CN115481520A - Oil deposit numerical simulation input data model framework - Google Patents

Abstract

The invention discloses a numerical reservoir simulation input data model framework, which comprises parallel data, mapping data, a parallel data set and a mapping data set: the method comprises the steps of separating a plurality of data in parallel data through parallel labels corresponding to the parallel data, separating mapping data names and mapping data values in mapping data through mapping labels corresponding to the mapping data, identifying parallel data ranges in parallel data sets through parallel set labels corresponding to the parallel data sets, and identifying mapping data ranges in mapping data sets through mapping set labels corresponding to the mapping data sets; the character string of the data is identified by a character string tag. According to the invention, the numerical reservoir simulation input data is represented by four structural type data such as parallel data, mapping data, a parallel data set and a mapping data set, so that the compatibility and the universality of the numerical reservoir simulation input data model are improved.

Description

Oil deposit numerical simulation input data model framework

Technical Field

The invention relates to the technical field of numerical reservoir simulation, in particular to a numerical reservoir simulation input data model framework.

Background

This section is intended to provide a background or context to the embodiments of the invention that are recited in the claims. The description herein is not admitted to be prior art by inclusion in this section.

The reservoir numerical simulation is a technical evaluation means for quantitatively predicting the underground reservoir fluid migration rule and the production well dynamics by solving a set of nonlinear partial differential equations through a numerical method, and comprehensively considers factors influencing the reservoir development dynamics, such as reservoir heterogeneous structure, reservoir permeability characteristics, fluid physical properties, well control variation and the like. Through numerical reservoir simulation, researchers can utilize actual oil reservoir production dynamic data to fit oil reservoir characteristics, uncertainty of reservoir recognition is reduced, oil reservoir production dynamic indexes under different well patterns and development modes can be predicted, and technical and economic evaluation and scheme optimization are carried out on actual oil reservoir investment and development. In view of the limitations of direct observation of underground reservoirs and the irreversibility of reservoir development processes, reservoir numerical simulation has become a necessary and unique means for quantitatively predicting reservoir development dynamics and scheme indexes.

In the actual development of reservoir numerical simulation, it often takes a lot of time to prepare input data, including but not limited to: reservoir description and modeling result data, fluid physical parameters obtained by laboratory measurement, petrophysical parameters and rock-fluid parameters, static and dynamic data of field production wells and the like. Different commercial reservoir simulators have their specific requirements on the input data format. FIG. 1 shows a data organization scheme for reservoir simulator ECLIPSE input data. As can be seen from fig. 1, the input data at least comprises: the first part is six parts of the global definition RUNSPEC, the geological model GRID, the rock fluid properties PROPS, the reservoir initial information SOLUTION, the simulation output control SUMMARY and the simulation scheme SCHEDULE, wherein each part comprises a plurality of keywords, and each keyword individually stipulates the format and the content of the input. Similar measures are taken by other reservoir simulators, VIP, CMG, etc.

However, the above-mentioned reservoir numerical simulation input data model has the following disadvantages: the use of each keyword lacks a uniform rule, a user needs to learn the input format and content requirements of specific keywords in each reservoir simulator, and in view of the comprehensiveness of reservoir simulation input data, the user needs to master at least hundreds of keywords to basically use the reservoir simulator, so that the learning cost is high. In addition, the input data has information redundancy. For example, the reservoir simulator needs to define dimension information such as the maximum well number, the maximum perforation number, the maximum partition information, and the like in advance, and even if the information is given at other positions in the input file, it is difficult for an ordinary user to analyze one reservoir simulation input file. Finally, the input data file prepared by the user is difficult to convert among different oil reservoir simulators, and is difficult to adapt to the development trends of specialized software intellectualization, platform, service and cloud, so that the problems of poor compatibility and poor universality exist in an oil reservoir numerical simulation input data model.

Disclosure of Invention

The embodiment of the invention provides a numerical reservoir simulation input data model framework, which is used for improving the compatibility and the universality of a numerical reservoir simulation input data model and comprises one or more data of the following structural types:

parallel data, mapping data, a parallel data set and a mapping data set;

the method comprises the steps of separating a plurality of data in parallel data through parallel labels corresponding to the parallel data, separating mapping data names and mapping data values in mapping data through mapping labels corresponding to the mapping data, identifying parallel data ranges in parallel data sets through parallel set labels corresponding to the parallel data sets, and identifying mapping data ranges in mapping data sets through mapping set labels corresponding to the mapping data sets;

wherein the character string of the data is identified by the character string tag.

In the embodiment of the invention, the oil reservoir numerical simulation input data model framework comprises one or more data in four structural types of parallel data, mapping data, a parallel data set and a mapping data set: the method comprises the steps of separating a plurality of data in parallel data through parallel labels corresponding to the parallel data, separating mapping data names and mapping data values in mapping data through mapping labels corresponding to the mapping data, identifying parallel data ranges in parallel data sets through parallel set labels corresponding to the parallel data sets, and identifying mapping data ranges in mapping data sets through mapping set labels corresponding to the mapping data sets; wherein the character string of the data is identified by the character string tag. According to the embodiment of the invention, the numerical reservoir simulation input data is represented by four structure types of parallel data, mapping data, a parallel data set, a mapping data set and the like, a general numerical reservoir simulation input data model which has the advantages of light weight, independence on development language, wide compatibility, suitability for oil reservoir simulation software cloud development application, convenience in exchange and sharing and the like is established, and the compatibility and the universality of the numerical reservoir simulation input data model are improved.

Drawings

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts. In the drawings:

FIG. 1 is a schematic diagram of reservoir simulator ECLIPSE input data provided in accordance with an embodiment of the present invention;

FIG. 2-1 is a schematic diagram of input data of a numerical reservoir simulation input data model framework according to an embodiment of the present invention;

FIG. 2-2 is another schematic diagram of input data of a reservoir numerical simulation input data model framework according to an embodiment of the present invention;

FIGS. 2-3 are schematic diagrams of simulation results of a numerical reservoir simulation input data model framework according to an embodiment of the present invention;

FIG. 3 is a schematic diagram of a geological grid model in a reservoir numerical simulation input data model framework according to an embodiment of the present invention;

FIG. 4-1 is a schematic diagram of a fluid model in a reservoir numerical simulation input data model framework according to an embodiment of the present invention;

FIG. 4-2 is a schematic diagram of a black oil fluid model in a reservoir numerical simulation input data model framework according to an embodiment of the present invention;

4-3 are schematic diagrams of simulation results of black oil fluid models in a numerical reservoir simulation input data model framework according to embodiments of the present invention;

FIG. 5-1 is a schematic diagram of a rock-fluid model in a reservoir numerical simulation input data model framework provided by an embodiment of the invention;

FIG. 5-2 is another schematic diagram of a rock-fluid model in a reservoir numerical simulation input data model framework provided by an embodiment of the invention;

FIG. 6-1 is a schematic diagram of a balanced partition model in a reservoir numerical simulation input data model framework according to an embodiment of the present invention;

FIG. 6-2 is another schematic diagram of a balanced partition model in a reservoir numerical simulation input data model framework according to an embodiment of the present invention;

FIG. 7 is a schematic diagram of the definition of injected fluids in a numerical reservoir simulation input data model framework according to an embodiment of the present invention;

FIG. 8-1 is a schematic diagram of a well definition in a reservoir numerical simulation input data model framework provided by an embodiment of the present invention;

FIG. 8-2 is another schematic diagram of a production well definition in a reservoir numerical simulation input data model framework provided by an embodiment of the invention;

FIG. 9 is a schematic diagram of well control data of a production well in a numerical reservoir simulation input data model framework according to an embodiment of the present invention;

FIG. 10 is a schematic diagram of a time step control parameter in a reservoir numerical simulation input data model framework according to an embodiment of the present invention;

fig. 11 is a schematic diagram of control parameters of a linear solver in a numerical reservoir simulation input data model framework according to an embodiment of the present invention.

Detailed Description

In order to make the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the embodiments of the present invention are further described in detail below with reference to the accompanying drawings. The exemplary embodiments and descriptions of the present invention are provided to explain the present invention, but not to limit the present invention.

FIG. 2-1 shows a schematic of a numerical reservoir simulation input data model framework provided by an embodiment of the invention, and FIG. 2-2 is another schematic of numerical reservoir simulation input data model framework input data provided by an embodiment of the invention; for convenience of description, only parts related to the embodiments of the present invention are shown, and the detailed description is as follows:

as shown in fig. 2-1 and 2-2, a reservoir numerical simulation input data model framework includes one or more data of the following structure types: parallel data, mapping data, a parallel data set, and a mapping data set.

The method comprises the steps of separating a plurality of data in parallel data through parallel labels corresponding to the parallel data, separating mapping data names and mapping data values in mapping data through mapping labels corresponding to the mapping data, identifying parallel data ranges in parallel data sets through parallel set labels corresponding to the parallel data sets, and identifying mapping data ranges in mapping data sets through mapping set labels corresponding to the mapping data sets.

Wherein the character string of the data is identified by the character string tag. For example, the string tag may be a double quotation mark by which a string of input data is included to identify a range of the string.

In an embodiment of the present invention, in order to improve the identification of the reservoir numerical simulation input data, the reservoir numerical simulation input data model frame comprises:

the parallel labels corresponding to the parallel data comprise commas;

mapping labels corresponding to the mapping data comprise colons;

the parallel set labels corresponding to the parallel data sets comprise square brackets;

the mapping set tag corresponding to the mapping data set includes a brace.

The reservoir numerical simulation input data model framework structurally divides all input data into four types of parallel data, mapping data, parallel data sets and mapping data sets, and the four types of data are respectively represented by comma symbols, colon symbols, brackets and braces. The character strings in the model frame are wrapped by double quotation marks, and commas are not needed after the last data in the set.

In one embodiment of the invention, in order to improve the richness of reservoir numerical simulation input data, data of each structure type is described by data layering nesting of one or more structure types in other three structure types.

And (4) hierarchical nesting, namely, each input data type in the oil reservoir numerical simulation input data model framework can further describe self information by using other data types according to needs.

For example, each data value of the parallel data may be any one of three types of mapping data, parallel data set, and mapping data set. The mapping value of the mapping data can be any one of three types of parallel data, parallel data sets and mapping data sets. The data in the parallel data set can be any one of mapping data, the parallel data set and the mapping data set. The value of the mapping data in the mapping data set can be any one of three types of parallel data, parallel data sets and mapping data sets.

In the embodiment of the invention, the oil reservoir numerical simulation input data model framework comprises one or more data in four structural types of parallel data, mapping data, a parallel data set and a mapping data set: separating a plurality of data in the parallel data by parallel labels corresponding to the parallel data, separating mapping data names and mapping data values in the mapping data by mapping labels corresponding to the mapping data, identifying parallel data ranges in the parallel data sets by parallel set labels corresponding to the parallel data sets, and identifying mapping data ranges in the mapping data sets by mapping set labels corresponding to the mapping data sets; wherein the character string of the data is identified by the character string tag. According to the embodiment of the invention, the numerical reservoir simulation input data is represented by four structure types of parallel data, mapping data, a parallel data set, a mapping data set and the like, a general numerical reservoir simulation input data model which has the advantages of light weight, independence on development language, wide compatibility, suitability for oil reservoir simulation software cloud development application, convenience in exchange and sharing and the like is established, and the compatibility and the universality of the numerical reservoir simulation input data model are improved.

In one embodiment of the present invention, as shown in fig. 2-1 and 2-2, to improve the compatibility and versatility of the reservoir numerical simulation input data, the reservoir numerical simulation input data model framework maps one or more of the following four mapping data:

the example description and the example description map a data set;

parallel data set of oil reservoir characteristics and oil reservoir characteristics;

a well and ground facility and a well and ground facility mapping data set;

simulation control and simulation control mapping data sets.

The method comprises the steps of obtaining an oil deposit numerical simulation input data, obtaining an operational example, obtaining an oil deposit numerical simulation input data, obtaining an oil deposit characteristic of the oil deposit numerical simulation input data, obtaining dynamic data of the oil deposit numerical simulation input data by a well and a ground facility, and obtaining simulation control information of the oil deposit numerical simulation by simulation control.

As shown in fig. 2-1 and 2-2, the top layer of the reservoir numerical simulation input data model frame is a set of four mapping data, specifically: example description, reservoir characteristics, well and surface facilities, simulation control. The example description part mainly reflects the global information of the numerical reservoir simulation input data, the reservoir characteristics reflect the reservoir characteristics of the numerical reservoir simulation input data, the well and the ground facilities reflect the dynamic data of the numerical reservoir simulation, and the simulation control reflects the simulation control information of the numerical reservoir simulation.

In the embodiment of the invention, the four data of the example description, the reservoir characteristics, the well and ground FACILITIES and the simulation control are mapping data, the names of the mapping data are respectively 'CASE', 'RESERVOIRS', 'FACILITIES' and 'RUNCONT ROL', and the mapping values corresponding to the mapping data are respectively: the method comprises the steps of describing a mapping data set, a reservoir characteristic parallel data set, a well and ground facility mapping data set and a simulation control mapping data set.

In one embodiment of the invention, to improve the accuracy of the example description in the reservoir numerical simulation input data, the set of example description mapping data includes one or more of the following mapping data:

example names and example name mapping values;

detailed description and detailed description of the mapped values;

adopting a unit system and adopting a unit system mapping value;

date format and date format mapping values.

The method comprises the steps of obtaining numerical reservoir simulation input data, obtaining an example name, obtaining a detailed description, obtaining unit system, and obtaining date format, wherein the example name reflects an output file name of the numerical reservoir simulation, the detailed description reflects an example description of the numerical reservoir simulation, the unit system reflects a unit system adopted by variables in the numerical reservoir simulation input data, and the date format reflects a date format adopted by the numerical reservoir simulation input data.

In the embodiment of the present invention, as shown in fig. 2-1 and fig. 2-2, the example description values are mapping data sets, which include: example name, detailed description, unit system adopted and date format. For example, the NAME of the example NAME data is "NAME", and its corresponding data value is usually used as the output file NAME. The detailed description data is named "DESC RIPTION" and its corresponding data value is used to describe the simulation example in more detail. The UNIT SYSTEM data is named as "UNIT _ SYSTEM", and in one embodiment, the corresponding data value "ENGLISH" indicates that each variable in the input data is in English SYSTEM UNITs. The DATE FORMAT data is named "DATE _ FORMAT", and in one embodiment, the corresponding data value "YYYY-MM-DD" indicates that the first four digits of the string are year, the middle two digits are month, and the last two digits are DATE. Similarly, the data value may be given as "MM-DD-YYYY" or "DD-MM-YYYY". 2-3 show a model framework of reservoir numerical simulation input data provided by an embodiment of the present invention, and the obtained simulation results are schematic.

In one embodiment of the invention, to improve the accuracy of reservoir characteristics in the reservoir numerical simulation input data, the reservoir characteristic parallel data set includes one or more of the following mapping data:

mapping data sets of the geological grid model and the geological grid model;

a fluid model and a fluid model mapping data set;

a rock-fluid model and rock-fluid model mapping data set;

a rock model and rock model mapping data set;

the balanced partition model maps the data set with the balanced partition model.

The geological grid model reflects reservoir structural characteristics and reservoir attribute characteristics of reservoir numerical simulation, the fluid model reflects fluid physical properties of the reservoir numerical simulation, the rock-fluid model reflects a facies permeability model or a saturation function of the reservoir numerical simulation, the rock model reflects reservoir rock properties of the reservoir numerical simulation, and the balance partition model reflects balance partition information of the reservoir numerical simulation.

In the embodiment of the invention, the reservoir characteristic mapping data set comprises mapping data: the data name of the geological GRID MODEL is GRID _ MODEL, and the corresponding data value is a geological GRID MODEL mapping data set and is mainly used for describing reservoir structural characteristics and reservoir attribute characteristics.

In the embodiment of the present invention, the reservoir characteristic mapping data set further includes mapping data: the data name of the FLUID MODEL is 'FLUID _ MODEL', and the corresponding data values are a set of FLUID MODEL mapping data and are mainly used for describing the physical properties of reservoir FLUID.

In the embodiment of the present invention, the reservoir characteristic mapping data set further includes mapping data: the rock-fluid MODEL is named as ROCKLUID _ MODEL, and the corresponding data value is a set of rock-fluid MODEL mapping data which are mainly used for describing a phase-permeability MODEL (or a saturation function).

In the embodiment of the present invention, the reservoir characteristic mapping data set further includes mapping data: the ROCK MODEL is a ROCK _ MODEL, and the data name of the ROCK MODEL is ROCK _ MODEL, and the corresponding data value is a set of ROCK MODEL mapping data and is mainly used for describing reservoir ROCK properties.

In the embodiment of the present invention, the reservoir characteristic mapping data set further includes mapping data: the data name of the balanced partition MODEL is 'equal partitioned _ mode', and the corresponding data value is a set of mapping data of the balanced partition MODEL and is mainly used for describing reservoir balanced partition information.

FIG. 3 is a schematic diagram of a geological grid model within a model framework of reservoir numerical simulation input data provided by an embodiment of the present invention, and for ease of description, only the portions relevant to the embodiment of the present invention are shown and described in detail below:

as shown in FIG. 3, to improve the accuracy of the geological grid model in the reservoir numerical simulation input data, the set of geological grid model mapping data includes one or more of the following mapping data:

mapping values of the geological grid type and the geological grid type;

the geological grid model dimension and the geological grid model dimension are parallel to form a data set; the geological grid model dimension parallel data set comprises the following mapping data: mapping values of the geological grid model dimension and the geological grid model dimension;

the block center grid size and the block center grid size are parallel data sets;

mapping a data set by the geological grid permeability tensor and the geological grid permeability tensor; the geological grid permeability tensor mapping data set comprises mapping values of a geological grid permeability tensor component and a geological grid permeability tensor component;

and mapping the grid top surface center depth to the grid top surface center depth.

In an embodiment of the invention, the set of geological grid model mapping data comprises mapping data: the mapping data named as "TYPE" is used for inputting a geological grid TYPE, a geological grid TYPE mapping value corresponding to the geological grid TYPE, a geological grid TYPE mapping value of "BC" represents a block center grid, and a commonly used grid TYPE (geological grid TYPE mapping value) also comprises a corner grid "CPG".

In an embodiment of the present invention, as shown in fig. 3, the geological grid model mapping data set further includes mapping data: the mapping data named "SIZE" is used for inputting the dimensions of the geological grid model in the three directions of XYZ, and the data values of the mapping data are the dimensional parallel data set of the geological grid model. The geological grid model dimension parallel data set comprises mapping data: the geological grid model dimension and the geological grid model dimension are parallel to form a data set; the geological grid model dimension parallel data set comprises the following mapping data: and mapping the geological grid model dimension and the geological grid model dimension.

In an embodiment of the invention, the set of geological grid model mapping data further comprises mapping data: mapping data named "DX", "DY", and "DZ" are used to input the size of each block center mesh in the XYZ three directions, and the data values thereof are block center mesh size parallel data sets.

In an embodiment of the invention, the set of geological grid model mapping data further comprises mapping data: the mapping data named "PERM" is used to input permeability tensor information for each grid, the data values of which are geological grid permeability tensor mapping data sets, each data in a geological grid permeability tensor mapping data set represents one component of the permeability tensor, i.e. the geological grid permeability tensor mapping data set includes mapping data: and mapping the permeability tensor component of the geological grid with the permeability tensor component of the geological grid.

In an embodiment of the present invention, as shown in fig. 3, the set of geological grid model mapping data further comprises mapping data: the data with the name of "TOPS" of mapping data is used to input the depth of the center of the top surface of each mesh, and the corresponding data value is the depth mapping value of the center of the top surface of the mesh.

In one embodiment of the invention, in order to facilitate reading of a block center grid size parallel data set, the geological grid type and geological grid type mapping value comprises a corner grid name and a corner grid coordinate; and/or

The block center mesh size parallel data set as the external link file includes mapping data: the external link file name and the external link file URL address.

In the embodiment of the invention, if the geological grid type selects the corner grid, the data of the block center grid is replaced by two mapping data named as 'COORD' and 'ZCORN', and the two mapping data are respectively used for inputting the coordinate information of the corner grid.

For a large number of block center grid size parallel data sets, for the convenience of reading, the block center grid size parallel data sets are processed into external link files, information of the link files is given by mapping data named as 'URL', and corresponding data values are URL addresses of the external link files. In the specific implementation process, the content in the external link file can be read in advance.

Fig. 4-1 is a schematic diagram of a fluid model in a reservoir numerical simulation input data model framework according to an embodiment of the present invention, fig. 4-2 is a schematic diagram of a black oil fluid model in a reservoir numerical simulation input data model framework according to an embodiment of the present invention, fig. 4-3 is a schematic diagram of a simulation result obtained based on the black oil fluid model in the reservoir numerical simulation input data model framework according to an embodiment of the present invention, and for convenience of description, only the parts related to the embodiment of the present invention are shown, and the details are as follows:

4-1 and 4-2, to improve the accuracy of black oil fluid in the reservoir numerical simulation input data, the fluid model mapping data set includes the following mapping data:

a fluid type to fluid type map value; when the fluid type is a black oil fluid, the fluid type to fluid type map value includes the following map data: black oil fluid to black oil fluid map values, and black oil fluid phase to black oil fluid phase juxtaposition data sets.

In an embodiment of the invention, the fluid model mapping data set comprises: the mapping data named "TYPE" is used to input the fluid TYPE, and its corresponding data value (fluid TYPE mapping value) "BLACKOIL" represents the black oil fluid. Under conditions where the fluid type is determined to be black oil fluid, the fluid model mapping data set further includes the following mapping data: the mapping data named "PHASES" is used to input the fluid phase information, and the corresponding data values are the parallel data sets of black oil fluid PHASES.

In one embodiment of the present invention, as shown in fig. 4-1 and 4-2, to improve the accuracy of the parallel black oil fluid phase data set in the reservoir numerical simulation input data, the parallel black oil fluid phase data set includes one or more of the following mapping data:

black oil fluid phase name and black oil fluid phase name mapping values;

black oil fluid phase standard condition density and black oil fluid phase standard condition density mapping values;

black oil fluid PVT table and black oil fluid PVT table map values.

In an embodiment of the invention, the black oil fluid phase parallel data set comprises one or more of the following mapping data: three mapping DATA, named "PHASE _ NAME", "STANDARD _ DENS", "PVT _ DATA", respectively, are entered into the fluid PHASE NAME, the density at STANDARD conditions, and PVT DATA tables for fluid volume coefficient, viscosity, and dissolved PHASE content as a function of pressure.

In one embodiment of the invention, to improve the accuracy of the constituent fluids in the reservoir numerical simulation input data, the fluid model mapping data set includes one or more of the following mapping data:

a fluid type to fluid type map value; when the fluid type is a component fluid, the fluid type to fluid type map value includes the following map data:

component fluid to component fluid map values;

a component fluid phase to component fluid phase mapping data set; the set of component fluid phase mapping data includes the following mapping data: component fluid phase name to component fluid phase name mapping values, hydrocarbon component fluid phase to hydrocarbon component fluid phase mapping values;

mapping data sets of fluid component information and fluid component information; the fluid composition information mapping data set includes the following mapping data: the method comprises the following steps that a parallel data set of water component information and a parallel data set of hydrocarbon component information and hydrocarbon component information are obtained;

a component fluid viscosity model parameter and component fluid viscosity model parameter mapping data set; the component fluid viscosity model parameter mapping data set includes the following mapping data: component fluid viscosity model and component fluid viscosity model mapping values, component fluid viscosity model parameters and component fluid viscosity model parameter mapping values;

a component fluid flash method parameter and a component fluid flash method parameter mapping data set; the component fluid flash method parameter mapping data set comprises the following mapping data: a component fluid flash method and component fluid flash method mapping value, a component fluid flash method parameter and component fluid flash method parameter mapping value;

the fluid phase composition relationship maps values with the fluid phase composition relationship.

In an embodiment of the present invention, the fluid model mapping data set includes: the mapping data named "TYPE" is used to input the fluid TYPE, whose corresponding data value "COMPOSITIONAL" represents the component fluid.

In this embodiment of the present invention, under the condition that the determined type is a component fluid model, the fluid model mapping data set further includes: the mapping data named "PHASES" is used to input information of a fluid phase, and the corresponding data value is a component fluid phase mapping data set containing a plurality of parallel data, and each data in the component fluid phase mapping data set is mapping data. Further inputting the NAME of the fluid PHASE with mapping data named "PHASE _ NAME", and whether the fluid PHASE is a hydrocarbon fluid PHASE is marked with mapping data named "ISAQUPHASE", the hydrocarbon fluid PHASE in the component fluid model need not be input into a PVT data table like that used in the black oil fluid model.

In this embodiment of the present invention, under the condition that the determined type is a component fluid model, the fluid model mapping data set further includes: the mapping data named 'COMPONENTS' is used for inputting component information, and the corresponding data values are a set of mapping data, mainly comprising mapping data named 'AQUCOMPONENTS' and mapping data named 'HCComponents'. The mapping data named 'AQUCOMPONENTS' is used for inputting water component information, the corresponding data value is a set of parallel data, and each data in the set corresponds to one water component. The mapping data, named "HCCOMPONENTS", is used to input hydrocarbon composition information, with corresponding data values as a set of juxtaposed data, each data in the set corresponding to a hydrocarbon composition.

In this embodiment of the present invention, under the condition that the determined type is a component fluid model, the fluid model mapping data set further includes: mapping data, entitled "VISC _ MODEL," is used to input fluid viscosity MODELs and parameters. Wherein mapping data named "METHOD" is used to select a METHOD for calculating the viscosity of the fluid, in the examples "LBC" is the most common LBC viscosity model among the compositional models; the mapping data named "PARAMS" was used to input 5 parameters of the LBC viscosity model.

In this embodiment of the present invention, under the condition that the determined type is a component fluid model, the fluid model mapping data set further includes: the data with the mapping data name "FLASH _ MODEL" was used to input the method and parameters for the composition fluid FLASH calculation. Wherein, the mapping data named "METHOD" is used to select a METHOD of flash computation, in the embodiment, "NEWTON" is a mainstream Newton iteration METHOD; "TOL" and "TOLSS" represent the limit of iterative convergence during flash computation and the limit of the end of SSI iteration, respectively.

In an embodiment of the present invention, mapping data named "PHASE _ COMP _ release" is used to input the fluid PHASE to composition relationship. In one embodiment, for the classical black oil model, only the gas component is present in the gas phase, the gas component and the oil component are included in the oil phase, and only the water component is included in the water phase; in another embodiment, for the compositional model, the aqueous phase contains only the water component and the oil and gas phases contain all of the hydrocarbon components.

In an embodiment of the invention, in order to improve the accuracy of the parallel data set of water component information in the numerical reservoir simulation input data, the parallel data set of water component information includes one or more of the following mapping data:

mapping values of water component names and water component names;

mapping values of water component molecular weight and water component molecular weight;

a water component charge number and water component charge number mapping value;

and water component ion intensity mapping values.

In the embodiment of the invention, the water component data is a set of mapping data, namely a water component information parallel data set. The parallel data set of the water component information comprises one or more of the following mapping data: mapping values of water component names and water component names; mapping values of water component molecular weight and water component molecular weight; a water component charge number and water component charge number mapping value; and a water composition ion intensity to water composition ion intensity map value. Namely, the NAMEs, molecular weights, CHARGE numbers, ionic strengths of the water components are inputted with mapping data named "NAME", "MW", "CHARGE", "ELECTROLYTE", respectively.

In one embodiment of the invention, to improve the accuracy of the parallel data set of hydrocarbon composition information in the reservoir numerical simulation input data, the parallel data set of hydrocarbon composition information includes one or more of the following mapping data:

a hydrocarbon component name to hydrocarbon component name mapping value;

a hydrocarbon component molecular weight to hydrocarbon component molecular weight map value;

a hydrocarbon component critical pressure to hydrocarbon component critical pressure map value;

a hydrocarbon component critical temperature to hydrocarbon component critical temperature map value;

a hydrocarbon component critical volume to hydrocarbon component critical volume map value;

a hydrocarbon component volume adjustment parameter to hydrocarbon component volume adjustment parameter map value;

a hydrocarbon component deviation coefficient and hydrocarbon component deviation coefficient map value;

and mapping values of the two-dimensional interaction coefficients between different hydrocarbon components and the two-dimensional interaction coefficients between different hydrocarbon components.

In an embodiment of the invention, the hydrocarbon composition information is a parallel data set, where the data in the set are in a parallel relationship, and each data corresponds to one hydrocarbon composition data. The parallel data set of hydrocarbon component information is a set of a plurality of mapping data belonging to a parallel relationship, and the NAMEs, molecular weights, critical pressures, critical temperatures, critical volumes, volume adjustment parameters, and deviation coefficients of hydrocarbon components are inputted with the mapping data named "NAME", "MW", "PCRIT", "TCRIT", "VCRIT", "SHIFT", and "ACF", respectively.

In an embodiment of the present invention, under the condition that the determined type is the component fluid model, the parallel data set of hydrocarbon component information further includes: the mapping data, named "BINA", is used to input the two-dimensional interaction coefficients of the different hydrocarbon components with each other.

Fig. 5-1 shows a rock-fluid model schematic in a reservoir numerical simulation input data model framework provided by an embodiment of the invention, and fig. 5-2 shows another rock-fluid model schematic in a reservoir numerical simulation input data model framework provided by an embodiment of the invention, and for convenience of description, only the parts related to the embodiment of the invention are shown, and the details are as follows:

as shown in fig. 5-1 and 5-2, to improve the accuracy of the rock-fluid model mapping data set in the reservoir numerical simulation input data, the rock-fluid model mapping data set includes one or more of the following mapping data:

rock-fluid permeability and rock-fluid permeability are juxtaposed to a data set; the rock-fluid permeability parallel data set comprises the following mapping data: the rock-fluid phase permeability saturation function and rock-fluid phase permeability saturation function mapping data set comprises a saturation function table name and a saturation function table mapping data set;

and mapping values of the three-phase-infiltration model and the three-phase-infiltration model.

In an embodiment of the present invention, the rock-fluid model mapping data set (i.e. data values of the rock-fluid model) includes: the mapping data named "RELPERM" is used to input the phase permeation data obtained from laboratory measurements. The data value is a rock-fluid permeability parallel data set, and each data in the set corresponds to a saturation function table, namely a rock-fluid permeability saturation function mapping data set. The rock-fluid permeability saturation function mapping data set comprises mapping data: and mapping the table name of the saturation function and the table mapping data set of the saturation function.

In an embodiment of the present invention, as shown in fig. 5-1 and 5-2, the rock-fluid model mapping data set further includes: the mapping data named "3phase _mode" is used to input the three-phase-permeation model, and for example, the mainstream STONE1 method (three-phase-permeation model mapping values) is used to calculate the mesophase (oil phase) phase permeation values.

In an embodiment of the invention, in order to improve the accuracy of the saturation function table mapping data set in the reservoir numerical simulation input data, the saturation function table mapping data set comprises one or more of the following mapping data:

saturation and saturation mapping values;

a first relative permeability to a first relative permeability map;

a second relative permeability and a second relative permeability map value;

and a capillary pressure and capillary pressure mapping value;

the saturation function table mapping data set further comprises one or more of the following mapping data:

the curve type of the phase seepage data table and the curve type mapping value of the phase seepage data table;

the wetting hysteresis model maps values with the wetting hysteresis model.

In the embodiment of the present invention, the saturation function table is a set of mapping DATA, that is, the table NAME and the saturation function table DATA are input by using mapping DATA named "NAME" and "SATFUN _ DATA", respectively, and the DATA value of the saturation function table DATA is a set of saturation function table mapping DATA. The saturation function table mapping data set comprises four mapping data including one saturation, two relative permeabilities and one capillary pressure.

In an embodiment of the present invention, the rock-fluid model mapping data set further includes: adding mapping data named 'ISIMDDATA' in a set of mapping data describing a saturation function table, and further indicating whether the phase-permeation data table is an inhalation curve or a expulsion curve (a phase-permeation data table curve type mapping value); the mapping data named "hystersis" is used to input the wetting HYSTERESIS model, the data values of which are the wetting HYSTERESIS model mapping values.

In an embodiment of the present invention, in order to improve the accuracy of the rock model mapping data set in the reservoir numerical simulation input data, the rock model mapping data set includes the following mapping data:

mapping data sets of rock compression coefficients under different reference pressures and rock compression coefficients under different reference pressures; the set of rock compression coefficient mapping data at different reference pressures comprises the following mapping data: different reference pressures and different reference pressure mapping values, rock compression coefficients and rock compression coefficient mapping values.

In an embodiment of the invention, in a rock model mapping data set: the mapping data named "ROCK" is used for inputting compression coefficients of ROCKs at different reference pressures, and the data values of the mapping data are ROCK compression coefficient mapping data sets at different reference pressures. The set of rock compression coefficient mapping data at different reference pressures comprises mapping data: the mapping data named as "PRESSURE" is used for inputting different reference PRESSUREs, and the corresponding data values are different reference PRESSURE mapping values; the name "compression" is used to input different rock compression coefficients, and the corresponding data values are rock compression coefficient mapping values.

FIG. 6-1 shows a schematic diagram of a balanced zonal model in a numerical reservoir simulation input data model framework according to an embodiment of the present invention, and FIG. 6-2 shows another schematic diagram of a balanced zonal model in a numerical reservoir simulation input data model framework according to an embodiment of the present invention, and for convenience of description, only the parts related to the embodiment of the present invention are shown, and detailed descriptions are as follows:

6-1 and 6-2, to improve the accuracy of the balanced zonal model mapping dataset in the reservoir numerical simulation input data, the balanced zonal model mapping dataset includes one or more of the following mapping data:

a grid initial temperature and a grid initial temperature mapping value;

and mapping the data set by the initial oil deposit information and the initial oil deposit information.

In the embodiment of the present invention, the balance partition model mapping data set (i.e. the data values of the balance partition model) includes: the mapping data named "TEMP" is used to input the initial temperature of each grid, and the corresponding data value is the grid initial temperature mapping value. In this embodiment of the present invention, the mapping data set of the balanced partition model further includes: the mapping DATA named "EQUIL _ DATA" is used for inputting reservoir initial information, and the DATA value of the mapping DATA is a reservoir initial information mapping DATA set.

In one embodiment of the invention, in order to improve the accuracy of the reservoir initial information mapping data set in the reservoir numerical simulation input data, the reservoir initial information mapping data set includes one or more of the following mapping data:

mapping values of the balance partition datum plane and the balance partition datum plane;

the pressure of the reference surface of the balance subarea and the pressure mapping value of the reference surface of the balance subarea;

the balance partition oil-water interface and the balance partition oil-water interface mapping value;

the capillary force at the oil-water interface of the balance subarea and the capillary force mapping value at the oil-water interface of the balance subarea;

the balance zone oil-gas interface and the balance zone oil-gas interface are mapped;

the capillary force at the oil-gas interface of the balance subarea and the capillary force mapping value at the oil-gas interface of the balance subarea are obtained;

an irreducible water saturation to irreducible water saturation map value;

residual oil saturation and residual oil saturation mapping values;

the residual gas saturation maps a value with the residual gas saturation.

In the embodiment of the present invention, as shown in fig. 6-1 and 6-2, the reservoir initial information mapping data set includes the following mapping data: the mapping data named "DATUM" is used to input the reference planes of all the balanced partitions, and the corresponding data values are the balanced partition reference plane mapping values. The mapping data named "PRESSURE" is used to input the PRESSURE at the datum for all of the equilibrium stages, and the corresponding data value is the equilibrium stage datum PRESSURE mapping value. The mapping data named as 'WOC' is used for inputting oil-water interfaces of all balance partitions, and the corresponding data values are oil-water interface mapping values of the balance partitions. And the mapping data named as 'PCOW' is used for inputting the capillary force at the oil-gas interface of all the balance subareas, and the corresponding data value is the capillary force mapping value at the oil-water interface of the balance subareas. The mapping data named as the GOC is used for inputting the data values corresponding to the oil-gas interfaces of all the balance subareas into the oil-gas interface mapping values of the balance subareas. The mapping data named 'PCGO' is used for inputting data values corresponding to the capillary force of the oil-gas interface of all the balance subareas into the capillary force mapping values of the oil-gas interface of the balance subareas. The names "SWI", "SOR" and "SGR" are used to input irreducible water saturation, residual oil saturation, and residual gas saturation, respectively, and the corresponding data values are irreducible water saturation map values, residual oil saturation map values, and residual gas saturation map values, respectively. All mapping data values contained in the initial oil reservoir information are a set of parallel data, and a corresponding value of one balance partition corresponds to one data.

In one embodiment of the present invention, to further improve the accuracy of the balanced compartmental model mapping data set in the reservoir numerical simulation input data, when the fluid type is a component fluid, the balanced compartmental model mapping data set further comprises the following mapping data:

the oil reservoir initial component composition and the oil reservoir initial component composition form a parallel data set; the parallel data set formed by the initial components of the oil reservoirs comprises the initial components of the oil reservoirs at different depths and mapping values formed by the initial components of the oil reservoirs at different depths.

In the embodiment of the present invention, under the condition that the fluid type is a component model, the balance partition model mapping data set (data values of the balance partition model) further includes: the mapping data named ZMFVD is used for defining the initial component composition of the oil reservoir, the data values of the mapping data form a parallel data set for the initial component composition of the oil reservoir, each datum in the set gives the initial composition of the oil reservoir component at different depths, and the corresponding data values form the mapping values for the initial component composition of the oil reservoir at different depths.

FIG. 7 illustrates a schematic diagram of the injection of fluid definitions into the reservoir numerical simulation input data model framework provided by an embodiment of the present invention, and for ease of description, only the portions relevant to the embodiment of the present invention are shown and described below:

as shown in fig. 7, to improve the accuracy of the well-to-surface facility mapping data set in the reservoir numerical simulation input data, the well-to-surface facility mapping data set includes one or more of the following mapping data:

an injection fluid and an injection fluid are parallel data sets; the injection fluid parallel data set includes the following mapping data: an injection fluid type to injection fluid type mapping data set, the injection fluid type mapping data set comprising the following mapping data: an injection fluid name and injection fluid name mapping value, an injection fluid composition component and an injection fluid composition component mapping value;

parallel data sets of production wells and production wells;

parallel data sets of the production well control information and the production well control information are obtained; the production well control information parallel data set comprises the following mapping data: and mapping data sets of the well control conditions of the production wells and the well control conditions of the production wells.

In an embodiment of the invention, the well and surface facility data values are a well and surface facility mapping data set used to define dynamic data such as injected fluids, wells (perforations), well control, etc. In one embodiment, as shown in FIG. 7, the well to surface facility mapping data set includes: the mapping data, named "STREAMS", is used to define the injection fluid, and has data values of an injection fluid parallel data set, which includes the mapping data: each data corresponds to an injection fluid, i.e., an injection fluid type and injection fluid type mapping data set. Further, the data values for the injection fluid type (i.e., the injection fluid type mapping data set) include the following mapping data: mapping data named "NAME" is used to define the injection fluid; the mapping data, entitled "COMPOSITION," is used to define the COMPOSITION of the components in the injection fluid, with the data values constituting the mapped values for the injection fluid COMPOSITION, and the injection fluid COMPOSITION constituting the mapped values as a parallel data set.

FIG. 8-1 shows an illustration of a well definition in a reservoir numerical simulation input data model framework provided by an embodiment of the invention, and FIG. 8-2 shows another illustration of a well definition in a reservoir numerical simulation input data model framework provided by an embodiment of the invention, and for convenience of description, only the parts related to the embodiment of the invention are shown, and are detailed as follows:

as shown in fig. 8-1 and 8-2, the well to surface facility mapping data set further includes: the mapping data, named "WELLS", is used to define a producer well, whose data values are a parallel data set of producer WELLS, with each data in the set corresponding to a producer well. Further, the defining data of the production well is a mapping data set.

In an embodiment of the present invention, as shown in fig. 8-1 and 8-2, the well-to-surface facility mapping data set further includes: the mapping data named 'CONSTRATNS' is used for defining well control information of a production well, the data value of the mapping data is a production well control information parallel data set, and one data in the production well control information parallel data set corresponds to a well control condition. Namely mapping data: and mapping data sets of the well control conditions of the production wells and the well control conditions of the production wells. I.e., the definition of well control conditions is a set of production well control condition mapping data.

In one embodiment of the invention, to improve the accuracy of the producer map data set in the reservoir numerical simulation input data, the producer parallel data set comprises the following map data: a producer and producer mapping data set; the set of production well mapping data includes one or more of the following mapping data:

a production well completion date and production well completion date mapping value;

mapping values of the production well names and the production well names;

mapping values of the production well group and the production well group;

mapping values of the production well oil reservoir names and the production well oil reservoir names;

producing well aging and producing well aging mapping values;

a producer type to producer type mapping value;

the production well pressure reference surface and the production well pressure reference surface type mapping value;

mapping values of the grid positions of the production wells and the grid positions of the production wells;

mapping data sets of first perforation information of the production well and first perforation information of the production well;

and mapping the second perforation information of the production well with the second perforation information of the production well to a data set.

In an embodiment of the present invention, as shown in FIGS. 8-1 and 8-2, the set of producer map data (i.e., producer definition data) includes mapping data: the mapping data named "TIME" is used to define the completion date for the production well, and the corresponding data value is the production well completion date mapping value. The mapping data named "NAME" is used to define a production well NAME, and the corresponding data value is a production well NAME mapping value. The mapping data named "GROUP" is used to define the well GROUP name where the producing well is located, and the corresponding data value is the producing well GROUP mapping value. The mapping data named "resetoid" is used to define the name of the RESERVOIR where the producing well is located, and the corresponding data value is the producing well RESERVOIR name mapping value. The mapping data named "ONTIME" is used to define the aging of the producer well, and the corresponding data values are producer well aging mapping values. The mapping data, named "STREAM", is used to define the type of well, with a value of "PRODUCER" indicating a producing well for that well, and a value of one of the previously described injection fluid definitions indicating an injecting well for that well. The mapping data, named "DATUM", is used to define a pressure reference for a well, with a value of-9999.9999 indicating that the depth at which the first perforation of the well (counted down from the wellhead) is to be taken as the reference. Mapping data named "DATUM" is used to define the pressure reference of the well; the mapping data named "WELLHEAD" is used to define the grid location where the WELLHEAD is located;

in one embodiment of the invention, to improve the accuracy of the first set of production well perforation information mapping data in the reservoir numerical simulation input data, the first set of production well perforation information mapping data comprises one or more of the following mapping data:

the perforation grid global serial number and the perforation grid global serial number are in parallel data set; the perforation grid global numbering parallel data set comprises the following mapping data: mapping values of the perforation grid global numbers and the perforation grid global numbers;

the perforation well index and the perforation well index are in parallel data set; the perforated well index parallel data set comprises the following mapping data: and mapping the perforated well index and the perforated well index.

In an embodiment of the invention, the first set of perforation information mapping data for the production well comprises mapping data: the mapping data named as 'PERFID' gives the global serial numbers of all perforation grids, and the corresponding data values are perforation grid global serial number parallel data sets. The values of the mapping data contained in all the well perforation information are parallel data sets, and one data corresponds to one perforation grid. That is, the perforation grid global numbering parallel data set comprises the following mapping data: and mapping the perforation grid global number and the perforation grid global number. The mapping data named "WI" gives the well index for all perforations.

In one embodiment of the invention, to improve the accuracy of the second set of production well perforation information mapping data in the reservoir numerical simulation input data, the second set of production well perforation information mapping data comprises one or more of the following mapping data:

the serial numbers of the perforation grids in the X direction and the serial numbers of the perforation grids in the X direction are in parallel data set; the perforation grid X-direction serial number parallel data set comprises the following mapping data: mapping values of the X-direction serial numbers of the perforation grids and the X-direction serial numbers of the perforation grids;

the serial numbers of the perforation grids in the Y direction and the serial numbers of the perforation grids in the Y direction are in parallel data set; the perforation grid Y-direction serial number parallel data set comprises the following mapping data: mapping values of the serial numbers of the perforation grids in the Y direction and the serial numbers of the perforation grids in the Y direction;

a perforation grid Z-direction serial number and a perforation grid Z-direction serial number are in parallel data set; the perforation grid Z-direction serial number parallel data set comprises the following mapping data: mapping values of the numbers of the perforation grids in the Z direction and the numbers of the perforation grids in the Z direction;

the radius of the perforation well hole and the radius of the perforation well hole are in parallel data set; the parallel data set of the perforation well hole radius comprises the following mapping data: the radius of the perforating well hole and the radius mapping value of the perforating well hole;

parallel data sets of perforation skin coefficients and perforation skin coefficients are obtained; the perforation skin coefficient parallel data set comprises the following mapping data: a perforation skin coefficient and a perforation skin coefficient mapping value;

mapping the perforation leakage radius and the perforation leakage radius to form a parallel data set; the perforation discharge radius mapping parallel data set comprises a perforation discharge radius and a perforation discharge radius mapping value;

the perforation opening and closing state and the perforation opening and closing state are in parallel data set; the parallel data set of perforation opening and closing states comprises the following mapping data: a perforation on-off state and a perforation on-off state mapping value;

the perforation direction and the perforation direction are in parallel data set; the perforation orientation parallel data set includes the following mapping data: and (4) a perforation position and perforation position mapping value.

In an embodiment of the present invention, mapping DATA entitled "COMPLETION _ DATA" gives another way to define well perforation information. That is, the second set of perforation information mapping data for the production well includes mapping data: mapping data named "IW" gives the number of all perforation grids in the X direction; similarly, the mapping data named as 'JW' gives the serial numbers of all perforation grids in the Y direction; mapping data named L gives the serial numbers of all perforation grids in the Z direction; the mapping data named "RADW" gives the borehole radius at all perforations; mapping data named as "SKIN" gives the SKIN coefficients at all the perforations; the mapping data named as 'RADB' gives the leakage radius at all the perforations, and when the value of the leakage radius is-9999.9999, the leakage radius needs to be calculated according to the grid size by using a correlation method in a PEACEMAN formula; mapping data named "OPENED" gives whether all perforations are open or closed; the mapping data named "PERFORD" gives the orientation at all the perforations, which is one of the three values "X", "Y" and "Z".

The values of the mapping data contained in all the well perforation data are parallel data sets, and one data corresponds to one perforation grid. Namely, the X-direction numbered parallel data set of the perforation grids comprises the following mapping data: mapping values of the X-direction serial numbers of the perforation grids and the X-direction serial numbers of the perforation grids; the perforation grid Y-direction serial number parallel data set comprises the following mapping data: mapping values of the serial numbers of the perforation grids in the Y direction and the serial numbers of the perforation grids in the Y direction; and the perforation grid Z-direction serial number parallel data set comprises the following mapping data: and mapping values of the perforation grid Z-direction serial numbers and the perforation grid Z-direction serial numbers. And the perforation borehole radius parallel data set comprises the following mapping data: the radius of the perforating well hole and the radius mapping value of the perforating well hole; the parallel data set of the perforation skin coefficients comprises the following mapping data: a perforation skin coefficient and a perforation skin coefficient mapping value; the perforation leakage radius mapping parallel data set comprises a perforation leakage radius and a perforation leakage radius mapping value; the parallel data set of perforation opening and closing states comprises the following mapping data: a perforation on-off state and a perforation on-off state mapping value; the perforation azimuth coordinated data set includes the following mapping data: perforation orientation and perforation orientation mapping values, and the like.

FIG. 9 is a schematic diagram of well control data of a production well in a model framework of numerical reservoir simulation input data provided by an embodiment of the present invention, and for convenience of description, only the portions relevant to the embodiment of the present invention are shown, and detailed below:

as shown in fig. 9, to improve the accuracy of the producer well control condition mapping data set in the reservoir numerical simulation input data, the producer well control condition mapping data set includes one or more of the following mapping data:

the production well control condition starting date and the production well control condition starting date mapping value;

the mapping value of the name of the well control condition well of the production well and the name of the well control condition well of the production well;

mapping values of the maximum oil production amount of the production well and the maximum oil production amount of the production well;

mapping values of the maximum gas production rate of the production well and the maximum gas production rate of the production well;

mapping values of the maximum water yield of the production well and the maximum water yield of the production well;

mapping values of the maximum liquid production amount of the production well and the maximum liquid production amount of the production well;

the minimum bottom hole pressure flow of the production well and the minimum bottom hole pressure flow mapping value of the production well;

the maximum bottom hole pressure flow of the production well and the maximum bottom hole pressure flow mapping value of the production well;

mapping values of the minimum oil production of the production well and the minimum oil production of the production well;

the minimum gas production rate of the production well and the minimum gas production rate mapping value of the production well;

mapping values of the minimum water yield of the production well and the minimum water yield of the production well;

and mapping the minimum liquid production amount of the production well and the minimum liquid production amount of the production well.

In an embodiment of the present invention, as shown in fig. 9, the set of production well control condition mapping data (i.e., well to surface facility data values) further includes mapping data: mapping data named "TIME" is used to define the date on which the well control condition begins; the mapping data named "WELL" is used for defining the name of a production WELL corresponding to the WELL control condition; the mapping data named "QOSMAX" is used to define the maximum oil production of the well, and may be similarly "QGSMAX", "QWSMAX", or "QLSMAX", which respectively represent the maximum gas production, the maximum water production, and the maximum liquid production; mapping data named "BHPMIN" is used to define the minimum bottom hole flow pressure for the well; mapping data named "BHPMAX" is used to define the maximum bottom hole flow pressure for the well.

In the embodiment of the present invention, mapping data such as "QOSMIN", "QGSMIN", "QWSMIN", "QLS MIN" may be introduced to define the minimum oil production, the minimum gas production, the minimum water production, and the minimum liquid production.

In one embodiment of the invention, to improve the accuracy of the simulated control map data set in the reservoir numerical simulation input data, the simulated control map data set includes one or more of the following map data:

a simulation start date and a simulation start date mapping value;

a simulation end date and a simulation end date mapping value;

the simulation days and the simulation days mapping value;

the simulation time step control parameter and the simulation time step control parameter are in parallel data set; the simulation time step control parameter parallel data set comprises the following mapping data: the simulation time step control parameter and the simulation time step control parameter mapping data set;

a Newton iteration convergence control parameter and a Newton iteration convergence control parameter mapping data set;

parallel data sets of the control parameters of the linear solver and the control parameters of the linear solver are obtained; the linear solver control parameter parallel data set comprises the following mapping data: and mapping the data set by the control parameters of the time-period linear solver and the control parameters of the time-period linear solver.

In the embodiment of the present invention, the data value of the analog control is an analog control mapping data set, which is used to provide analog control information, and includes: starting date, simulation days, time step control parameters, linear solver parameters and the like. The set of analog control mapping data includes the following mapping data: the mapping data named "START" gives the simulation START time; the mapping data named "SIMDAYS" gives the number of days of simulation. In addition, the definition of simulation days may also be given by mapping data named "ENDDATE".

FIG. 10 is a schematic diagram of time-step control parameters in a model framework of reservoir numerical simulation input data provided by an embodiment of the present invention, and for convenience of description, only the parts related to the embodiment of the present invention are shown, which are detailed as follows:

as shown in fig. 10, the simulation control mapping data set further includes the following mapping data: the mapping data named 'TUNING' gives a time step control parameter, the data value of the time step control parameter is a parallel data set of the simulation time step control parameter, and one data in the set corresponds to the time step control parameter in a time period. Namely, the simulation time step control parameter parallel data set comprises the following mapping data: the simulation time step control parameter and the simulation time step control parameter map a data set.

In the embodiment of the present invention, as shown in fig. 10, the simulation control mapping data set further includes the following mapping data: the mapping data named as "CONVERGE" is used for defining Newton iteration convergence control parameters, and the data values of the mapping data are Newton iteration convergence control parameter mapping data sets.

FIG. 11 is a schematic diagram of control parameters of a linear solver input data model framework for reservoir numerical simulation according to an embodiment of the present invention, and for convenience of description, only the parts related to the embodiment of the present invention are shown, which is detailed as follows:

as shown in fig. 11, in the embodiment of the present invention, the simulation control mapping data set further includes the following mapping data: the linear solver control parameters are given by mapping data named as 'LINEARSOLVER', the data values of the linear solver control parameters are parallel data sets of the linear solver control parameters, and one data in the sets corresponds to the solver control parameters in a time period. Further, the solver control parameters are defined as a set of mapping data. Namely, the linear solver control parameter parallel data set comprises the following mapping data: and mapping the data set by the time-period linear solver control parameters and the time-period linear solver control parameters.

In one embodiment of the invention, to improve the accuracy of the simulated time-step control parameter mapping data set in the reservoir numerical simulation input data, the simulated time-step control parameter mapping data set comprises one or more of the following mapping data:

simulating effective starting time of the time step control parameter and a mapping value of the effective starting time of the time step control parameter;

simulating a time step control parameter automatic time step and a simulated time step control parameter automatic time step mapping value;

the simulation time step controls the maximum time step of the parameter and the maximum time step mapping value of the parameter;

the simulation time step controls the minimum time step of the parameter and the mapping value of the minimum time step of the parameter;

the maximum Newton iteration number of the simulation time step control parameter and the maximum Newton iteration number mapping value of the simulation time step control parameter are obtained;

the minimum Newton iteration number of the control parameter of the simulation time step and the minimum Newton iteration number mapping value of the control parameter of the simulation time step;

simulating a maximum pressure change value in the time step length control parameter automatic time step length and a maximum pressure change value long mapping value in the time step length control parameter;

simulating a maximum temperature change value in the time step length control parameter automatic time step length and a maximum temperature change value long mapping value in the time step length control parameter;

simulating a maximum saturation change value in the time step automatic time step of the time step control parameter and a maximum saturation change value long mapping value in the time step automatic time step control parameter;

simulating a maximum mole fraction change value in the time step of the time step control parameter automatic time step and a maximum mole fraction change value long mapping value in the time step control parameter;

the simulation time step controls the parameter time step increase coefficient and the simulation time step controls the parameter increase coefficient long mapping value;

the simulation time step control parameter is a time step shortening coefficient and a simulation time step control parameter shortening coefficient long mapping value.

In the embodiment of the present invention, as shown in fig. 10, the time step control parameter is defined as a set of mapping data. Namely, the simulation time step control parameter mapping data set comprises the following mapping data: mapping data named 'TIME' is used for defining effective starting TIME of the step size control parameter; the three mapping data named AUTO, MAX and MIN give automatic, maximum and minimum time steps; the mapping data named "NEWTMX" and "NEWTMN" gives the maximum and minimum Newton iteration numbers; the mapping data named as 'TRGDDP', 'TRGDDT', 'TRGDDS', 'TRGDDX' respectively give the maximum pressure, the maximum temperature, the maximum saturation and the maximum mole fraction change values allowed in the automatic time step adjustment process; the mapping data of "TRGTSF" gives a coefficient for increasing or decreasing a time step.

In an embodiment of the invention, in order to improve the accuracy of the newton's iteration convergence control parameter mapping data set in the reservoir numerical simulation input data, the newton's iteration convergence control parameter mapping data set includes one or more of the following mapping data:

the Newton iteration mass equation relative error and the Newton iteration mass equation relative error mapping value;

the Newton iteration energy equation relative error and the Newton iteration energy equation relative error mapping value;

newton iteration fugacity equation relative error and Newton iteration fugacity equation relative error mapping value;

and the Newton iteration well equation relative error mapping value.

In an embodiment of the present invention, the simulation control mapping data set further includes the following mapping data: the mapping data named "convert E" is used to define newton iteration convergence control parameters, and the data values of the mapping data are newton iteration convergence control parameter mapping data sets. The newtonian iteration convergence control parameter mapping data set includes the following mapping data: the mapping data named "RELMBE", "RELEBE", "RELPBE", "RELLEEE" give the relative errors allowed by the mass equation, the energy equation, the fugacity equation, and the well equation in Newton's iteration, respectively.

In an embodiment of the present invention, in order to improve the accuracy of the time-segment linear solver control parameter mapping data set in the reservoir numerical simulation input data, the time-segment linear solver control parameter mapping data set includes one or more of the following mapping data:

mapping values of the effective starting time of the control parameter of the linear solver and the effective starting time of the control parameter of the linear solver;

solving a linear solver solution method and solving a linear solver solution method mapping value;

the linear solver preprocessing method and the linear solver preprocessing method map values;

linear solver convergence parameters and linear solver convergence parameter mapping values;

the maximum allowed iteration number of the linear solver and the maximum allowed iteration number mapping value of the linear solver are obtained;

and the linear solver generalized minimum-remainder restart number mapping value.

In the embodiment of the present invention, as shown in fig. 11, the time period linear solver control parameter mapping data set includes the following mapping data: mapping data named as 'TIME' is used for defining effective starting TIME of control parameters of the solver; mapping data named as 'METHOD' is used for defining a solver METHOD, the value range of the METHOD depends on functions of a simulator, and the value of the embodiment is 'FGEMRES', which indicates that a flexible generalized minimum margin METHOD is adopted; the mapping data named as preconnectioner is used for defining a solver preprocessing method, the selection of preprocessing has an important influence on the solving efficiency of the simulator, the value range depends on the functions of the simulator, and the value of BILU in the embodiment indicates that incomplete triangular decomposition based on blocks is adopted; mapping data named "TOL" is used to define solver convergence parameters; the mapping data named "MAXITS" is used to define the maximum number of iterations allowed by the solver; mapping data named "RESTARTNUM" is used to define the number of restarts in the generalized minimum margin method.

In summary, in the embodiment of the present invention, the reservoir numerical simulation input data model framework includes one or more data of four structure types, namely, parallel data, mapping data, parallel data set, and mapping data set: the method comprises the steps of separating a plurality of data in parallel data through parallel labels corresponding to the parallel data, separating mapping data names and mapping data values in mapping data through mapping labels corresponding to the mapping data, identifying parallel data ranges in parallel data sets through parallel set labels corresponding to the parallel data sets, and identifying mapping data ranges in mapping data sets through mapping set labels corresponding to the mapping data sets; wherein the character string of the data is identified by the character string tag. According to the embodiment of the invention, the numerical reservoir simulation input data is represented by four structure types of parallel data, mapping data, a parallel data set, a mapping data set and the like, a general numerical reservoir simulation input data model which has the advantages of light weight, independence on development language, wide compatibility, suitability for oil reservoir simulation software cloud development application, convenience in exchange and sharing and the like is established, and the compatibility and the universality of the numerical reservoir simulation input data model are improved.

As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.

The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

The above-mentioned embodiments are intended to illustrate the objects, technical solutions and advantages of the present invention in further detail, and it should be understood that the above-mentioned embodiments are only exemplary embodiments of the present invention, and are not intended to limit the scope of the present invention, and any modifications, equivalent substitutions, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.

Claims (28)

1. A reservoir numerical simulation input data model framework comprising one or more of the following structure types:

parallel data, mapping data, a parallel data set and a mapping data set;

the method comprises the steps of separating a plurality of data in parallel data through parallel labels corresponding to the parallel data, separating mapping data names and mapping data values in mapping data through mapping labels corresponding to the mapping data, identifying parallel data ranges in parallel data sets through parallel set labels corresponding to the parallel data sets, and identifying mapping data ranges in mapping data sets through mapping set labels corresponding to the mapping data sets;

wherein the character string of the data is identified by the character string tag.

2. The reservoir numerical simulation input data model framework of claim 1,

the parallel label corresponding to the parallel data comprises a comma;

the mapping label corresponding to the mapping data comprises a colon;

the parallel set labels corresponding to the parallel data sets comprise square brackets;

the mapping set tag corresponding to the mapping data set includes a brace.

3. The reservoir numerical simulation input data model framework of claim 1, wherein data for each structure type is hierarchically nested with data for one or more of the other three structure types.

4. The reservoir numerical simulation input data model framework of claim 1, wherein the reservoir numerical simulation input data model framework comprises one or more of the following four mapping data:

the example description and the example description map a data set;

the oil reservoir characteristics and the oil reservoir characteristics are integrated in parallel;

a well and ground facility and a well and ground facility mapping data set;

analog control and analog control mapping data sets;

the method comprises the steps of obtaining an oil deposit numerical simulation input data, obtaining an operational example, obtaining an oil deposit numerical simulation input data, obtaining an oil deposit characteristic of the oil deposit numerical simulation input data, obtaining dynamic data of the oil deposit numerical simulation input data by a well and a ground facility, and obtaining simulation control information of the oil deposit numerical simulation by simulation control.

5. The reservoir numerical simulation input data model framework of claim 4, wherein the set of algorithm description mapping data comprises one or more of the following mapping data:

example names and example name mapping values;

detailed description and detailed description of the mapped values;

adopting a unit system and adopting a unit system mapping value;

a date format and date format mapping value;

the method comprises the steps of obtaining numerical reservoir simulation input data, obtaining a unit system, obtaining a date format, and obtaining a unit system, wherein the unit system is used for reflecting the unit system adopted by variables in the numerical reservoir simulation input data, and the date format is used for reflecting the date format adopted by the numerical reservoir simulation input data.

6. The reservoir numerical simulation input data model framework of claim 4, wherein the reservoir characteristic parallel data set comprises one or more of the following mapping data:

mapping data sets of the geological grid model and the geological grid model;

a fluid model and a fluid model mapping data set;

a rock-fluid model and rock-fluid model mapping data set;

a rock model and rock model mapping data set;

the balance partition model and the balance partition model map data set;

the geological grid model reflects the oil reservoir structural characteristics and the oil reservoir attribute characteristics of the oil reservoir numerical simulation, the fluid model reflects the fluid physical properties of the oil reservoir numerical simulation, the rock-fluid model reflects the phase permeability model or the saturation function of the oil reservoir numerical simulation, the rock model reflects the reservoir rock properties of the oil reservoir numerical simulation, and the balance partition model reflects the balance partition information of the oil reservoir numerical simulation.

7. The reservoir numerical simulation input data model framework of claim 6, wherein the geological grid model mapping data set comprises one or more of the following mapping data:

mapping values of the geological grid type and the geological grid type;

the geological grid model dimension and the geological grid model dimension are in parallel data set; the geological grid model dimension parallel data set comprises the following mapping data: mapping values of the geological grid model dimension and the geological grid model dimension;

the block center grid size and the block center grid size are parallel data sets;

mapping a data set by the geological grid permeability tensor and the geological grid permeability tensor; the geological grid permeability tensor mapping data set comprises mapping values of a geological grid permeability tensor component and a geological grid permeability tensor component;

and mapping the grid top surface center depth to the grid top surface center depth.

8. The reservoir numerical simulation input data model framework of claim 7,

the geological grid type and geological grid type mapping value comprises a corner grid name and a corner grid coordinate; and/or

The block center grid size parallel data set as the external link file includes mapping data: an external link file name and an external link file URL address.

9. The reservoir numerical simulation input data model framework of claim 6, wherein the fluid model mapping data set comprises the following mapping data:

a fluid type to fluid type map value; when the fluid type is a black oil fluid, the fluid type to fluid type map value includes the following map data: black oil fluid to black oil fluid map values, and black oil fluid phase to black oil fluid phase juxtaposition data sets.

10. The reservoir numerical simulation input data model framework of claim 9, wherein the set of black oil fluid phase parallel data comprises one or more of the following mapping data:

black oil fluid phase name and black oil fluid phase name mapping values;

a black oil fluid phase standard condition density to black oil fluid phase standard condition density map value;

the black oil fluid PVT table maps values with the black oil fluid PVT table.

11. The reservoir numerical simulation input data model framework of claim 6, wherein the fluid model mapping data set comprises one or more of the following mapping data:

a fluid type to fluid type map value; when the fluid type is a component fluid, the fluid type to fluid type map value includes the following map data:

component fluid to component fluid map values;

a component fluid phase to component fluid phase mapping data set; the set of component fluid phase mapping data includes the following mapping data: a component fluid phase name to component fluid phase name mapping value, a hydrocarbon component fluid phase to hydrocarbon component fluid phase mapping value;

mapping data sets of fluid component information and fluid component information; the fluid composition information mapping data set includes the following mapping data: the method comprises the following steps that a parallel data set of water component information and a parallel data set of hydrocarbon component information and hydrocarbon component information are obtained;

a component fluid viscosity model parameter and component fluid viscosity model parameter mapping data set; the component fluid viscosity model parametric mapping data set includes the following mapping data: component fluid viscosity model and component fluid viscosity model mapping values, component fluid viscosity model parameters and component fluid viscosity model parameter mapping values;

a component fluid flash method parameter and a component fluid flash method parameter mapping data set; the component fluid flash method parameter mapping data set comprises the following mapping data: a component fluid flash method and component fluid flash method mapping value, a component fluid flash method parameter and component fluid flash method parameter mapping value;

the fluid phase composition relationship maps values with the fluid phase composition relationship.

12. The reservoir numerical simulation input data model framework of claim 11, wherein the parallel data set of water component information comprises one or more of the following mapping data:

mapping values of water component names and water component names;

mapping values of water component molecular weight and water component molecular weight;

mapping values of water component charge numbers and water component charge numbers;

and water component ion intensity mapping values.

13. The reservoir numerical simulation input data model framework of claim 11, wherein the parallel data set of hydrocarbon composition information comprises one or more of the following mapping data:

a hydrocarbon component name to hydrocarbon component name mapping value;

a hydrocarbon component molecular weight to hydrocarbon component molecular weight map value;

a hydrocarbon component critical pressure to hydrocarbon component critical pressure map value;

a hydrocarbon component critical temperature to hydrocarbon component critical temperature map value;

a hydrocarbon component critical volume to hydrocarbon component critical volume map value;

a hydrocarbon component volume adjustment parameter to hydrocarbon component volume adjustment parameter map value;

a hydrocarbon component deviation coefficient and hydrocarbon component deviation coefficient map value;

and mapping values of the two-dimensional interaction coefficients between different hydrocarbon components and the two-dimensional interaction coefficients between different hydrocarbon components.

14. The reservoir numerical simulation input data model framework of claim 6, wherein the set of rock-fluid model mapping data comprises one or more of the following mapping data:

rock-fluid permeability and rock-fluid permeability are juxtaposed to a data set; the rock-fluid permeability parallel data set comprises the following mapping data: the rock-fluid phase permeability saturation function and rock-fluid phase permeability saturation function mapping data set comprises a saturation function table name and a saturation function table mapping data set;

mapping values of the three-phase infiltration model and the three-phase infiltration model.

15. The reservoir numerical simulation input data model framework of claim 14, wherein the set of saturation function table mapping data comprises one or more of the following mapping data:

saturation and saturation mapping values;

a first relative permeability to a first relative permeability map;

a second relative permeability and a second relative permeability map value;

and a capillary pressure and capillary pressure mapping value;

the saturation function table mapping data set further comprises one or more of the following mapping data:

the curve type of the phase seepage data table and the curve type mapping value of the phase seepage data table;

the wetting hysteresis model maps values with the wetting hysteresis model.

16. The reservoir numerical simulation input data model framework of claim 6, wherein the set of rock model mapping data comprises the following mapping data:

mapping data sets of rock compression coefficients under different reference pressures and rock compression coefficients under different reference pressures; the set of rock compression coefficient mapping data at different reference pressures comprises the following mapping data: different reference pressures and different reference pressure mapping values, rock compression coefficients and rock compression coefficient mapping values.

17. The reservoir numerical simulation input data model framework of claim 6, wherein the balanced zonal model mapping data set comprises one or more of the following mapping data:

a grid initial temperature and a grid initial temperature mapping value;

and mapping the data set by the initial oil deposit information and the initial oil deposit information.

18. The reservoir numerical simulation input data model framework of claim 17, wherein the reservoir initial information mapping data set comprises one or more of the following mapping data:

mapping values of the balance partition datum plane and the balance partition datum plane;

the pressure of the reference surface of the balance subarea and the pressure mapping value of the reference surface of the balance subarea;

the oil-water interface of the balance subarea and the oil-water interface of the balance subarea are mapped;

the capillary force at the oil-water interface of the balance subarea and the capillary force mapping value at the oil-water interface of the balance subarea are obtained;

the balance subarea oil-gas interface and the balance subarea oil-gas interface mapping value;

the capillary force at the oil-gas interface of the balance subarea and the mapping value of the capillary force at the oil-gas interface of the balance subarea are obtained;

an irreducible water saturation to irreducible water saturation mapping value, a residual oil saturation to residual oil saturation mapping value;

a residual gas saturation to residual gas saturation map value.

19. The reservoir numerical simulation input data model framework of claim 18, wherein the balanced compartmental model mapping data set further comprises the following mapping data when the fluid type is a component fluid:

the oil reservoir initial component composition and the oil reservoir initial component composition form a parallel data set; the parallel data set formed by the initial components of the oil reservoirs comprises the initial components of the oil reservoirs at different depths and mapping values formed by the initial components of the oil reservoirs at different depths.

20. The reservoir numerical simulation input data model framework of claim 4, wherein the well-to-surface facility mapping data set comprises one or more of the following mapping data:

an injection fluid and an injection fluid are parallel data sets; the injection fluid juxtaposition data set includes the following mapping data: an injection fluid type to injection fluid type mapping data set, the injection fluid type mapping data set comprising the following mapping data: an injection fluid name and injection fluid name mapping value, an injection fluid component composition and an injection fluid component composition mapping value;

parallel data sets of production wells and production wells;

parallel data sets of the production well control information and the production well control information are obtained; the production well control information parallel data set comprises the following mapping data: and mapping data sets of the well control conditions of the production wells and the well control conditions of the production wells.

21. The reservoir numerical simulation input data model framework of claim 20, wherein the producer parallel data set comprises the following mapping data: a producer-to-producer mapping data set; the set of producer map data includes one or more of the following map data:

the production well completion date and the production well completion date mapping value;

mapping values of the production well names and the production well names;

mapping values of the production well group and the production well group;

mapping values of the production well oil reservoir names and the production well oil reservoir names;

producing well aging and producing well aging mapping values;

a producer type to producer type mapping value;

the production well pressure reference surface and the production well pressure reference surface type mapping value;

mapping values of the grid positions of the production wells and the grid positions of the production wells;

mapping data sets of first perforation information of the production well and first perforation information of the production well;

and mapping the second perforation information of the production well with the second perforation information of the production well to a data set.

22. The reservoir numerical simulation input data model framework of claim 21, wherein the first set of production well perforation information mapping data comprises one or more of the following mapping data:

the perforation grid global serial number and the perforation grid global serial number are in parallel data set; the perforation grid global numbering parallel data set comprises the following mapping data: mapping values of the perforation grid global numbers and the perforation grid global numbers;

the perforation well index and the perforation well index are in parallel data set; the perforation well index parallel data set comprises the following mapping data: and the perforated well index mapping value.

23. The reservoir numerical simulation input data model framework of claim 22, wherein the second set of production well perforation information mapping data comprises one or more of the following mapping data:

the serial numbers of the perforation grids in the X direction and the serial numbers of the perforation grids in the X direction are in parallel data set; the perforation grid X-direction serial number parallel data set comprises the following mapping data: mapping values of the serial numbers of the perforation grids in the X direction and the serial numbers of the perforation grids in the X direction;

the serial numbers of the perforation grids in the Y direction are in parallel with the serial numbers of the perforation grids in the Y direction; the perforation grid Y-direction serial number parallel data set comprises the following mapping data: mapping values of the serial numbers of the perforation grids in the Y direction and the serial numbers of the perforation grids in the Y direction;

the serial numbers of the perforation grids in the Z direction and the serial numbers of the perforation grids in the Z direction are in parallel data set; the perforation grid Z-direction serial number parallel data set comprises the following mapping data: mapping values of the numbers of the perforation grids in the Z direction and the numbers of the perforation grids in the Z direction;

the radius of the perforation well hole and the radius of the perforation well hole are in parallel data set; the parallel data set of the perforation well hole radius comprises the following mapping data: the radius of the perforating well hole and the radius mapping value of the perforating well hole;

parallel data sets of the perforation skin coefficient and the perforation skin coefficient are obtained; the parallel data set of the perforation skin coefficients comprises the following mapping data: a perforation skin coefficient and a perforation skin coefficient mapping value;

mapping the perforation leakage radius and the perforation leakage radius to form a parallel data set; the perforation leakage radius mapping parallel data set comprises a perforation leakage radius and a perforation leakage radius mapping value;

the perforation opening and closing state and the perforation opening and closing state are in parallel data set; the parallel data set of perforation opening and closing states comprises the following mapping data: a perforation on-off state and a perforation on-off state mapping value;

the perforation direction and the perforation direction are in parallel data set; the perforation orientation parallel data set includes the following mapping data: and mapping the perforation orientation and the perforation orientation.

24. The reservoir numerical simulation input data model framework of claim 20, wherein the set of production well control condition mapping data comprises one or more of the following mapping data:

the well control condition starting date of the production well and the well control condition starting date mapping value of the production well are obtained;

the well control condition well name of the production well and the well control condition well name mapping value of the production well;

mapping values of the maximum oil production amount of the production well and the maximum oil production amount of the production well;

mapping values of the maximum gas production rate of the production well and the maximum gas production rate of the production well;

mapping values of the maximum water yield of the production well and the maximum water yield of the production well;

mapping values of the maximum liquid production amount of the production well and the maximum liquid production amount of the production well;

the minimum bottom hole pressure flow of the production well and the minimum bottom hole pressure flow mapping value of the production well;

the maximum bottom hole pressure flow of the production well and the maximum bottom hole pressure flow mapping value of the production well;

mapping values of the minimum oil production of the production well and the minimum oil production of the production well;

a minimum gas production rate of the production well and a minimum gas production rate mapping value of the production well;

mapping values of the minimum water yield of the production well and the minimum water yield of the production well;

and mapping the minimum liquid production amount of the production well and the minimum liquid production amount of the production well.

25. The reservoir numerical simulation input data model framework of claim 4, wherein the simulation control mapping data set comprises one or more of the following mapping data:

simulating a starting date and a simulated starting date mapping value;

a simulation end date and a simulation end date mapping value;

the simulation days and the simulation days mapping value;

the simulation time step control parameter and the simulation time step control parameter are in parallel data set; the simulation time step control parameter parallel data set comprises the following mapping data: the simulation time step control parameter and the simulation time step control parameter mapping data set;

a Newton iteration convergence control parameter and a Newton iteration convergence control parameter mapping data set;

the linear solver control parameters and the linear solver control parameters are collected in parallel; the linear solver control parameter parallel data set comprises the following mapping data: and mapping the data set by the control parameters of the time-period linear solver and the control parameters of the time-period linear solver.

26. The reservoir numerical simulation input data model framework of claim 25, wherein the set of simulation time-step control parameter mapping data comprises one or more of the following mapping data:

simulating effective starting time of the time step control parameter and a mapping value of the effective starting time of the time step control parameter;

the simulation time step control parameter automatic time step and the simulation time step control parameter automatic time step mapping value;

the simulation time step controls the maximum time step of the parameter and the maximum time step mapping value of the parameter;

the simulation time step controls the minimum time step of the parameter and the mapping value of the minimum time step of the parameter;

the maximum Newton iteration number of the control parameter of the simulation time step and the maximum Newton iteration number length mapping value of the control parameter of the simulation time step;

the minimum Newton iteration number of the control parameter of the simulation time step and the minimum Newton iteration number mapping value of the control parameter of the simulation time step;

simulating a maximum pressure change value in the time step automatic time step of the time step control parameter and a maximum pressure change value long mapping value in the time step automatic time step control parameter;

simulating a maximum temperature change value in the time step length control parameter automatic time step length and a maximum temperature change value long mapping value in the time step length control parameter;

simulating a maximum saturation change value in the time step length control parameter automatic time step length and a maximum saturation change value long mapping value in the time step length control parameter;

simulating a maximum mole fraction change value in the time step of the time step control parameter automatic time step and a maximum mole fraction change value long mapping value in the time step control parameter;

the simulation time step controls the parameter time step increase coefficient and the simulation time step controls the parameter increase coefficient long mapping value;

the simulation time step control parameter time step shortening coefficient and the simulation time step control parameter shortening coefficient long mapping value.

27. The reservoir numerical simulation input data model framework of claim 25, wherein the set of newtonian iterative convergence control parameter mapping data comprises one or more of the following mapping data:

newton iteration mass equation relative error and Newton iteration mass equation relative error mapping value;

the Newton iteration energy equation relative error and the Newton iteration energy equation relative error mapping value;

newton iteration fugacity equation relative error and Newton iteration fugacity equation relative error mapping value;

and the Newton iteration well equation relative error mapping value.

28. The reservoir numerical simulation input data model framework of claim 25, wherein the set of time period linear solver control parameter mapping data comprises one or more of the following mapping data:

mapping values of the effective starting time of the control parameters of the linear solver and the effective starting time of the control parameters of the linear solver;

solving a linear solver solution method and solving a linear solver solution method mapping value;

the linear solver preprocessing method and the linear solver preprocessing method map values;

the convergence parameter of the linear solver and the convergence parameter mapping value of the linear solver;

the maximum allowable iteration number of the linear solver and the maximum allowable iteration number of the linear solver are mapped;

and (3) mapping values of the generalized minimum-margin-method restart number of the linear solver and the generalized minimum-margin-method restart number of the linear solver.

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