Method, medium and equipment for evaluating reservoir-forming potential of fault block trap

By acquiring the geological parameters of fault-block traps, classifying fault functions and performing standardized calculations, a comprehensive evaluation function for hydrocarbon accumulation potential is established. This solves the problem of existing evaluation methods relying on experience, realizes the quantitative evaluation of the hydrocarbon accumulation potential of fault-block traps, and improves the accuracy and reliability of the evaluation.

CN121995485APending Publication Date: 2026-05-08PETROCHINA CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
PETROCHINA CO LTD
Filing Date
2026-01-09
Publication Date
2026-05-08

AI Technical Summary

Technical Problem

Existing methods for evaluating the hydrocarbon accumulation potential of fault-block traps mainly rely on geologists' experience and subjective judgment, resulting in insufficient accuracy and a lack of quantitative analysis in the evaluation results.

Method used

By acquiring the geological parameters of the target layer in the interrupted block trap of the target work area, classifying fault functions, standardizing the processing, calculating the capacity index of transport faults and shielding faults, and combining the trap accumulation index, a comprehensive evaluation function for hydrocarbon accumulation potential is established to achieve quantitative evaluation.

Benefits of technology

This paper presents a simple and easy-to-operate quantitative evaluation method, which improves the accuracy and reliability of evaluating the hydrocarbon accumulation potential of fault block traps and provides a scientific basis for oil and gas exploration and development.

✦ Generated by Eureka AI based on patent content.

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Abstract

The embodiment of the invention provides a fault block trap reservoir-forming potential evaluation method, a medium and equipment. The method comprises the following steps: acquiring geological parameters of a target layer of a fault block trap; classifying each fault corresponding to the target layer; based on the classification result of each fault in the corresponding fault block trap, standardizing the geological parameters to obtain standard geological parameters; calculating a standard fault parameter of a transport fault, and determining a transport capability index; calculating a standard fault parameter of the shielded fault, and determining a shielding capability index; calculating a standard trap parameter of the fault block trap, and determining a trap aggregation index; determining a reservoir forming potential index of the target layer according to the transport capability index, the shielding capability index and the trap aggregation index; and sorting the fault block traps according to the reservoir forming potential indexes of all the target layers of each fault block trap to obtain a reservoir forming potential sorting result of the fault block traps. Through a quantitative evaluation mode in the method, accurate evaluation of the reservoir forming potential of the fault block trap is realized.
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Description

Technical Field

[0001] This application relates to the field of petroleum technology, and more specifically, to a method, medium, and equipment for evaluating the hydrocarbon accumulation potential of fault-block traps. Background Technology

[0002] A trap is the smallest unit for oil and gas accumulation; the accumulation of oil and gas within a single trap constitutes an oil and gas reservoir. Fault-block traps are a type of fault trap, referring to structural traps formed by the intersection of two or more faults. During the process of oil and gas entering a fault-block trap to form an oil and gas reservoir, faults in the lower structural regions act as conduits for oil and gas, while faults in the higher structural regions act as barriers to oil and gas accumulation.

[0003] As an important trap type for oil and gas reservoirs, especially in the rift basins of eastern my country, the current evaluation of the trap's reservoir potential is mainly qualitative. That is, the current evaluation system relies heavily on geologists' experience, analogy, and subjective judgment. The evaluation results obtained through this method may have insufficient accuracy. Summary of the Invention

[0004] This application aims to provide a method, medium, and equipment for evaluating the hydrocarbon accumulation potential of fault-block traps, with the goal of achieving accurate evaluation of the hydrocarbon accumulation potential of fault-block traps through quantitative means.

[0005] The first aspect of this application provides a method for evaluating the hydrocarbon accumulation potential of fault-block traps, the method comprising: Obtain the geological parameters of the target layer of the interrupted block in the target work area, including the trapping parameters and the fault parameters of each fault corresponding to the target layer; Based on the function of each fault in the target layer for oil and gas migration in the fault block trap, each fault in the target layer is classified to obtain the classification results of each fault in the corresponding fault block trap. Based on the classification results of each fault in the corresponding fault block trap, the geological parameters of the target layer are standardized to obtain the standard geological parameters of the target layer. The standard geological parameters include standard trap parameters and standard fault parameters of each fault corresponding to the target layer. The standard fault parameters of the target transport fault are calculated to determine the transport capacity index of the target transport fault; where the target transport fault is the transport fault corresponding to the target layer of the fault block trap. The standard fault parameters of the target shading fault are calculated to determine the shading capacity index of the target shading fault; where the target shading fault is the shading fault corresponding to the target layer of the fault block closure. The standard trapping parameters corresponding to the target layer of the fault-block trap are calculated to determine the trapping aggregation index of the target layer of the fault-block trap. The hydrocarbon accumulation potential index of the target layer of the fault block trap is determined based on the transport capacity index of the target transport fault, the shielding capacity index of the target shielding fault, and the trap accumulation index of the target layer of the fault block trap. Based on the hydrocarbon accumulation potential index corresponding to all target layers of each fault-block trap, the fault-block traps in the target work area are sorted to obtain the hydrocarbon accumulation potential ranking results of the fault-block traps.

[0006] Optionally, the geological parameters of the target layer are standardized according to the genetic type of the fault-block trap to obtain the standard geological parameters of the target layer, including: Based on the transport faults corresponding to the target layers of each fault-block trap, fault-block traps with the same transport faults are identified as fault-block traps of the same genetic type. Based on the geological parameters of the target layer of all fault-block traps of the same genetic type, the geological parameters of the target layer of each fault-block trap in the same genetic type are standardized to obtain the standard geological parameters of the target layer of each fault-block trap. If the target layer of the fault-block trap has multiple transport faults, the fault-block trap is classified into the genetic type corresponding to any one of the transport faults.

[0007] Optionally, based on the geological parameters of the target layers of all fault-block traps of the same genetic type, the geological parameters of the target layers of each fault-block trap within the same genetic type are standardized to obtain the standard geological parameters of the target layers of each fault-block trap, including: Select the maximum value from the geological parameters of the target layer of all fault-block traps of the same genetic type; The maximum value and the geological parameters of the target layer of each fault-block trap in the same genetic type are substituted into the standardization algorithm to calculate the standard geological parameters of the target layer of each fault-block trap. The expression for the standardization algorithm is:

[0008] in, For the i-th type of standard geological parameters in the target layer of the fault block trap, The absolute value of the i-th type of geological parameter in the target layer of the fault block trap; It represents the maximum value of the same type of geological parameter among geological parameters of the same origin.

[0009] Optionally, standard fault parameters of the target conducting fault are calculated to determine the conducting capacity index of the target conducting fault, including: The standard fault parameters of the target transport fault are substituted into the transport capacity index algorithm to obtain the transport capacity index of the target transport fault. The expression for the conduction capacity index algorithm is as follows:

[0010] in: The j-th element is the conductivity index of the target conduction fault. The fault activity rate is a standard fault parameter for the target transport fault. The fault dip angle is one of the standard fault parameters for the target transport fault. For the standard fault parameters of the target transport fault, the fault plane curvature. The fault smearing factor is a standard fault parameter for the target transport fault.

[0011] Optionally, standard fault parameters of the target shading fault are calculated to determine the shading capacity index of the target shading fault; wherein, the target shading fault is the shading fault corresponding to the target layer of the fault block closure, including: The standard fault parameters of the target shading fault are substituted into the shading capacity index algorithm to obtain the shading capacity index of the target shading fault. The expression for the occlusion capability index algorithm is:

[0012] in, The m-th element is the shielding capability index of the target shielding fault. The fault smearing factor in the standard fault parameters for masking the fault of the target. The fault activity rate in the standard fault parameters for shielding the target fault. The fault dip angle in the standard fault parameters for shielding the target fault. The fault plane curvature in the standard fault parameters for shielding the target fault.

[0013] Optionally, the standard trapping parameters corresponding to the target layer of the fault-block trap are calculated to determine the trapping aggregation index of the target layer of the fault-block trap, including: Substitute the standard trapping parameters corresponding to the target layer of the fault-block trapping into the trapping clustering index algorithm to calculate the trapping clustering index of the target layer of the fault-block trapping. The expression for the trapping clustering index algorithm is:

[0014] in, It is the trap clustering index of the x-th target layer of the fault-block trap. The trap reservoir thickness is the standard trap parameter corresponding to the target layer. This refers to the trapped reservoir area in the standard trap parameters corresponding to the target layer. The formation dip angle is the standard trap parameter corresponding to the target layer. The mud-to-soil ratio in the standard trap parameters corresponding to the target layer. The burial depth is the trap depth in the standard trap parameters corresponding to the target layer.

[0015] Optionally, the hydrocarbon accumulation potential index of the target layer of the fault-block trap is determined based on the conductivity index of the target conduction fault, the blocking capacity index of the target blocking fault, and the trap accumulation index of the target layer of the fault-block trap, including: The transport capacity index of the target transport fault, the shielding capacity index of the target shielding fault, and the trapping and accumulation index of the target layer of the fault block trap are substituted into the hydrocarbon accumulation potential index algorithm to obtain the hydrocarbon accumulation potential index of the target layer of the fault block trap. The expression for the hydrocarbon accumulation potential index algorithm is as follows:

[0016] in, is the hydrocarbon accumulation potential index of the x-th target layer of the fault-block trap, where n is the number of transport faults corresponding to the target layer of the fault-block trap. It is the conductivity index of the target conduction fault. It is the smallest shading capacity index among all shading faults corresponding to the target layer of the block trap. It is the trap aggregation index of the xth target layer of the fault-block trap.

[0017] Optionally, based on the hydrocarbon accumulation potential index corresponding to all target layers of each fault-block trap, the fault-block traps in the target work area are sorted to obtain the hydrocarbon accumulation potential ranking results, including: Based on the hydrocarbon accumulation potential index corresponding to all target layers of each fault block trap, determine the average hydrocarbon accumulation potential index of each fault block trap; The average hydrocarbon accumulation potential index corresponding to each fault-block trap within the target work area is sorted in descending order to obtain the ranking result of the hydrocarbon accumulation potential of the fault-block traps.

[0018] The second aspect of this application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps in the method for evaluating the hydrocarbon accumulation potential of fault-block traps as described in any of the first aspects.

[0019] A third aspect of this application provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the steps of the method for evaluating the hydrocarbon accumulation potential of fault traps as described in any of the first aspects.

[0020] Beneficial effects: This application provides a method for evaluating the hydrocarbon accumulation potential of fault-block traps. The method includes: obtaining geological parameters of the target layer of the fault-block trap in the target work area, the geological parameters including trap parameters and fault parameters of each fault corresponding to the target layer; classifying each fault corresponding to the target layer according to its function in hydrocarbon migration within the fault-block trap; standardizing the geological parameters of the target layer according to the genetic type of the fault-block trap to obtain standard geological parameters of the target layer, the standard geological parameters including standard trap parameters and standard fault parameters of each fault corresponding to the target layer; calculating the standard fault parameters of the target transport faults to determine the transport capacity index of the target transport faults; wherein, the target transport faults... The following steps are taken: First, identify the transport faults corresponding to the target layers of the fault-block traps. Second, calculate the standard fault parameters of the target shielding faults to determine their shielding capacity index. The target shielding faults are defined as the shielding faults corresponding to the target layers of the fault-block traps. Third, calculate the trapping and accumulation index of the target layers of the fault-block traps to determine their trapping and accumulation index. Fourth, determine the hydrocarbon accumulation potential index of the target layers of the fault-block traps based on the transport capacity index of the target transport faults, the shielding capacity index of the target shielding faults, and the trapping and accumulation index of the target layers of the fault-block traps. Fifth, rank the fault-block traps in the target work area according to the hydrocarbon accumulation potential indices corresponding to all target layers of each fault-block trap to obtain the hydrocarbon accumulation potential ranking results.

[0021] The method for evaluating the hydrocarbon accumulation potential of fault-block traps provided in this application overcomes the problem of inaccurate evaluation results caused by the failure of existing methods to distinguish between conducting faults and blocking faults. It establishes evaluation functions for the conduction capacity of conducting faults, the blocking capacity of blocking faults, and the accumulation capacity of the trap, enabling graded evaluation of each individual geological function of the fault-block trap. Based on this, a comprehensive evaluation function for the hydrocarbon accumulation potential of fault-block traps is established, achieving graded and quantitative evaluation of the overall hydrocarbon accumulation potential of fault-block traps. This evaluation process is simple, easy to operate, and highly applicable in the field. The evaluation results can provide a basis for the deployment of exploration and development wells in the next stage. Attached Figure Description

[0022] To more clearly illustrate the technical solutions of the embodiments of this application, the drawings used in the description of the embodiments of this application will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0023] Figure 1 This is a flowchart of a method for evaluating the hydrocarbon accumulation potential of fault-block traps according to an embodiment of this application; Figure 2 This is a schematic cross-sectional view of the fault distribution in a block trap provided in one embodiment of this application; Figure 3 This is a schematic diagram of the classification results of the formation type of block closure provided in an embodiment of this application. Detailed Implementation

[0024] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0025] This application proposes a method for evaluating the hydrocarbon accumulation potential of fault-block traps, which enables accurate evaluation of the hydrocarbon accumulation potential of fault-block traps. For example... Figure 1 As shown, this application provides a flowchart of a method for evaluating the hydrocarbon accumulation potential of fault-block traps, the method comprising: S11: Obtain the geological parameters of the target layer of the interrupted block in the target work area. The geological parameters include the trapping parameters and the fault parameters of each fault corresponding to the target layer.

[0026] In this application, the target work area refers to an oil and gas rich area containing several fault-block traps. A fault-block trap is a closed geological unit formed by fault cutting and sealing, capable of independently accumulating oil and gas. It is one of the main locations for oil and gas reservoirs; therefore, evaluating the reservoir potential of fault-block traps is a core focus of oil and gas exploration and development research. A fault is a geological structure in which crustal rock layers fracture under stress and undergo significant displacement (faulting) along the fracture surface. It is like a huge rock being broken open, with the two sides shifting relative to each other, forming cracks and dislocation surfaces.

[0027] Within a fault-block trap, the specific layers capable of storing oil and gas are called reservoirs. These reservoirs are the key layers for evaluating the hydrocarbon accumulation potential in this application, and are also layers with evaluation value. This application identifies these reservoirs as target layers to be evaluated within the fault-block trap. In this embodiment, taking one target layer within the fault-block trap as an example, the transport and shielding capabilities of that target layer are evaluated. The same steps are followed for other target layers within the fault-block trap, and will not be elaborated here.

[0028] Specifically, geological parameters of the target layer within the fault-block trap in the target work area are obtained through seismic data. These parameters include trap parameters and fault parameters of each fault corresponding to the target layer. A fault-block trap is formed by at least two faults, and the target layer within that trap also corresponds to at least two faults. Therefore, when obtaining the fault parameters of the target layer, it is necessary to obtain the fault parameters of each fault corresponding to the target layer. These fault parameters include fault dip angle, fault surface curvature, fault smearing factor, and fault activity rate, while trap parameters include reservoir thickness, formation dip angle, and mud-soil ratio. Taking fault dip angle as an example, the fault dip angle specifically refers to the local dip angle of the portion of the fault plane that intersects with a particular target layer. This is because fault morphology often varies spatially, and the lithological and mechanical properties of different strata differ, resulting in inconsistent dip angles across different fault segments. Therefore, for a fault-block trap containing multiple target layers, the fault dip angle corresponding to each target layer is only the local dip angle of that fault. Other fault parameters are equivalent. Trap parameters also refer to the parameters corresponding to the target layer, such as reservoir thickness, which refers to the thickness of the target layer.

[0029] S12: Based on the function of each fault corresponding to the target layer in the migration of oil and gas in the fault block trap, classify each fault corresponding to the target layer to obtain the classification results of each fault in the corresponding fault block trap.

[0030] In geological exploration, faults are typically classified into transport faults and shielding faults based on their functional properties. Transport faults act as "channels" for hydrocarbon migration, facilitating the entry of hydrocarbons into traps; shielding faults act as "barriers," preventing hydrocarbon escape. Both together determine the effectiveness of fault-block traps and are directly related to the fault's effect on hydrocarbon accumulation. Traditional methods for qualitatively evaluating the hydrocarbon accumulation potential of fault-block traps usually classify faults into a single category: either transporting or shielding. However, in this application, considering that multiple fault-block traps may share the same fault, and that the same fault may play different roles in different traps, leading to varying fault classification results, this application abandons the traditional single-crime judgment logic based solely on the fault itself. Instead, it uses the fault-block trap as the core unit, independently analyzing the fault function within each trap. This allows the same fault to exhibit both transporting and shielding attributes in different traps, achieving dynamic classification and more accurately matching actual geological conditions.

[0031] Specifically, such as Figure 2 As shown, this application also provides a schematic cross-sectional view of fault distribution in a fault-block trap. Figure 2In this study, fault-block traps A and B share a common fault. This fault is located in the structural high part of trap A, and its function is to block the upward migration of oil and gas within trap A; therefore, this fault is a blocking fault in trap A. However, this same fault is also located in the structural low part of trap B, and its function is to guide the upward migration of oil and gas; therefore, this fault is a transport fault in trap B. Each fault corresponding to the target layer within a fault-block trap is classified based on its role within the trap. After classifying all faults corresponding to the target layer in all fault-block traps within the target work area, several classification results were obtained, including cases where a transport fault is shared by multiple fault-block traps and a blocking fault is shared by multiple fault-block traps.

[0032] S13: Based on the classification results of each fault in the corresponding fault block trap, the geological parameters of the target layer are standardized to obtain the standard geological parameters of the target layer. The standard geological parameters include standard trap parameters and standard fault parameters of each fault corresponding to the target layer.

[0033] Based on the classification results above, where a single transport fault is shared by multiple block traps, this embodiment classifies multiple block traps sharing the same transport fault as the same type of block trap. Then, based on the geological parameters corresponding to the target layers of all block traps within the same type, the geological parameters of the target layers of each block trap are standardized to obtain the standard geological parameters of the target layers for each block trap. Since the geological parameters include trap parameters and fault parameters of each fault, the standardized geological parameters also include the standard trap parameters and the standard fault parameters of each fault corresponding to the target layer.

[0034] In this embodiment, the purpose of standardizing geological parameters is to eliminate the differences in dimensions, ranges, or magnitudes of geological parameters between different fault block traps, so that the geological parameters of target layers within the same type are comparable, thereby improving the accuracy and reliability of trap hydrocarbon accumulation potential evaluation.

[0035] S14: Calculate the standard fault parameters of the target transport fault to determine the transport capacity index of the target transport fault; wherein, the target transport fault is the transport fault corresponding to the target layer of the block trap.

[0036] The conductivity of transport faults affects hydrocarbon migration efficiency; strong conductivity promotes efficient hydrocarbon entry into fault-block traps, increasing hydrocarbon injection. Therefore, this embodiment quantitatively determines the conductivity of transport faults in fault-block traps. Specifically, after standardizing the geological parameters corresponding to the target layer of the fault-block trap, the standard fault parameters corresponding to the transport fault of the target layer are calculated to obtain the conductivity index of the transport fault. Since a fault-block trap may contain multiple transport faults, the conductivity index of each transport fault is calculated, ultimately obtaining the conductivity indices of each transport fault corresponding to the target layer in the fault-block trap.

[0037] S15: Calculate the standard fault parameters of the target shading fault to determine the shading capacity index of the target shading fault; wherein, the target shading fault is the shading fault corresponding to the target layer of the fault block closure.

[0038] The shielding capacity of shielding faults determines the sealing properties of fault-block traps. Strong shielding capacity effectively prevents oil and gas escape and maintains oil and gas accumulation within the fault-block trap. Therefore, this embodiment also quantitatively determines the shielding capacity of shielding faults in fault-block traps. Specifically, based on the standard fault parameters of the shielding faults corresponding to the target layer, the shielding capacity index of the shielding fault is calculated. Since there may be multiple shielding faults in a fault-block trap, the shielding capacity index is calculated for each shielding fault in the fault-block trap, ultimately obtaining the shielding capacity index of each shielding fault corresponding to the target layer in the fault-block trap.

[0039] S16: Calculate the standard trapping parameters corresponding to the target layer of the fault-block trap to determine the trapping aggregation index of the target layer of the fault-block trap.

[0040] The trap accumulation capacity reflects the oil storage space and sealing conditions of the target layer in a fault-block trap. Strong accumulation capacity directly improves oil and gas storage capacity and stability. Therefore, in this embodiment, the trap accumulation capacity of the target layer in the fault-block trap is quantitatively determined. Specifically, based on standardized standard trap parameters, the standard trap parameters of the target layer in the fault-block trap are calculated to obtain a trap accumulation index that reflects the trap accumulation capacity of the target layer.

[0041] S17: Determine the hydrocarbon accumulation potential index of the target layer of the fault block trap based on the conductivity index of the target conduction fault, the shielding index of the target shielding fault, and the trap accumulation index of the target layer of the fault block trap.

[0042] In this embodiment, the transmission capacity index of each transmission fault, the blocking capacity index of each blocking fault, and the trap accumulation index of the target layer obtained through the above steps are comprehensively calculated to obtain a hydrocarbon accumulation potential index that can comprehensively evaluate the target layer with fault block trapping.

[0043] S18: Based on the hydrocarbon accumulation potential index corresponding to all target layers of each fault-block trap, sort the fault-block traps in the target work area to obtain the hydrocarbon accumulation potential ranking results of the fault-block traps.

[0044] Within a fault-block trap, there are multiple target layers with evaluable value. The preceding steps yield the hydrocarbon accumulation potential index corresponding to each target layer within the trap. Then, the average value of all hydrocarbon accumulation potential indices corresponding to the trap is calculated to obtain a numerical value reflecting the overall hydrocarbon accumulation potential of the trap—the evaluation hydrocarbon accumulation potential index. In the target work area, multiple fault-block traps exist. The average hydrocarbon accumulation capacity index corresponding to each trap is calculated, and these indices are sorted in descending order to obtain a ranking result reflecting the hydrocarbon accumulation potential of each trap within the target work area. The higher the average hydrocarbon accumulation capacity index, the higher the ranking of the trap, indicating a better hydrocarbon accumulation effect.

[0045] In one embodiment of the above embodiments, the present invention also provides a method for evaluating the hydrocarbon accumulation potential of fault-block traps. In this method, step S13 includes steps S21 to S22: S21: Based on the transmission faults corresponding to the target layers of each fault-block trap, fault-block traps with the same transmission faults are identified as fault-block traps of the same genetic type.

[0046] S22: Based on the geological parameters of the target layer of all fault-block traps of the same genetic type, the geological parameters of the target layer of each fault-block trap in the same genetic type are standardized to obtain the standard geological parameters of the target layer of each fault-block trap. If the target layer of the fault-block trap has multiple transport faults, the fault-block trap is classified into the genetic type corresponding to any one of the transport faults.

[0047] Specifically, based on the classification results of each fault in its corresponding fault-block trap, the transport faults of the target layer of each fault-block trap are determined, and multiple fault-block traps with the same transport fault are classified as fault-block traps of the same genetic type. For example, in the target work area, there are eight fault-block traps: A1, A2, A3, A4, B1, B2, B3, and B4. Among them, four fault-block traps, A1, A2, A3, and A4, all have fault A as their transport fault, and four fault-block traps, B1, B2, B3, and B4, all have fault B as their transport fault. Therefore, four fault-block traps, A1, A2, A3, and A4, are classified as fault-block traps of the same genetic type, and four fault-block traps, B1, B2, B3, and B4, are also classified as fault-block traps of the same genetic type. Specifically, such as... Figure 3As shown in the figure, this embodiment also provides a schematic diagram of the classification results of fault block trap formation types. Considering the influence of fault complexity, some fault block traps have multiple transport faults in their target layers. Therefore, when classifying the formation of fault block traps, the fault block trap can be classified into any one of the transport fault formation types.

[0048] The geological parameters of the target layers of fault-block traps of the same genetic type are grouped together, and the maximum value among the geological parameters of the same type is selected. Based on this maximum value, the geological parameters of the target layers of each fault-block trap are standardized. That is, in the example above, the geological parameters corresponding to the target layers of the four fault-block traps A1, A2, A3, and A4 are grouped together, the maximum value among the geological parameters of the same type is selected, and then the geological parameters of the target layer of the A1 fault-block trap are standardized, and so on. After standardization, the standard geological parameters of the target layers of each fault-block trap are obtained.

[0049] In one embodiment of the above embodiments, the present invention also provides a method for evaluating the hydrocarbon accumulation potential of fault-block traps. In this method, step S22 includes steps S31 to S33: S31: Select the maximum value of the geological parameters of the target layer from all fault-block traps of the same genetic type.

[0050] S32: Substitute the maximum value and the geological parameters of the target layer of each fault-block trap in the same genetic type into the standardization algorithm to obtain the standard geological parameters of the target layer of each fault-block trap.

[0051] S33: The expression for the standardization algorithm is:

[0052] in, For the i-th type of standard geological parameters in the target layer of the fault block trap, The absolute value of the i-th type of geological parameter in the target layer of the fault block trap; It represents the maximum value of the same type of geological parameter among geological parameters of the same origin.

[0053] The geological parameters of all target layers with the same genetic type of fault-block traps are collected. From these parameters, the maximum value of each type is selected. Then, based on this maximum value, the geological parameters of that type corresponding to each target layer of fault-block traps are standardized. Specifically, this embodiment provides a standardization algorithm. The maximum value of the same type of geological parameter and the same type of geological parameter of the target layer to be standardized are substituted into the standardization algorithm for calculation to obtain the standard geological parameters of the target layer. After substituting the geological parameters of all target layers with fault-block traps into the standardization algorithm, the standard geological parameters corresponding to each target layer with fault-block traps are obtained.

[0054] The expression for this standardized algorithm is:

[0055] in, For the i-th type of standard geological parameters in the target layer of the fault block trap, The absolute value of the i-th type of geological parameter in the target layer of the fault block trap; It represents the maximum value of the same type of geological parameter among geological parameters of the same origin.

[0056] In one embodiment of the above embodiments, the present invention also provides a method for evaluating the hydrocarbon accumulation potential of fault-block traps. In this method, step S14 includes steps S41 to S42: S41: Substitute the standard fault parameters of the target transport fault into the transport capacity index algorithm to obtain the transport capacity index of the target transport fault; S42: The expression for the conduction capacity index algorithm is:

[0057] in: The j-th element is the conductivity index of the target conduction fault. The fault activity rate is a standard fault parameter for the target transport fault. The fault dip angle is one of the standard fault parameters for the target transport fault. For the standard fault parameters of the target transport fault, the fault plane curvature. The fault smearing factor is a standard fault parameter for the target transport fault.

[0058] This embodiment provides a conductivity index algorithm. Specifically, by substituting the standard fault parameters of the target conductivity fault into the conductivity index algorithm, the conductivity index of the target conductivity fault can be obtained. Here, the target conductivity fault refers to a conductivity fault corresponding to a target layer within a fault-block trap. Standard fault parameters refer to the standardized fault activity rate, fault dip angle, fault plane curvature, and fault smearing factor. Substituting these standard fault parameters into the conductivity index algorithm, the conductivity index of the conductivity fault corresponding to those standard fault parameters can be obtained. The expression for the conductivity index algorithm is:

[0059] in: The j-th element is the conductivity index of the target conduction fault. The fault activity rate is a standard fault parameter for the target transport fault. The fault dip angle is one of the standard fault parameters for the target transport fault. For the standard fault parameters of the target transport fault, the fault plane curvature. The fault smearing factor is a standard fault parameter for the target transport fault.

[0060] In one embodiment of the above embodiments, the present invention also provides a method for evaluating the hydrocarbon accumulation potential of fault-block traps. In this method, step S15 includes steps S51 to S52: S51: Substitute the standard fault parameters of the target shading fault into the shading capacity index algorithm to obtain the shading capacity index of the target shading fault.

[0061] S52: The expression for the occlusion capability index algorithm is:

[0062] in, The m-th element is the shielding capability index of the target shielding fault. The fault smearing factor in the standard fault parameters for masking the fault of the target. The fault activity rate in the standard fault parameters for shielding the target fault. The fault dip angle in the standard fault parameters for shielding the target fault. The fault plane curvature in the standard fault parameters for shielding the target fault.

[0063] This embodiment provides an occlusion capability index algorithm. Specifically, by substituting the standard fault parameters of the target occlusion fault into the occlusion capability index algorithm, the corresponding occlusion capability index can be obtained. The target occlusion fault refers to an occlusion fault corresponding to a target layer within a fault block trap. Standard fault parameters include the fault activity rate, fault dip angle, fault surface curvature, and fault smearing factor of the occlusion fault. The expression for this occlusion capability index algorithm is:

[0064] in, The m-th element is the shielding capability index of the target shielding fault. The fault smearing factor in the standard fault parameters for masking the fault of the target. The fault activity rate in the standard fault parameters for shielding the target fault. The fault dip angle in the standard fault parameters for shielding the target fault. The fault plane curvature in the standard fault parameters for shielding the target fault.

[0065] In one embodiment of the above embodiments, the present invention also provides a method for evaluating the hydrocarbon accumulation potential of fault-block traps. In this method, step S16 includes steps S61 to S62: S61: Substitute the standard trapping parameters corresponding to the target layer of the fault-block trapping into the trapping clustering index algorithm to obtain the trapping clustering index of the target layer of the fault-block trapping.

[0066] S62: The expression for the trapping clustering index algorithm is:

[0067] in, It is the trap clustering index of the x-th target layer of the fault-block trap. The trap reservoir thickness is the standard trap parameter corresponding to the target layer. This refers to the trapped reservoir area in the standard trap parameters corresponding to the target layer. The formation dip angle is the standard trap parameter corresponding to the target layer. The mud-to-soil ratio in the standard trap parameters corresponding to the target layer. The burial depth is the trap depth in the standard trap parameters corresponding to the target layer.

[0068] This embodiment provides a trap clustering index algorithm, based on which the trap clustering index of the target layer of a fault-block trap can be obtained. Specifically, by substituting the standard trap parameters corresponding to the target layer of the fault-block trap into the trap clustering index algorithm for calculation, the trap clustering index of the target layer of the fault-block trap can be obtained. These standard trap parameters are the standardized trap reservoir thickness, trap reservoir area, formation dip angle, mud-soil ratio, and trap burial depth. The expression for the trap clustering index algorithm is:

[0069] in, It is the trap clustering index of the x-th target layer of the fault-block trap. The trap reservoir thickness is the standard trap parameter corresponding to the target layer. This refers to the trapped reservoir area in the standard trap parameters corresponding to the target layer. The formation dip angle is the standard trap parameter corresponding to the target layer. The mud-to-soil ratio in the standard trap parameters corresponding to the target layer. The burial depth is the trap depth in the standard trap parameters corresponding to the target layer.

[0070] In one embodiment of the above embodiments, the present invention also provides a method for evaluating the hydrocarbon accumulation potential of fault-block traps. In this method, step S17 includes steps S71 to S72: S71: Substitute the conduction capacity index of the target conduction fault, the shielding capacity index of the target shielding fault, and the trapping and accumulation index of the target layer of the fault block trap into the hydrocarbon accumulation potential index algorithm to obtain the hydrocarbon accumulation potential index of the target layer of the fault block trap.

[0071] S72: The expression for the hydrocarbon accumulation potential index algorithm is:

[0072] Among them, among them, is the hydrocarbon accumulation potential index of the x-th target layer of the fault-block trap, where n is the number of transport faults corresponding to the target layer of the fault-block trap. It is the conductivity index of the target conduction fault. It is the smallest shading capacity index among all shading faults corresponding to the target layer of the block trap. It is the trap aggregation index of the xth target layer of the fault-block trap.

[0073] This embodiment also provides an hydrocarbon accumulation potential index algorithm. This algorithm can obtain an hydrocarbon accumulation potential index that reflects the hydrocarbon accumulation capacity of the target layer within a fault-block trap. The higher the value of the hydrocarbon accumulation potential index, the greater the hydrocarbon accumulation capacity of the target layer, and the better the oil and gas reservoir. Specifically, by substituting the conduction capacity indices of all conduction faults, the blocking capacity indices of all blocking faults, and the trap accumulation index corresponding to the target layer of the fault-block trap into the hydrocarbon accumulation potential index algorithm, the hydrocarbon accumulation potential index of the target layer of the fault-block trap can be obtained. The expression for this hydrocarbon accumulation potential index algorithm is:

[0074] in, is the hydrocarbon accumulation potential index of the x-th target layer of the fault-block trap, where n is the number of transport faults corresponding to the target layer of the fault-block trap. It is the conductivity index of the target conduction fault. It is the smallest shading capacity index among all shading faults corresponding to the target layer of the block trap. It is the trap aggregation index of the xth target layer of the fault-block trap.

[0075] In one embodiment of the above embodiments, the present invention also provides a method for evaluating the hydrocarbon accumulation potential of fault-block traps. In this method, step S18 includes steps S81 to S82: S81: Determine the average hydrocarbon accumulation potential index of each fault-block trap based on the hydrocarbon accumulation potential index corresponding to all target layers of each fault-block trap.

[0076] S82: Sort the average hydrocarbon accumulation potential index corresponding to each fault-block trap in the target work area in descending order to obtain the ranking result of the hydrocarbon accumulation potential of the fault-block trap.

[0077] Specifically, based on the method for obtaining the hydrocarbon accumulation potential index of the target layer of the fault-block trap, the hydrocarbon accumulation potential index corresponding to each target layer of the fault-block trap is obtained. Then, the average hydrocarbon accumulation potential index of the fault-block trap is calculated by averaging all the hydrocarbon accumulation potential indices. This average hydrocarbon accumulation potential index reflects the overall hydrocarbon accumulation potential of the fault-block trap. Using the same method, the average hydrocarbon accumulation potential index corresponding to each fault-block trap in the target work area is obtained. All the average hydrocarbon accumulation potential indices in the target work area are sorted in descending order. The resulting sort is the hydrocarbon accumulation potential ranking result of the fault-block traps in the target work area. In this ranking result, the larger the hydrocarbon accumulation potential index, the better the hydrocarbon accumulation effect of the corresponding fault-block trap.

[0078] To better illustrate the above embodiments of this application, the following examples are also provided for explanation: The Nanpu Depression is an important oil and gas enrichment area in the Bohai Bay Basin. The oil and gas resources discovered so far are mainly concentrated in fault block traps, characterized by a large number of fault block traps and significant differences in the degree of oil and gas enrichment in different fault block traps. The evaluation of the oil and gas accumulation potential of fault block traps has always been a key and difficult point in oil and gas exploration and development research.

[0079] In the following embodiments, taking the Nanpu Depression in the Bohai Bay Basin as an example, eight fault-block traps were selected for evaluation. Three of these traps have been confirmed to be oil-bearing, one has been confirmed to be oil-free, and the remaining four are traps to be evaluated. The evaluation method of this invention was used to evaluate the eight fault-block traps. The reliability of the evaluation results was verified using four confirmed oil-bearing traps. Specifically, the following steps were included: Step S1: Obtain the geological parameters of the target layer of the fault-block trap through experimental recording. These geological parameters include fault parameters and trap parameters. Fault parameters include: fault planar location, fault depth, fault dip angle, fault plane curvature, fault smearing factor, and fault activity rate. Trap parameters include: trap reservoir thickness, trap reservoir area, formation dip angle, mud-soil ratio, and trap depth.

[0080] Taking the target fault trap A1 as an example, the parameters are shown in Table 1.

[0081] Table 1:

[0082] Step S2: Classify the faults corresponding to the target layer. Specifically: (1) Faults that play a role in preventing the loss of oil and gas during the oil and gas accumulation process and are located in the high part of the fault block trap structure are identified as shielding faults of the fault block trap; faults that play a role in transporting oil and gas during the oil and gas accumulation process and are located in the low part of the fault block trap structure are identified as transporting faults.

[0083] (2) Several block traps formed by the same transport fault and different blocking faults are classified as block traps of the same genetic type.

[0084] like Figure 3 As shown, the eight fault blocks to be evaluated in the Nanpu Depression are formed by multiple faults. Among them, faults A and B cut through the source rocks and are identified as transport faults trapped in the tectonic high position. Based on the spatial combination relationship between the transport faults and the fault block traps, the eight fault block traps to be evaluated can be divided into two genetic types. Specifically, the four fault block traps A1, A2, A3, and A4, with fault A as the transport fault, belong to the same genetic type; the four fault block traps B1, B2, B3, and B4, with fault B as the transport fault, also belong to the same genetic type.

[0085] It should be particularly noted that, due to the complexity of faults, some block traps contain multiple transport faults. When classifying the genesis of a block trap, it is sufficient to assign the trap to any one of these transport fault genesis types. For example... Figure 3 As shown, fault block A1 has two transport faults, fault A and fault C, while fault block B1 has two transport faults, fault B and fault C. In this evaluation, fault blocks A1 and B1 are classified as having the transport fault type with fault A as the transport fault and the transport fault type with fault B as the transport fault, respectively.

[0086] Step 3: Based on the classification results of each fault in its corresponding fault-block trap, the geological parameters of the target layer are standardized to obtain the standard geological parameters of the target layer. These include: For fault block traps of the same origin, the geological parameters are standardized and calculated using the following formula:

[0087] in, For the i-th type of standard geological parameters in the target layer of the fault block trap, The absolute value of the i-th type of geological parameter in the target layer of the fault block trap; It represents the maximum value of the same type of geological parameter among geological parameters of the same origin.

[0088] Taking the target fault block trap A1 as an example, the geological parameters of the A1 fault block trap listed in Table 1 are standardized with the corresponding geological parameters of the three fault block traps of the same origin, A2, A3, and A4, to obtain the standardized values ​​of the geological parameters of the fault block trap A1. The results are shown in Table 2.

[0089] Table 2:

[0090] Step 4: Calculate the conductivity index of the transport fault in the target layer of the block trap: The standardized fault parameters of the transport fault are substituted into the transport capacity index algorithm to obtain the transport capacity index of the transport fault.

[0091] Step 5: Calculate the shielding capacity index of the shielding fault in the target layer of the fault block trap: The standardized fault parameters of the shading fault are substituted into the shading capacity index algorithm for calculation to obtain the shading capacity index of the shading fault.

[0092] Step 6: Calculate the trapping aggregation index of the target layer of the fault-block trap: The standardized trapping parameters are substituted into the trapping clustering index algorithm for calculation to obtain the trapping clustering index of the target layer of the fault-block trapping.

[0093] Using the method described above, the conduction capacity index of each conducting fault, the blocking capacity index of each blocking fault, and the trap aggregation index of the eight fault blocks in Block M of the Nanpu Depression were calculated. The calculation results are shown in Table 3.

[0094] Table 3:

[0095] Step 7: Determine the hydrocarbon accumulation potential index of the target layer of the fault-block trap: Substituting the transport capacity index, shading capacity index, and trapping and aggregation index of the target layer of the fault-block trap into the following algorithm, the hydrocarbon accumulation potential index of the target layer of the fault-block trap is obtained.

[0096]

[0097] In the formula, is the hydrocarbon accumulation potential index of the x-th target layer of the fault-block trap, where n is the number of transport faults corresponding to the target layer of the fault-block trap. It is the conductivity index of the target conduction fault. It is the smallest shading capacity index among all shading faults corresponding to the target layer of the block trap. It is the trap aggregation index of the xth target layer of the fault-block trap.

[0098] Step 8: Calculate the hydrocarbon accumulation potential index of the target layers of the eight fault-block traps using the method described above. The calculation results are shown in Table 4.

[0099] Table 4:

[0100] Based on this method, the hydrocarbon accumulation potential index corresponding to all target layers of each fault-block trap is obtained. Then, the average hydrocarbon accumulation potential index of each fault-block trap is calculated. The average hydrocarbon accumulation potential indexes corresponding to each fault-block trap within the target study area are sorted in descending order to obtain the ranking results of the hydrocarbon accumulation potential of the fault-block traps. The larger the value, the higher the ranking, and the greater the hydrocarbon accumulation potential of the trap.

[0101] Based on the hydrocarbon accumulation potential index of fault-block traps, the hydrocarbon accumulation potential of the eight fault-block traps in Block M of the Nanpu Depression, ranked from largest to smallest, is as follows: A3 fault-block trap, B1 fault-block trap, B2 fault-block trap, A1 fault-block trap, A2 fault-block trap, B4 fault-block trap, B3 fault-block trap, and A4 fault-block trap.

[0102] Drilling findings confirmed that fault traps A1, A2, and B1 all contain oil, while fault trap B3 does not. This is consistent with the calculation results of the evaluation method of this invention, confirming the reliability of the method. According to the calculation results of the evaluation method of this invention, among the four fault traps to be evaluated in the target area, three have significant oil and gas accumulation potential. Sorted from highest to lowest accumulation potential, these are fault traps A3, B2, and B4, with A3 and B2 showing the greatest potential. Fault trap A4 does not contain oil. The evaluation results effectively avoid exploration and development risks and provide a basis for subsequent well location deployment.

[0103] Based on the same inventive concept, another embodiment of this application provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, it implements the steps of the method for evaluating the hydrocarbon accumulation potential of fault-block traps described in any of the above embodiments.

[0104] Based on the same inventive concept, another embodiment of this application provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the steps of any of the above-described methods for evaluating the hydrocarbon accumulation potential of fault traps.

[0105] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on the differences from other embodiments. The same or similar parts between the various embodiments can be referred to each other.

[0106] Although preferred embodiments of the present application have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments as well as all changes and modifications falling within the scope of the embodiments of the present application.

[0107] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "illustrative embodiment," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0108] Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or terminal device that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or terminal device. Without further limitation, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or terminal device that includes that element.

[0109] The above provides a detailed description of the method, medium, and equipment for evaluating the hydrocarbon accumulation potential of fault-block traps. Specific examples have been used to illustrate the principles and implementation methods of this application. The descriptions of the above embodiments are only for the purpose of helping to understand the method and core ideas of this application. At the same time, for those skilled in the art, there will be changes in the specific implementation methods and application scope based on the ideas of this application. Therefore, the content of this specification should not be construed as a limitation of this application.

Claims

1. A method for evaluating the hydrocarbon accumulation potential of fault-block traps, characterized in that, The method includes: Obtain the geological parameters of the target layer of the interrupted block in the target work area, including the trapping parameters and the fault parameters of each fault corresponding to the target layer; Based on the function of each fault in the target layer for oil and gas migration in the fault block trap, each fault in the target layer is classified to obtain the classification results of each fault in the corresponding fault block trap. Based on the classification results of each fault in the corresponding fault block trap, the geological parameters of the target layer are standardized to obtain the standard geological parameters of the target layer. The standard geological parameters include standard trap parameters and standard fault parameters of each fault corresponding to the target layer. The standard fault parameters of the target transport fault are calculated to determine the transport capacity index of the target transport fault; where the target transport fault is the transport fault corresponding to the target layer of the fault block trap. The standard fault parameters of the target shading fault are calculated to determine the shading capacity index of the target shading fault; where the target shading fault is the shading fault corresponding to the target layer of the fault block closure. The standard trapping parameters corresponding to the target layer of the fault-block trap are calculated to determine the trapping aggregation index of the target layer of the fault-block trap. The hydrocarbon accumulation potential index of the target layer of the fault block trap is determined based on the transport capacity index of the target transport fault, the shielding capacity index of the target shielding fault, and the trap accumulation index of the target layer of the fault block trap. Based on the hydrocarbon accumulation potential index corresponding to all target layers of each fault-block trap, the fault-block traps in the target work area are sorted to obtain the hydrocarbon accumulation potential ranking results of the fault-block traps.

2. The method for evaluating the hydrocarbon accumulation potential of fault-block traps according to claim 1, characterized in that, Based on the classification results of each fault in its corresponding fault-block trap, the geological parameters of the target layer are standardized to obtain the standard geological parameters of the target layer, including: Based on the transport faults corresponding to the target layers of each fault-block trap, fault-block traps with the same transport faults are identified as fault-block traps of the same genetic type. Based on the geological parameters of the target layer of all fault-block traps of the same genetic type, the geological parameters of the target layer of each fault-block trap in the same genetic type are standardized to obtain the standard geological parameters of the target layer of each fault-block trap. If the target layer of the fault-block trap has multiple transport faults, the fault-block trap is classified into the genetic type corresponding to any one of the transport faults.

3. The method for evaluating the hydrocarbon accumulation potential of fault-block traps according to claim 2, characterized in that, Based on the geological parameters of the target layers of all fault-block traps of the same genetic type, the geological parameters of the target layers of each fault-block trap within the same genetic type are standardized to obtain the standard geological parameters of the target layers of each fault-block trap, including: Select the maximum value from the geological parameters of the target layer of all fault-block traps of the same genetic type; The maximum value and the geological parameters of the target layer of each fault-block trap in the same genetic type are substituted into the standardization algorithm to calculate the standard geological parameters of the target layer of each fault-block trap. The expression for the standardization algorithm is: in, For the i-th type of standard geological parameters in the target layer of the fault block trap, The absolute value of the i-th type of geological parameter in the target layer of the fault block trap; It represents the maximum value of the same type of geological parameter among geological parameters of the same origin.

4. The method for evaluating the hydrocarbon accumulation potential of fault-block traps according to claim 1, characterized in that, The standard fault parameters of the target transport fault are calculated to determine the transport capacity index of the target transport fault, including: The standard fault parameters of the target transport fault are substituted into the transport capacity index algorithm to obtain the transport capacity index of the target transport fault. The expression for the conduction capacity index algorithm is as follows: in: It is the conductivity index of the j-th target conduction fault. The fault activity rate is a standard fault parameter for the target transport fault. The fault dip angle is one of the standard fault parameters for the target transport fault. For the standard fault parameters of the target transport fault, the fault plane curvature. The fault smearing factor is a standard fault parameter for the target transport fault.

5. The method for evaluating the hydrocarbon accumulation potential of fault-block traps according to claim 1, characterized in that, The standard fault parameters of the target shading fault are calculated to determine the shading capacity index of the target shading fault; wherein, the target shading fault is the shading fault corresponding to the target layer with block closure, including: The standard fault parameters of the target shading fault are substituted into the shading capacity index algorithm to obtain the shading capacity index of the target shading fault. The expression for the occlusion capability index algorithm is: in, It is the shielding capability index of the m-th target shielding fault. The fault smearing factor in the standard fault parameters for masking the fault of the target. The fault activity rate in the standard fault parameters for shielding the target fault. The fault dip angle in the standard fault parameters for shielding the target fault. The fault plane curvature in the standard fault parameters for shielding the target fault.

6. The method for evaluating the hydrocarbon accumulation potential of fault-block traps according to claim 1, characterized in that, The standard trapping parameters corresponding to the target layer of the fault-block trap are calculated to determine the trapping aggregation index of the target layer, including: Substitute the standard trapping parameters corresponding to the target layer of the fault-block trapping into the trapping clustering index algorithm to calculate the trapping clustering index of the target layer of the fault-block trapping. The expression for the trapping clustering index algorithm is: in, It is the trap clustering index of the x-th target layer of the fault-block trap. The trap reservoir thickness is the standard trap parameter corresponding to the target layer. This refers to the trapped reservoir area in the standard trap parameters corresponding to the target layer. The formation dip angle is the standard trap parameter corresponding to the target layer. The mud-to-soil ratio in the standard trap parameters corresponding to the target layer. The burial depth is the trap depth in the standard trap parameters corresponding to the target layer.

7. The method for evaluating the hydrocarbon accumulation potential of fault-block traps according to claim 1, characterized in that, Based on the conduction capacity index of the target conducting fault, the blocking capacity index of the target blocking fault, and the trapping and accumulation index of the target layer of the fault-block trap, the hydrocarbon accumulation potential index of the target layer of the fault-block trap is determined, including: The transport capacity index of the target transport fault, the shielding capacity index of the target shielding fault, and the trapping and accumulation index of the target layer of the fault block trap are substituted into the hydrocarbon accumulation potential index algorithm to obtain the hydrocarbon accumulation potential index of the target layer of the fault block trap. The expression for the hydrocarbon accumulation potential index algorithm is as follows: in, is the hydrocarbon accumulation potential index of the x-th target layer of the fault-block trap, where n is the number of transport faults corresponding to the target layer of the fault-block trap. It is the conductivity index of the target conduction fault. It is the smallest shading capacity index among all shading faults corresponding to the target layer of the block trap. It is the trap aggregation index of the xth target layer of the fault-block trap.

8. The method for evaluating the hydrocarbon accumulation potential of fault-block traps according to claim 1, characterized in that, Based on the hydrocarbon accumulation potential index corresponding to all target layers of each fault-block trap, the fault-block traps in the target work area are ranked to obtain the ranking results of their hydrocarbon accumulation potential, including: Based on the hydrocarbon accumulation potential index corresponding to all target layers of each fault block trap, determine the average hydrocarbon accumulation potential index of each fault block trap; The average hydrocarbon accumulation potential index corresponding to each fault-block trap within the target work area is sorted in descending order to obtain the ranking result of the hydrocarbon accumulation potential of the fault-block traps.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps in the method for evaluating the hydrocarbon accumulation potential of fault-block traps as described in any one of claims 1 to 8.

10. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the method for evaluating the hydrocarbon accumulation potential of fault-block traps as described in any one of claims 1 to 8.