Method and equipment for determining type of ultra-deep carbonate rock fault control type reservoir body

Abstract

The invention relates to the technical field of reservoir structure identification, in particular to a method and equipment for determining the type of an ultra-deep carbonate rock fault control type reservoir body. The method comprises the steps that reservoir body space type combination features are determined in combination with reservoir body type basic units; establishing a single well database, and dividing single well data into static data and dynamic data; determining analysis data proportions of different data to different reservoir body types, and respectively establishing different reservoir body space type identification methods; a database of a single well and a reservoir space type identification method of the single well are utilized to summarize a most developed reservoir space type combination of typical structure segments, and strike-slip fracture analysis and segment characteristics are combined to determine the type of the ultra-deep fault control fracture-cavity type reservoir. According to the method, through fracture segmentation evaluation-single well database-dynamic and static multi-data analysis, accurate description and evaluation of the reservoir body are realized under the condition of lacking or only a small amount of real objects representing real reservoir cores and the like, and the drilling rate of the reservoir body and the drilling success rate are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of reservoir structure identification, and in particular to a method and device for determining the type of an ultra-deep carbonate fault-controlled reservoir. Background Art

[0002] my country currently has 67.1 billion tons of oil equivalent in deep-layer oil and gas resources. Specifically for marine carbonates, the three major marine basins alone hold a total of 14.4 billion tons of oil equivalent, accounting for 21% of the total. Deep and ultra-deep strata have become the primary venue for major oil and gas discoveries. However, within cratonic marine carbonate platforms, the geological setting for the formation of conventional large-scale reservoirs (reefs, grain banks, weathering crusts, and dolomites) is often lacking. Therefore, identifying new types of large-scale reservoirs is key to achieving exploration expansion.

[0003] In 2016, an ultra-deep (>7,300 m) fault-controlled fracture-vuggy oil and gas field was discovered in a certain area. As of 2021, a cumulative proven oil reserve of 153 million tons had been reported, preliminarily elucidating the reservoir-controlling, reservoir-controlling, and reservoir-controlling characteristics of strike-slip faults in craton basins. Research has revealed that ultra-deep fault-controlled fracture-vuggy reservoirs are primarily distributed along the strike of the fault zone horizontally and exhibit strong vertical heterogeneity. The production rates of drilled wells vary widely, and the distribution patterns of high- and low-yield wells are unclear. Ultra-deep carbonate rocks are highly heterogeneous due to the combined effects of variable lithofacies, complex structures, and fluid activity. Research on their distribution patterns and genesis is of great significance for exploration and development.

[0004] In the Chinese invention patent application number CN202011132720.5, a "method and device for quantitative identification of ultra-deep fault-controlled karst reservoir boundaries" is disclosed. This scheme is based on the analysis of effective seismic attributes and the determination of effective attribute values, and then establishes a geological model of the typical ultra-deep fault-controlled karst reservoir boundaries for the target area. Through forward simulation analysis, the effective attribute values ​​are adjusted to ensure the reliability of quantitative identification of karst reservoir boundaries.

[0005] However, due to the special reservoir structure of fault-controlled fracture-vuggy reservoirs, there is often a lack of or only a small amount of physical conditions such as cores representing real reservoirs in actual drilling, resulting in a consistent lag in the study of the distribution patterns and genetic mechanisms of fault-controlled fracture-vuggy reservoirs. Therefore, there is an urgent need for a method and equipment to determine the type of fault-controlled fracture-vuggy reservoirs in ultra-deep carbonate rocks to comprehensively judge the spatial structure and distribution patterns of fault-controlled fracture-vuggy reservoirs, so as to achieve accurate prediction of large-scale reservoirs, improve the reservoir penetration rate of drilling, increase the exploration potential and evaluation of strike-slip fault zones, and accelerate the rapid construction of ultra-deep prefabricated oil and gas fields. Summary of the Invention

[0006] To avoid the above-mentioned problems existing in the prior art, the purpose of the present invention is to provide a method and equipment for determining the type of ultra-deep carbonate fault-controlled reservoirs, so as to solve the problems such as the strong heterogeneity of ultra-deep fault-controlled fracture-vuggy reservoirs and the inability to determine the type and distribution pattern of fault-controlled reservoirs in the absence of or only a small amount of physical conditions such as representative reservoir cores, which leads to difficulties in optimizing well location targets and designing well trajectories. The method can achieve accurate description and evaluation of reservoirs and improve the reservoir encounter rate and drilling success rate.

[0007] To achieve the above objectives, the present invention provides the following technical solution: a method for determining the type of ultra-deep carbonate fault-controlled reservoir, comprising the following steps:

[0008] S1: Construct the three-dimensional spatial structure of different segments of the strike-slip fault zone, and based on the fault spatial structure, combine the basic units of reservoir types to determine the reservoir spatial type combination characteristics of fault-controlled reservoirs at different structural positions;

[0009] S2: Collect data generated throughout the life cycle of a geological well, establish a single-well database of physical geological and engineering dynamic data of the drilled wells, and divide the single-well data into two categories: static data and dynamic data;

[0010] Among them, static data refers to pre-completion data, including drilling data, mud logging data, and well logging data; dynamic data refers to completion and subsequent production data, including well testing data and dynamic production data;

[0011] S3: Based on single-well data, clarify the data proportion of different data for analyzing different reservoir types, and establish "dynamic-static data" analysis methods for identifying different reservoir spatial types;

[0012] S4: Using the single-well database and the single-well reservoir space type identification criteria, summarize the most developed reservoir space type combinations in typical structural segments. Combined with strike-slip fault analysis and segmentation characteristics, the ultra-deep fault-controlled fracture-vuggy reservoir type is determined based on the single-well database and the "dynamic-static data" analysis method.

[0013] The present invention is further configured such that the basic reservoir type units described in step S1 include cave-type reservoirs, fracture-type reservoirs and pore-type reservoirs.

[0014] The present invention is further configured such that the data generated in the entire life cycle of the geological well in step S2 includes drilling data, mud logging data, well logging data, well testing data and dynamic production data.

[0015] The present invention is further configured such that, in step S3, based on the basic unit of reservoir type, the reservoir space type identification method includes cave-type reservoir identification, fracture-type reservoir identification and pore-type reservoir identification.

[0016] It should be noted that in the actual drilling process, due to some uncontrollable factors, it is often impossible to obtain all the dynamic and static data during the drilling process. Therefore, based on the different amounts of dynamic and static data obtained, the importance of each data, that is, the proportion of each data, is different when judging the reservoir type. Among them, drilling data, logging data and production dynamics are necessary data for each single well, but there is still a lack of other data. For example, core or cuttings data in logging may not be obtained due to abnormal conditions such as emptying and leakage; logging data and well test data may also be unable to be obtained due to special well conditions. Therefore, there are multiple combinations for determining the proportion of analytical data of different data:

[0017] The present invention is further configured such that, when drilling data, logging data, well logging data, well testing data and dynamic production data are all available: for cave-type reservoirs or fracture-type reservoirs, the data ratio of drilling data is 0.2, the data ratio of logging data and logging data is 0.7, and the data ratio of well testing data and dynamic production data is 0.1; for porous reservoirs, the data ratio of logging data and logging data is 1.0.

[0018] When only drilling data, logging data, and dynamic production data are available: for cave or fracture reservoirs, the data proportion of drilling data is 0.3, the data proportion of logging data is 0.5, and the data proportion of dynamic production data is 0.2; for porous reservoirs, the data proportion of logging data is 1.0.

[0019] When there are only drilling data and the logging data lack core data and dynamic production data: for cave-type reservoirs or fracture-type reservoirs, the data proportion of drilling data is 0.5, the data proportion of logging data is 0.3, and the data proportion of dynamic production data is 0.2; for porous reservoirs, the data proportion of logging data is 0.8, and the data proportion of dynamic production data is 0.2.

[0020] When there are only drilling data and mud logging data but no core data, logging data and dynamic production data: for cave or fracture reservoirs, the data proportion of drilling data is 0.2, the data proportion of mud logging data is 0.2, the data proportion of logging data is 0.5, and the data proportion of dynamic production data is 0.1; for porous reservoirs, the data proportion of logging data is 0.7, the data proportion of mud logging data is 0.2, and the data proportion of dynamic production data is 0.1.

[0021] When there are only drilling data and mud logging data but no core data, well logging data, well test data and dynamic production data: for cave or fracture reservoirs, the data proportion of drilling data is 0.2, the data proportion of mud logging data is 0.2, the data proportion of well logging data is 0.4, the data proportion of well test data is 0.1, and the data proportion of dynamic production data is 0.1; for porous reservoirs, the data proportion of well logging data is 0.7, the data proportion of mud logging data is 0.2, and the data proportion of dynamic production data is 0.1.

[0022] If the proportion combination of the obtained data can meet the judgment conditions corresponding to a certain reservoir type, it can be judged as that reservoir type.

[0023] The present invention is further configured such that the cave-type reservoir is specifically identified by the presence of emptying and leakage in drilling data in static data; loss of cuttings and fault breccia in core in logging data; dual resistivity box-shaped morphology in logging data, significant reduction in density or acoustic wave, and fracture resistivity value in resistance imaging logging being 10% lower than the resistivity value of surrounding rock; the presence of a concave section of the pressure recovery curve in the well test combined with dynamic data; and the presence of an initial tested oil equivalent production capacity greater than 300 tons / day in production dynamic data, thereby identifying the reservoir as a cave-type reservoir.

[0024] The present invention is further configured such that the fracture-type reservoir is specifically identified by the presence of drilling time less than 10 min / m, oil and gas display, and leakage volume less than 100 cubic meters in the static data; the presence of cements such as calcite in the cuttings and fractures distributed in groups in the core in the logging data; the double resistivity peak shape, density or acoustic wave reduction in the logging data, and the fracture resistivity value in the resistivity imaging logging being less than 10% of the surrounding rock resistivity value; the linear up-dip section of the pressure recovery curve in the well test in the dynamic data; and the production dynamic data showing an oil equivalent production of more than 300 tons / day for no more than 2 months, thereby identifying the fracture-type reservoir.

[0025] The present invention is further configured such that the vuggy reservoir is specifically identified by the microscopic thin section characteristics of rock cuttings or cores in static data; the presence of oil and gas displays during drilling; and the characteristic that the oil equivalent production in dynamic production data always remains within a preset range, thereby determining it as a vuggy reservoir.

[0026] The present invention is further configured such that step S4 specifically includes the following steps:

[0027] S41: Based on the understanding of the differential distribution of reservoir types formed by strike-slip fault structures, the segmentation characteristics are determined through seismic data fault analysis, and the most likely reservoir spatial type combination is preliminarily determined;

[0028] S42: Based on the different reservoir spatial type identification methods in step S3, the "dynamic-static data" analysis method is used to determine the ultra-deep fault-controlled fracture-vuggy reservoir type; the drilling data, mud logging data, and well logging data in the static data are used to accurately determine the combination of reservoir types; and the test well data and production data in the dynamic data are used to assist in judging or verifying the rationality of the reservoir type combination.

[0029] The present invention is further configured such that, in step S41, the reservoir space type combination may form overlapping compression segments, overlapping tension segments and horizontal slip segments according to different side connection modes of strike-slip fault segments.

[0030] The present invention is further configured such that the overlapping extrusion section is more conducive to forming a fracture-type reservoir under the action of local extrusion stress, but can form a cave-type reservoir at some locations under the condition of enhanced fault activity, and the main body of the overlapping extrusion section is a fracture-cave type reservoir.

[0031] The present invention is further configured such that the overlapping tensile segments are more conducive to forming cave-type reservoirs under the action of local tensile stress, but fracture-type reservoirs also develop within the fault fracture zone, and the main body of the overlapping tensile segments is a cave-fracture type reservoir.

[0032] The present invention is further configured such that the horizontal slip section is more conducive to forming a fracture-type reservoir under the action of shear stress, and as the strike-slip activity increases, a cave-type reservoir can be formed in a local location, and the main body of the horizontal slip section is a fracture-cave type reservoir.

[0033] The present invention is further configured such that, in step S1, a three-dimensional spatial structure of different segments of the strike-slip fault zone is constructed based on three-dimensional seismic data, fault analysis, field geology, structural simulation, numerical simulation and actual drilling data.

[0034] The present invention further includes an electronic device, comprising:

[0035] a memory storing executable instructions;

[0036] A processor runs the executable instructions in the memory to implement the above-mentioned method for determining the type of ultra-deep carbonate fault-controlled reservoir.

[0037] In summary, the beneficial effects of the above technical solution of the present invention are as follows:

[0038] 1. This invention utilizes a systematic analysis method combining "fracture segmentation evaluation - single well database - dynamic and static multi-data analysis" to develop a method for determining the type of ultra-deep fault-controlled fracture-vuggy reservoirs. This method addresses the difficulty in determining the type and distribution of ultra-deep fault-controlled fracture-vuggy reservoirs, often due to the lack of, or limited availability of, representative core material. This can complicate well target optimization and well trajectory design. This method enables precise reservoir description and evaluation, improving both reservoir encounter rates and drilling success rates. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0040] Figure 1 This is a flow chart of a method for determining the type of ultra-deep carbonate fault-controlled reservoirs described in the present invention. DETAILED DESCRIPTION

[0041] In order to enable those skilled in the art to better understand the technical solution of the present invention, the technical solution of the present invention is clearly and completely described below in conjunction with the accompanying drawings of the present invention. Based on the embodiments of the present invention, other similar embodiments obtained by ordinary technicians in this field without making any creative work should fall within the scope of protection of the present invention.

[0042] The present invention will be further described below with reference to the accompanying drawings and preferred embodiments.

[0043] Example 1:

[0044] like Figure 1 As shown in FIG. 1 , a preferred embodiment of the present invention is a method for determining the type of an ultra-deep carbonate fault-controlled reservoir, comprising the following steps:

[0045] S1: Based on 3D seismic data, fault analysis, field geology, structural simulation, numerical simulation and actual drilling data, the three-dimensional spatial structure of different segments of the strike-slip fault zone is constructed. On the basis of the fault spatial structure, combined with the basic units of reservoir types, the reservoir spatial type combination characteristics of fault-controlled reservoirs at different structural positions are determined.

[0046] The basic units of reservoir types include cave-type reservoirs, fracture-type reservoirs and pore-type reservoirs.

[0047] S2: Collect data generated throughout the life cycle of a geological well, establish a single-well database of physical geological and engineering dynamic data of the drilled wells, and divide the single-well data into two categories: static data and dynamic data;

[0048] The data generated during the entire life cycle of the geological well include but are not limited to: ① drilling data, such as blowdown, leakage, overflow, drilling time, and drilling fluid; ② logging data, such as cuttings, core, and element logging; ③ logging data, such as conventional logging, special logging such as imaging, and VSP logging; ④ well test data, such as production logging data, temperature and pressure measurement data, and pressure recovery test data; ⑤ production dynamic data, such as production capacity data, production methods, production systems, and production cycles.

[0049] S3: Based on single-well data, the proportion of different data for the analysis of different reservoir types is clarified, and "dynamic-static data" analysis methods for identifying different reservoir spatial types are established respectively; according to the basic units of reservoir types, the "dynamic-static data" analysis methods for identifying reservoir spatial types include cave-type reservoirs, fracture-type reservoirs, and pore-type reservoirs.

[0050] In this embodiment, drilling data, logging data, well logging data, well test data and dynamic production data are all available; for cave-type reservoirs and fracture-type reservoirs, the data proportion of the drilling data is 0.2, the data proportion of the well logging data and logging data is 0.7, and the data proportion of the well test data and dynamic production data is 0.1;

[0051] The data ratio of the well logging data and mud logging data for the porous reservoir is 1.0.

[0052] If the proportion combination of the obtained data can meet the judgment conditions corresponding to a certain reservoir type, it can be judged as that reservoir type.

[0053] The cave-type reservoir is specifically identified by the presence of emptying and leakage in the drilling data in the static data; the loss of cuttings and fault breccia in the core in the logging data; the dual resistivity box-shaped morphology, significant reduction in density or acoustic wave in the logging data, and the fracture resistivity value in the resistance imaging logging being 10% lower than the resistivity value of the surrounding rock; the presence of a concave section of the pressure recovery curve in the well test combined with the dynamic production data; and the production dynamic data showing an initial test oil equivalent production capacity of more than 300 tons / day, which is identified as a cave-type reservoir.

[0054] The identification of fracture-type reservoirs is specifically based on the presence of drilling time less than 10 minutes / meter, oil and gas indications, and leakage less than 100 cubic meters in static data; the presence of cements such as calcite in rock cuttings and fractures distributed in groups in cores in logging data; the presence of double resistivity peaks, density or acoustic wave reduction in logging data, and fracture resistivity values ​​in resistivity imaging logging that are 10% lower than the resistivity of the surrounding rock; combined with the linear up-dip section of the pressure recovery curve in the well test in dynamic data; and the presence of oil equivalent production greater than 300 tons / day for no more than two months in production dynamic data, the reservoir is identified as a fracture-type reservoir.

[0055] The identification of the vuggy reservoir is specifically based on the microscopic thin sections of rock cuttings or cores in the static data logging data; the characteristics of oil and gas shows during the drilling process; the characteristics of the presence of oil and gas shows during the drilling process; and the characteristics of the oil equivalent production in the production dynamic data that always remains within a preset range, thereby determining it as a vuggy reservoir.

[0056] S4: Using the single-well database and the single-well reservoir space type identification criteria, summarize the most developed reservoir space type combinations in typical structural segments. Combined with strike-slip fault analysis and segmentation characteristics, the ultra-deep fault-controlled fracture-vuggy reservoir type is determined based on the single-well database and the "dynamic-static data" analysis method.

[0057] It should be noted that the "dynamic-static data" analysis method is to classify the data before and after the key completion nodes, and use static data such as seismic, drilling, mud logging and well logging to comprehensively characterize the type of fault-controlled reservoirs around the wellbore; use dynamic data such as well testing and production dynamics to assist in analyzing or verifying the type of fault-controlled reservoirs around and far from the wellbore, in order to determine the type of fault-controlled reservoirs within the well control range.

[0058] S41: Based on the understanding of the differential distribution of reservoir types formed by strike-slip fault structures, segmentation characteristics are determined through fault analysis of seismic data, and the most likely reservoir space type is preliminarily determined; the combination characteristics of the reservoir space type can form overlapping compression segments, overlapping tension segments and horizontal slip segments according to the different lateral connection modes of strike-slip fault segments.

[0059] The overlapping extrusion section is more conducive to forming a fracture-type reservoir under the action of local extrusion stress, but can form a cave-type reservoir at some locations under the condition of enhanced fault activity. The main body of the overlapping extrusion section is a fracture-cave type reservoir.

[0060] The overlapping tensile segments are more conducive to the formation of cave-type reservoirs under the action of local tensile stress, but fracture-type reservoirs develop within the fault fracture zone. The main body of the overlapping tensile segments is cave-fracture type reservoirs.

[0061] The horizontal slip section is more conducive to forming a fracture-type reservoir under the action of shear stress. As the strike-slip activity increases, a cave-type reservoir is formed at a local location. The main body of the horizontal slip section is a fracture-cave type reservoir.

[0062] S42: Based on the different reservoir spatial type identification methods in step S3, the "dynamic-static data" analysis method is used to determine the ultra-deep fault-controlled fracture-vuggy reservoir type; the drilling data, mud logging data, and well logging data in the static data are used to accurately determine the combination of reservoir types; and the test well data and production data in the dynamic data are used to assist in judging or verifying the rationality of the reservoir type combination.

[0063] Example 2:

[0064] An electronic device, comprising:

[0065] a memory storing executable instructions;

[0066] A processor runs the executable instructions in the memory to implement the above-mentioned method for determining the type of ultra-deep carbonate fault-controlled reservoir.

[0067] The above description is merely a preferred embodiment of the present invention. The scope of protection of the present invention is not limited to the above embodiment. All technical solutions based on the concept of the present invention are within the scope of protection of the present invention. It should be noted that for those skilled in the art, various improvements and modifications that do not depart from the principles of the present invention should also be considered within the scope of protection of the present invention.

Claims

1. A method for determining the type of ultra-deep carbonate fault-controlled reservoir, characterized in that: The following steps are involved: S1: Construct the three-dimensional spatial structure of different segments of the strike-slip fault zone, and based on the fault spatial structure, combine the basic units of reservoir types to determine the reservoir spatial type combination characteristics of fault-controlled reservoirs at different structural positions; S2: Collect data generated throughout the life cycle of a geological well, establish a single-well database of physical geological and engineering dynamic data of the drilled wells, and divide the single-well data into two categories: static data and dynamic data; S3: Based on the acquired single-well data, clarify the analytical data proportion of different data for different reservoir types, and establish "dynamic-static data" analysis methods for different reservoir spatial types; S4: Using the single-well database and the single-well reservoir space type identification criteria, summarize the most developed reservoir space type combinations in typical structural segments. Combined with strike-slip fault analysis and segmentation characteristics, the ultra-deep fault-controlled fracture-vuggy reservoir type is determined based on the single-well database and the "dynamic-static data" analysis method.

2. The method for determining the type of ultra-deep carbonate fault-controlled reservoir according to claim 1, characterized in that: The basic units of reservoir types described in step S1 include cave-type reservoirs, fracture-type reservoirs and pore-type reservoirs.

3. The method for determining the type of ultra-deep carbonate fault-controlled reservoir according to claim 2, characterized in that: In step S2, the data generated during the entire life cycle of the geological well includes drilling data, mud logging data, well logging data, well testing data and dynamic production data.

4. The method for determining the type of ultra-deep carbonate fault-controlled reservoir according to claim 3, characterized in that: In step S3, based on the basic unit of reservoir type, the "dynamic-static data" analysis method for reservoir spatial type identification includes cave-type reservoir identification, fracture-type reservoir identification, and pore-type reservoir identification.

5. The method for determining the type of ultra-deep carbonate fault-controlled reservoir according to claim 4, characterized in that: In step S3, based on the acquired single well data, the analysis data ratio of different data is determined to have multiple combinations: The drilling data, mud logging data, well logging data, well testing data and dynamic production data are all available; There are only drilling data, mud logging data, and dynamic production data; There are cases where only drilling data and logging data are missing core data and dynamic production data; There are cases where only drilling data and mud logging data are missing core data, well logging data, and dynamic production data; There are cases where only drilling data and logging data are missing core data, well logging data, well test data, and dynamic production data; If the proportion combination of the obtained data can meet the judgment conditions corresponding to a certain reservoir type, it can be judged as that reservoir type.

6. The method for determining the type of ultra-deep carbonate fault-controlled reservoir according to claim 5, characterized in that: The cave-type reservoir is specifically identified by the presence of emptying and leakage in drilling data in static data; cuttings loss and fault breccia in core in logging data; dual resistivity box-shaped morphology, density or acoustic wave reduction in logging data, and fracture resistivity value in resistance imaging logging lower than 10% of the surrounding rock resistivity value; the presence of a concave section of the pressure recovery curve in the well test combined with dynamic data; and the presence of an initial test oil equivalent production capacity greater than 300 tons / day in production dynamic data, which is identified as a cave-type reservoir.

7. The method for determining the type of ultra-deep carbonate fault-controlled reservoir according to claim 6, characterized in that: The identification of fracture-type reservoirs is specifically based on the presence of drilling time less than 10 minutes / meter, oil and gas indications, and leakage less than 100 cubic meters in static data; the presence of cements such as calcite in rock cuttings and fractures distributed in groups in cores in logging data; the presence of double resistivity peaks, density or acoustic wave reduction in logging data, and fracture resistivity values ​​in resistivity imaging logging that are 10% lower than the resistivity of the surrounding rock; combined with the linear up-dip section of the pressure recovery curve in the well test in dynamic data; and the presence of oil equivalent production greater than 300 tons / day for no more than two months in production dynamic data, the reservoir is identified as a fracture-type reservoir.

8. The method for determining the type of ultra-deep carbonate fault-controlled reservoir according to claim 7, characterized in that: The identification of the vuggy reservoir is specifically based on the microscopic thin section characteristics of rock cuttings or cores in static data logging data; the presence of oil and gas shows during the drilling process; and the oil equivalent production rate in production dynamic data always remaining within a preset range, thereby determining it as a vuggy reservoir.

9. The method for determining the type of ultra-deep carbonate fault-controlled reservoir according to claim 8, characterized in that: Step S4 specifically includes the following steps: S41: Based on the understanding of the differential distribution of reservoir types formed by strike-slip fault structures, the segmentation characteristics are determined through seismic data fault analysis, and the most likely reservoir spatial type combination is preliminarily determined; S42: Based on the different reservoir spatial types in step S3, the "dynamic-static data" analysis method is used to determine the type of ultra-deep fault-controlled fracture-vuggy reservoir. The static data, including drilling data, mud logging data, and well logging data, are used to accurately determine the combination of reservoir types. The dynamic data, including well test data and production data, are used to assist in determining or verifying the rationality of the reservoir type combination.

10. The method for determining the type of ultra-deep carbonate fault-controlled reservoir according to claim 9, characterized in that: In step S41, the reservoir space type combination may form overlapping compression segments, overlapping tension segments and horizontal slip segments according to different side connection modes of strike-slip fault segments.

11. The method for determining the type of ultra-deep carbonate fault-controlled reservoir according to claim 10, characterized in that: The overlapping extrusion section is conducive to forming a fracture-type reservoir under the action of local extrusion stress, but can form a cave-type reservoir at some locations under the condition of enhanced fault activity. The main body of the overlapping extrusion section is a fracture-cave type reservoir.

12. The method for determining the type of ultra-deep carbonate fault-controlled reservoir according to claim 10, characterized in that: The overlapping tensile segments are conducive to the formation of cave-type reservoirs under the action of local tensile stress, but fracture-type reservoirs develop within the fault fracture zone. The main body of the overlapping tensile segments is cave-fracture type reservoirs.

13. The method for determining the type of ultra-deep carbonate fault-controlled reservoir according to claim 10, characterized in that: The horizontal slip section is conducive to forming a fracture-type reservoir under the action of shear stress. As the strike-slip activity increases, a cave-type reservoir is formed at a local location. The main body of the horizontal slip section is a fracture-cave type reservoir.

14. The method for determining the type of ultra-deep carbonate fault-controlled reservoir according to claim 1, characterized in that: In step S1, a three-dimensional spatial structure of different segments of the strike-slip fault zone is constructed based on three-dimensional seismic data, fault analysis, field geology, structural simulation, numerical simulation and actual drilling data.

15. An electronic device, characterized in that: The electronic device comprises: a memory storing executable instructions; A processor, wherein the processor runs the executable instructions in the memory to implement the method for determining the type of an ultra-deep carbonate fault-controlled reservoir according to any one of claims 1 to 14.

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