Method and apparatus for characterizing architecture of carbonate reservoir

Abstract

A method for characterizing the architecture of a carbonate reservoir. The method comprises: on the basis of the genetic type of a carbonate reservoir, determining factors controlling the heterogeneity of the carbonate reservoir (101); characterizing the depositional architecture of carbonate rocks on the basis of drilling data, seismic data and the factors controlling heterogeneity (102); characterizing the diagenetic architecture of the carbonate rocks under the constraint of the characterization of the depositional architecture of the carbonate rocks and on the basis of the drilling data, the seismic data and the factors controlling heterogeneity (103); and characterizing the architecture of the carbonate reservoir on the basis of the geological facies of the carbonate reservoir in combination with the characterization results of the depositional architecture and the diagenetic architecture of the carbonate rocks, so as to obtain a characterization result of the architecture of the carbonate reservoir (104). The present invention further relates to an apparatus, a device, a readable storage medium and a program product for the characterization of the architecture of a carbonate reservoir.

Description

Characterization methods and apparatus for carbonate reservoir configuration

[0001] Related applications

[0002] This application claims Chinese Patent Application No. 202411920135.X, filed on December 24, 2024, and incorporates the disclosure of the aforementioned patent application as part of this application. Technical Field

[0003] This application relates to the field of carbonate reservoir technology, and in particular to methods and apparatus for characterizing carbonate reservoir configuration. Background Technology

[0004] This section is intended to provide background or context for the embodiments of this application set forth in the claims. The description herein is not an admission that it is prior art simply because it is included in this section.

[0005] Configuration, also known as building structure, refers to the shape, scale, orientation and stacking relationship of different levels of constituent units. It is an important means to understand the heterogeneity inside the reservoir, especially the seepage barrier and seepage difference, and is of great significance for optimizing development strategies and improving oil and gas recovery.

[0006] Unlike clastic sandstone formations, which correspond to specific reservoir configurations, carbonate reservoirs are complex in origin, controlled by both sedimentation and diagenesis. Existing methods for characterizing carbonate reservoir configurations fail to spatially couple sedimentary and diagenetic configurations, hindering their effective characterization. Therefore, a novel method for characterizing carbonate reservoir configurations is urgently needed to address these challenges. Summary of the Invention

[0007] This application provides a method for characterizing carbonate reservoir configurations to couple sedimentary and diagenetic configurations, laying the foundation for rationally formulating reservoir development plans. The method includes:

[0008] Based on the genetic type of carbonate reservoirs, determine the controlling factors of heterogeneity in carbonate reservoirs;

[0009] Carbonate rock sedimentary configurations were characterized based on drilling data, seismic data, and heterogeneous control factors.

[0010] Under the constraints of carbonate sedimentary architecture characterization, the diagenetic architecture of carbonate rocks is characterized based on drilling data, seismic data, and heterogeneous control factors.

[0011] Based on the geological facies of carbonate reservoirs, combined with the characterization results of carbonate sedimentary configuration and carbonate diagenetic configuration, the configuration of carbonate reservoirs is characterized to obtain the configuration characterization results of carbonate reservoirs. The geological facies of carbonate reservoirs are established by combining the sedimentary microfacies in the characterization results of carbonate sedimentary configuration with the diagenetic characteristics in the characterization results of carbonate diagenetic configuration.

[0012] This application also provides a characterization device for carbonate reservoir configuration, used to couple the sedimentary configuration and diagenetic configuration of carbonate rocks, laying the foundation for the rational formulation of reservoir development plans. The device includes:

[0013] The heterogeneity control factor determination module is used to determine the heterogeneity control factors of carbonate reservoirs based on their genetic type.

[0014] The sedimentary configuration characterization module is used to characterize the sedimentary configuration of carbonate rocks based on drilling data, seismic data, and heterogeneous control factors.

[0015] The diagenetic architecture characterization module is used to characterize the diagenetic architecture of carbonate rocks based on drilling data, seismic data, and heterogeneous control factors, under the constraints of carbonate sedimentary architecture characterization.

[0016] The reservoir configuration characterization module is used to characterize the carbonate reservoir configuration based on the geological facies of the carbonate reservoir, combined with the sedimentary configuration characterization results and the diagenetic configuration characterization results of the carbonate reservoir, and to obtain the carbonate reservoir configuration characterization results. The geological facies of the carbonate reservoir is established by combining the sedimentary microfacies in the carbonate sedimentary configuration characterization results with the diagenetic characteristics in the carbonate diagenetic configuration characterization results.

[0017] This application also provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the above-described method for characterizing carbonate reservoir configurations.

[0018] This application also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the above-described method for characterizing carbonate reservoir configurations.

[0019] This application also provides a computer program product, which includes a computer program that, when executed by a processor, implements the above-described method for characterizing carbonate reservoir configurations.

[0020] In this embodiment, the heterogeneity control factors of carbonate reservoirs are determined based on their genetic type. The sedimentary configuration of carbonate rocks is characterized using drilling data, seismic data, and these heterogeneous control factors. Under the constraints of the sedimentary configuration characterization, the diagenetic configuration of carbonate rocks is characterized based on drilling data, seismic data, and these heterogeneous control factors. Based on the geological facies of the carbonate reservoir, and combining the sedimentary configuration characterization results with the diagenetic configuration characterization results, the configuration of the carbonate reservoir is further characterized to obtain the final configuration result. The geological facies of the carbonate reservoir is established by combining the sedimentary microfacies from the sedimentary configuration characterization results with the diagenetic characteristics from the diagenetic configuration characterization results. In the above process, the embodiments of this application use geological facies as a bridge to achieve the coupling of carbonate sedimentary configuration and diagenetic configuration. By combining the characterization results of carbonate sedimentary configuration and carbonate diagenetic configuration, the carbonate reservoir configuration is characterized, thereby systematically determining the characteristics of carbonate reservoir configuration and laying the foundation for the rational formulation of reservoir development plans. Attached Figure Description

[0021] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort. In the drawings:

[0022] Figure 1 is a flowchart of the characterization method of carbonate reservoir configuration in the embodiments of this application;

[0023] Figure 2 is a flowchart of the characterization of carbonate sedimentary configuration in the embodiments of this application;

[0024] Figure 3 is a cross-sectional view of the sedimentary microfacies configuration under the sequence framework of the reservoir range in the embodiment of this application;

[0025] Figure 4 is a cross-sectional view of the depositional microphase configuration under the high-frequency sequence lattice in the embodiment of this application;

[0026] Figure 5 is a flowchart of the characterization of carbonate rock diagenetic architecture in the embodiments of this application;

[0027] Figure 6 is a flowchart of the characterization of carbonate reservoir configuration in the embodiments of this application;

[0028] Figure 7 is a geological facies profile diagram in an embodiment of this application;

[0029] Figure 8 is a cross-sectional view of the carbonate reservoir configuration in an embodiment of this application;

[0030] Figure 9 is a schematic diagram of the characterization device for carbonate reservoir configuration in an embodiment of this application. Detailed Implementation

[0031] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the embodiments of this application will be further described in detail below with reference to the accompanying drawings. Here, the illustrative embodiments and descriptions of this application are used to explain this application, but are not intended to limit this application.

[0032] Figure 1 is a flowchart of the characterization method for carbonate reservoir configuration in an embodiment of this application. The method includes:

[0033] Step 101: Determine the heterogeneity control factors of carbonate reservoirs based on their genetic type.

[0034] Step 102: Characterize the sedimentary configuration of carbonate rocks based on drilling data, seismic data, and heterogeneity control factors;

[0035] Step 103: Under the constraints of carbonate sedimentary architecture characterization, characterize the diagenetic architecture of carbonate rocks based on drilling data, seismic data, and diagenetic control factors;

[0036] Step 104: Based on the geological facies of the carbonate reservoir, and combining the characterization results of the sedimentary configuration and the diagenetic configuration of the carbonate rocks, the configuration of the carbonate reservoir is characterized to obtain the characterization results of the carbonate reservoir configuration. The geological facies of the carbonate reservoir is established by combining the sedimentary microfacies in the characterization results of the sedimentary configuration with the diagenetic characteristics in the characterization results of the diagenetic configuration.

[0037] Each step is explained in detail below.

[0038] In step 101, the heterogeneity control factors of carbonate reservoirs are determined based on the genetic type of the carbonate reservoir.

[0039] In a specific embodiment, the reservoir genetic type is determined based on the reservoir rock type, pore type, and physical property distribution characteristics of the carbonate rock, and the reservoir heterogeneity control factors are determined based on the reservoir genetic type; the heterogeneity control factors include: sedimentary facies, lithofacies, diagenesis, faults, and unconformities.

[0040] In step 102, the sedimentary configuration of carbonate rocks is characterized based on drilling data, seismic data, and heterogeneity control factors.

[0041] Figure 2 is a flowchart illustrating the characterization of carbonate sedimentary configurations in an embodiment of this application. In one embodiment, the characterization of carbonate sedimentary configurations is performed based on drilling data, seismic data, and heterogeneous control factors, including:

[0042] Step 201: Based on drilling data and seismic data, determine the sequence stratigraphic framework and stacking pattern of carbonate rocks;

[0043] Step 202: Based on the sequence stratigraphic framework and superposition pattern, establish a sedimentary microfacies configuration profile under the sequence stratigraphic framework, and characterize the sedimentary configuration of carbonate rocks based on the sedimentary microfacies configuration profile under the sequence stratigraphic framework.

[0044] In a specific embodiment, by combining drilling data and seismic data, the platform type and location of the carbonate rocks are determined, as well as the sedimentary microfacies type, sequence stratigraphic framework, and superposition pattern of the carbonate rocks. A sedimentary microfacies configuration profile under the sequence stratigraphic framework within the reservoir area is established; a sedimentary microfacies configuration profile under the high-frequency sequence stratigraphic framework at the well group scale is established; and the sedimentary configuration of the carbonate rocks is characterized based on the sedimentary microfacies configuration profiles under the sequence stratigraphic framework and the high-frequency sequence stratigraphic framework. Figure 3 is a sedimentary microfacies configuration profile under the sequence stratigraphic framework within the reservoir area in this embodiment, and Figure 4 is a sedimentary microfacies configuration profile under the high-frequency sequence stratigraphic framework in this embodiment. It should be noted that the drilling data is data collected by drilling rigs until the target carbonate rock formation is reached. This drilling data is acquired, for example, based on logging instruments and / or sensors, and is sent to a server for further processing. Seismic data is obtained through seismic exploration, specifically by utilizing the propagation and reflection characteristics of seismic waves underground. This seismic data is acquired, for example, based on seismic receivers, and then sent to a server for further processing.

[0045] Specifically, platform types include open platforms, semi-restricted platforms, restricted platforms, isolated platforms, and gentle slopes; the location of the platform includes platform edges, platform interiors, middle and gentle slopes, and inner and outer gentle slopes; sedimentary microfacies types are mainly divided into two categories: low-energy sediments and high-energy sediments. Low-energy sediments include subtidal, lagoon, swamp, and tidal flat facies; high-energy sediments include grain shoals, tidal channels, bioherms, and tidal deltas; low-energy sedimentary microfacies types are identified by rock type and biological assemblage, and are characterized by high natural gamma values; in high-energy sediments, grain shoals exhibit an upward coarsening lithological fabric cycle, with natural gamma values ​​decreasing upwards and resistivity increasing upwards within the oil layer; in high-energy sediments, tidal... The lithological fabric exhibits a cyclical characteristic of tapering upwards, with natural gamma rays increasing upwards and resistivity decreasing upwards within the oil reservoir. In high-energy sediments, bioherms develop typical in-situ reef-building organisms, and well logging curves show a box-shaped pattern. In high-energy sediments, tidal deltas exhibit a cyclical characteristic of coarsening upwards and then tapering, with natural gamma rays decreasing upwards and increasing at the top. The sequence stratigraphic framework refers to the third-order and fourth-order sequence stratigraphic frameworks. Determining the third-order sequence type identifies the lowstand systems tract, transgressive systems tract, and highstand systems tract, thus defining the stratigraphic superposition framework. The third-order sequence types include Type I and Type II third-order sequences. Type I third-order sequences have a long top surface exposure time, high dissolution intensity, and lowstand tracts developed within the basin-slope range.

[0046] Specifically, establishing sedimentary configuration comparison profiles within the reservoir-wide sequence stratigraphy framework includes: selecting well-seismic superimposed profiles across the reservoir range, perpendicular to the direction of strip-shaped sedimentary facies; performing sequence stratigraphic interpretation on the profiles using a combination of well and seismic data; comparing and connecting high-energy sedimentary facies between wells based on single-well sedimentary facies calibration and referring to seismic response characteristics; enveloping high-energy sedimentary facies that overlap, cut, or connect with each other, such as grain shoals-bioherms and tidal channels-grain shoals; and establishing sedimentary microfacies configuration comparison profiles at the well group scale within the high-frequency sequence stratigraphy framework. This refers to selecting typical well groups based on the reservoir sedimentary configuration comparison profiles and performing comparison profiles of the internal structure of sedimentary configurations within the high-frequency sequence stratigraphy framework, including: designing a cross-section within the well group; and identifying and comparing the internal structure of sedimentary configurations using a combination of well and seismic data on a single profile. The cross-section design within the well group includes regular cross-sections of sheet-like sedimentary configurations and cross-sections of non-sheet-like sedimentary configurations, such as tidal channels. Sheet-like sedimentary structures include grain shoals, bioherms, and tidal deltas; non-sheet-like sedimentary configurations include tidal channels. A grid-like profile design ensures that two profiles cut through the tidal channel, providing a more comprehensive depiction of its internal structure. The identification and comparison of internal structures of sedimentary configurations using a combination of well and seismic analysis on a single profile refers to the spatial dissection of the internal structure of sedimentary configurations based on the understanding of the internal cyclic structure on a single well columnar section, using structural information revealed by reflection coefficient profiles and inversion profiles between wells.

[0047] In step 103, under the constraints of carbonate sedimentary configuration characterization, the diagenetic configuration of carbonate rocks is characterized based on drilling data, seismic data, and diagenetic control factors.

[0048] Figure 5 is a flowchart illustrating the characterization of carbonate rock diagenetic architecture in an embodiment of this application. In one embodiment, under the constraints of carbonate rock sedimentary architecture characterization, the characterization of carbonate rock diagenetic architecture is performed based on drilling data, seismic data, and diagenetic control factors, including:

[0049] Step 501: Under the constraints of carbonate sedimentary architecture characterization, determine the diagenetic types that affect the quality of carbonate reservoirs based on drilling and seismic data; diagenetic types include dissolution and cementation.

[0050] Step 502: Based on the type of diagenesis, determine the fitting relationship between dissolution intensity and well logging curve, and the fitting relationship between cementation strength and well logging curve, respectively.

[0051] Step 503: Determine the porosity under dissolution by using the fitting relationship between dissolution intensity and well logging curves; determine the porosity under cementation by using the fitting relationship between cementation strength and well logging curves.

[0052] Step 504: Characterize the diagenetic architecture of carbonate rocks based on the porosity under different diagenetic processes.

[0053] In a specific embodiment, the key diagenetic processes affecting reservoir quality are identified, and the dissolution intensity is semi-quantitatively characterized based on rock electrical analysis, while the cementation process is spatially characterized based on rock electrical analysis. In this embodiment, the key diagenetic processes affecting reservoir quality include dissolution and cementation.

[0054] Semi-quantitative characterization of dissolution intensity based on rock electrical analysis includes: dissolution intensity samples determined by the degree of secondary porosity development in thin sections; fitting of the relationship between dissolution intensity after thin section repositioning and well logging curve values; identification of well logging dissolution intensity under single-well calibration; and inter-well comparison of single-well dissolution zones assisted by seismic inversion data. Secondary porosity in thin sections includes: casting pores, dissolution cavities, and solution fractures. Dissolution intensity determined by the degree of secondary porosity development includes: strong dissolution, moderate dissolution, weak dissolution, and no dissolution.

[0055] Specifically, strong dissolution refers to a porosity greater than 20% and secondary pore volume accounting for more than 70%; moderate dissolution refers to a porosity greater than 15% and secondary pore volume accounting for more than 50%; and porosity of 8-15% with secondary pore volume accounting for more than 70%; weak dissolution refers to a porosity of 8-15% with secondary pore volume accounting for 30-50%; and no dissolution refers to a porosity of less than 8% and secondary pore volume accounting for less than 30%.

[0056] Fitting the relationship between dissolution intensity and logging curve values ​​after thin-section repositioning refers to fitting the relationship between the dissolution intensity identified based on the thin-section library and the logging curve values ​​at the corresponding depth. The logging curves include natural gamma ray (GR), acoustic (AC), density (DEN), compensated dual-spacing neutron log (CNL), and resistivity (oil layer). A formula for identifying dissolution intensity based on logging is established. Single-well calibration-based identification of logging dissolution intensity involves identifying the logging dissolution intensity in non-core wells and non-core sections based on the calibrated dissolution intensity identified from single-well samples.

[0057] Spatial characterization of cementation based on rock electrical analysis includes: identification of cementation types affecting reservoir structure; and the types of cementation affecting reservoir structure, including hard-base sections of grainy marl and cemented dense grainy limestone. The development patterns of different types of cementation are determined, and cementation strength is assessed. For example, hard-base sections of grainy marl are mainly developed in lagoons and subtidal sections, while cemented dense grainy limestone develops within shoal bodies. Well logging identification markers are determined by identifying cemented sections in the core and then mapping them to well logging curves. For example, the identification marker for hard-base sections of grainy marl is a low-GR trough in a high-GR background, while simultaneously exhibiting a high-density peak in a low-density background; cemented dense grainy limestone exhibits low GR and high density.

[0058] In step 104, based on the geological facies of the carbonate reservoir, combined with the characterization results of the sedimentary configuration and the diagenetic configuration of the carbonate rocks, the configuration of the carbonate reservoir is characterized to obtain the characterization results of the carbonate reservoir configuration. The geological facies of the carbonate reservoir is established by combining the sedimentary microfacies in the characterization results of the sedimentary configuration with the diagenetic characteristics in the characterization results of the diagenetic configuration.

[0059] Figure 6 is a flowchart illustrating the characterization of carbonate reservoir configuration in an embodiment of this application. In one embodiment, based on the geological facies of the carbonate reservoir, combined with the characterization results of carbonate sedimentary configuration and carbonate diagenetic configuration, the carbonate reservoir configuration is characterized, including:

[0060] Step 601: Based on the characterization results of the sedimentary configuration of carbonate rocks, establish a sedimentary microfacies configuration profile; based on the characterization results of the diagenetic configuration of carbonate rocks, establish a diagenetic configuration profile.

[0061] Step 602: Based on the geological facies of the carbonate reservoir, combine the sedimentary microfacies profile with the diagenetic profile to establish a geological facies profile;

[0062] Step 603: Obtain the carbonate reservoir configuration profile based on the geological facies profile, and characterize the carbonate reservoir configuration based on the carbonate reservoir configuration profile.

[0063] Figure 7 shows a geological facies profile in an embodiment of this application. In a specific embodiment, the geological facies is established by combining sedimentary microfacies and diagenetic facies. This involves combining sedimentary microfacies profiles with diagenetic profiles to create a geological facies profile, specifically by combining sedimentary microfacies profiles with dissolution and cementation zones to convert them into a geological facies profile. A carbonate reservoir configuration profile is obtained based on this geological facies profile. Figure 8 shows a carbonate reservoir configuration profile in an embodiment of this application. The carbonate reservoir configuration is characterized based on this profile. Verification of the carbonate reservoir configuration is then performed, including: evaluating the connectivity of reservoir units in the profile from a static perspective based on the contact and superposition relationships of reservoir facies such as grain shoals and tidal channels. The connectivity is categorized as good, moderate, or weak. Furthermore, after obtaining the characterization results of the carbonate reservoir configuration, the interaction between the server and the display device can be used to display the characterization results on the screen of the display device, so that users can view the architectural structure of the carbonate reservoir, thereby optimizing oil and gas field development strategies and improving oil and gas recovery rates.

[0064] This application also provides a characterization device for carbonate reservoir configuration, as described in the following embodiments. Since the principle behind this device is similar to the characterization method for carbonate reservoir configuration, its implementation can be referenced from the implementation of the characterization method for carbonate reservoir configuration; repeated details will not be elaborated further.

[0065] Figure 9 is a schematic diagram of the characterization device for carbonate reservoir configuration in an embodiment of this application. The device includes:

[0066] The heterogeneity control factor determination module 901 is used to determine the heterogeneity control factors of carbonate reservoirs based on the genetic type of carbonate reservoirs.

[0067] The sedimentary configuration characterization module 902 is used to characterize the sedimentary configuration of carbonate rocks based on drilling data, seismic data, and heterogeneous control factors.

[0068] The diagenetic configuration characterization module 903 is used to characterize the diagenetic configuration of carbonate rocks based on drilling data, seismic data, and heterogeneous control factors, under the constraints of carbonate sedimentary configuration characterization.

[0069] The reservoir configuration characterization module 904 is used to characterize the carbonate reservoir configuration based on the geological facies of the carbonate reservoir, combined with the sedimentary configuration characterization results and the diagenetic configuration characterization results of the carbonate reservoir, and to obtain the carbonate reservoir configuration characterization results. The geological facies of the carbonate reservoir is established by combining the sedimentary microfacies in the carbonate sedimentary configuration characterization results with the diagenetic characteristics in the carbonate diagenetic configuration characterization results.

[0070] In one embodiment, the deposition configuration characterization module 902 is specifically used for:

[0071] Based on drilling data, seismic data, and heterogeneity control factors, the sequence stratigraphic framework and stacking pattern of carbonate rocks were determined.

[0072] Based on the sequence stratigraphic framework and superposition pattern, sedimentary microfacies profiles under the sequence stratigraphic framework are established, and carbonate sedimentary configurations are characterized based on the sedimentary microfacies profiles under the sequence stratigraphic framework.

[0073] In one embodiment, the diagenetic architecture characterization module 903 is specifically used for:

[0074] Under the constraints of carbonate sedimentary architecture characterization, based on drilling and seismic data, the types of diagenesis affecting carbonate reservoir quality are determined; the types of diagenesis include dissolution and cementation.

[0075] Based on the type of diagenesis, the fitting relationship between dissolution intensity and well logging curves, and the fitting relationship between cementation strength and well logging curves were determined respectively.

[0076] The porosity under dissolution was determined by fitting the relationship between dissolution intensity and well logging curves; the porosity under cementation was determined by fitting the relationship between cementation strength and well logging curves.

[0077] Characterization of carbonate rock diagenetic architecture based on porosity under different diagenetic processes.

[0078] In one embodiment, the reservoir configuration characterization module 904 is specifically used for:

[0079] Based on the characterization results of carbonate rock sedimentary architecture, sedimentary microfacies profiles were established; based on the characterization results of carbonate rock diagenetic architecture, diagenetic profiles were established.

[0080] Based on the geological facies of carbonate reservoirs, geological facies profiles are established by combining sedimentary microfacies configuration profiles with diagenetic configuration profiles.

[0081] Carbonate reservoir configuration profiles are obtained from geological facies profiles, and carbonate reservoir configurations are characterized based on these profiles.

[0082] This application also provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the above-mentioned method for characterizing carbonate reservoir configuration.

[0083] This application also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the above-described method for characterizing carbonate reservoir configurations.

[0084] This application also provides a computer program product, which includes a computer program that, when executed by a processor, implements the above-described method for characterizing carbonate reservoir configurations.

[0085] In this embodiment, the heterogeneity control factors of carbonate reservoirs are determined based on their genetic type. The sedimentary configuration of carbonate rocks is characterized using drilling data, seismic data, and these heterogeneous control factors. Under the constraints of the sedimentary configuration characterization, the diagenetic configuration of carbonate rocks is characterized based on drilling data, seismic data, and these heterogeneous control factors. Based on the geological facies of the carbonate reservoir, and combining the sedimentary configuration characterization results with the diagenetic configuration characterization results, the configuration of the carbonate reservoir is further characterized to obtain the final configuration result. The geological facies of the carbonate reservoir is established by combining the sedimentary microfacies from the sedimentary configuration characterization results with the diagenetic characteristics from the diagenetic configuration characterization results. In the above process, the embodiments of this application use geological facies as a bridge to achieve the coupling of carbonate sedimentary configuration and diagenetic configuration. By combining the characterization results of carbonate sedimentary configuration and carbonate diagenetic configuration, the carbonate reservoir configuration is characterized, thereby systematically determining the characteristics of carbonate reservoir configuration and laying the foundation for the rational formulation of reservoir development plans.

[0086] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0087] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in one or more flowchart illustrations and / or one or more block diagrams.

[0088] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means that implement the functions specified in one or more flowcharts and / or one or more block diagrams.

[0089] These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process, such that the instructions, which execute on the computer or other programmable apparatus, provide steps for implementing the functions specified in one or more flowcharts and / or one or more block diagrams.

[0090] The specific embodiments described above further illustrate the purpose, technical solution, and beneficial effects of this application. It should be understood that the above descriptions are merely specific embodiments of this application and are not intended to limit the scope of protection of this application. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of protection of this application.

Claims

1. A method for characterizing the configuration of carbonate reservoirs, characterized in that, include: Based on the genetic type of carbonate reservoirs, determine the controlling factors of heterogeneity in carbonate reservoirs; Carbonate rock sedimentary configurations were characterized based on drilling data, seismic data, and heterogeneous control factors. Under the constraints of carbonate sedimentary architecture characterization, the diagenetic architecture of carbonate rocks is characterized based on drilling data, seismic data, and heterogeneous control factors. Based on the geological facies of carbonate reservoirs, combined with the characterization results of carbonate sedimentary configuration and carbonate diagenetic configuration, the configuration of carbonate reservoirs is characterized to obtain the configuration characterization results of carbonate reservoirs. The geological facies of carbonate reservoirs are established by combining the sedimentary microfacies in the characterization results of carbonate sedimentary configuration with the diagenetic characteristics in the characterization results of carbonate diagenetic configuration.

2. The method as described in claim 1, characterized in that, Carbonate sedimentary configurations were characterized based on drilling data, seismic data, and heterogeneous control factors, including: Based on drilling data, seismic data, and heterogeneity control factors, the sequence stratigraphic framework and stacking pattern of carbonate rocks were determined. Based on the sequence stratigraphic framework and superposition pattern, sedimentary microfacies profiles under the sequence stratigraphic framework are established, and carbonate sedimentary configurations are characterized based on the sedimentary microfacies profiles under the sequence stratigraphic framework.

3. The method as described in claim 1, characterized in that, Under the constraints of carbonate sedimentary architecture characterization, the diagenetic architecture of carbonate rocks is characterized based on drilling data, seismic data, and heterogeneity control factors, including: Under the constraints of carbonate sedimentary architecture characterization, based on drilling and seismic data, the types of diagenesis affecting carbonate reservoir quality are determined; the types of diagenesis include dissolution and cementation. Based on the type of diagenesis, the fitting relationship between dissolution intensity and well logging curves, and the fitting relationship between cementation strength and well logging curves were determined respectively. The porosity under dissolution was determined by fitting the relationship between dissolution intensity and well logging curves; the porosity under cementation was determined by fitting the relationship between cementation strength and well logging curves. Characterization of carbonate rock diagenetic architecture based on porosity under different diagenetic processes.

4. The method as described in claim 1, characterized in that, Based on the geological facies of carbonate reservoirs, combined with the characterization results of carbonate sedimentary and diagenetic configurations, the configuration of carbonate reservoirs is characterized, including: Based on the characterization results of carbonate rock sedimentary architecture, sedimentary microfacies profiles were established; based on the characterization results of carbonate rock diagenetic architecture, diagenetic profiles were established. Based on the geological facies of carbonate reservoirs, geological facies profiles are established by combining sedimentary microfacies configuration profiles with diagenetic configuration profiles. Carbonate reservoir configuration profiles are obtained from geological facies profiles, and carbonate reservoir configurations are characterized based on these profiles.

5. A characterization device for carbonate reservoir configuration, characterized in that, include: The heterogeneity control factor determination module is used to determine the heterogeneity control factors of carbonate reservoirs based on their genetic type. The sedimentary configuration characterization module is used to characterize the sedimentary configuration of carbonate rocks based on drilling data, seismic data, and heterogeneous control factors. The diagenetic architecture characterization module is used to characterize the diagenetic architecture of carbonate rocks based on drilling data, seismic data, and heterogeneous control factors, under the constraints of carbonate sedimentary architecture characterization. The reservoir configuration characterization module is used to characterize the carbonate reservoir configuration based on the geological facies of the carbonate reservoir, combined with the sedimentary configuration characterization results and the diagenetic configuration characterization results of the carbonate reservoir, and to obtain the carbonate reservoir configuration characterization results. The geological facies of the carbonate reservoir is established by combining the sedimentary microfacies in the carbonate sedimentary configuration characterization results with the diagenetic characteristics in the carbonate diagenetic configuration characterization results.

6. The apparatus as claimed in claim 5, characterized in that, The sedimentary configuration characterization module is specifically used for: Based on drilling data, seismic data, and heterogeneity control factors, the sequence stratigraphic framework and stacking pattern of carbonate rocks were determined. Based on the sequence stratigraphic framework and superposition pattern, sedimentary microfacies profiles under the sequence stratigraphic framework are established, and carbonate sedimentary configurations are characterized based on the sedimentary microfacies profiles under the sequence stratigraphic framework.

7. The apparatus as claimed in claim 5, characterized in that, The diagenetic architecture characterization module is specifically used for: Under the constraints of carbonate sedimentary architecture characterization, based on drilling and seismic data, the types of diagenesis affecting carbonate reservoir quality are determined; the types of diagenesis include dissolution and cementation. Based on the type of diagenesis, the fitting relationship between dissolution intensity and well logging curves, and the fitting relationship between cementation strength and well logging curves were determined respectively. The porosity under dissolution was determined by fitting the relationship between dissolution intensity and well logging curves; the porosity under cementation was determined by fitting the relationship between cementation strength and well logging curves. Characterization of carbonate rock diagenetic architecture based on porosity under different diagenetic processes.

8. The apparatus as claimed in claim 5, characterized in that, The reservoir configuration characterization module is specifically used for: Based on the characterization results of carbonate rock sedimentary architecture, sedimentary microfacies profiles were established; based on the characterization results of carbonate rock diagenetic architecture, diagenetic profiles were established. Based on the geological facies of carbonate reservoirs, geological facies profiles are established by combining sedimentary microfacies configuration profiles with diagenetic configuration profiles. Carbonate reservoir configuration profiles are obtained from geological facies profiles, and carbonate reservoir configurations are characterized based on these profiles.

9. A computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the method of any one of claims 1 to 4.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, implements the method of any one of claims 1 to 4.

11. A computer program product, characterized in that, The computer program product includes a computer program that, when executed by a processor, implements the method of any one of claims 1 to 4.

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