CN117994453A - Method and device for modeling braided river reservoir, electronic equipment and storage medium - Google Patents
Method and device for modeling braided river reservoir, electronic equipment and storage medium Download PDFInfo
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Abstract
The invention discloses a method and a device for modeling a braided river reservoir, electronic equipment and a storage medium. The method comprises the following steps: determining a single sand level reservoir configuration interface; correcting a single sand level reservoir configuration interface and a sand scale according to the parameter relation between a braided river reservoir river channel and a beach, and determining the extension ranges of different levels of reservoir configuration interfaces in the lateral direction based on the single sand level reservoir configuration interface and the sand scale; establishing different layers of reservoir configuration interface development and combination modes of the braided river reservoir; and determining the spatial distribution of the different-level reservoir configuration interfaces based on the development and combination modes of the different-level reservoir configuration interfaces of the braided river reservoir and the lateral extension range of the different-level reservoir configuration interfaces. According to the technical scheme, accurate identification and fine characterization of the interlayer are realized, the plane and longitudinal spreading characteristics of the braided river reservoir are finely depicted through three-dimensional modeling, and guarantee is provided for fine description of the oil and gas reservoir, deployment and implementation of the horizontal well and efficient development of the gas field.
Description
Technical Field
The invention relates to the technical field of reservoir modeling, in particular to a method and a device for modeling a braided river reservoir, electronic equipment and a storage medium.
Background
The interlayer is an important cause for the heterogeneity of the reservoir, and along with the development of the oil and gas field, the interlayer is accurately identified and characterized, and is very important for the research on the fine spreading of the residual oil and gas of the oil and gas field; meanwhile, along with the progress of the process, the development of the horizontal well is more and more common, the high-precision reservoir characterization is urgently needed, the situation that the drilling meets the interlayer is avoided as much as possible, the construction risk and the drilling cost are reduced, the drilling meeting effect of the horizontal well is improved, and the geological reserve is effectively utilized.
The use of core data to study the spacer is a straightforward and reliable means, but the number of cored wells is limited after all. Therefore, the rock core lithology and electrical relation must be established, and the electrical marks of the compartments with different lithology are determined, so that the basis is provided for dividing and finely describing the compartments.
The conventional electrical measurement curves such as natural potential, gamma, resistivity, neutrons and density are mainly used in the conventional well measurement curves, and lithology is generally defined by directly adopting partial curve lower limit combinations, but the phenomenon that thin interlayers with smaller thickness do not react obviously on the curves, the property values of the well measurement curves are difficult to effectively identify the interlayer exists, and great influence is brought to the aspects of geological comprehensive research, horizontal well design and guiding and the like.
Disclosure of Invention
The invention provides a method, a device, electronic equipment and a storage medium for modeling a braided river reservoir, which realize the accurate identification and fine characterization of a spacer layer, finely delineate the plane and longitudinal spreading characteristics of the braided river reservoir through three-dimensional modeling, and provide guarantee for the fine description of oil and gas reservoirs, the deployment and implementation of horizontal wells and the efficient development of gas fields.
According to an aspect of the present invention, there is provided a method of modeling a braided river reservoir, the method comprising:
Dividing the braided river reservoir into a plurality of single sand layers according to a gyratory isochronal dividing principle, taking the interface of the vertical single sand layer of the braided river reservoir as a spacer layer, and determining a single sand level reservoir configuration interface based on the response relation between the spacer layer and GR return rate and conventional curves;
Calculating the relation between a braided river reservoir river channel and a beach parameter based on sedimentary microphase data, production data, logging data and test data of stratum fine comparison, correcting a single sand level reservoir configuration interface and a sand scale according to the relation between the braided river reservoir river channel and the beach parameter, and determining the extension range of different layers of reservoir configuration interfaces in the lateral direction based on the single sand level reservoir configuration interface and the sand scale;
Establishing different layers of reservoir configuration interface development and combination modes of the braided river reservoir;
And determining the spatial distribution of the different-level reservoir configuration interfaces based on the development and combination modes of the different-level reservoir configuration interfaces of the braided river reservoir and the lateral extension range of the different-level reservoir configuration interfaces.
According to another aspect of the present invention, there is provided a braided river reservoir modeling apparatus, the apparatus comprising:
The single sand body level reservoir configuration interface determining module is used for dividing the braided river reservoir into a plurality of single sand layers according to a gyratory isochronous division principle, taking the interface of the vertical single sand layer of the braided river reservoir as a interlayer, and determining the single sand body level reservoir configuration interface based on the response relation between the interlayer and GR return rate and a conventional curve;
The extension range determining module is used for calculating the parameter relation between the braided river reservoir river channel and the beach based on the sediment microphase data, the production data, the logging data and the test data of the stratum fine comparison, correcting the single sand-body-level reservoir configuration interface and the sand scale according to the parameter relation between the braided river reservoir river channel and the beach and the drainage area, and determining the extension range of the different-level reservoir configuration interface in the lateral direction based on the single sand-body-level reservoir configuration interface and the sand scale;
The development and combination mode establishing module is used for establishing different layers of reservoir configuration interface development and combination modes of the braided river reservoir;
The spatial distribution determining module is used for determining spatial distribution of different-level reservoir configuration interfaces based on the development and combination modes of the reservoir configuration interfaces of the different-level reservoir of the braided river and the extension range of the reservoir configuration interfaces of the different-level reservoir in the lateral direction.
According to another aspect of the present invention, there is provided an electronic apparatus including:
at least one processor; and
A memory communicatively coupled to the at least one processor; wherein,
The memory stores a computer program executable by the at least one processor to enable the at least one processor to perform a method of modeling a braided river reservoir according to any of the embodiments of the present invention.
According to another aspect of the present invention, there is provided a computer readable storage medium storing computer instructions for causing a processor to implement a method of modeling a braided river reservoir according to any of the embodiments of the present invention when executed.
According to the technical scheme, the method comprises the steps of dividing a plait-type river reservoir into a plurality of single sand layers according to a gyratory isochronal dividing principle, taking the interface of the plait-type river reservoir vertical single sand layer as a partition layer, determining a single sand layer configuration interface based on the response relation between the partition layer and a GR return rate and a conventional curve, calculating the parameter relation between a plait-type river reservoir river channel and a beach based on sedimentary microphase data, production data, logging data and test data of fine contrast of the stratum, correcting the single sand layer configuration interface and the sand body scale according to the parameter relation between the plait-type river reservoir river channel and the beach, determining the extension range of different-level reservoir configuration interfaces in the lateral direction based on the single sand layer configuration interface and the sand body scale, establishing a plait-type reservoir different-level configuration interface development and a combination mode, and determining the extension range of different-level reservoir configuration interfaces in the lateral direction based on the plait-type reservoir different-level configuration interface development and the combination mode. According to the technical scheme, accurate identification and fine characterization of the interlayer are realized, the plane and longitudinal spreading characteristics of the braided river reservoir are finely depicted through three-dimensional modeling, and guarantee is provided for fine description of the oil and gas reservoir, deployment and implementation of the horizontal well and efficient development of the gas field.
It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the invention or to delineate the scope of the invention. Other features of the present invention will become apparent from the description that follows.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a method for modeling a braided river reservoir according to a first embodiment of the present invention;
FIG. 2 is a schematic diagram of a block construction grid model according to an embodiment of the present application;
FIG. 3 is a block phase model slice diagram according to an embodiment of the present application;
FIG. 4 is a block porosity model section according to an embodiment of the present application;
Fig. 5 is a schematic structural diagram of a braided-river reservoir modeling apparatus according to a second embodiment of the present invention;
fig. 6 is a schematic structural diagram of an electronic device implementing a method for modeling a braided river reservoir according to an embodiment of the present invention.
Detailed Description
In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and the claims of the present invention and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the invention described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Example 1
Fig. 1 is a flowchart of a method for modeling a braided river reservoir according to an embodiment of the present invention, where the method may be performed by a braided river reservoir modeling apparatus, which may be implemented in hardware and/or software, and the braided river reservoir modeling apparatus may be configured in a device. For example, the device may be a device with communication and computing capabilities, such as a background server. As shown in fig. 1, the method includes:
S110, dividing the braided river reservoir into a plurality of single sand layers according to a gyratory isochronal dividing principle, taking the interface of the vertical single sand layer of the braided river reservoir as a spacer layer, and determining the configuration interface of the single sand layer level reservoir based on the response relation between the spacer layer and the GR return rate and the conventional curve.
In the scheme, the gyratory and the like are determined by identifying the continuity, arrangement or superposition patterns of the layer sequence in space through phase sequence analysis, and determining the development positions of the gyratory and the interface.
Furthermore, the braided river reservoir can be divided into a plurality of single sand layers according to a principle of gyratory isochronous division. Wherein, the plurality of single sand layers comprise a single-layer spacing layer, a single sand interlayer and a beach inner interlayer.
In this embodiment, after the braided-river reservoir is divided into a plurality of single sand layers, the configuration interfaces of the reservoir in the vertical different layers of the braided-river reservoir, namely the interlayer, are defined, and then the response relation between the braided-river core interlayer and the GR return rate and the conventional curve is established. The aim of establishing the response relationship is to quantitatively define the interlayer by adopting an equation taking GR return rate as a core in the later interlayer identification process. The GR return rate is defined as the change degree of the gamma curve value at the configuration interface relative to the average value of the gamma curves of the upper and lower surrounding rocks at the interface; the conventional electrical measurement curve refers to gamma, resistivity, neutron, density, time difference and other electrical measurement curves.
Optionally, determining a single sand level reservoir configuration interface based on the response relationship of the spacer layer to the GR return rate, the conventional curve, includes:
Acquiring a logging electrical measurement curve of the coring well; the coring well logging electrical measurement curve comprises gamma, resistivity, neutrons, density and sonic time difference;
normalizing the coring well logging electrical measurement curve to obtain a normalized coring well logging electrical measurement curve;
combining the normalized coring well logging electrical measurement curves to determine a predicted value;
and determining a single sand level reservoir configuration interface according to the predicted value.
Specifically, the logging electrical measurement curve of the coring well is mainly collected; the coring well logging electrical measurement curve comprises gamma, resistivity, neutrons, density and sonic time difference. And then confirming relevant parameters corresponding to the mudstone interlayer, and establishing a self-variable database.
Further, normalizing the coring well logging electrical measurement curve to obtain a normalized coring well logging electrical measurement curve. Normalization processing can be carried out on the logging electrical measurement curve of the coring well by adopting the following formula;
Wherein Dn is the normalized electrical logging curve of the coring well, D is the electrical logging curve of the coring well, D max is the maximum value of the electrical logging curve of the coring well, and D min is the minimum value of the electrical logging curve of the coring well.
In the scheme, the normalized coring well logging electrical measurement curves can be combined by utilizing a multiple linear regression method to determine the predicted value, and then the accurate identification of the single sand level reservoir configuration interface is realized according to the magnitude of the predicted value.
Through the accurate discernment of single sand body level reservoir configuration interface, can finely draw the braided river reservoir plane through three-dimensional modeling and vertically spread the characteristic, provide the guarantee for the fine description of oil gas reservoir, horizontal well deployment implementation, the high-efficient development of gas field.
Optionally, combining the normalized coring well logging electrical measurement curves to determine a predicted value, including:
calculating a predicted value by adopting the following formula;
y＝-3.72+0.399H+1.194GR-0.130RT+0.685Neu+0.592Den+
0.986AC+1.2765ΔGR+0.760K_GR；
Wherein y is a predicted value, H is a normalized layer thickness, and GR is normalized gamma; RT is normalized resistivity, neu is normalized neutron, den is normalized density, AC is normalized acoustic time difference, deltaGR is normalized gamma log offset, and K_GR is normalized gamma log return value.
And combining the normalized logging electrical measurement curves of the coring wells by utilizing a multiple linear regression method, and realizing the accurate identification of the single sand level reservoir configuration interface according to the size of the predicted value.
Optionally, before determining the single sand level reservoir configuration interface according to the predicted value, the method further comprises:
Determining lithology values;
correspondingly, determining a single sand level reservoir configuration interface according to the predicted value, including:
And determining a single-sand-level reservoir configuration interface according to the lithology value and the predicted value.
Specifically, sandstone is set to a value of 1, and mudstone is set to a value of-1.
In this scheme, if the predicted value is negative, the predicted lithology is mudstone, and if the predicted value is positive, the predicted lithology is sandstone.
Through the accurate discernment of single sand body level reservoir configuration interface, can finely draw the braided river reservoir plane through three-dimensional modeling and vertically spread the characteristic, provide the guarantee for the fine description of oil gas reservoir, horizontal well deployment implementation, the high-efficient development of gas field.
S120, calculating a parameter relation between a braided river reservoir river channel and a beach based on sedimentary microphase data, production data, logging data and test data of stratum fine comparison, correcting a single sand level reservoir configuration interface and a sand scale according to the parameter relation between the braided river reservoir river channel and the beach, and determining the extension range of different layers of reservoir configuration interfaces in the lateral direction based on the single sand level reservoir configuration interface and the sand scale.
In the scheme, sediment microphase data, production data, logging data and test data based on stratum fine comparison are combined to calculate the parameter relation between the braided river reservoir river channel and the beach. The spreading of the beach in the reservoir river of the braided river can be judged mainly by single well phase and sediment microphase and production data.
In this embodiment, the drainage area may be calculated with reference to the dynamic reserves to quantitatively correct the reservoir configuration interface and sand scale. The method comprises the steps of judging the spreading of the beach in a plaited river reservoir river channel, calculating the flow area by referring to the dynamic reserves, quantitatively describing the three-dimensional distribution characteristics of the sand body and the interlayer, and determining the reservoir configuration interface and the sand body scale.
Further, the extent of the different levels of reservoir configuration interface in the lateral direction is determined by reservoir development scale dissection.
The extension range of different layers of reservoir configuration interfaces in the lateral direction is determined through reservoir development scale dissection, so that guarantee is provided for fine description of oil and gas reservoirs, horizontal well deployment implementation and efficient development of gas fields.
S130, establishing different layers of reservoir configuration interface development and combination modes of the braided river reservoir.
Specifically, according to the principles of vertical stage separation and lateral demarcation, the vertical stacking mode of the sand bodies is divided into 3 types, namely an isolated type, a stacked type and a cut type by using a reservoir configuration technology.
S140, determining spatial distribution of different-level reservoir configuration interfaces based on the development and combination modes of the reservoir configuration interfaces of the different-level reservoir and the extension range of the reservoir configuration interfaces of the different-level reservoir in the lateral direction.
According to the scheme, the spatial distribution of the reservoir configuration interfaces of different layers is further defined according to the spreading of the reservoirs of different types, and quantitative characterization is achieved.
Optionally, the method further comprises:
establishing a stratum frame model by using well layering, earthquake interpretation construction layers, faults and a small layer thickness map;
based on the stratum frame model, establishing a reservoir classification phase model reflecting the plait river deposition mode in a grading manner;
and establishing three-dimensional spatial distribution of reservoir parameters based on the reservoir classification phase model so as to realize modeling of the braided river reservoir model.
In this scheme, fig. 2 is a schematic diagram of a block construction grid model according to an embodiment of the present application, and as shown in fig. 2, a layer frame model is built by using a well stratification, a seismic interpretation construction layer, a fault and a small layer thickness map based on a three-dimensional seismic interpretation dominant layer top surface construction.
In this embodiment, fig. 3 is a block phase model slice diagram provided in the first embodiment of the present application, and as shown in fig. 3, based on multi-point geostatistical simulation, pixel-based simulation and target-based simulation are jointly applied to complement each other, and modeling ideas of hierarchical configuration control and hierarchical collaborative constraint are adopted to build a reservoir classification phase model reflecting a braided river deposition mode in stages.
Further, fig. 4 is a section of a block porosity model according to an embodiment of the present application, and as shown in fig. 4, the attribute modeling is a three-dimensional spatial distribution model of reservoir parameters. Reservoir property parameters include porosity, permeability, gas saturation, and the like. The purpose of establishing a reservoir parameter model is to define the spatial position and the distribution range of a favorable reservoir and to characterize the spatial heterogeneity of the reservoir. And (3) utilizing the constrained simulation of the sedimentary facies model layer by layer and phase by phase to characterize the physical property distribution condition of the underground reservoir. A Sequential Gaussian (SGS) simulation algorithm under a phase control condition is selected to simulate the physical parameters of the reservoir, such as porosity, permeability and gas saturation.
Optionally, after the modeling of the braided river reservoir model is implemented, the method further includes:
And verifying the modeling effect of the braided river reservoir model based on geological knowledge verification, well pattern thinning verification, reservoir parameter comparison, reserve calculation and dynamic verification.
Specifically, the degree of knowledge of the subsurface geologic condition, the application effect of modeling base data, and the rationality of modeling methods and algorithms determine the accuracy and precision of geologic modeling to a great extent. The modeling effect is checked from the aspects of geological recognition verification, well pattern thinning verification, reservoir parameter comparison, reserve calculation, dynamic verification and the like. If the model is good in effect and high in precision, outputting the model; if the model effect is not good, repeatedly adjusting modeling parameters, and reestablishing the model until the ideal effect is achieved.
According to the technical scheme, the method comprises the steps of dividing a plait-type river reservoir into a plurality of single sand layers according to a gyratory isochronal dividing principle, taking the interface of the plait-type river reservoir vertical single sand layer as a partition layer, determining a single sand layer configuration interface based on the response relation between the partition layer and a GR return rate and a conventional curve, calculating the parameter relation between a plait-type river reservoir river channel and a beach based on sedimentary microphase data, production data, logging data and test data of fine contrast of the stratum, correcting the single sand layer configuration interface and the sand body scale according to the parameter relation between the plait-type river reservoir river channel and the beach, determining the extension range of different-level reservoir configuration interfaces in the lateral direction based on the single sand layer configuration interface and the sand body scale, establishing a plait-type reservoir different-level configuration interface development and a combination mode, and determining the extension range of different-level reservoir configuration interfaces in the lateral direction based on the plait-type reservoir different-level configuration interface development and the combination mode. Through executing this technical scheme, realized separating accurate discernment and the meticulous characterization of intermediate layer, finely depicted pigtail river reservoir level and vertical exhibition cloth characteristic through three-dimensional modeling, provide the guarantee for the meticulous description of hydrocarbon reservoir, horizontal well deployment implementation, the high-efficient development of gas field.
Example two
Fig. 5 is a schematic structural diagram of a braided-river reservoir modeling apparatus according to a second embodiment of the present invention. As shown in fig. 5, the apparatus includes:
The single sand body level reservoir configuration interface determining module 510 is configured to divide the braided river reservoir into a plurality of single sand layers according to a principle of division such as gyratory, and determine a single sand body level reservoir configuration interface based on a response relationship between the single sand layer and a GR return rate and a conventional curve, wherein an interface of the single sand layer is used as a spacer layer;
The lateral extension range determining module 520 is configured to calculate a relationship between a braided river reservoir river channel and a beach parameter based on the sedimentary microphase data, the production data, the logging data and the test data of the formation fine comparison, correct a single sand level reservoir configuration interface and a sand scale according to the relationship between the braided river reservoir river channel and the beach parameter and the drainage area, and determine the lateral extension range of the different levels reservoir configuration interface based on the single sand level reservoir configuration interface and the sand scale;
The development and combination mode establishing module 530 is configured to establish a development and combination mode of different levels of reservoir configuration interfaces of the braided river reservoir;
The different-level reservoir configuration interface spatial distribution determining module 540 is configured to determine the different-level reservoir configuration interface spatial distribution based on the different-level reservoir configuration interface development and combination modes of the braided river reservoir and the extension range of the different-level reservoir configuration interface in the lateral direction.
Optionally, the single sand level reservoir configuration interface determination module 510 includes:
The coring well logging electrical measurement curve acquisition unit is used for acquiring a coring well logging electrical measurement curve; the coring well logging electrical measurement curve comprises gamma, resistivity, neutrons, density and sonic time difference;
the normalization unit is used for normalizing the coring well logging electrical measurement curve to obtain a normalized coring well logging electrical measurement curve;
the predicted value determining unit is used for combining the normalized coring well logging electrical measurement curves to determine a predicted value;
And the single sand level reservoir configuration interface determining unit is used for determining a single sand level reservoir configuration interface according to the predicted value.
Optionally, the predicted value determining unit is specifically configured to:
calculating a predicted value by adopting the following formula;
y＝-3.72+0.399H+1.194GR-0.130RT+0.685Neu+0.592Den+
0.986AC+1.2765ΔGR+0.760K_GR；
Wherein y is a predicted value, H is a normalized layer thickness, and GR is normalized gamma; RT is normalized resistivity, neu is normalized neutron, den is normalized density, AC is normalized acoustic time difference, deltaGR is normalized gamma log offset, and K_GR is normalized gamma log return value.
Optionally, the single sand level reservoir configuration interface determination module 510 further includes:
A lithology value determining unit for determining lithology values;
correspondingly, the single sand body level reservoir configuration interface determining unit is specifically used for:
And determining a single-sand-level reservoir configuration interface according to the lithology value and the predicted value.
Optionally, the apparatus further includes:
the stratum frame model building module is used for building a stratum frame model by using well layering, earthquake interpretation construction layers, faults and a small layer thickness map;
the reservoir classified phase model building module is used for building a reservoir classified phase model reflecting a braided river deposition mode in a grading manner based on the stratum frame model;
and the modeling module of the braided river reservoir model is used for establishing three-dimensional spatial distribution of reservoir parameters based on the reservoir classification phase model so as to realize modeling of the braided river reservoir model.
Optionally, the apparatus further includes:
The modeling effect verification module is used for verifying the modeling effect of the braided river reservoir model based on geological knowledge verification, well pattern thinning verification, reservoir parameter comparison, reserve calculation and dynamic verification.
The device for modeling the braided river reservoir provided by the embodiment of the invention can execute the method for modeling the braided river reservoir provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method.
Example III
Fig. 6 shows a schematic diagram of the structure of an electronic device 10 that may be used to implement an embodiment of the invention. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. Electronic equipment may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.
As shown in fig. 6, the electronic device 10 includes at least one processor 11, and a memory, such as a Read Only Memory (ROM) 12, a Random Access Memory (RAM) 13, etc., communicatively connected to the at least one processor 11, in which the memory stores a computer program executable by the at least one processor, and the processor 11 may perform various appropriate actions and processes according to the computer program stored in the Read Only Memory (ROM) 12 or the computer program loaded from the storage unit 18 into the Random Access Memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 may also be stored. The processor 11, the ROM 12 and the RAM 13 are connected to each other via a bus 14. An input/output (I/O) interface 15 is also connected to bus 14.
Various components in the electronic device 10 are connected to the I/O interface 15, including: an input unit 16 such as a keyboard, a mouse, etc.; an output unit 17 such as various types of displays, speakers, and the like; a storage unit 18 such as a magnetic disk, an optical disk, or the like; and a communication unit 19 such as a network card, modem, wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information/data with other devices via a computer network, such as the internet, and/or various telecommunication networks.
The processor 11 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various processors running machine learning model algorithms, digital Signal Processors (DSPs), and any suitable processor, controller, microcontroller, etc. The processor 11 performs the various methods and processes described above, such as a braided river reservoir modeling method.
In some embodiments, a method of modeling a braided river reservoir may be implemented as a computer program tangibly embodied on a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 10 via the ROM 12 and/or the communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more steps of a braided-river reservoir modeling method described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured to perform a braided-river reservoir modeling method by any other suitable means (e.g., by means of firmware).
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuit systems, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems On Chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.
A computer program for carrying out methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be implemented. The computer program may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of the present invention, a computer-readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. The computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described here can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) through which a user can provide input to the electronic device. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic input, speech input, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), blockchain networks, and the internet.
The computing system may include clients and servers. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical hosts and VPS service are overcome.
It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps described in the present invention may be performed in parallel, sequentially, or in a different order, so long as the desired results of the technical solution of the present invention are achieved, and the present invention is not limited herein.
The above embodiments do not limit the scope of the present invention. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of the present invention.
Claims (10)
1. A method of modeling a braided river reservoir, comprising:
Dividing the braided river reservoir into a plurality of single sand layers according to a gyratory isochronal dividing principle, taking the interface of the vertical single sand layer of the braided river reservoir as a spacer layer, and determining a single sand level reservoir configuration interface based on the response relation between the spacer layer and GR return rate and conventional curves;
Calculating the relation between a braided river reservoir river channel and a beach parameter based on sedimentary microphase data, production data, logging data and test data of stratum fine comparison, correcting a single sand level reservoir configuration interface and a sand scale according to the relation between the braided river reservoir river channel and the beach parameter, and determining the extension range of different layers of reservoir configuration interfaces in the lateral direction based on the single sand level reservoir configuration interface and the sand scale;
Establishing different layers of reservoir configuration interface development and combination modes of the braided river reservoir;
And determining the spatial distribution of the different-level reservoir configuration interfaces based on the development and combination modes of the different-level reservoir configuration interfaces of the braided river reservoir and the lateral extension range of the different-level reservoir configuration interfaces.
2. The method of claim 1, wherein determining a single sand level reservoir configuration interface based on the response of the interval to GR return rate, a conventional curve, comprises:
Acquiring a logging electrical measurement curve of the coring well; the coring well logging electrical measurement curve comprises gamma, resistivity, neutrons, density and sonic time difference;
normalizing the coring well logging electrical measurement curve to obtain a normalized coring well logging electrical measurement curve;
combining the normalized coring well logging electrical measurement curves to determine a predicted value;
and determining a single sand level reservoir configuration interface according to the predicted value.
3. The method of claim 2, wherein combining the normalized coring well log curves to determine a predicted value comprises:
calculating a predicted value by adopting the following formula;
y＝-3.72+0.399H+1.194GR-0.130RT+0.685Neu+0.592Den+0.986AC+1.2765ΔGR+0.760K_GR；
Wherein y is a predicted value, H is a normalized layer thickness, and GR is normalized gamma; RT is normalized resistivity, neu is normalized neutron, den is normalized density, AC is normalized acoustic time difference, deltaGR is normalized gamma log offset, and K_GR is normalized gamma log return value.
4. The method of claim 2, wherein prior to determining the single sand level reservoir configuration interface based on the predicted value, the method further comprises:
Determining lithology values;
correspondingly, determining a single sand level reservoir configuration interface according to the predicted value, including:
And determining a single-sand-level reservoir configuration interface according to the lithology value and the predicted value.
5. The method according to claim 1, wherein the method further comprises:
establishing a stratum frame model by using well layering, earthquake interpretation construction layers, faults and a small layer thickness map;
based on the stratum frame model, establishing a reservoir classification phase model reflecting the plait river deposition mode in a grading manner;
and establishing three-dimensional spatial distribution of reservoir parameters based on the reservoir classification phase model so as to realize modeling of the braided river reservoir model.
6. The method of claim 5, wherein after implementing the model modeling of the braided river reservoir, the method further comprises:
And verifying the modeling effect of the braided river reservoir model based on geological knowledge verification, well pattern thinning verification, reservoir parameter comparison, reserve calculation and dynamic verification.
7. A braided river reservoir modeling apparatus, comprising:
The single sand body level reservoir configuration interface determining module is used for dividing the braided river reservoir into a plurality of single sand layers according to a gyratory isochronous division principle, taking the interface of the vertical single sand layer of the braided river reservoir as a interlayer, and determining the single sand body level reservoir configuration interface based on the response relation between the interlayer and GR return rate and a conventional curve;
The extension range determining module is used for calculating the parameter relation between the braided river reservoir river channel and the beach based on the sediment microphase data, the production data, the logging data and the test data of the stratum fine comparison, correcting the single sand-body-level reservoir configuration interface and the sand scale according to the parameter relation between the braided river reservoir river channel and the beach and the drainage area, and determining the extension range of the different-level reservoir configuration interface in the lateral direction based on the single sand-body-level reservoir configuration interface and the sand scale;
The development and combination mode establishing module is used for establishing different layers of reservoir configuration interface development and combination modes of the braided river reservoir;
The spatial distribution determining module is used for determining spatial distribution of different-level reservoir configuration interfaces based on the development and combination modes of the reservoir configuration interfaces of the different-level reservoir of the braided river and the extension range of the reservoir configuration interfaces of the different-level reservoir in the lateral direction.
8. The apparatus of claim 7, wherein the single sand level reservoir configuration interface determination module comprises:
The coring well logging electrical measurement curve acquisition unit is used for acquiring a coring well logging electrical measurement curve; the coring well logging electrical measurement curve comprises gamma, resistivity, neutrons, density and sonic time difference;
the normalization unit is used for normalizing the coring well logging electrical measurement curve to obtain a normalized coring well logging electrical measurement curve;
the predicted value determining unit is used for combining the normalized coring well logging electrical measurement curves to determine a predicted value;
And the single sand level reservoir configuration interface determining unit is used for determining a single sand level reservoir configuration interface according to the predicted value.
9. An electronic device, the electronic device comprising:
at least one processor; and a memory communicatively coupled to the at least one processor; wherein,
The memory stores a computer program executable by the at least one processor to enable the at least one processor to perform a method of braided-river reservoir modeling as claimed in any one of claims 1 to 6.
10. A computer readable storage medium storing computer instructions for causing a processor to perform a method of modeling a braided river reservoir according to any one of claims 1-6.
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