CN111062138A - Method and system for predicting natural fracture distribution pattern of compact low-permeability reservoir - Google Patents

Method and system for predicting natural fracture distribution pattern of compact low-permeability reservoir Download PDF

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CN111062138A
CN111062138A CN201911337712.1A CN201911337712A CN111062138A CN 111062138 A CN111062138 A CN 111062138A CN 201911337712 A CN201911337712 A CN 201911337712A CN 111062138 A CN111062138 A CN 111062138A
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distribution pattern
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natural fracture
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CN111062138B (en
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吕文雅
吕鹏
惠晨
管聪
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China University of Petroleum Beijing
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Abstract

The invention provides a method and a system for predicting a natural fracture distribution pattern of a compact low-permeability reservoir, wherein the method comprises the following steps: establishing a conceptual model of a natural fracture distribution pattern; carrying out fine dissection on the reservoir structure by using the core data and the logging data to obtain the distribution data of the interlayer interface; identifying and acquiring distribution data of local structures of faults and folds according to the interpretation of the seismic data; identifying the natural cracks according to the rock core data and the logging data, and analyzing to obtain the mechanical property and thickness of the interlayer interface relative to the rock to limit the longitudinal extension range of the cracks; and (4) obtaining a prediction result of the natural fracture interwell distribution pattern by using the natural fracture distribution pattern conceptual model as macroscopic constraint. The method and the system can well predict the position of the natural fracture, can well depict the distribution pattern of the natural fracture, and provide geological basis for the oil and gas exploration and development of the compact low-permeability reservoir, so that the risk cost of the oil and gas exploration and development of the compact low-permeability reservoir is reduced.

Description

Method and system for predicting natural fracture distribution pattern of compact low-permeability reservoir
Technical Field
The invention relates to the field of reservoir geological research, in particular to a method and a system for predicting a natural fracture distribution pattern of a compact low-permeability reservoir.
Background
The oil and gas resource amount of the compact low-permeability reservoir is huge, but the physical property of the reservoir matrix is poor, the heterogeneity is strong, natural cracks are generally developed, and the exploration and development difficulty is large. The natural fractures are important storage spaces and seepage channels of the compact low-permeability reservoir, influence the oil and gas accumulation, enrichment, single-well productivity and development effects of the reservoir, and can provide geological basis for exploration and development of the compact low-permeability reservoir by knowing the distribution rule of the natural fractures.
The prediction of natural fracture distribution rules is a difficult point and a hot point problem in reservoir fracture research, the current prediction methods for the natural fracture distribution rules at home and abroad mainly comprise a reservoir geomechanical method and a prediction method based on pre-stack and post-stack seismic attributes, the prediction methods mainly predict development zones of natural fractures, and clearly determine where fractures exist, where fractures do not exist and relative strength of fracture development, and the methods are difficult to predict for distribution patterns of the natural fractures in a reservoir, so that the distribution rules of the natural fractures are difficult to finely describe.
Therefore, a technical scheme capable of accurately predicting the natural fracture distribution pattern of the tight and low-permeability reservoir is needed.
Disclosure of Invention
In order to solve the problems, the invention provides a method and a system for predicting the natural fracture distribution pattern of a compact low-permeability reservoir, which can predict the natural fracture distribution pattern in the reservoir and finely depict the natural fracture distribution. The method and the system aim at a compact low-permeability reservoir, natural fracture distribution pattern conceptual models of different configuration units and local structures built by similar outcrops on the earth surface are used as macroscopic constraints, and the distribution pattern of the natural fractures based on the reservoir configuration and the local structures is predicted according to the quantitative relation between the fracture spacing and the thickness of the rock mechanical layer and the range of limiting the longitudinal extension of the fractures by the interface relative rock mechanical properties and thicknesses of calcareous and argillaceous interlayers and the like on the basis of performing fine dissection of the reservoir configuration, quantitative characterization of natural fracture parameters and explanation of local structures such as faults and folds and the like on the basis of rock cores, well logging and seismic data, so that the distribution pattern of the natural fractures among wells is obtained, and a new way is provided for predicting the natural fracture distribution pattern of the compact low-permeability reservoir.
Specifically, in an embodiment of the present invention, a method for predicting a natural fracture distribution pattern of a tight low-permeability reservoir is provided, where the method includes:
acquiring geological profile measurement data, performing identification analysis according to the similar outcrop on the earth surface in the geological profile measurement data, and establishing a natural fracture distribution pattern conceptual model;
acquiring rock core data, well logging data and seismic data;
carrying out fine dissection on the reservoir structure by using the rock core data and the logging data to obtain the distribution data of the interlayer interface;
identifying and acquiring distribution data of local structures of faults and folds according to the interpretation of the seismic data;
identifying the natural fracture according to the rock core data and the logging data, and analyzing to obtain the mechanical property and thickness of the interlayer interface relative to the rock so as to limit the longitudinal extension range of the fracture;
and predicting the distribution pattern of the natural fractures based on different configuration units and local structures according to the distribution data of the interlayer interface, the distribution data of the local structure, the mechanical property and the thickness of the interlayer interface relative to the rock and the range of limiting the longitudinal extension of the fractures by using the conceptual model of the natural fracture distribution pattern as macroscopic constraint to obtain the prediction result of the natural fracture interwell distribution pattern.
In another embodiment of the present invention, a tight low-permeability reservoir natural fracture distribution pattern prediction system is further provided, which includes:
the model building module is used for obtaining geological profile measurement data, carrying out recognition analysis according to the similar outcrop on the earth surface in the geological profile measurement data and building a natural fracture distribution pattern conceptual model;
the data acquisition module is used for acquiring rock core data, logging data and seismic data;
the configuration dissection module is used for finely dissecting the reservoir configuration by using the rock core data and the logging data to obtain the distribution data of the interlayer interface;
the local structure identification module is used for identifying and acquiring distribution data of local structures of faults and folds according to the interpretation of the seismic data;
the natural fracture identification module is used for identifying the natural fracture according to the rock core data and the logging data and analyzing to obtain the mechanical property and thickness of the interlayer interface relative to the rock so as to limit the longitudinal extension range of the fracture;
and the distribution pattern prediction module is used for predicting the distribution pattern of the natural fractures based on different configuration units and local structures according to the distribution data of the interlayer interface, the distribution data of the local structure, the mechanical property and the thickness of the interlayer interface relative to the rock and the range of limiting the longitudinal extension of the fractures by using the conceptual model of the natural fracture distribution pattern as macroscopic constraint, so as to obtain the prediction result of the natural fracture interwell distribution pattern.
In another embodiment of the present invention, a computer apparatus is also presented, which includes a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor implementing a tight low permeability reservoir natural fracture distribution pattern prediction method when executing the computer program.
In another embodiment of the present invention, a computer-readable storage medium is also presented, which stores a computer program for executing the method for predicting tight low-permeability reservoir natural fracture distribution pattern.
The method and the system can solve the problem of high difficulty in predicting the natural fracture interwell distribution pattern, can better predict the natural fracture development position and better depict the natural fracture distribution pattern aiming at the natural fracture commonly developed in the compact low-permeability reservoir, provide a way for clearing the natural fracture distribution pattern and fine depicting of the compact low-permeability reservoir, thereby providing geological basis for the exploration and development of the compact low-permeability reservoir, reducing the risk cost of the oil and gas exploration and development of the compact low-permeability reservoir, and can be widely applied to the natural fracture distribution pattern prediction of the fractured reservoir.
Drawings
FIG. 1 is a flow chart of a method for predicting a natural fracture distribution pattern of a tight low-permeability reservoir according to an embodiment of the invention.
FIG. 2 is a schematic diagram of a process for establishing a conceptual model of natural fracture distribution pattern according to an embodiment of the invention.
FIG. 3 is a schematic diagram of a process for predicting a natural fracture distribution pattern according to an embodiment of the present invention.
Fig. 4A and 4B are schematic diagrams of natural fracture distribution based on the internal configuration of the river sand according to an embodiment of the invention.
FIG. 5 is a schematic diagram of the architecture of a tight low permeability reservoir natural fracture distribution pattern prediction system according to an embodiment of the invention.
Fig. 6 is a schematic structural diagram of a computer device according to an embodiment of the present invention.
Detailed Description
The principles and spirit of the present invention will be described with reference to a number of exemplary embodiments. It is understood that these embodiments are given solely for the purpose of enabling those skilled in the art to better understand and to practice the invention, and are not intended to limit the scope of the invention in any way. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
As will be appreciated by one skilled in the art, embodiments of the present invention may be embodied as a system, apparatus, device, method, or computer program product. Accordingly, the present disclosure may be embodied in the form of: entirely hardware, entirely software (including firmware, resident software, micro-code, etc.), or a combination of hardware and software.
According to the embodiment of the invention, a method and a system for predicting the natural fracture distribution pattern of a compact low-permeability reservoir are provided.
The method and the system can predict the distribution pattern of the natural fractures based on the reservoir stratum configuration and the local structure by taking a natural fracture distribution pattern conceptual model of different configuration units and local structures built by similar outcrops on the earth surface as macro constraints on the basis of carrying out fine dissection of the reservoir stratum configuration, quantitative characterization of natural fracture parameters, fault interpretation of local structures such as folds and the like by using rock cores, well logging and seismic data and according to the quantitative relation between the fracture intervals and the thickness of the mechanical layer of rock and the range of limiting the longitudinal extension of the fractures by using the mechanical properties and the thickness of interfaces such as calcareous and argillaceous interlayers relative to the rock, thereby clearing the distribution pattern of the natural fractures among wells and providing a new way for predicting the distribution pattern of the natural fractures of the compact and low-permeability reservoir stratum.
By utilizing the method and the system, the position of the natural fracture can be well predicted, the distribution pattern of the natural fracture can be well described, and geological basis is provided for the oil and gas exploration and development of the compact low-permeability reservoir, so that the risk cost of the oil and gas exploration and development of the compact low-permeability reservoir is reduced.
The principles and spirit of the present invention are explained in detail below with reference to several representative embodiments of the invention.
FIG. 1 is a flow chart of a method for predicting a natural fracture distribution pattern of a tight low-permeability reservoir according to an embodiment of the invention. As shown in fig. 1, the method includes:
step S101, geological section measurement data are obtained, recognition analysis is carried out according to the similar outcrop on the earth surface in the geological section measurement data, and a natural fracture distribution pattern conceptual model is established.
Specifically, a specific process for establishing the conceptual model of the natural fracture distribution pattern may be as shown in fig. 2.
As shown in fig. 2, firstly, according to the similar outcrop of the earth surface, natural fracture identification, reservoir configuration identification and local structure identification are carried out;
analyzing the quantitative relation between the crack spacing and the rock mechanical layer thickness through natural crack identification and reservoir stratum configuration identification to obtain the mechanical property and thickness of the interlayer interface relative to the rock and the range of limiting the longitudinal extension of the crack, and determining the range of the mechanical property and thickness of the interlayer interface relative to the rock and limiting the longitudinal extension of the crack;
further, on the basis, local structure identification is carried out to obtain the distribution pattern of the natural cracks in different configuration units and the distribution pattern of the natural cracks associated with the local structures of the fault and the wrinkle, and a conceptual model of the natural crack distribution pattern of different configuration units and local structures is established.
After the conceptual model of the natural fracture distribution pattern is established, the conceptual model of the natural fracture distribution pattern can be used as a macroscopic constraint to predict the natural fracture distribution pattern, and a specific process can be referred to as shown in fig. 3. Referring to fig. 1 and 3, the natural fracture distribution pattern is predicted as follows:
step S102, obtaining rock core data, well logging data and seismic data.
And S103, performing fine dissection on the reservoir configuration by using the core data and the logging data to acquire distribution data of the interlayer interface.
And step S104, identifying and acquiring distribution data of local structures of faults and folds according to the interpretation of the seismic data.
Step S105, identifying the natural fracture according to the rock core data and the logging data to obtain a parameter distribution function (formula 1) of the trend, the inclination angle, the height and the density of the natural fracture and a quantitative relation (formula 2) between the fracture spacing and the thickness of the rock mechanical layer;
the natural fracture strike, dip, height and density parameter distribution functions are as follows:
Xi=f(xi); (1)
wherein, XiRepresenting a natural fracture strike, dip, height or density parameter distribution function;
xirepresenting natural fracture strike, dip, height or density parameters;
the quantitative relation between the crack spacing and the thickness of the rock mechanical layer is as follows:
S=f(h); (2)
wherein S represents a crack spacing;
h represents the thickness of the rock mechanical layer;
and determining the relationship between the mechanical properties and the thicknesses of the different interlayer interfaces relative to the rock and the longitudinal extension and termination of the limited crack according to the natural crack trend, the inclination angle, the height and the density parameter distribution function and the quantitative relationship between the crack spacing and the mechanical layer thickness of the rock, and obtaining the range of the mechanical properties and the thicknesses of the interlayer interfaces relative to the rock and the longitudinal extension of the limited crack.
And S106, predicting the distribution pattern of the natural fractures based on different configuration units and local structures according to the distribution data of the interlayer interface, the distribution data of the local structure, the mechanical property and the thickness of the interlayer interface relative to the rock and the range of limiting the longitudinal extension of the fractures by using the conceptual model of the natural fracture distribution pattern as macroscopic constraint, and obtaining the prediction result of the natural fracture interwell distribution pattern.
In the above steps, the interlayer interface is a calcareous interlayer interface, a muddy interlayer interface, or the like.
It should be noted that although the operations of the method of the present invention have been described in the above embodiments and the accompanying drawings in a particular order, this does not require or imply that these operations must be performed in this particular order, or that all of the operations shown must be performed, to achieve the desired results. Additionally or alternatively, certain steps may be omitted, multiple steps combined into one step execution, and/or one step broken down into multiple step executions.
For a clearer explanation of the method for predicting the natural fracture distribution pattern of the tight and low-permeability reservoir, a specific example is provided below, but it should be noted that the example is only for better illustration of the present invention and is not to be construed as an undue limitation on the present invention.
Taking a certain region of Ordos as an example, by adopting the method provided by the invention, the distribution mode of the natural fractures of the extended dense low-permeability reservoir in the certain region of the Ordos basin is predicted, and a natural fracture distribution mode based on the internal configuration of the river sand body is established (as shown in fig. 4A and 4B, due to the length of the stratum, the stratum is split into two pictures for displaying the contents in the graph for clarity, and the stratum in the middle of the two pictures is continuous).
The four wells shown in FIG. 4A and FIG. 4B are w22-072, w21-08, w20-083, w20-09 respectively; the illustration indicates the channel sand 401, the interlayer 402, the natural fracture 403, and the FIP (fracture development strength) 404, which are represented by different colors in the schematic diagram.
Firstly, combining with the step S101, selecting a similar outcrop on the earth surface of the area in the Erdos basin, observing the similar outcrop on the earth surface, wherein the area mainly develops high-angle tectonic cracks, is shallow water delta deposition, mainly develops diversion river channels, estuary dams, mat-shaped sands, diversion bay microfacies, faults, folds and other local tectonic non-developments.
Through actual measurement and observation of earth surface outcrops, the distribution patterns of natural cracks of different configuration units are established, the quantitative relation between the longitudinal extension range of the limited cracks and the quantitative relation between the crack spacing and the thickness of a rock mechanical layer by interfaces such as calcareous and argillaceous interlayers is established, and on the basis, a conceptual model suitable for the area and based on the natural crack distribution patterns of the different configuration units is established.
And then according to the steps S102-S106, based on the conceptual model of the natural fracture distribution pattern as a macroscopic constraint, predicting the natural fracture interwell distribution pattern.
And respectively dissecting the configuration of the area and identifying natural cracks according to the rock core and well logging information, finding out the microfacies and high-angle structure cracks of the main development diversion river channel in the area, analyzing and establishing the quantitative relation between the crack spacing and the thickness of the rock mechanical layer, and determining the range of the mechanical properties and the thickness of the rock relative to interfaces such as calcareous and argillaceous interlayers for limiting the longitudinal extension of the natural cracks.
On the basis, a conceptual model of a natural fracture distribution pattern established by a similar outcrop on the earth surface is used as a macroscopic constraint, a natural fracture distribution pattern based on the internal configuration of the river sand body (as shown in fig. 4A and 4B) is established according to the quantitative relation between the fracture spacing and the thickness of the rock mechanical layer and the range of limiting the longitudinal extension of the fracture by the interface such as a calcareous and argillaceous interlayer relative to the rock mechanical property and the thickness, and the natural fracture distribution pattern of the region is predicted.
As shown in FIGS. 4A and 4B, the single-well fracture interpretation is carried out on the four wells W22-072 to W20-09, the fracture has a good matching relationship with the river sand body, and the fracture is developed in the interior of the river sand body, particularly in the position of an added volume, and is not generally developed in the position of a mudstone interlayer. The interpretation result of the single fracture well is matched with the fracture profile distribution map determined by the method provided by the invention, so that the method can be used for accurately predicting the distribution pattern of the fractures among wells, and the prediction of the distribution pattern of the natural fractures among wells can be realized.
In one embodiment, the quantitative relationship between the fracture spacing and the thickness of the mechanical layer of the rock is generally a linear relationship, and there is a positive relationship.
Having described the method of an exemplary embodiment of the present invention, the tight low permeability reservoir natural fracture pattern prediction system of an exemplary embodiment of the present invention is next described with reference to FIG. 5.
The implementation of the system for predicting the natural fracture distribution pattern of the compact and low-permeability reservoir can be referred to the implementation of the method, and repeated details are not repeated. The term "module" or "unit" used hereinafter may be a combination of software and/or hardware that implements a predetermined function. Although the means described in the following embodiments may be implemented by software, an implementation in hardware or a combination of software and hardware is also possible and contemplated.
Based on the same inventive concept, the invention also provides a dense low-permeability reservoir natural fracture distribution pattern prediction system, as shown in fig. 5, the system comprises:
the model establishing module 510 is configured to obtain geological profile measurement data, perform recognition analysis according to the similar outcrop on the earth's surface in the geological profile measurement data, and establish a conceptual model of a natural fracture distribution pattern;
a data acquisition module 520, configured to acquire core data, logging data, and seismic data;
the configuration dissection module 530 is used for performing fine dissection on the reservoir configuration by using the rock core data and the logging data to acquire the distribution data of the interlayer interface;
the local structure identification module 540 is used for identifying and acquiring distribution data of local structures of faults and folds according to the interpretation of the seismic data;
the natural fracture identification module 550 is used for identifying the natural fracture according to the rock core data and the logging data, and analyzing to obtain the mechanical property and thickness of the interlayer interface relative to the rock so as to limit the longitudinal extension range of the fracture;
and the distribution pattern prediction module 560 is used for predicting the distribution pattern of the natural fractures based on different configuration units and local structures according to the distribution data of the interlayer interface, the distribution data of the local structure, the mechanical property and the thickness of the interlayer interface relative to the rock and the range of limiting the longitudinal extension of the fractures by using the conceptual model of the natural fracture distribution pattern as macroscopic constraint, so as to obtain the prediction result of the natural fracture interwell distribution pattern.
In an embodiment, the specific process of the model building module 510 for building the conceptual model of the natural fracture distribution pattern may be as shown in fig. 2, and includes:
according to the similar outcrop of the earth surface, natural fracture identification and reservoir stratum configuration identification are carried out, the quantitative relation between the fracture spacing and the thickness of the rock mechanical layer is analyzed, the range of the mechanical property and the thickness of the interlayer interface relative to the rock mechanical layer for limiting the longitudinal extension of the fracture is obtained, and the range of the mechanical property and the thickness of the interlayer interface relative to the rock mechanical layer for limiting the longitudinal extension of the fracture is determined;
and carrying out local structure identification based on the mechanical property and thickness range of the interlayer interface relative to the rock for limiting the longitudinal extension of the crack to obtain the distribution pattern of the natural crack in the unit with different configurations and the distribution pattern of the natural crack associated with the local structure of the fault and the fold, and establishing the conceptual model of the natural crack distribution pattern of the unit with different configurations and the local structure.
In one embodiment, the natural fracture identification module 550 analyzes the mechanical properties and thickness of the interlayer interface relative to the rock to limit the longitudinal extension of the fracture, and the specific process is as follows:
identifying the natural fractures according to the rock core data and the logging data to obtain a parameter distribution function (formula 1) of the trend, the dip angle, the height and the density of the natural fractures and a quantitative relation (formula 2) between fracture intervals and the thickness of a rock mechanical layer;
the natural fracture strike, dip, height and density parameter distribution functions are as follows:
Xi=f(xi); (1)
wherein, XiRepresenting a natural fracture strike, dip, height or density parameter distribution function;
xirepresenting natural fracture strike, dip, height or density parameters;
the quantitative relation between the crack spacing and the thickness of the rock mechanical layer is as follows:
S=f(h); (2)
wherein S represents a crack spacing;
h represents the thickness of the rock mechanical layer;
and determining the relationship between the mechanical properties and the thicknesses of the different interlayer interfaces relative to the rock and the longitudinal extension and termination of the limited crack according to the natural crack trend, the inclination angle, the height and the density parameter distribution function and the quantitative relationship between the crack spacing and the mechanical layer thickness of the rock, and obtaining the range of the mechanical properties and the thicknesses of the interlayer interfaces relative to the rock and the longitudinal extension of the limited crack.
It should be noted that although several modules of the tight low permeability reservoir natural fracture pattern prediction system are mentioned in the above detailed description, such partitioning is merely exemplary and not mandatory. Indeed, the features and functionality of two or more of the modules described above may be embodied in one module according to embodiments of the invention. Conversely, the features and functions of one module described above may be further divided into embodiments by a plurality of modules.
Based on the aforementioned inventive concept, as shown in fig. 6, the present invention further provides a computer device 600, which includes a memory 610, a processor 620, and a computer program 630 stored in the memory 610 and executable on the processor 620, wherein the processor 620 executes the computer program 630 to implement the aforementioned method for predicting the natural fracture distribution pattern of tight and low-permeability reservoirs.
Based on the aforementioned inventive concept, the present invention also provides a computer-readable storage medium storing a computer program for executing the method for predicting the natural fracture distribution pattern of the tight and low-permeability reservoir.
The method and the system can solve the problem of high difficulty in predicting the natural fracture interwell distribution pattern, can better predict the natural fracture development position and better depict the natural fracture distribution pattern aiming at the natural fracture commonly developed in the compact low-permeability reservoir, provide a way for clearing the natural fracture distribution pattern and fine depicting of the compact low-permeability reservoir, thereby providing geological basis for the exploration and development of the compact low-permeability reservoir, reducing the risk cost of the oil and gas exploration and development of the compact low-permeability reservoir, and can be widely applied to the natural fracture distribution pattern prediction of the fractured reservoir.
While the spirit and principles of the invention have been described with reference to several particular embodiments, it is to be understood that the invention is not limited to the disclosed embodiments, nor is the division of aspects, which is for convenience only as the features in such aspects may not be combined to benefit. The invention is intended to cover various modifications and equivalent arrangements included within the spirit and scope of the appended claims.

Claims (10)

1. A method for predicting a natural fracture distribution pattern of a tight low-permeability reservoir is characterized by comprising the following steps:
acquiring geological profile measurement data, performing identification analysis according to the similar outcrop on the earth surface in the geological profile measurement data, and establishing a natural fracture distribution pattern conceptual model;
acquiring rock core data, well logging data and seismic data;
carrying out fine dissection on the reservoir structure by using the rock core data and the logging data to obtain the distribution data of the interlayer interface;
identifying and acquiring distribution data of local structures of faults and folds according to the interpretation of the seismic data;
identifying the natural fracture according to the rock core data and the logging data, and analyzing to obtain the mechanical property and thickness of the interlayer interface relative to the rock so as to limit the longitudinal extension range of the fracture;
and predicting the distribution pattern of the natural fractures based on different configuration units and local structures according to the distribution data of the interlayer interface, the distribution data of the local structure, the mechanical property and the thickness of the interlayer interface relative to the rock and the range of limiting the longitudinal extension of the fractures by using the conceptual model of the natural fracture distribution pattern as macroscopic constraint to obtain the prediction result of the natural fracture interwell distribution pattern.
2. The method for predicting the natural fracture distribution pattern of the tight low-permeability reservoir of claim 1, wherein geological profile measurement data is obtained, recognition analysis is performed according to similar outcrops on the earth surface in the geological profile measurement data, and a natural fracture distribution pattern conceptual model is established, and the method comprises the following steps:
according to the similar outcrop of the earth surface, natural fracture identification and reservoir stratum configuration identification are carried out, the quantitative relation between the fracture spacing and the thickness of the rock mechanical layer is analyzed, the range of the mechanical property and the thickness of the interlayer interface relative to the rock mechanical layer for limiting the longitudinal extension of the fracture is obtained, and the range of the mechanical property and the thickness of the interlayer interface relative to the rock mechanical layer for limiting the longitudinal extension of the fracture is determined;
and carrying out local structure identification based on the mechanical property and thickness range of the interlayer interface relative to the rock for limiting the longitudinal extension of the crack to obtain the distribution pattern of the natural crack in the unit with different configurations and the distribution pattern of the natural crack associated with the local structure of the fault and the fold, and establishing the conceptual model of the natural crack distribution pattern of the unit with different configurations and the local structure.
3. The method for predicting the natural fracture distribution pattern of the tight low-permeability reservoir of claim 1, wherein the natural fractures are identified according to the core data and the logging data, and the range of limiting the longitudinal extension of the fractures by the mechanical properties and the thickness of the interlayer interface relative to the rock is obtained through analysis, and the method further comprises the following steps:
identifying the natural fracture according to the rock core data and the logging data to obtain a natural fracture trend, an inclination angle, a height and density parameter distribution function and a quantitative relation between a fracture interval and the thickness of a rock mechanical layer;
the natural fracture strike, dip, height and density parameter distribution functions are as follows:
Xi=f(xi); (1)
wherein, XiRepresenting a natural fracture strike, dip, height or density parameter distribution function;
xirepresenting natural fracture strike, dip, height or density parameters;
the quantitative relation between the crack spacing and the thickness of the rock mechanical layer is as follows:
S=f(h); (2)
wherein S represents a crack spacing;
h represents the thickness of the rock mechanical layer;
and determining the relationship between the mechanical properties and the thicknesses of the different interlayer interfaces relative to the rock and the longitudinal extension and termination of the limited crack according to the natural crack trend, the inclination angle, the height and the density parameter distribution function and the quantitative relationship between the crack spacing and the mechanical layer thickness of the rock, and obtaining the range of the mechanical properties and the thicknesses of the interlayer interfaces relative to the rock and the longitudinal extension of the limited crack.
4. The method for predicting the natural fracture distribution pattern of a tight low-permeability reservoir of any one of claims 1 to 3, wherein the interlayer interfaces are calcareous interlayer interfaces and argillaceous interlayer interfaces.
5. A tight low permeability reservoir natural fracture pattern prediction system, the system comprising:
the model building module is used for obtaining geological profile measurement data, carrying out recognition analysis according to the similar outcrop on the earth surface in the geological profile measurement data and building a natural fracture distribution pattern conceptual model;
the data acquisition module is used for acquiring rock core data, logging data and seismic data;
the configuration dissection module is used for finely dissecting the reservoir configuration by using the rock core data and the logging data to obtain the distribution data of the interlayer interface;
the local structure identification module is used for identifying and acquiring distribution data of local structures of faults and folds according to the interpretation of the seismic data;
the natural fracture identification module is used for identifying the natural fracture according to the rock core data and the logging data and analyzing to obtain the mechanical property and thickness of the interlayer interface relative to the rock so as to limit the longitudinal extension range of the fracture;
and the distribution pattern prediction module is used for predicting the distribution pattern of the natural fractures based on different configuration units and local structures according to the distribution data of the interlayer interface, the distribution data of the local structure, the mechanical property and the thickness of the interlayer interface relative to the rock and the range of limiting the longitudinal extension of the fractures by using the conceptual model of the natural fracture distribution pattern as macroscopic constraint, so as to obtain the prediction result of the natural fracture interwell distribution pattern.
6. The system of claim 5, wherein the model building module is further configured to perform natural fracture identification and reservoir configuration identification according to the surface-like outcrop, analyze a quantitative relationship between fracture spacing and mechanical rock layer thickness, obtain a range of mechanical properties and thicknesses of the interlayer interface relative to the rock to limit longitudinal extension of the fracture, and determine a range of mechanical properties and thicknesses of the interlayer interface relative to the rock to limit longitudinal extension of the fracture;
and carrying out local structure identification based on the mechanical property and thickness range of the interlayer interface relative to the rock for limiting the longitudinal extension of the crack to obtain the distribution pattern of the natural crack in the unit with different configurations and the distribution pattern of the natural crack associated with the local structure of the fault and the fold, and establishing the conceptual model of the natural crack distribution pattern of the unit with different configurations and the local structure.
7. The tight low-permeability reservoir natural fracture distribution pattern prediction system of claim 5, wherein the natural fracture identification module is further configured to identify natural fractures according to the core data and logging data to obtain a natural fracture strike, dip, height, density parameter distribution function and a quantitative relationship between fracture spacing and rock mechanical layer thickness;
the natural fracture strike, dip, height and density parameter distribution functions are as follows:
Xi=f(xi); (1)
wherein, XiRepresenting a natural fracture strike, dip, height or density parameter distribution function;
xirepresenting natural fracture strike, dip, height or density parameters;
the quantitative relation between the crack spacing and the thickness of the rock mechanical layer is as follows:
S=f(h); (2)
wherein S represents a crack spacing;
h represents the thickness of the rock mechanical layer;
and determining the relationship between the mechanical properties and the thicknesses of the different interlayer interfaces relative to the rock and the longitudinal extension and termination of the limited crack according to the natural crack trend, the inclination angle, the height and the density parameter distribution function and the quantitative relationship between the crack spacing and the mechanical layer thickness of the rock, and obtaining the range of the mechanical properties and the thicknesses of the interlayer interfaces relative to the rock and the longitudinal extension of the limited crack.
8. The tight low permeability reservoir natural fracture distribution pattern prediction system of any of claims 5-7, wherein the interbed interface is a calcareous interbed interface and a argillaceous interbed interface.
9. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the method of any one of claims 1 to 4 when executing the computer program.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program for executing the method of any one of claims 1 to 4.
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