Method, device and equipment for reconstructing paleogeographic environment of clastic rock stratum and storage medium

Abstract

The application provides a clastic rock stratum paleogeographic environment reconstruction method, device, equipment and storage medium. The clastic rock stratum paleogeographic environment reconstruction method combines core identification and logging data, establishes a fine and continuous lithology profile of a non-coring section and a well, reconstructs a paleogeographic environment according to a lithology proportion, and thus realizes systematic and regional research on a large area with less coring, improves geological understanding, and promotes better oil and gas exploration and development.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of geological exploration, in particular to a method and device for reconstructing paleogeographic environment of clastic rock stratum, equipment and storage medium. BACKGROUND

[0002] Clastic rock stratum is an important oil and gas reservoir, and systematic understanding of its paleogeographic environment and evolution characteristics plays an extremely important role in oil and gas exploration and development. The conventional paleogeographic environment reconstruction method includes geostatistical analysis, remote sensing technology, and the combination of geological analysis and well logging interpretation. Among them, the basic geological description and sample experimental analysis method is mainly aimed at direct description and experimental analysis of core and outcrop, and the identification result is relatively accurate. However, it is difficult to carry out corresponding research on the less and scattered areas of downhole coring, especially it is difficult to conduct in-depth, rapid and systematic regional research on a large range of basins.

[0003] Using logging information to identify the type of stratum sedimentary facies / sedimentary subfacies and reconstruct the paleogeographic environment is another commonly used means, which mainly includes manual interpretation of conventional logging data to determine. Although the above logging method can identify the paleogeographic environment, it usually needs more manual intervention and takes a long time, and the reconstruction of the paleogeographic environment of the stratum is relatively limited. The geological statistical method such as cluster analysis has higher requirements for the representativeness and comprehensiveness of the original sample data, and is easily affected by sample fluid properties and manual interpretation, so the pertinence and reliability are relatively poor, and it is difficult to quickly realize the fine identification and evaluation of reservoir properties and the identification of paleogeographic environment. It has been proved that the combination of core and logging data can not only meet the accuracy requirements, but also establish a continuous stratum lithology profile to identify the paleogeographic environment, which is a relatively fast, accurate and effective method. However, the previous studies are mostly based on the results of core and cutting test samples to determine the lithology sedimentary facies / sedimentary subfacies type, which not only has high testing cost, but also has poor sample representativeness due to data limitation, and it is difficult to exclude the possibility of missing lithology. At the same time, the specific implementation process is also relatively vague, and the accuracy of the sedimentary environment identified by logging is not verified, so it is difficult to ensure the accuracy of the final sedimentary facies / sedimentary subfacies identification.

[0004] It should be noted that the information disclosed in the background section of the present application is only intended to deepen the understanding of the general background of the present application, and should not be regarded as acknowledging or implying in any form that the information constitutes prior art known to those skilled in the art. SUMMARY

[0005] Therefore, the present application provides a method and device for reconstructing paleogeographic environment of clastic rock stratum, equipment and storage medium, so as to solve the problems in the reconstruction of paleogeographic environment of clastic rock stratum in the prior art.

[0006] In a first aspect, the embodiments of the present application provide a method for reconstructing a paleogeographic environment of a clastic rock formation, comprising:

[0007] selecting important wells with logging curves in the study area, and key wells with cores in the important wells with logging curves;

[0008] obtaining a sampling data set of the key wells with cores, the sampling data set including depths of sampling points, lithology types, and sedimentary facies / sedimentary subfacies types, and logging curve parameters corresponding to the depths of the sampling points;

[0009] establishing a lithology type-logging curve relationship model and a sedimentary facies / sedimentary subfacies-lithology proportion relationship model respectively by using a first sampling data subset in the sampling data set, the lithology type-logging curve relationship model being used to represent a corresponding relationship between lithology types and logging curve parameters, and the sedimentary facies / sedimentary subfacies-lithology proportion relationship model being used to represent a corresponding relationship between sedimentary facies / sedimentary subfacies types and lithology proportions;

[0010] applying the lithology type-logging curve relationship model to the key wells with cores to identify lithology type distributions of whole well sections of the key wells with cores, and determining lithology proportions of each layer section of the key wells with cores according to the lithology type distributions of the whole well sections of the key wells with cores;

[0011] applying the lithology type-logging curve relationship model to target important wells to identify lithology types of whole well sections of the target important wells, and determining lithology proportions of each layer section of the target important wells according to the lithology types of the whole well sections of the target important wells, wherein the target important wells are important wells with logging curves other than the key wells with cores;

[0012] applying the sedimentary facies / sedimentary subfacies-lithology proportion relationship model to the key wells with cores and the target important wells to identify sedimentary facies / sedimentary subfacies types of each layer section of the key wells with cores and the target important wells;

[0013] reconstructing a paleogeographic environment of the study area according to the sedimentary facies / sedimentary subfacies types of each layer section of the key wells with cores and the target important wells.

[0014] In a possible implementation manner, the method further comprises:

[0015] verifying the lithology type-logging curve relationship model by using a second sampling data subset in the sampling data set;

[0016] If the accuracy rate of the verification result of the lithology type-logging curve relationship model is less than a preset first accuracy threshold, the lithology type-logging curve relationship model is optimized until the accuracy rate of the verification result of the lithology type-logging curve relationship model is greater than or equal to the first accuracy threshold.

[0017] In a possible implementation, the method further includes:

[0018] The sedimentary facies / sedimentary subfacies-lithology proportion relationship model is verified by using a second sampling data subset in the sampling data set;

[0019] If the accuracy rate of the verification result of the sedimentary facies / sedimentary subfacies-lithology proportion relationship model is less than a preset second accuracy threshold, the sedimentary facies / sedimentary subfacies-lithology proportion relationship model is optimized until the accuracy rate of the verification result of the sedimentary facies / sedimentary subfacies-lithology proportion relationship model is greater than or equal to the second accuracy threshold.

[0020] In a possible implementation, the screening rule of the core-containing key well is:

[0021] The core-containing key well covers the target interval of the study area and contains representative or all lithology types and sedimentary facies / sedimentary subfacies types of the target interval of the study area.

[0022] In a possible implementation, the screening rule of the logging curve-containing important well is that the logging curve-containing important well covers the target interval of the study area and contains main logging curves, and the main logging curves include a natural gamma ray logging curve, a density logging curve, a sonic time difference logging curve, and a neutron logging curve.

[0023] In a possible implementation, the lithology types include coal seams, mudstones, and sandstones; and the sedimentary facies / sedimentary subfacies types include distributary channels / mouth bars, shoreface / creep fans, prodelta / interdistributary bays, open lakes, and coal swamps.

[0024] In a possible implementation, the obtaining of the sampling data set of the core-containing key well includes:

[0025] The core description data of the core-containing key well and the logging curves of the logging curve-containing important well are imported into Petrel software.

[0026] The data of the core-containing key well is sampled by using the Petrel software to obtain a sampling data set.

[0027] In a second aspect, an embodiment of the present application provides a device for reconstructing a paleogeographic environment of a clastic rock stratum, including:

[0028] The important well and key well selection module is configured to select important wells with well logging curves in the study area and key wells with cores in the important wells with well logging curves;

[0029] The sampling data set acquisition module is configured to acquire a sampling data set of the key well with cores, the sampling data set including depths of sampling points, lithology types, and sedimentary facies / sedimentary subfacies types, and well logging curve parameters corresponding to the depths of the sampling points;

[0030] The relationship model establishment module is configured to respectively establish a lithology type-well logging curve relationship model and a sedimentary facies / sedimentary subfacies-lithology proportion relationship model by using a first sampling data subset in the sampling data set, the lithology type-well logging curve relationship model being configured to represent a corresponding relationship between the lithology types and the well logging curve parameters, and the sedimentary facies / sedimentary subfacies-lithology proportion relationship model being configured to represent a corresponding relationship between the sedimentary facies / sedimentary subfacies types and the lithology proportions;

[0031] The first lithology identification module is configured to apply the lithology type-well logging curve relationship model to the key well with cores to identify a lithology type distribution of a whole well section of the key well with cores, and determine lithology proportions of each layer section of the key well with cores according to the lithology type distribution of the whole well section of the key well with cores;

[0032] The second lithology identification module is configured to apply the lithology type-well logging curve relationship model to a target important well to identify a lithology type of a whole well section of the target important well, and determine lithology proportions of each layer section of the target important well according to the lithology type of the whole well section of the target important well, wherein the target important well is an important well with well logging curves other than the key well with cores;

[0033] The sedimentary facies / sedimentary subfacies identification module is configured to apply the sedimentary facies / sedimentary subfacies-lithology proportion relationship model to the key well with cores and the target important well to identify sedimentary facies / sedimentary subfacies types of each layer section of the key well with cores and the target important well;

[0034] The paleogeographic environment reconstruction module is configured to reconstruct a paleogeographic environment of the study area according to the sedimentary facies / sedimentary subfacies types of each layer section of the key well with cores and the target important well.

[0035] In a third aspect, an electronic device is provided, including:

[0036] a processor;

[0037] a memory;

[0038] and a computer program, wherein the computer program is stored in the memory, and the computer program includes instructions, which, when executed by the processor, cause the electronic device to perform the method in any one of the first aspect.

[0039] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, which includes a stored program, wherein the program, when executed, controls a device where the computer-readable storage medium is located to perform the method in any one of the first aspect.

[0040] In the embodiments of the present application, the core identification is combined with the logging data to establish a fine and continuous lithology profile of the non-coring section and well, and the paleogeographic environment is reconstructed according to the lithology proportion, so that systematic and regional research is implemented on a large area with less and scattered coring, the geological understanding is improved, and the oil and gas exploration and development work is better promoted. BRIEF DESCRIPTION OF DRAWINGS

[0041] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed in the embodiments will be briefly introduced as follows. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0042] Figure 1 A flowchart of a clastic rock formation paleogeographic environment reconstruction method provided by an embodiment of the present application is shown in the figure.

[0043] Figure 2 A part of the sampling data set provided by an embodiment of the present application is shown in the figure.

[0044] Figure 3 A structure block diagram of a clastic rock formation paleogeographic environment reconstruction device provided by the present application is shown in the figure.

[0045] Figure 4 A structure diagram of an electronic device provided by an embodiment of the present application is shown in the figure. DETAILED DESCRIPTION

[0046] In order to better understand the technical solutions of the present application, the embodiments of the present application will be described in detail below with reference to the drawings.

[0047] It should be clear that the described embodiments are only some embodiments of the present application, not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0048] The terminology used in the embodiments of the present application is for the purpose of describing particular embodiments only and is not intended to be limiting of the present application. As used in the description of the embodiments of the present application and the appended claims, the singular forms "a", "an" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.

[0049] It should be understood that the term "and / or" used herein is only a description of the association relationship of the associated objects, which means that there can be three relationships, for example, A and / or B, which can represent the three cases of A existing alone, A and B existing together, and B existing alone. In addition, the character " / " herein generally represents an "or" relationship between the front and rear associated objects.

[0050] In view of the problems in the prior art in the process of reconstructing the paleogeographic environment of the clastic rock stratum, the embodiments of the present application provide a method for reconstructing the paleogeographic environment of the clastic rock stratum, which combines core identification with logging data to establish a fine and continuous lithology profile of the non-cored section and well, and reconstructs the paleogeographic environment according to the lithology proportion, so as to realize systematic and regional research on a large range of areas with less and scattered coring, improve geological understanding, and promote better oil and gas exploration and development. In the following, specific embodiments are combined for detailed description.

[0051] Referring to Figure 1 A flowchart of a method for reconstructing the paleogeographic environment of the clastic rock stratum provided by the embodiments of the present application is shown in FIG. 1. As shown in FIG. 1, the method mainly includes the following steps. Figure 1

[0052] Step S101: Selecting important wells with logging curves in the study area and key wells with cores in the important wells with logging curves.

[0053] In actual application, the number of wells with logging curves is usually greater than the number of wells with cores. In order to facilitate the distinction, in the embodiments of the present application, the well with logging curves is referred to as "important well", and the well with the core of the target layer is referred to as "key well". Since the well with the core of the target layer usually also contains logging curves, the important well with logging curves involved in the embodiments of the present application includes the key well with cores.

[0054] In specific implementation, the key well with cores should cover the target layer of the study area as much as possible, and contain representative or all lithology types, sedimentary facies / sedimentary subfacies types of the target layer; the important well with logging curves should cover the target layer of the study area as much as possible, and contain main logging curves, including natural gamma logging curve, density logging curve, acoustic time difference logging curve and neutron logging curve, etc. In addition, the important well with logging curves should cover the entire study area as much as possible, so as to reflect the structural pattern distribution of the study area.

[0055] ​Step S102: Obtain a sampling data set of the core-containing key well, the sampling data set including the depth of a sampling point, a lithology type, and a sedimentary facies / sedimentary subfacies type, and a logging curve parameter corresponding to the depth of the sampling point.

[0056] In a specific implementation, after the core-containing key well is selected, the core of the core-containing key well can be finely described to identify the lithology type and the sedimentary facies / sedimentary subfacies type of the target interval corresponding to the core-containing key well, and the corresponding depth distribution. Specifically, the lithology type can be divided according to the grain size characteristics of the main components of the stratum, for example, can be divided into coal seams, mudstones, sandstones, and the like, and the specific implementation is subject to actual conditions; the sedimentary facies / sedimentary subfacies type can be divided according to the longitudinal lithology combination characteristics, for example, can be divided into distributary channel / mouth bar, shore / crevasse splay, prodelta / interdistributary bay, open lake, and coal swamp, and the specific implementation is subject to actual conditions.

[0057] In a possible implementation, the core description data of the core-containing key well can be imported into the Petrel software to finely depict the depth distribution characteristics of the lithology type and the sedimentary facies / sedimentary subfacies type. In addition, the logging curves of the logging curve important well can be loaded into the Petrel software. It can be understood that the Petrel software contains the depth, the lithology type, the sedimentary facies / sedimentary subfacies type, and the logging curve data of the core-containing key well at this time.

[0058] Further, the data of the core-containing key well is sampled by the Petrel software to obtain a sampling data set, the sampling data including the depth of a sampling point, a lithology type, and a sedimentary facies / sedimentary subfacies type, and a logging curve parameter corresponding to the depth of the sampling point. Exemplarily, part of the data in the obtained sampling data set is as shown in Figure 2 .

[0059] Step S103: A first sampling data subset in the sampling data set is used to respectively establish a lithology type-logging curve relationship model and a sedimentary facies / sedimentary subfacies-lithology proportion relationship model, the lithology type-logging curve relationship model being used to represent the corresponding relationship between the lithology type and the logging curve parameter, and the sedimentary facies / sedimentary subfacies-lithology proportion relationship model being used to represent the corresponding relationship between the sedimentary facies / sedimentary subfacies type and the lithology proportion.

[0060] In the embodiments of the present application, the first sampling data subset is part of the data in the sampling data set. That is, part of the data in the sampling data set is used to establish the lithology type-logging curve relationship model and the sedimentary facies / sedimentary subfacies-lithology proportion relationship model. In addition, another part of the data (a second sampling data subset) in the sampling data set is used to verify the established lithology type-logging curve relationship model and the sedimentary facies / sedimentary subfacies-lithology proportion relationship model.

[0061] Since the lithology type-logging curve relationship model is a model representing the corresponding relationship between the lithology type and the logging curve parameter, the lithology type-logging curve relationship model can be mainly established by the lithology type and the logging curve parameter in the first sampling data subset. For example, the lithology type-logging curve relationship model is shown in Table 1.

[0062] Table 1:

[0063]

[0064] Since the sedimentary facies / sedimentary subfacies-lithology proportion relationship model is a model representing the corresponding relationship between the sedimentary facies / sedimentary subfacies type and the lithology proportion, the sedimentary facies / sedimentary subfacies-lithology proportion relationship model can be mainly established by the sedimentary facies / sedimentary subfacies and the lithology proportion in the first sampling data subset. The lithology proportion can be calculated by the lithology type. For example, the sedimentary facies / sedimentary subfacies-lithology proportion relationship model is shown in Table 2.

[0065] Table 2:

[0066]

[0067]

[0068] In a possible implementation, after the lithology type-logging curve relationship model is obtained, the lithology type-logging curve relationship model can be verified by using the second sampling data subset in the sampling data set. Specifically, the lithology type-logging curve relationship model is verified by using the lithology type and the logging curve parameter in the second sampling data subset.

[0069] If the accuracy rate of the verification result of the lithology type-logging curve relationship model is greater than or equal to a preset first accuracy threshold, it is indicated that the requirement is met, and then the subsequent step can be performed; if the accuracy rate of the verification result of the lithology type-logging curve relationship model is less than the preset first accuracy threshold, the lithology type-logging curve relationship model is optimized until the accuracy rate of the verification result of the lithology type-logging curve relationship model is greater than or equal to the first accuracy threshold. For example, the first accuracy threshold can be set to 85%, and of course, the first accuracy threshold can be set to other numerical values according to actual needs by those skilled in the art, and the embodiments of the present application do not make specific limitations thereto.

[0070] In a possible implementation, after obtaining the sedimentary facies / sedimentary subfacies-lithology proportion relationship model, the sedimentary facies / sedimentary subfacies-lithology proportion relationship model can be verified by using a second sampling data subset in the sampling data set. Specifically, the sedimentary facies / sedimentary subfacies-lithology proportion relationship model is verified by using the sedimentary facies / sedimentary subfacies and the lithology proportion in the second sampling data subset.

[0071] If the accuracy of the verification result of the sedimentary facies / sedimentary subfacies-lithology proportion relationship model is greater than or equal to the preset second accuracy threshold, it is considered that the requirement is met, and the subsequent step can be performed. If the accuracy of the verification result of the sedimentary facies / sedimentary subfacies-lithology proportion relationship model is less than the preset second accuracy threshold, the sedimentary facies / sedimentary subfacies-lithology proportion relationship model is optimized until the accuracy of the verification result of the sedimentary facies / sedimentary subfacies-lithology proportion relationship model is greater than or equal to the second accuracy threshold. For example, the second accuracy threshold can be set to 85%, and of course, the second accuracy threshold can be set to other values according to actual needs, and the embodiments of the present application do not make specific limitations in this regard.

[0072] Step S104: applying the lithology type-logging curve relationship model to the core-bearing key well to identify the lithology type distribution of the whole well section of the core-bearing key well, and determining the lithology proportion of each layer section of the core-bearing key well according to the lithology type distribution of the whole well section of the core-bearing key well.

[0073] Specifically, since the core-bearing key well contains the logging curve parameters of the whole well section, the lithology type distribution of the whole well section of the core-bearing key well can be identified according to the logging curve parameters of the whole well section of the core-bearing key well and the lithology type-logging curve relationship model. After obtaining the lithology type distribution of the whole well section of the core-bearing key well, the lithology proportion of each layer section of the core-bearing key well is determined according to the lithology type distribution of the whole well section of the core-bearing key well.

[0074] Step S105: applying the lithology type-logging curve relationship model to the target important well to identify the lithology type of the whole well section of the target important well, and determining the lithology proportion of each layer section of the target important well according to the lithology type of the whole well section of the target important well, wherein the target important well is a logging curve important well other than the core-bearing key well.

[0075] In the embodiments of the present application, in order to facilitate description, the logging curve important well other than the core-bearing key well is referred to as a "target important well".

[0076] Since the target important well contains the logging curve parameters of the whole well section, according to the logging curve parameters of the whole well section of the target important well and the lithology type-logging curve relationship model, the lithology type distribution of the whole well section of the target important well can be identified. After obtaining the lithology type distribution of the whole well section of the target important well, the lithology proportion of each layer section of the target important well is determined according to the lithology type distribution of the whole well section of the target important well.

[0077] Step S106: The sedimentary facies / sedimentary subfacies-lithology proportion relationship model is applied to the core-bearing key well and the target important well to identify the sedimentary facies / sedimentary subfacies type of each layer section of the core-bearing key well and the target important well.

[0078] It can be understood that after obtaining the lithology proportion of each layer section of the core-bearing key well and the target important well in the above steps, the sedimentary facies / sedimentary subfacies type of each layer section of the core-bearing key well and the target important well can be further identified according to the lithology proportion and the sedimentary facies / sedimentary subfacies-lithology proportion relationship model. That is, the sedimentary facies / sedimentary subfacies type of each layer section of all the logging curve important wells is identified.

[0079] Step S107: According to the sedimentary facies / sedimentary subfacies type of each layer section of the core-bearing key well and the target important well, the paleogeographic environment of the study area is reconstructed.

[0080] In the embodiments of the present application, the core identification is combined with the logging data to establish a fine and continuous lithology profile of the non-cored section and well, and the paleogeographic environment is reconstructed according to the lithology proportion, so as to realize systematic and regional research on the less cored and scattered large area, improve the geological understanding, and promote the better progress of oil and gas exploration and development.

[0081] Corresponding to the above embodiments, the present application also provides a device for reconstructing the paleogeographic environment of a clastic rock stratum.

[0082] Referring to Figure 3 The device for reconstructing the paleogeographic environment of a clastic rock stratum provided in the present application has the structure diagram as shown in Figure 3 It mainly includes the following modules.

[0083] The important well and key well selection module 301 is used for selecting the logging curve important well in the study area, and the core-bearing key well in the logging curve important well;

[0084] The sampling data set acquisition module 302 is used for acquiring the sampling data set of the core-bearing key well, and the sampling data set includes the depth of the sampling point, the lithology type and the sedimentary facies / sedimentary subfacies type, and the logging curve parameters corresponding to the depth of the sampling point;

[0085] The relationship model establishing module 303 is configured to establish a lithology type-logging curve relationship model and a sedimentary facies / sedimentary subfacies-lithology proportion relationship model respectively by using a first sampling data subset in the sampling data set, the lithology type-logging curve relationship model is used to represent the corresponding relationship between the lithology type and the logging curve parameter, and the sedimentary facies / sedimentary subfacies-lithology proportion relationship model is used to represent the corresponding relationship between the sedimentary facies / sedimentary subfacies type and the lithology proportion;

[0086] The first lithology identifying module 304 is configured to apply the lithology type-logging curve relationship model to the core-bearing key well to identify the lithology type distribution of the whole well section of the core-bearing key well, and determine the lithology proportion of each layer section of the core-bearing key well according to the lithology type distribution of the whole well section of the core-bearing key well.

[0087] The second lithology identifying module 305 is configured to apply the lithology type-logging curve relationship model to the target important well to identify the lithology type of the whole well section of the target important well, and determine the lithology proportion of each layer section of the target important well according to the lithology type of the whole well section of the target important well, wherein the target important well is an important well with logging curve except the core-bearing key well.

[0088] The sedimentary facies / sedimentary subfacies identifying module 306 is configured to apply the sedimentary facies / sedimentary subfacies-lithology proportion relationship model to the core-bearing key well and the target important well to identify the sedimentary facies / sedimentary subfacies type of each layer section of the core-bearing key well and the target important well.

[0089] The paleogeographic environment reconstructing module 307 is configured to reconstruct the paleogeographic environment of the research area according to the sedimentary facies / sedimentary subfacies type of each layer section of the core-bearing key well and the target important well.

[0090] In the embodiments of the present application, the core identification is combined with the logging data to establish a fine and continuous lithology profile of the non-coring section and well, and the paleogeographic environment is reconstructed according to the lithology proportion, so that the systematic and regional research on the area with less and scattered coring is realized, the geological understanding is improved, and the oil and gas exploration and development work is better promoted.

[0091] It should be noted that the specific content involved in the embodiments of the present application can be referred to the description of the method embodiments, which will not be described here for the sake of brevity.

[0092] Corresponding to the above-mentioned embodiments, the embodiments of the present application also provide an electronic device.

[0093] Referring to Figure 4 The structure schematic diagram of an electronic device provided by the embodiments of the present application is shown in FIG. 1. Figure 4As shown, the electronic device 400 can include a processor 401, a memory 402 and a communication unit 403. These components communicate via one or more buses, and those skilled in the art can understand that the electronic device structure shown in the figure does not constitute a limitation on the embodiments of the present application, which can be a bus structure or a star structure, and can include more or fewer components than shown in the figure, or combine certain components, or have different component arrangements.

[0094] The communication unit 403 is configured to establish a communication channel, so that the electronic device can communicate with other devices.

[0095] The processor 401 is the control center of the electronic device, and connects various parts of the electronic device via various interfaces and lines, and performs various functions of the electronic device and / or processes data by running or executing software programs and / or modules stored in the memory 402 and calling data stored in the memory. The processor can be composed of an integrated circuit (IC), for example, it can be composed of a single packaged IC, or it can be composed of multiple packaged ICs connected together. For example, the processor 401 can only include a central processing unit (CPU). In the embodiments of the present application, the CPU can be a single operation core or can include multiple operation cores.

[0096] The memory 402 is configured to store execution instructions of the processor 401, and the memory 402 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk or optical disk.

[0097] When the execution instructions in the memory 402 are executed by the processor 401, the electronic device 400 can execute part or all of the steps in the above method embodiments.

[0098] Corresponding to the above embodiments, the present application also provides a computer readable storage medium, wherein the computer readable storage medium can store a program, and when the program runs, it can control the device where the computer readable storage medium is located to execute part or all of the steps in the above method embodiments. In specific implementations, the computer readable storage medium can be a magnetic disk, an optical disk, a read-only memory (ROM) or a random access memory (RAM), etc.

[0099] Corresponding to the above-mentioned embodiments, the embodiments of the present application also provide a computer program product, which contains executable instructions, when the executable instructions are executed on a computer, cause the computer to execute part or all steps of the above-mentioned method embodiments.

[0100] In the embodiments of the present application, "at least one" means one or more, and "multiple" means two or more. "And / or" describes the association relationship of the associated objects, which means that there can be three kinds of relationships, for example, A and / or B, which can represent the cases of A alone, A and B together, and B alone. Wherein A and B can be singular or plural. The character " / " generally represents that the associated objects before and after it are in an "or" relationship. "At least one of the following" and the like means any combination of these items, including any combination of single or multiple items. For example, at least one of a, b and c can represent: a, b, c, a-b, a-c, b-c, or a-b-c, where a, b, and c can be single or multiple.

[0101] Those skilled in the art can appreciate that the units and algorithm steps described in the embodiments disclosed herein can be realized by electronic hardware, computer software and combination of the electronic hardware and computer software. Whether the functions are realized in hardware or software mode depends on the specific application and design constraints of the technical solutions. The skilled person can use different methods to realize the described functions for each specific application, but such implementation should not be considered beyond the scope of the present application.

[0102] Those skilled in the art can clearly understand that, for the convenience and brevity of the description, the specific working processes of the above-mentioned system, device and unit can refer to the corresponding processes in the foregoing method embodiments, which will not be described here.

[0103] In several embodiments provided by the present application, any function realized in the form of a software function unit and sold or used as an independent product can be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the present application essentially or the parts of the technical solutions that make contributions to the prior art or the parts of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a storage medium, and includes a plurality of instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in the embodiments of the present application. The foregoing storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and various media that can store program codes.

[0104] The above description is only specific embodiments of the present application, any skilled in the art can easily think of changes or replacements within the technical scope disclosed in the present application, which should be covered in the protection scope of the present application. The protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. A method for reconstructing the paleogeographic environment of clastic rock strata, characterized in that, include: The study area was selected based on the presence of important wells with logging curves, as well as key wells containing core samples from among these important wells with logging curves. Obtain the sampling dataset of the key well containing the core. The sampling dataset includes the depth of the sampling point, lithological type and sedimentary facies / subfacies type, as well as the logging curve parameters corresponding to the depth of the sampling point. Using the first subset of sampled data in the sampled dataset, a lithology type-well logging curve relationship model and a sedimentary facies / subfacies-lithology ratio relationship model are established respectively. The lithology type-well logging curve relationship model is used to characterize the correspondence between lithology type and well logging curve parameters, and the sedimentary facies / subfacies-lithology ratio relationship model is used to characterize the correspondence between sedimentary facies / subfacies type and lithology ratio. The lithology type-logging curve relationship model is applied to the core-containing key well to identify the lithology type distribution of the entire well section and determine the lithology ratio of each layer of the core-containing key well based on the lithology type distribution of the entire well section. The lithology type-logging curve relationship model is applied to the target important well to identify the lithology type of the entire well section of the target important well, and the lithology ratio of each layer of the target important well is determined according to the lithology type of the entire well section of the target important well. The target important well is the important well containing logging curves other than the key well containing the core. The sedimentary facies / subfacies-lithology ratio model was applied to the core-bearing key well and the target important well to identify the sedimentary facies / subfacies types of each layer in the core-bearing key well and the target important well; Based on the sedimentary facies / subfacies types of each layer in the key core wells and the target important wells, the paleogeographic environment of the study area is reconstructed.

2. The method according to claim 1, characterized in that, The method further includes: The lithology type-logging curve relationship model was validated using a second subset of the sampled data set. If the accuracy of the verification result of the lithology type-well logging curve relationship model is less than the preset first accuracy threshold, the lithology type-well logging curve relationship model is optimized until the accuracy of the verification result of the lithology type-well logging curve relationship model is greater than or equal to the first accuracy threshold.

3. The method according to claim 1, characterized in that, The method further includes: The sedimentary facies / subfacies-lithology ratio model was validated using a second subset of the sampled dataset. If the accuracy of the verification result of the sedimentary facies / subfacies-lithology ratio model is less than the preset second accuracy threshold, the sedimentary facies / subfacies-lithology ratio model will be optimized until the accuracy of the verification result of the sedimentary facies / subfacies-lithology ratio model is greater than or equal to the second accuracy threshold.

4. The method according to claim 1, characterized in that, The selection criteria for the key core wells are as follows: It covers the target stratigraphic segment of the study area and includes representative or all lithological types and sedimentary facies / subfacies types of the target stratigraphic segment of the study area.

5. The method according to claim 1, characterized in that, The selection criteria for important wells containing logging curves are as follows: they must cover the target layer of the study area and contain the main logging curves, which include natural gamma logging curves, density logging curves, sonic transit time logging curves, and neutron logging curves.

6. The method according to claim 1, characterized in that, The lithological types include: coal seams, mudstone, and sandstone; the sedimentary facies / subfacies types include: distributary channels / estuary bars, coastal / breach fans, prodelta / interdistributary bays, open lakes, and coal marshes.

7. The method according to claim 1, characterized in that, The acquisition of the sampled dataset of the key well containing the core includes: Import the core description data of the key well containing the core and the logging curves of the important well containing the logging curves into the Petrel software; The Petrel software was used to sample data from the key well containing the core, resulting in a sampled dataset.

8. A device for reconstructing the paleogeographic environment of clastic rock strata, characterized in that, include: The important well and key well selection module is used to select important wells with logging curves in the study area, as well as key wells with core samples among the important wells with logging curves. The sampling dataset acquisition module is used to acquire the sampling dataset of the key well containing the core. The sampling dataset includes the depth of the sampling point, lithology type and sedimentary facies / subfacies type, as well as the logging curve parameters corresponding to the depth of the sampling point. The relational model building module is used to establish a lithology type-well logging curve relational model and a sedimentary facies / subfacies-lithology ratio relational model using the first sampled data subset in the sampled dataset. The lithology type-well logging curve relational model is used to characterize the correspondence between lithology type and well logging curve parameters, and the sedimentary facies / subfacies-lithology ratio relational model is used to characterize the correspondence between sedimentary facies / subfacies type and lithology ratio. The first lithology identification module is used to apply the lithology type-logging curve relationship model to the core-containing key well, identify the lithology type distribution of the entire well section of the core-containing key well, and determine the lithology proportion of each layer of the core-containing key well based on the lithology type distribution of the entire well section of the core-containing key well. The second lithology identification module is used to apply the lithology type-logging curve relationship model to the target important well, identify the lithology type of the entire well section of the target important well, and determine the lithology ratio of each layer of the target important well based on the lithology type of the entire well section of the target important well, wherein the target important well is an important well containing logging curves other than the key well containing the core. The sedimentary facies / subfacies identification module is used to apply the sedimentary facies / subfacies-lithology ratio model to the core-bearing key well and the target important well, and to identify the sedimentary facies / subfacies types of each layer in the core-bearing key well and the target important well; The paleogeographic environment reconstruction module is used to reconstruct the paleogeographic environment of the study area based on the sedimentary facies / subfacies types of each layer of the core-bearing key well and the target important well.

9. An electronic device, characterized in that, include: processor; Memory; And a computer program, wherein the computer program is stored in the memory, the computer program including instructions that, when executed by the processor, cause the electronic device to perform the method of any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium includes a stored program, wherein, when the program is executed, it controls the device on which the computer-readable storage medium is located to perform the method according to any one of claims 1 to 7.

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