Carbonate fractured-vuggy reservoir body modeling method and device, storage medium and processor

Abstract

The invention relates to the field of oil and gas resource exploration and development, and discloses a carbonate fractured-vuggy reservoir body modeling method and device, a storage medium and a processor, and the method comprises the steps: explaining a reservoir body corresponding to a first single well in a target area, and obtaining a hierarchical division result of the reservoir body corresponding to the first single well; performing three-dimensional structure analysis to obtain a three-dimensional geologic model corresponding to a strike-slip fracture fracture zone reservoir body in a hierarchical division result; and establishing three-dimensional geologic models corresponding to the rest of the reservoir bodies in the hierarchical division result, and fusing the three-dimensional geologic models corresponding to the reservoir bodies in the hierarchical division result to obtain the three-dimensional geologic model of the carbonate fractured-vuggy reservoir body corresponding to the first single well. According to the scheme provided by the embodiment of the invention, the presentation of the characteristics of the grid-cluster-shaped reservoir structure in the three-dimensional geologic model can be enhanced and refined, so that better modeling can be carried out aiming at the carbonate rock fault control grid-cluster-shaped structure fracture-cavity reservoir body.

Description

Technical Field

[0001] This invention relates to the field of oil and gas resource exploration and development technology, specifically to a method for modeling carbonate fracture-cavity-reservoir aggregates, a device for modeling carbonate fracture-cavity-reservoir aggregates, a machine-readable storage medium, and a processor. Background Technology

[0002] Fault-controlled fracture-vuggy carbonate reservoirs are a relatively special type of carbonate reservoir. Their reservoir distribution is significantly different from that of diagenetic fracture-vuggy carbonate reservoirs. They are characterized by tectonic dominance, deep burial, complex spatial distribution, and strong heterogeneity.

[0003] Currently, there are many studies on diagenetic fracture-cavity carbonate reservoirs. The modeling methods mainly include hierarchical modeling with geological model constraints and seismic reflection feature classification as key means, dynamic and static multi-model combined constraint modeling, deterministic and stochastic simulation fusion modeling based on karst model, and multi-point geostatistical stochastic modeling based on reservoir development structure training images.

[0004] Fault-controlled fracture-vuggy carbonate reservoirs are more complex than diagenetic fracture-vuggy carbonate reservoirs. Reservoir development is no longer primarily controlled by karst, but is more significantly influenced by strike-slip faults. Complex variations in regional tectonic settings also lead to complex reservoir development and distribution characteristics in some fault-controlled fracture-vuggy carbonate areas, exhibiting both typical strike-slip fault "core zone" reservoir structures and more complex "cluster-like" reservoir structures. However, current geological modeling techniques for these fault-controlled fracture-vuggy "cluster-like" reservoir structures are still in their early stages of development, and feasible modeling methods have not yet been established. Summary of the Invention

[0005] The purpose of this invention is to overcome the problem of the lack of a modeling method for fracture-cavity reservoirs with "cluster-like" fracture-control structure in carbonate rocks in the prior art, and to provide a modeling method, device, storage medium and processor for fracture-cavity reservoirs in carbonate rocks.

[0006] To achieve the above objectives, a first aspect of the present invention provides a method for modeling carbonate rock fracture-cavity reservoirs, comprising:

[0007] Based on geological data, the development level of the reservoir corresponding to the first single well in the target area and the target reservoir structure in the reservoir corresponding to the first single well are interpreted to obtain the hierarchical division result of the reservoir corresponding to the first single well. In the hierarchical division result, the first-level reservoir is a strike-slip fault fracture zone reservoir.

[0008] Three-dimensional structural analysis was performed based on seismic data to obtain a three-dimensional geological model corresponding to the first-level reservoir.

[0009] predicting spatial distribution of the remaining hierarchical reservoirs in the hierarchical division result, and establishing three-dimensional geological models corresponding to the remaining hierarchical reservoirs respectively;

[0010] fusing the three-dimensional geological models corresponding to the remaining hierarchical reservoirs and the three-dimensional geological model corresponding to the first hierarchical reservoir to obtain a three-dimensional geological model of the carbonate fracture-cave reservoir corresponding to the first single well.

[0011] In the embodiment of the present application, the three-dimensional structure analysis according to the seismic data to obtain the three-dimensional geological model corresponding to the first hierarchical reservoir comprises:

[0012] performing three-dimensional interpretation of a main strike-slip fault surface according to the seismic data;

[0013] based on the three-dimensional interpretation of the main strike-slip fault surface, using the seismic response attribute of the first scale fault to obtain the three-dimensional geological model corresponding to the first hierarchical reservoir.

[0014] In the embodiment of the present application, after the three-dimensional structure analysis according to the seismic data to obtain the three-dimensional geological model corresponding to the first hierarchical reservoir, the modeling method further comprises:

[0015] using the strike-slip fault fracture development mode and the target fault response attribute to depict a fracture zone in the three-dimensional geological model corresponding to the first hierarchical reservoir to obtain a three-dimensional geological model of the fracture zone reservoir corresponding to the first hierarchical reservoir;

[0016] the fusion of the three-dimensional geological models corresponding to the remaining hierarchical reservoirs and the three-dimensional geological model corresponding to the first hierarchical reservoir comprises:

[0017] fusing the three-dimensional geological models corresponding to the remaining hierarchical reservoirs and the three-dimensional geological model of the fracture zone reservoir corresponding to the first hierarchical reservoir.

[0018] In the embodiment of the present application, after the fusion of the three-dimensional geological models corresponding to the remaining hierarchical reservoirs and the three-dimensional geological model of the fracture zone reservoir corresponding to the first hierarchical reservoir, the modeling method further comprises:

[0019] optimizing and adjusting the three-dimensional geological models corresponding to the remaining hierarchical reservoirs and the three-dimensional geological model of the fracture zone reservoir corresponding to the first hierarchical reservoir.

[0020] In the embodiment of the present application, after the optimization and adjustment of the three-dimensional geological models corresponding to the remaining hierarchical reservoirs and the three-dimensional geological model of the fracture zone reservoir corresponding to the first hierarchical reservoir, the modeling method further comprises:

[0021] obtain a three-dimensional geological model of the carbonate rock fracture-cave reservoir corresponding to the target region by obtaining three-dimensional geological models of carbonate rock fracture-cave reservoirs corresponding to each of the remaining single wells in the target region, and fusing the three-dimensional geological models of the carbonate rock fracture-cave reservoirs corresponding to each of the remaining single wells and the three-dimensional geological model of the carbonate rock fracture-cave reservoir corresponding to the first single well.

[0022] In the embodiment of the present application, the geological data includes at least one of drilling data, logging data, well logging data, core observation data, and formation multi-response attribute data.

[0023] The second aspect of the present application provides a carbonate rock fracture-cave reservoir modeling device, comprising:

[0024] The hierarchical division module is configured to interpret the development hierarchy of the reservoir corresponding to the first single well in the target region and the target reservoir structure in the reservoir corresponding to the first single well based on the geological data, and obtain a hierarchical division result of the reservoir corresponding to the first single well, wherein the first hierarchical reservoir is a strike-slip fault fracture zone reservoir.

[0025] The reservoir geological model establishing module is configured to perform three-dimensional structure analysis according to the seismic data to obtain a three-dimensional geological model corresponding to the first hierarchical reservoir, and predict the spatial distribution of the remaining hierarchical reservoirs in the hierarchical division result to establish three-dimensional geological models corresponding to the remaining hierarchical reservoirs, respectively.

[0026] The fusion module is configured to fuse the three-dimensional geological models corresponding to the remaining hierarchical reservoirs and the three-dimensional geological model corresponding to the first hierarchical reservoir to obtain a three-dimensional geological model of the carbonate rock fracture-cave reservoir corresponding to the first single well.

[0027] In the embodiment of the present application, the fusion module is further configured to obtain three-dimensional geological models of carbonate rock fracture-cave reservoirs corresponding to each of the remaining single wells in the target region, fuse the three-dimensional geological models of the carbonate rock fracture-cave reservoirs corresponding to each of the remaining single wells and the three-dimensional geological model of the carbonate rock fracture-cave reservoir corresponding to the first single well, and obtain a three-dimensional geological model of the carbonate rock fracture-cave reservoir corresponding to the target region.

[0028] The third aspect of the present application provides a processor configured to perform the carbonate rock fracture-cave reservoir modeling method described above.

[0029] The fourth aspect of the present application provides a machine-readable storage medium having instructions stored thereon, which, when executed by a processor, cause the processor to be configured to perform the carbonate rock fracture-cave reservoir modeling method described above.

[0030] By the technical solution, the development level of the first single-well corresponding reservoir and the target reservoir structure in the first single-well corresponding reservoir in the target area are interpreted based on the geological data, and a level division result of the first single-well corresponding reservoir is obtained. In the level division result, the first-level reservoir is a strike-slip fracture belt reservoir. A three-dimensional geological model corresponding to the first-level reservoir is obtained by three-dimensional structure analysis based on the seismic data. The spatial distribution of the remaining reservoirs in the level division result is predicted, and a three-dimensional geological model corresponding to each of the remaining reservoirs is established. The three-dimensional geological models corresponding to the remaining reservoirs and the three-dimensional geological model corresponding to the first-level reservoir are fused to obtain a three-dimensional geological model of the carbonate rock fracture-cave reservoir corresponding to the first single well. Based on the modeling method provided in the embodiments of the present application, the "grid-cluster" reservoir structure characteristics can be better presented in the three-dimensional geological model, and the model level of the fracture-cave reservoir of the "grid-cluster" structure controlled by faults can be refined to reveal the internal structure of the reservoir. Therefore, based on the modeling method provided in the embodiments of the present application, the carbonate rock fracture-cave reservoir of the "grid-cluster" structure controlled by faults can be better modeled.

[0031] Other features and advantages of the embodiments of the present application will be described in detail in the following specific embodiments. BRIEF DESCRIPTION OF DRAWINGS

[0032] The accompanying drawings are included to provide a further understanding of the embodiments of the present application, and constitute a part of the specification, and are used together with the following specific embodiments to explain the embodiments of the present application, but do not constitute a limitation on the embodiments of the present application. In the drawings:

[0033] Figure 1 A flowchart of a carbonate rock fracture-cave reservoir modeling method according to an embodiment of the present application is schematically shown;

[0034] Figure 2 A flowchart of another carbonate rock fracture-cave reservoir modeling method according to an embodiment of the present application is schematically shown;

[0035] Figure 3 A structural analysis diagram of a single well profile according to an embodiment of the present application is schematically shown;

[0036] Figure 4a A core observation diagram of a second-level reservoir according to an embodiment of the present application is schematically shown, Figure 4b A core observation diagram of a third-level reservoir according to an embodiment of the present application is schematically shown;

[0037] Figure 5 A diagram of conventional logging and special logging interpretation results according to an embodiment of the present application is schematically shown;

[0038] Figure 6 Fig. 8 schematically illustrates a dipole acoustic wave detection well interpretation diagram according to an embodiment of the present application;

[0039] Figure 7 Fig. 9 schematically illustrates a hierarchical division result diagram of a single well corresponding reservoir according to an embodiment of the present application;

[0040] Figure 8 Fig. 10 schematically illustrates a spatial interpretation three-dimensional model diagram of a main slip fracture surface according to an embodiment of the present application;

[0041] Figure 9 Fig. 11 schematically illustrates an energy-constrained frequency-division curvature ant body diagram according to an embodiment of the present application;

[0042] Figure 10 Fig. 12 schematically illustrates a three-dimensional geological model diagram of a main slip fracture zone reservoir according to an embodiment of the present application;

[0043] Figure 11 Fig. 13 schematically illustrates a fracture reservoir response sensitivity preferred attribute diagram according to an embodiment of the present application;

[0044] Figure 12 Fig. 14 schematically illustrates a three-dimensional geological model diagram of a fracture zone reservoir with large and medium scale fractures according to an embodiment of the present application;

[0045] Figure 13 Fig. 15 schematically illustrates a three-dimensional geological model diagram corresponding to each hierarchical reservoir according to an embodiment of the present application;

[0046] Figure 14 Fig. 16 schematically illustrates an optimized adjustment three-dimensional geological model diagram corresponding to each hierarchical reservoir according to an embodiment of the present application;

[0047] Figure 15 Fig. 17 schematically illustrates a three-dimensional geological model diagram of a complete slip fracture zone according to an embodiment of the present application;

[0048] Figure 16 Fig. 18 schematically illustrates a structure block diagram of a carbonate rock fracture-cave reservoir modeling device according to an embodiment of the present application;

[0049] Figure 17 Fig. 19 schematically illustrates an internal structure diagram of a computer device according to an embodiment of the present application.

[0050] Legend of reference signs

[0051] 210-hierarchy division module; 220-reservoir geologic model establishment module; 230-fusion module; 240-adjustment module; A01-processor; A02-network interface; A03-internal storage; A04-display screen; A05-input device; A06-nonvolatile storage medium; B01-operating system; B02-computer program. DETAILED DESCRIPTION

[0052] In order to make the objectives, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. It should be understood that the specific embodiments described herein are merely used to illustrate and explain the embodiments of the present application, and should not be used to limit the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the scope of protection of the present application.

[0053] If the description of “first”, “second” and the like is involved in the embodiments of the present application, the description of “first”, “second” and the like is merely for the purpose of description, and cannot be understood as indicating or implying the relative importance of the indicated technical features or implicitly indicating the number of the indicated technical features. Therefore, the features limited by “first”, “second” can explicitly or implicitly include at least one of the features. In addition, the technical solutions of various embodiments can be combined with each other, but it must be based on the fact that a person of ordinary skill in the art can realize it, and when the combination of technical solutions appears contradictory or unachievable, it should be considered that the combination of technical solutions does not exist, and is also not within the scope of protection claimed by the present application.

[0054] As described in the background, fault-controlled fracture-vug carbonate reservoir is a kind of special carbonate reservoir, and the reservoir configuration classification and characterization research is weak. The reservoir distribution is obviously different from that of diagenetic fracture-vug carbonate reservoir (such as weathering crust karst and fault-controlled karst in Tahe oilfield), which is mainly controlled by structure, buried deep, complex spatial distribution, strong heterogeneity and other characteristics. At present, there are many studies on diagenetic fracture-vug carbonate reservoirs. The modeling methods mainly include hierarchical modeling with geological pattern constraint, seismic reflection feature classification as key means, constraint modeling of dynamic and static multi-modules, fusion modeling of deterministic and stochastic simulation based on karst pattern, and multi-point geostatistical random modeling based on reservoir development structure training image, etc. Fault-controlled fracture-vug carbonate reservoir is more complex than diagenetic fracture-vug carbonate reservoir, and the reservoir development is no longer mainly controlled by karst, and the control effect of strike-slip faults is more obvious, such as Shunbei area and Fuman area in Tarim Basin. Due to the complex changes of regional tectonic background, some fault-controlled fracture-vug carbonate reservoirs (such as different strips in Shunbei area) also show complex reservoir development and distribution characteristics, including typical strike-slip fault "core zone" reservoir structure and more complex "grid cluster" reservoir structure. However, this kind of fault-controlled fracture-vug "grid cluster" reservoir structure is a new geological understanding, and the current oil and gas reservoir geological modeling technology for this kind of fault-controlled fracture-vug "grid cluster" reservoir structure is still in the initial development stage, and no feasible modeling method has been formed.

[0055] In view of this, one embodiment of the present application provides a carbonate fracture-vug reservoir modeling method, which can model carbonate fault-controlled "grid cluster" structure fracture-vug reservoir. As shown in the figure, Figure 1 The carbonate fracture-vug reservoir modeling method can include the following steps:

[0056] Step 101, based on the geological data, the development level of the first single well corresponding reservoir in the target area and the target reservoir structure in the first single well corresponding reservoir are interpreted, and the level division result of the first single well corresponding reservoir is obtained. In the level division result, the first level reservoir is a strike-slip fault fracture zone reservoir.

[0057] Wherein, the target area can be an area containing fault-controlled fracture-vug "grid cluster" reservoir structure.

[0058] The geological data can include at least one of drilling data, logging data, well logging data, core observation data and formation multi-response attribute data. In specific implementation, one or more of drilling data, logging data, well logging data, core observation data and formation multi-response attribute data can be selected according to actual needs.

[0059] In the embodiments of the present application, the reservoir body can be a fault-controlled fracture-cave reservoir body. The target reservoir structure can be a "lattice cluster" reservoir structure, and more specifically, the target reservoir structure can be a "lattice cluster" high-quality reservoir structure. The high-quality reservoir structure refers to a formation structure with good reservoir and oil and gas transmission capacity. The hierarchical division result of the first single-well corresponding reservoir body can also be referred to as a development level pattern of the first single-well corresponding reservoir body.

[0060] In order to further improve the accuracy of interpretation, in actual application, in addition to the geological data, the structural background, the sedimentary evolution process and the production dynamic data can also be combined for interpretation. That is, the development level of the first single-well corresponding reservoir body in the target region and the target reservoir structure in the first single-well corresponding reservoir body are interpreted based on the geological data in step 101, which can specifically include: the development level of the first single-well corresponding reservoir body in the target region and the target reservoir structure in the first single-well corresponding reservoir body are interpreted based on the structural background, the sedimentary evolution process, the geological data and the production dynamic data.

[0061] It can be understood that through the multi-data constraint judgment of the structural background, the sedimentary evolution process, the geological data and the production dynamic data, the fine characterization of the reservoir body can be realized, so that the development level of the reservoir inside the fault-controlled fracture-cave reservoir body in which the first single well is located and the "lattice cluster" high-quality reservoir structure can be finely interpreted. Thus, the development level pattern of the first single-well corresponding reservoir body can be accurately obtained.

[0062] In step 102, a three-dimensional structural analysis is performed according to the seismic data to obtain a three-dimensional geological model corresponding to the first-level reservoir body.

[0063] In the embodiments of the present application, step 102 can include step (1) and step (2), which are specifically as follows:

[0064] In step (1), a three-dimensional interpretation of the main strike-slip fault surface is performed according to the seismic data.

[0065] The seismic data can include seismic records, structural characteristics and seismic attribute responses of stratigraphic discontinuity. Through the three-dimensional interpretation of the main strike-slip fault surface, a three-dimensional model of the spatial interpretation of the main strike-slip fault surface can be formed.

[0066] In step (2), based on the three-dimensional interpretation of the main strike-slip fault surface, a three-dimensional geological model corresponding to the first-level reservoir body is obtained by using the seismic response attribute of the first-scale fault for prediction constraint.

[0067] The first-scale fault is a large-scale fault, which refers to a larger-scale geological fault, usually with a larger length and width.

[0068] In the embodiments of the present application, the seismic response attribute of the first scale fracture can be specifically an energy-constrained frequency-dependent curvature ant tracking (λ-ANT). The frequency-dependent curvature ant tracking is a reservoir response attribute of the energy class, and can describe the structural changes of the strike-slip fracture in detail compared with the fracture characterization attributes such as the tensor ant tracking and the coherent ant tracking. Moreover, by adding the energy constraint, the spatial characteristics of the reservoir can be predicted. Therefore, the frequency-dependent curvature ant tracking can better predict the fracture reservoirs of the longitudinal extension of the strike-slip fracture compared with other fracture characterization attributes.

[0069] Then, in the implementation, step (2) can include: based on the three-dimensional interpretation of the main trunk strike-slip fracture surface, taking the structural morphology of the main trunk strike-slip fracture as the main spatial distribution control, using the energy-constrained frequency-dependent curvature ant tracking to form the three-dimensional geological model corresponding to the strike-slip fracture belt reservoir. The energy constraint can be amplitude attribute constraint.

[0070] In the modeling process, the strike-slip fracture belt reservoir can be the first level, which can also be referred to as level 1. The first level is mainly developed below the T76 structural surface, and represents the narrow and long fracture belt reservoir of the longitudinal extension of the large-scale strike-slip fracture.

[0071] Step 104, predicting the spatial distribution of the reservoirs of the remaining levels in the level division result, and establishing the three-dimensional geological models respectively corresponding to the reservoirs of the remaining levels.

[0072] In the implementation, step 104 can include: according to the level modeling idea, based on the seismic attribute, predicting the spatial distribution of the reservoirs of the remaining levels in the level division result obtained in step 101, and fusing through the geological formation background of the reservoirs of the levels in the level division result to establish the three-dimensional geological models respectively corresponding to the reservoirs of the remaining levels.

[0073] The remaining levels usually include the second level (which can also be referred to as level 2), the third level (which can also be referred to as level 3) and the fourth level (which can also be referred to as level 4), and the reservoirs of the second level, the third level and the fourth level are spatially developed between the T74-T76 layers, and these level reservoirs have a unified strike-slip structural cause with the first level reservoir. Due to the difference in the development position, these levels are shallower than the first level fracture zone, the horizontal stress is reduced, and the development range is larger. Due to the internal fracture mechanism and the stress and fracture conditions of the plane structural partition of this series of reservoirs, different types of reservoirs are formed, and there is also a difference in the formation sequence. The reservoir formation sequence is: the fourth level > the third level > the second level > the first level.

[0074] Thus, the vertical layering and internal partitioning of the faulted reservoirs are embodied; therefore, when establishing the three-dimensional geological models corresponding to the reservoirs at different levels, the logging interpretation and drilling events can be constrained and calibrated based on the reservoir development characteristics of single wells and the reservoir level patterns, and the three-dimensional geological models corresponding to the reservoirs at different types and levels can be established by optimizing multiple energy-based seismic attributes that are better responsive to the reservoirs, and through fine calibration of single wells and determination of threshold values.

[0075] Currently, the traditional method is to use coherent energy gradient, clutter and other attributes to represent the reservoirs, and in order to more effectively and finely represent the reservoir levels, the seismic attributes that can effectively predict the reservoirs are used in the embodiments of the present application, including frequency division filtering coherent energy gradient, texture attribute, coherent energy gradient, etc.

[0076] Specifically, in order to represent the spatial distribution of the first level high-quality reservoirs, since the first level reservoirs are usually in the meter scale, the embodiments of the present application can predict by applying hour window intertrace correlation attribute, coherent energy gradient and structure tensor proportion fusion attribute, and realize the prediction and description of reservoirs at different levels.

[0077] Moreover, the embodiments of the present application adopt the principle of one well one model, and establish the three-dimensional geological models corresponding to the reservoirs at different types and levels in the level division result based on the deterministic geological modeling method by optimizing the seismic attributes that are better responsive to the reservoirs at different levels, fine calibration of single wells and determination of threshold values through human-computer interaction.

[0078] Step 105, fusing the three-dimensional geological models corresponding to the reservoirs at different levels and the three-dimensional geological model corresponding to the first level reservoirs to obtain the three-dimensional geological model of the carbonate fracture-cave reservoir corresponding to the first single well.

[0079] Among them, the three-dimensional geological models corresponding to the reservoirs at different levels in the level division result can be fused according to the same priority principle.

[0080] In actual application, in order to further improve the accuracy of the three-dimensional geological model of the carbonate fracture-cave reservoir corresponding to the first single well, for example, Figure 2As shown, after step 102 and before step 105, the carbonate fracture-cave reservoir modeling method provided in the embodiments of the present application can further include step 103 of delineating a fracture zone in the three-dimensional geological model corresponding to the first level reservoir by using the strike-slip fault fracture development pattern and the target fault response attribute, to obtain a three-dimensional geological model of the fracture zone reservoir corresponding to the first level reservoir; and step 105 can include step 1051 of fusing the three-dimensional geological model corresponding to each of the remaining level reservoirs and the three-dimensional geological model of the fracture zone reservoir corresponding to the first level reservoir, to obtain the three-dimensional geological model of the carbonate fracture-cave reservoir corresponding to the first single well.

[0081] The target fault response attribute can include at least one of coherence, curvature, edge detection, automatic fault extraction (AFE), Likelihood, and ant tracking volume responding to the second scale fracture. The second scale fracture has a smaller scale than the first scale fracture, and can be a small scale fracture.

[0082] During the mutual dislocation of the strike-slip fault blocks, a fracture zone is formed in the weak strain area, and the fracture zone is mainly composed of high-angle large and medium scale fractures, which cut the original rock to form a fracture zone reservoir. The fracture zone reservoir is mainly composed of fractures, although the overall reservoir space is small, the seepage capacity is strong. Therefore, although the fracture zone reservoir does not belong to the reservoir in the geological model and is not in the reservoir level, it can be used as an effective seepage channel, so that the embodiments of the present application delineate the fracture zone reservoir in the three-dimensional geological model corresponding to the strike-slip fault fracture zone reservoir, and establish a three-dimensional geological model containing the fracture zone reservoir, which is referred to as a three-dimensional geological model of the fracture zone reservoir.

[0083] In the embodiments of the present application, step 103 can include using the main strike-slip fault structure as the distribution control, using the strike-slip fault fracture development pattern and the target fault response attribute to determine the fracture-cave reservoir development boundary, to delineate the fracture zone in the three-dimensional geological model corresponding to the first level reservoir, to obtain the three-dimensional geological model of the fracture zone reservoir corresponding to the first level reservoir.

[0084] The target fault response attribute can be selected from coherence, curvature, edge detection, automatic fault extraction (AFE), Likelihood, and ant tracking volume responding to the second scale fracture, and the reservoir boundary response seismic attribute of the fault-controlled fracture-cave reservoir is preferably selected.

[0085] When the fracture zone is delineated in the three-dimensional geological model corresponding to the strike-slip fault fracture zone reservoir, the target fault response attribute can be calibrated and delineated by using the well information, and the fracture zone is delineated according to the fracture distribution and development characteristics of the well.

[0086] It can be understood that the carbonate rock fracture-cave reservoir modeling method provided by the above embodiments of the present application comprises: interpreting, based on geological data, a development level of a reservoir corresponding to a first single well in a target region and a target reservoir structure in the reservoir corresponding to the first single well, to obtain a level division result of the reservoir corresponding to the first single well, in which a first level reservoir is a strike-slip fault fracture zone reservoir; performing three-dimensional structure analysis according to seismic data to obtain a three-dimensional geological model corresponding to the first level reservoir; predicting spatial distribution of each of the remaining level reservoirs in the level division result to establish a three-dimensional geological model corresponding to each of the remaining level reservoirs; and fusing the three-dimensional geological model corresponding to each of the remaining level reservoirs and the three-dimensional geological model corresponding to the first level reservoir to obtain a three-dimensional geological model of the carbonate rock fracture-cave reservoir corresponding to the first single well. Based on the modeling method provided by the embodiments of the present application, the "grid-cluster" reservoir structure feature can be better presented in the three-dimensional geological model, and the model level of the fracture-cave reservoir with a "grid-cluster" structure controlled by a fault can be refined to reveal the internal structure of the reservoir. Thus, the modeling method provided by the embodiments of the present application can better model the carbonate rock fracture-cave reservoir with a "grid-cluster" structure controlled by a fault.

[0087] In actual applications, in order to obtain a more accurate three-dimensional geological model of the carbonate rock fracture-cave reservoir of the first single well, as shown in FIG. 10, after step 1051, the carbonate rock fracture-cave reservoir modeling method provided by the embodiments of the present application can further comprise step 106 of optimizing and adjusting the three-dimensional geological model corresponding to each of the remaining level reservoirs and the three-dimensional geological model of the fracture zone reservoir corresponding to the first level reservoir. Figure 2

[0088] The optimization and adjustment can comprise adjusting the scale, size and distribution of the three-dimensional geological model corresponding to each of the level reservoirs in the level division result.

[0089] In specific implementations, the above optimization and adjustment can be performed based on well point drilling time changes, logging interpretation, drilling empty loss and dynamic characteristics and the like, and with the profile of a geological model passing through a well as a target for quality control.

[0090] Further, in order to obtain a three-dimensional geological model of a complete strike-slip fault strip in the target region, after step 106, the carbonate rock fracture-cave reservoir modeling method provided by the embodiments of the present application can further comprise step 107 of obtaining a three-dimensional geological model of a carbonate rock fracture-cave reservoir corresponding to each of the remaining single wells in the target region, and fusing the three-dimensional geological model of the carbonate rock fracture-cave reservoir corresponding to each of the remaining single wells and the three-dimensional geological model of the carbonate rock fracture-cave reservoir corresponding to the first single well to obtain a three-dimensional geological model of a carbonate rock fracture-cave reservoir corresponding to the target region. ​

[0091] In the implementation, the target area can be divided into multiple sub-areas according to the segmentation of strike-slip fault planes. In a single sub-area, the connected well groups are preferably taken as the same modeling unit; and for the remaining well groups that are not connected in the single sub-area, the single wells that are in the same structure segment and have similar structural properties are taken as the same modeling unit. Then, the three-dimensional geological models of the carbonate fracture-cave reservoirs corresponding to each single well in the same modeling unit in the single sub-area are fused by the modeling attribute and modeling parameter optimization to obtain the three-dimensional geological models of the carbonate fracture-cave reservoirs corresponding to each modeling unit. Next, the three-dimensional geological models of the carbonate fracture-cave reservoirs corresponding to each modeling unit in the single sub-area are fused to obtain the three-dimensional geological model of the carbonate fracture-cave reservoir corresponding to the single sub-area. Finally, the three-dimensional geological models of the carbonate fracture-cave reservoirs corresponding to each single sub-area are fused to obtain the three-dimensional geological model of the carbonate fracture-cave reservoir corresponding to the target area, i.e., the three-dimensional geological model of the complete strike-slip fault strip of the target area.

[0092] In the above fusion process, the modeling process and parameter standard can be used for the overall fusion of the strike-slip fault control model.

[0093] It can be seen that, in the embodiments of the present application, the “grid-cluster” reservoir is divided into configuration units based on core observation, well logging interpretation, seismic exploration and production dynamic data, geological background induction, reservoir development characteristic research and geological body genesis analysis, and different levels of configuration units of the “grid-cluster” reservoir are divided in combination with seismic prediction and various dynamic and static data. Then, for the configuration units of different levels, the deterministic contour delineation of the configuration units of different levels is performed through the corresponding relationship between seismic reflection characteristics and geological bodies, the optimization of seismic body attributes, and the application of various seismic attributes such as energy, waveform, phase and discontinuity and the dynamic and static data calibration and man-machine interaction mode. For the small-scale reservoir sections on the well, the deterministic or random simulation method is used for model establishment, and the fused geological model is formed under the hierarchical constraint of the configuration units. The geological model formed in this process can better reflect the geological pattern, can more finely delineate the “grid-cluster” reservoir distribution and heterogeneity, and can provide a more solid foundation for well location deployment, target optimization, reserve evaluation, scheme formulation, development effect analysis and other work of the ultra-deep carbonate fault-controlled “grid-cluster” structure fracture-cave reservoir.

[0094] In other words, the embodiment of the present application improves the geological modeling process of the ultra-deep carbonate fractured-vug reservoir, and preferentially analyzes the hierarchical structure, describes the structure, and classifies the types of the strike-slip fault reservoir in the single-well region through well and seismic data interpretation. On the basis of the traditional fault-dissolution and fault-controlled reservoir modeling, the geological foundation is consolidated, the reservoir structure and development characteristics are strengthened, and the uncertainty in the modeling process is reduced. Then, the main fault and the fractured reservoir are finely described and modeled according to the strike-slip fault reservoir structure. Then, according to the reservoir structure and development characteristics of different wells, the seismic attributes and well-seismic calibration are optimized, and the three-dimensional geological model of the reservoir fracture body in the single-well region is established. Finally, the different structural positions and production characteristics of the wells are divided by the guidance of the geological background, structural partition, and well group connectivity, and then the single-well geological model can be extended to the no-well region, and finally a complete three-dimensional geological model of the strike-slip fault strip is formed.

[0095] Meanwhile, the embodiment of the present application can obtain the modeling process of the ultra-deep fault-controlled carbonate reservoir by applying the hierarchical modeling idea and the deterministic modeling method. The dynamic and static data such as well, seismic, and production data can be comprehensively applied to reduce the uncertainty in the modeling process. First, the reservoir type, development mode, and development level are studied from the single-well geological analysis, the seismic attribute is optimized according to the coincidence degree of the prediction results of different seismic attributes and the reservoir identified on the well, and the geological body-well-seismic combination identification prediction is realized. Then, the spatial position of different reservoirs is predicted by applying the optimized seismic attribute, the range of different seismic attributes is adjusted by constraining the reservoir range identified on the well, and the three-dimensional geological model of different types of reservoirs is established. Then, the profile of the geological model passing through the well is quality controlled and tested based on the well data. Finally, the complete strike-slip fault strip model is established by fusing the models of different modeling units, and the modeling accuracy is improved.

[0096] In addition, the scheme provided by the embodiment of the present application realizes the mutual fusion and verification of well and seismic data to a greater extent by using more fine single-well data, optimizing seismic attributes, and applying more rich seismic attributes. The effective extension of the no-well region can be realized, and the three-dimensional geological model more consistent with the geological understanding and the reservoir structure on the well can be formed. The scheme provided by the embodiment of the present application reduces the uncertainty, strengthens the model details, and improves the reliability of the three-dimensional geological model by adding the well point information and the geological mode, optimizing the seismic attribute application, and improving the modeling method and process.

[0097] The carbonate fractured-vug reservoir modeling method provided by the above embodiment of the present application will be described below in combination with specific examples. It should be understood that the following examples are only a specific implementation, and do not represent an improper limitation on the scheme of the present application.

[0098] The modeling method includes the following steps:

[0099] Step 1: Utilizing features such as seismic record profiles and bedding plane displacement, the structural characteristics of the well trajectory profile are analyzed. The analysis results are as follows: Figure 3 As shown. Based on the analysis results and core observations (such as...) Figure 4a and 4b As shown, where, Figure 4a This is a core observation image of the second-level reservoir—the porous reservoir. Figure 4b Based on the third-level reservoir (a high-angle natural fracture reservoir filled with calcite), combined with conventional well logging interpretation and micro-resistivity imaging (such as... Figure 5 As shown), dipole acoustic waves (such as...) Figure 6 Based on well logging methods (as shown) and multi-attribute seismic prediction results, the reservoir structure and reservoir type were studied, and the hierarchical division results of the reservoir corresponding to the first single well were obtained, as shown. Figure 7 As shown.

[0100] Step two: Based on the hierarchical division results of the reservoir corresponding to the first single well, a three-dimensional spatial interpretation model of the main strike-slip fault surface is formed through structural feature analysis of the original seismic record, such as... Figure 8 As shown. Then, using energy-constrained frequency-division curvature ant bodies (such as...) Figure 9 As shown), the development range of the reservoir (level 1) in the main strike-slip fault fracture zone was determined, and the corresponding three-dimensional geological model was established, such as... Figure 10 As shown.

[0101] Step 3: Through well point information constraint control, single-well profile structural analysis and structural interpretation, a comprehensive assessment of the response sensitivity of different ant-body attributes to fractured reservoirs is conducted for optimal selection. Optimized attributes include... Figure 11 As shown, where, Figure 11 Figure a in the middle shows the earthquake record attributes. Figure 11 Figure a in the middle shows the tensor ant body attributes. Figure 11 Figure c shows the curvature ant body properties. Then, depending on the situation, individual or combined applications are used for each single well to establish a three-dimensional geological model of the fractured reservoir with large and medium-scale fractures, such as... Figure 12 As shown.

[0102] Step four: Due to the longitudinal extension characteristics of strike-slip faults, reservoirs at all levels also mainly exhibit longitudinal development characteristics. Based on the envelope prediction capability of reservoir distribution from the well site, and then according to the reservoir type and development location interpreted from the well point, the seismic attribute with the most effective prediction response is selected for each reservoir level. Based on the selected seismic attribute, three-dimensional geological models corresponding to the remaining reservoir levels are established, that is, geological models of different types of fracture bodies (reservoirs) are established, such as... Figure 13 As shown. Among them,Figure 13 Fig. a is a three-dimensional geological model of a first type of fractured body, Fig. b is a three-dimensional geological model of a second type of fractured body, and Fig. c is a three-dimensional geological model of a third type of fractured body. Finally, the three-dimensional geological models are fused.

[0103] Step five, using the information of well point drilling time change, well logging interpretation, drilling empty leakage and dynamic characteristics, etc., the scale, size and distribution of the three-dimensional geological model corresponding to each level of reservoir are adjusted by taking the well profile as the target for quality control, as shown in Fig. 5. Figure 14

[0104] Step six, based on the segmentation of strike-slip fault plane, different modeling units are divided according to the characteristics of well group connectivity, and the hierarchical fusion of strike-slip belt model is carried out to obtain the three-dimensional geological model of the complete strike-slip fault strip, as shown in Fig. 6. Figure 15

[0105] Based on the same inventive concept, as shown in Fig. 7, Figure 16 Figure 16 Fig. 7 schematically shows a structural block diagram of a carbonate fracture-cave reservoir modeling device according to an embodiment of the present application. In one embodiment, a carbonate fracture-cave reservoir modeling device 200 is provided, which includes a hierarchical division module 210, a reservoir geological model establishment module 220 and a fusion module 230, wherein:

[0106] The hierarchical division module 210 is configured to interpret the development level of the reservoir corresponding to the first single well in the target area and the target reservoir structure in the reservoir corresponding to the first single well based on the geological data, to obtain the hierarchical division result of the reservoir corresponding to the first single well, and in the hierarchical division result, the first level reservoir is a strike-slip fault fractured reservoir.

[0107] The reservoir geological model establishment module 220 is configured to perform three-dimensional structure analysis according to the seismic data to obtain the three-dimensional geological model corresponding to the first level reservoir, and to predict the spatial distribution of the remaining level reservoirs in the hierarchical division result to establish the three-dimensional geological model corresponding to the remaining level reservoirs respectively.

[0108] The fusion module 230 is configured to fuse the three-dimensional geological model corresponding to the remaining level reservoirs and the three-dimensional geological model corresponding to the first level reservoir to obtain the three-dimensional geological model of the carbonate fracture-cave reservoir corresponding to the first single well.

[0109] In one embodiment, the reservoir geological model establishment module 220 is configured to perform three-dimensional interpretation of the main strike-slip fault plane according to the seismic data.

[0110] ​​​Based on the three-dimensional interpretation of the main trunk strike-slip fault surface, the seismic response attribute of the first scale fault is used for prediction constraint to obtain the three-dimensional geological model corresponding to the first level reservoir.

[0111] In one embodiment, the reservoir geological model establishing module 220 is further configured to, after obtaining the three-dimensional geological model corresponding to the first level reservoir through three-dimensional structure analysis according to the seismic data, depict the fracture zone in the three-dimensional geological model corresponding to the first level reservoir by using the strike-slip fault fracture development mode and the target fault response attribute to obtain the three-dimensional geological model of the fracture zone reservoir corresponding to the first level reservoir; and the fusion module 230 is configured to fuse the three-dimensional geological model corresponding to each of the remaining levels of reservoirs and the three-dimensional geological model of the fracture zone reservoir corresponding to the first level reservoir.

[0112] In one embodiment, the carbonate rock fracture-vug reservoir modeling device 200 further comprises an adjustment module 240, which is configured to, after fusing the three-dimensional geological model corresponding to each of the remaining levels of reservoirs and the three-dimensional geological model of the fracture zone reservoir corresponding to the first level reservoir, optimize and adjust the three-dimensional geological model corresponding to each of the remaining levels of reservoirs and the three-dimensional geological model of the fracture zone reservoir corresponding to the first level reservoir.

[0113] In one embodiment, the fusion module 230 is further configured to obtain the three-dimensional geological model of the carbonate rock fracture-vug reservoir corresponding to each of the remaining single wells in the target region, and fuse the three-dimensional geological model of the carbonate rock fracture-vug reservoir corresponding to each of the remaining single wells and the three-dimensional geological model of the carbonate rock fracture-vug reservoir corresponding to the first single well to obtain the three-dimensional geological model of the carbonate rock fracture-vug reservoir corresponding to the target region.

[0114] In one embodiment, the geological data includes at least one of drilling data, logging data, well logging data, core observation data, and formation multi-response attribute data.

[0115] The carbonate rock fracture-vug reservoir modeling device comprises a processor and a memory, and the above-mentioned hierarchical division module 210, reservoir geological model establishing module 220, and fusion module 230 are stored in the memory as program units, and the corresponding functions are realized by the processor executing the above-mentioned program modules stored in the memory.

[0116] The processor contains a core, and the core calls the corresponding program unit from the memory. The core can be set to one or more, and the core parameters are adjusted to realize fast and efficient modeling on the whole chip scale.

[0117] The memory can include non-persistent memory in a computer readable medium, random access memory (RAM) and / or non-volatile memory such as read-only memory (ROM) or flash memory, and the memory includes at least one memory chip.

[0118] The embodiment of the present application provides a machine readable storage medium, which stores a program, and the program is executed by a processor to realize the carbonate fracture-cave reservoir modeling method.

[0119] In one embodiment, a computer device is provided, which can be a terminal, and an internal structure diagram of the computer device can be as shown in Figure 17 The computer device includes a processor A01, a network interface A02, a display screen A04, an input device A05 and a memory (not shown in the figure) connected through a system bus. The processor A01 of the computer device is used to provide computing and control capabilities. The memory of the computer device includes an internal memory A03 and a non-volatile storage medium A06. The non-volatile storage medium A06 stores an operating system B01 and a computer program B02. The internal memory A03 provides an environment for the operating system B01 and the computer program B02 in the non-volatile storage medium A06. The network interface A02 of the computer device is used to communicate with external terminals through network connection. The computer program is executed by the processor A01 to realize a carbonate fracture-cave reservoir modeling method. The display screen A04 of the computer device can be a liquid crystal display screen or an electronic ink display screen, and the input device A05 of the computer device can be a touch layer covering the display screen, or a key, trackball or touchpad arranged on the shell of the computer device, or an external keyboard, touchpad or mouse, etc.

[0120] Those skilled in the art can understand that, Figure 17 The structure shown in the figure is only a block diagram of part of the structure related to the scheme of the present application, and does not constitute a limitation on the computer device to which the scheme of the present application is applied. The specific computer device can include more or fewer components than those shown in the figure, or combine certain components, or have a different component arrangement.

[0121] In one embodiment, the carbonate fracture-cave reservoir modeling device provided by the present application can be realized in the form of a computer program, which can run on a computer device as shown in Figure 17 The memory of the computer device can store various program modules constituting the construction task intelligent scheduling device, such as Figure 16The shown hierarchical division module 210, the reservoir geological model establishment module 220 and the fusion module 230. The computer program composed of various program modules enables the processor to execute the steps in the carbonate fracture-cave reservoir modeling method of various embodiments of the present application described in the specification.

[0122] Figure 17 The shown computer device can execute the method through the hierarchical division module 210, the reservoir geological model establishment module 220 and the fusion module 230 in the carbonate fracture-cave reservoir modeling device. Figure 16 The hierarchical division module 210, the reservoir geological model establishment module 220 and the fusion module 230 in the carbonate fracture-cave reservoir modeling device execute the method.

[0123] The embodiment of the present application provides a device, which comprises a processor, a memory and a program stored on the memory and executable on the processor, and the processor executes the program to realize the following steps:

[0124] Based on the geological data, the development hierarchy of the first single-well corresponding reservoir in the target area and the target reservoir structure in the first single-well corresponding reservoir are interpreted to obtain a hierarchical division result of the first single-well corresponding reservoir, and in the hierarchical division result, the first hierarchical reservoir is a strike-slip fault fracture zone reservoir.

[0125] According to the seismic data, three-dimensional structure analysis is performed to obtain a three-dimensional geological model corresponding to the first hierarchical reservoir.

[0126] The spatial distribution of the remaining hierarchical reservoirs in the hierarchical division result is predicted, and three-dimensional geological models corresponding to the remaining hierarchical reservoirs are established respectively.

[0127] The three-dimensional geological models corresponding to the remaining hierarchical reservoirs and the three-dimensional geological model corresponding to the first hierarchical reservoir are fused to obtain a three-dimensional geological model of the first single-well corresponding carbonate fracture-cave reservoir.

[0128] In one embodiment, the three-dimensional structure analysis according to the seismic data to obtain the three-dimensional geological model corresponding to the first hierarchical reservoir comprises:

[0129] According to the seismic data, three-dimensional interpretation of the main strike-slip fault surface is performed.

[0130] Based on the three-dimensional interpretation of the main strike-slip fault surface, the seismic response attribute of the first scale fault is used for prediction constraint to obtain the three-dimensional geological model corresponding to the first hierarchical reservoir.

[0131] In one embodiment, after the three-dimensional structure analysis according to the seismic data to obtain the three-dimensional geological model corresponding to the first hierarchical reservoir, the modeling method further comprises:

[0132] The fracture zone is depicted in the three-dimensional geological model corresponding to the first level of reservoirs by using a strike-slip fracture development model and target fracture response attributes, and a three-dimensional geological model of the fracture zone reservoir corresponding to the first level of reservoirs is obtained.

[0133] The three-dimensional geological model corresponding to each of the remaining levels of reservoirs and the three-dimensional geological model corresponding to the first level of reservoirs are fused, including:

[0134] The three-dimensional geological model corresponding to each of the remaining levels of reservoirs and the three-dimensional geological model of the fracture zone reservoir corresponding to the first level of reservoirs are fused.

[0135] In one embodiment, after the three-dimensional geological model corresponding to each of the remaining levels of reservoirs and the three-dimensional geological model of the fracture zone reservoir corresponding to the first level of reservoirs are fused, the modeling method further includes:

[0136] The three-dimensional geological model corresponding to each of the remaining levels of reservoirs and the three-dimensional geological model of the fracture zone reservoir corresponding to the first level of reservoirs are optimized and adjusted.

[0137] In one embodiment, after the three-dimensional geological model corresponding to each of the remaining levels of reservoirs and the three-dimensional geological model of the fracture zone reservoir corresponding to the first level of reservoirs are optimized and adjusted, the modeling method further includes:

[0138] The three-dimensional geological model of the carbonate fracture-cave reservoir corresponding to each of the remaining single wells in the target region is obtained, and the three-dimensional geological model of the carbonate fracture-cave reservoir corresponding to each of the remaining single wells and the three-dimensional geological model of the carbonate fracture-cave reservoir corresponding to the first single well are fused to obtain a three-dimensional geological model of the carbonate fracture-cave reservoir corresponding to the target region.

[0139] In one embodiment, the geological data includes at least one of drilling data, logging data, well logging data, core observation data, and formation multi-response attribute data.

[0140] Those skilled in the art will understand that embodiments of the present application can be provided as methods, systems, or computer program products. Therefore, the present application can take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can take the form of a computer program product implemented on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROMs, optical storage, etc.) containing computer-usable program code.

[0141] The computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart block or blocks. Figure 1 one or more flow or blocks Figure 1 means for functionally implementing the steps listed in the flowchart block or blocks.

[0142] These computer program instructions can also be stored in a computer readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer readable memory produce an article of manufacture including instructions which implement the function specified in the flowchart block or blocks. Figure 1 one or more flow or blocks Figure 1 means for functionally implementing the steps listed in the flowchart block or blocks.

[0143] The computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart block or blocks. Figure 1 one or more flow or blocks Figure 1 means for functionally implementing the steps listed in the flowchart block or blocks.

[0144] In one typical configuration, the computing device includes one or more processors (CPUs), input / output interfaces, network interfaces, and memory.

[0145] The memory can include non-persistent memory and / or volatile memory, such as random access memory (RAM) and / or cache memory, for storing instructions and data used and / or generated by the computing device. The memory can also include non-volatile memory, such as read-only memory (ROM), electrically programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), flash memory, or other non-volatile memory.

[0146] Computer-readable media includes permanent and non-permanent, movable and non-movable media that can implement information storage by any method or technology. Information can be computer-readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical storage, magnetic cassette, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information accessible to a computing device. According to the definition herein, computer-readable media does not include transitory media such as modulated data signals and carriers.

[0147] It should also be noted that the terms "comprising", "containing", or any other variant thereof are intended to cover a non-exclusive inclusion, such that a process, method, article or apparatus that comprises a list of elements does not only include those elements, but can also include other elements not expressly listed or inherent to such process, method, article or apparatus. Without more limitations, the element defined by the statement "comprising a" does not exclude the presence of additional identical elements in the process, method, article or apparatus that includes the element.

[0148] The above is only an embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the present application can have various modifications and changes. Any modification, equivalent replacement, improvement, etc. within the spirit and principle of the present application shall be included in the scope of claims of the present application.

Claims

1. A method for modeling carbonate rock fracture-cavity reservoirs, characterized in that, include: Based on geological data, the development level of the reservoir corresponding to the first single well in the target area and the target reservoir structure in the reservoir corresponding to the first single well are interpreted to obtain the hierarchical division result of the reservoir corresponding to the first single well. In the hierarchical division result, the first-level reservoir is a strike-slip fault fracture zone reservoir. Three-dimensional structural analysis was performed based on seismic data to obtain a three-dimensional geological model corresponding to the first-level reservoir. Predict the spatial distribution of reservoirs at other levels in the hierarchical division results, and establish three-dimensional geological models corresponding to the reservoirs at other levels respectively. The three-dimensional geological models corresponding to the other reservoir levels and the three-dimensional geological model corresponding to the first reservoir level are fused to obtain the three-dimensional geological model of the carbonate fracture-cavity reservoir corresponding to the first single well.

2. The method for modeling carbonate rock fracture-cavity reservoirs according to claim 1, characterized in that, The process of performing three-dimensional structural analysis based on seismic data to obtain a three-dimensional geological model corresponding to the first-level reservoir includes: Three-dimensional interpretation of the main strike-slip fault surface based on seismic data; Based on the three-dimensional interpretation of the main strike-slip fault surface, the seismic response properties of the first-scale fault are used as predictive constraints to obtain the three-dimensional geological model corresponding to the first-level reservoir.

3. The method for modeling carbonate rock fracture-cavity reservoirs according to claim 1, characterized in that, After obtaining the three-dimensional geological model corresponding to the first-level reservoir through three-dimensional structural analysis based on seismic data, the modeling method further includes: By utilizing the strike-slip fracture development pattern and target fracture response properties, fracture zones are characterized in the three-dimensional geological model corresponding to the first-level reservoir, thus obtaining the three-dimensional geological model of the fracture zone reservoir corresponding to the first-level reservoir. The fusion of the three-dimensional geological models corresponding to the remaining reservoir levels and the three-dimensional geological model corresponding to the first-level reservoir includes: The three-dimensional geological models corresponding to the other reservoir levels and the three-dimensional geological model of the fracture zone reservoir corresponding to the first reservoir level are fused together.

4. The method for modeling carbonate rock fracture-cavity reservoirs according to claim 3, characterized in that, After fusing the three-dimensional geological models corresponding to the remaining reservoir levels and the three-dimensional geological model of the fracture zone reservoir corresponding to the first reservoir level, the modeling method further includes: The three-dimensional geological models corresponding to the other reservoir levels and the three-dimensional geological model of the fracture zone reservoir corresponding to the first reservoir level were optimized and adjusted.

5. The method for modeling carbonate rock fracture-cavity reservoirs according to claim 4, characterized in that, After optimizing and adjusting the three-dimensional geological models corresponding to the remaining reservoir levels and the three-dimensional geological model of the fracture zone reservoir corresponding to the first reservoir level, the modeling method further includes: Obtain the three-dimensional geological models of the carbonate fracture-cavitation reservoirs corresponding to each of the other single wells in the target area. Then, fuse the three-dimensional geological models of the carbonate fracture-cavitation reservoirs corresponding to the other single wells and the three-dimensional geological model of the carbonate fracture-cavitation reservoirs corresponding to the first single well to obtain the three-dimensional geological model of the carbonate fracture-cavitation reservoirs corresponding to the target area.

6. The method for modeling carbonate rock fracture-cavity reservoirs according to claim 1, characterized in that, The geological data includes at least one of drilling data, logging data, well logging data, core observation data, and formation multi-response attribute data.

7. A modeling device for carbonate rock fissure-cavity reservoirs, characterized in that, include: The hierarchical division module is used to interpret the development hierarchy of the reservoir corresponding to the first single well in the target area and the target reservoir structure in the reservoir corresponding to the first single well based on geological data, so as to obtain the hierarchical division result of the reservoir corresponding to the first single well. In the hierarchical division result, the first-level reservoir is a strike-slip fracture zone reservoir. The reservoir geological model building module is used to perform three-dimensional structural analysis based on seismic data to obtain the three-dimensional geological model corresponding to the first-level reservoir; and to predict the spatial distribution of the other levels of reservoirs in the hierarchical division results and establish the three-dimensional geological models corresponding to the other levels of reservoirs respectively. The fusion module is used to fuse the three-dimensional geological models corresponding to the other reservoir levels and the three-dimensional geological model corresponding to the first reservoir level to obtain the three-dimensional geological model of the carbonate fracture-cavity reservoir corresponding to the first single well.

8. The carbonate rock fissure-cavity reservoir modeling device according to claim 7, characterized in that, The fusion module is also used to obtain the three-dimensional geological models of the carbonate fracture-cavitation reservoirs corresponding to the other single wells in the target area, and to fuse the three-dimensional geological models of the carbonate fracture-cavitation reservoirs corresponding to the other single wells and the three-dimensional geological models of the carbonate fracture-cavitation reservoirs corresponding to the first single well to obtain the three-dimensional geological model of the carbonate fracture-cavitation reservoirs corresponding to the target area.

9. A processor, characterized in that, It is configured to perform the carbonate rock fracture-cavity reservoir modeling method according to any one of claims 1 to 6.

10. A machine-readable storage medium storing instructions thereon, characterized in that, When executed by a processor, this instruction causes the processor to be configured to perform the carbonate fracture-cavity reservoir modeling method according to any one of claims 1 to 6.

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