Method for defining a quantitative evaluation equation of trap effectiveness, establishment and evaluation method, system

Abstract

The present application belongs to the technical field of oil and gas exploration, and particularly relates to a fault trap effectiveness evaluation equation, an establishment method, an evaluation method and a system. The fault trap effectiveness quantitative evaluation equation is: RA i =e y0 ×D′ y1 ×FD′ y2 ×SGR′ y3 ×FS′ y4 ×SD′ y5 ×H′ y6 ×FA′ y7 ×L′ y8 ×P′ y9 ; the present application can quantitatively evaluate the fault trap effectiveness and has high adaptability.

Description

Technical Field

[0001] The present invention belongs to the technical field of oil and gas exploration, and in particular relates to a method for defining a quantitative evaluation equation for trap effectiveness, and an establishment and evaluation method and system. Background Art

[0002] A trap is a place where oil and gas are sealed. It consists of three parts: reservoir rock, cap rock, and obstruction that prevents the continued migration of oil and gas and causes oil and gas accumulation. The obstruction can be the bending deformation of the cap rock itself, such as anticline, or other obstructions, such as faults, lithologic changes, etc.

[0003] Trap effectiveness refers to the actual ability of a trap to accumulate oil and gas under the premise of having an oil and gas source; effective trapping is one of the basic geological conditions for the formation of oil and gas reservoirs.

[0004] Fault traps are any traps formed by faults blocking the reservoir in the updip direction or in all directions. While the presence of impermeable rock at the top and bottom of the reservoir is essential for fault traps, it is a fundamental requirement for any trap. Therefore, the importance of faults in trap formation is particularly emphasized in fault traps.

[0005] In the existing technology, there are many evaluation methods for the effectiveness of fault traps, but they are mainly qualitative evaluations and have poor applicability.

[0006] In view of this, the present invention is proposed. Summary of the Invention

[0007] In order to solve the technical problems existing in the prior art, the present invention provides a method for defining a quantitative evaluation equation for the effectiveness of a fault trap, and an establishment and evaluation method and system. The present invention can quantitatively evaluate the effectiveness of a fault trap and has high adaptability.

[0008] The present invention includes the following technical solutions:

[0009] A first aspect of the present invention provides a method for defining a quantitative evaluation equation for the effectiveness of a fault trap, wherein the evaluation equation for the effectiveness of a fault trap is: ;

[0010] in: is the reservoir reserve abundance, is a constant coefficient, is the standardized burial depth parameter, is the normalized fault dip parameter, is the normalized mudstone smear factor parameter, is the standardized fault activity intensity parameter in the late stage of reservoir formation, is the normalized formation dip parameter, is the normalized reservoir porosity parameter, is the standardized unit fault control area parameter, is the normalized distance parameter to the hydrocarbon generation center, is the normalized reservoir porosity parameter, 、 、 、 、 、 、 、 and is the influence coefficient.

[0011] A second aspect of the present invention provides a method for establishing a quantitative evaluation equation for fault trap effectiveness, comprising the following steps:

[0012] Obtain the geological characteristics, characteristic parameters of the geological characteristics and the abundance of trapped reserves of the drilled faults in the study area;

[0013] Conduct correlation analysis between geological characteristic parameters and trapped reserve abundance, and select geological characteristics with a probability less than a preset value to obtain relevant geological characteristics;

[0014] The evaluation equation described above is obtained through relevant geological characteristics and trapped reserve abundance.

[0015] Furthermore, the geological characteristics include: burial depth, fault throw, fault dip, mudstone smear factor, formation thickness, activity intensity during the reservoir formation period, fault activity intensity during the later reservoir formation period, formation dip, closure area, closure height, trap steepness, length of the controlling fault, unit fault controlling area, distance from the hydrocarbon generation center, reservoir thickness, reservoir porosity and thickness of the overburden.

[0016] Furthermore, the preset value is 0.05.

[0017] Furthermore, the relevant geological characteristics include burial depth, closure height, unit fault control area, fault dip, fault activity intensity in the late stage of reservoir formation, formation dip, reservoir porosity, distance from hydrocarbon generation center and mudstone smear factor.

[0018] The third aspect of the present invention provides a method for quantitatively evaluating the effectiveness of fault traps.

[0019] Obtain relevant geological characteristic parameters and trapped reserve abundance of drilled faults in the study area;

[0020] Standardizing the relevant geological characteristic parameters to obtain standardized geological characteristic parameters;

[0021] The above fault trap effectiveness evaluation equation is solved by using the geological characteristic parameters of the drilled faults in the study area and the trap reserve abundance. 、 、 、 、 、 、 、 and The optimal solution of

[0022] The geological characteristic parameters of the undrilled fault traps in the study area were obtained based on 、 、 、 、 、 、 、 and The optimal solution of the fault trap effectiveness evaluation equation is used to evaluate the trap effectiveness of the undrilled fault circle.

[0023] Furthermore, the relevant geological features include positively correlated geological features, negatively correlated geological features and segmented positively correlated geological features;

[0024] The positively correlated geological characteristic parameters of the positively correlated geological characteristics are standardized by the following formula:

[0025] ;

[0026] The negatively correlated geological characteristic parameters of the negatively correlated geological characteristics are standardized by the following formula:

[0027] ;

[0028] The segmented positive correlation geological characteristic parameters of the segmented positive correlation geological characteristics are standardized by the following formula:

[0029] ;

[0030] in: To standardize geological characteristic parameters, are positively correlated geological characteristic parameters, is a negatively correlated geological characteristic parameter, is the segmented positive correlation geological characteristic parameter, is the minimum value of the positively correlated geological characteristic parameter in the study area, is the maximum value of the positively correlated geological characteristic parameter in the study area, is the minimum value of the negatively correlated geological characteristic parameter in the study area, is the maximum value of the positively correlated geological characteristic parameter in the study area, is the height of the piecewise function, is the low value of the piecewise point of the piecewise function.

[0031] Furthermore, the relevant geological characteristics include positively correlated geological characteristics, negatively correlated geological characteristics and segmented positively correlated geological characteristics; the positively correlated geological characteristics include burial depth, closure height and unit fault control circle area;

[0032] The negatively correlated geological characteristics include fault dip, fault activity intensity in the late stage of reservoir formation, formation dip, reservoir porosity and distance from hydrocarbon generation center;

[0033] The segmented positively correlated geological characteristics include a mudstone smear factor.

[0034] Further, obtain 、 、 、 、 、 、 、 and The optimal solution includes the following steps:

[0035] The fault trap effectiveness evaluation equation is modified to obtain a multivariate linear equation;

[0036] Determined by multiple linear regression analysis 、 、 、 、 、 、 、

[0037] and The optimal solution of .

[0038] A fourth aspect of the present invention provides a fault trap effectiveness quantitative evaluation system for executing the above-mentioned evaluation method.

[0039] By adopting the above technical solution, the present invention has the following advantages:

[0040] 1. Based on the morphology and formation-related geological parameters of fault traps and combined with actual drilling results in the study area, the present invention establishes an evaluation model for the effectiveness of fault traps. This model can quantitatively evaluate the effectiveness of fault traps, avoids the influence of subjective factors, and provides an important reference for trap optimization in oil and gas exploration.

[0041] 2. The present invention utilizes geological characteristic parameters to evaluate the effectiveness of fault traps, fully considering the actual geological laws that affect the effectiveness of fault traps, and avoiding the irrationality of establishing a model based solely on data analysis.

[0042] 3. The geological characteristic parameters used in the present invention can all be predicted and obtained by means of seismic analysis before trap drilling, thereby improving the applicability of the fault trap evaluation method.

[0043] 4. The quantitative evaluation method of the present invention has the characteristics of rapid evaluation of trap effectiveness, strong applicability, and more accurate and reliable results, which provides conditions for fault trap evaluation and optimization and provides a basis for oil and gas exploration deployment. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0045] Figure 1 This is a flow chart of a method for establishing a quantitative evaluation equation for fault trap effectiveness in an embodiment of the present invention;

[0046] Figure 2 This is a flow chart of a method for quantitatively evaluating the effectiveness of a fault trap according to an embodiment of the present invention;

[0047] Figure 3 The oil reservoir reserve abundance predicted in the embodiment of the present invention is The comparison chart of the accuracy and actual oil reservoir reserve abundance. DETAILED DESCRIPTION

[0048] The following description provides many different embodiments or examples for implementing different features of the present invention. The components and arrangements described in the following specific examples are only used to simplify the present invention and are only used as examples, not to limit the present invention.

[0049] To make the objectives, technical solutions, and advantages of the embodiments of the present invention more clear, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts shall fall within the scope of protection of the present invention.

[0050] Traditionally, there have been more qualitative methods for evaluating trap effectiveness than quantitative ones. As is well known, qualitative evaluations are subject to significant subjective influence, resulting in low precision and limited applicability. Regarding quantitative evaluation, there are two main publicly available methods: one that quantitatively evaluates fault trap effectiveness based on parameters related to fault sealing, and the other that utilizes trap element characteristic values ​​and lower limits for hydrocarbon accumulation.

[0051] Existing technology 1: Quantitatively evaluate the effectiveness of the trap using single or several influencing factors such as fault sealing and cross-section normal pressure (Chen Kui et al., 2018; Chen Di et al., 2020).

[0052] Technical Solution of Existing Technology 1: Previous methods for evaluating the hydrocarbon potential of fault-block traps have mostly been based on constructing a comprehensive fault-block trap evaluation index based on a single or several geological parameters of the target fault-block trap, thereby indicating the hydrocarbon potential characteristics of the fault-block trap. The fault-trap-related parameters involved in these methods primarily include the vertical throw of the controlling fault in the target stratum where the fault-block trap is located, the average reservoir depth, the dip of the controlling fault, the normal pressure of the fault plane of the controlling fault, the sand-to-formation ratio, and the fault smear factor.

[0053] Shortcomings of Existing Technology 1: This method only considers the impact of fault sealing on fault trap effectiveness, but fails to fully consider all relevant geological factors affecting fault trap effectiveness, particularly the fault trap morphology and formation parameters, as well as the configuration relationship between the activity of the controlling fault and oil and gas accumulation. Furthermore, the established evaluation model is primarily linear, where low values ​​for one parameter can be compensated by high values ​​for other parameters, which does not conform to the general principles of effective trap formation.

[0054] Existing technology 2: Quantitatively evaluate the effectiveness of the trap using the characteristic values ​​of the trap elements and the lower limit of oil and gas accumulation (Hou Lianhua et al., 2021).

[0055] The second prior art approach uses relevant evaluation parameters of discovered oil and gas reservoirs in zones with similar geological backgrounds to first determine thresholds for the key parameters of the trap being evaluated, and then determines representative values ​​for each evaluation parameter. The representative values ​​of each parameter are then used to comprehensively calculate the evaluation value of the trap being evaluated, and combined with the trap's economic evaluation value, the trap's effectiveness is ultimately determined. The threshold value is actually the lower limit of each geological parameter for an effective trap, and the probability of oil and gas accumulation corresponding to the threshold value is determined based on the key role of that geological parameter in the oil and gas accumulation process. Key geological parameters related to trap effectiveness are then compared against the threshold value. The more geological parameters that exceed the threshold value, and the stronger their key role in oil and gas accumulation, the higher the trap effectiveness. The second prior art approach has shortcomings: This method primarily evaluates conventional traps, while the method specifically targets fault traps, which are somewhat different. Furthermore, the trap effectiveness threshold in this method is empirically derived and subject to uncertainty. Furthermore, the probability of oil and gas accumulation corresponding to the threshold value is subjectively determined, which is highly subjective. Consequently, the final trap effectiveness evaluation results are subject to significant uncertainty.

[0056] This embodiment provides a method for defining a quantitative evaluation equation for the effectiveness of a fault trap. The evaluation equation for the effectiveness of a fault trap is: ;

[0057] in: is the reservoir reserve abundance, is a constant coefficient, is the standardized burial depth parameter, is the normalized fault dip parameter, is the normalized mudstone smear factor parameter, is the standardized fault activity intensity parameter in the late stage of reservoir formation, is the normalized formation dip parameter, is the normalized reservoir porosity parameter, is the standardized unit fault control area parameter, is the normalized distance parameter to the hydrocarbon generation center, is the normalized reservoir porosity parameter, 、 、 、 、 、 、 、 and is the influence coefficient.

[0058] It should be noted that the calculation on the left side of the evaluation equation is only a numerical calculation and does not involve specific units. The unit of the obtained oil reservoir reserve abundance is 10,000 tons / square kilometer.

[0059] This embodiment also provides a method for establishing a quantitative evaluation equation for the effectiveness of a fault trap, such as Figure 1 As shown, the following steps are included:

[0060] The geological characteristics, characteristic parameters of the geological characteristics and the abundance of trapped reserves of the drilled faults in the study area are obtained; the geological characteristics include: burial depth, fault throw, fault dip, mudstone smear factor, formation thickness, activity intensity during the accumulation period, intensity of fault activity in the later period of accumulation, formation dip, closure area, closure height, trap steepness, length of the controlling fault, unit fault controlling area, distance from the hydrocarbon generation center, reservoir thickness, reservoir porosity and thickness of the overburden. The characteristic parameters of the geological characteristics are parameters corresponding to the geological characteristics, namely, burial depth parameter, fault throw parameter, fault dip parameter, mudstone smear factor parameter, formation thickness parameter, activity intensity during the accumulation period, intensity of fault activity in the later period of accumulation, formation dip parameter, closure area parameter, closure height parameter, trap steepness parameter, length of the controlling fault, unit fault controlling area parameter, distance from the hydrocarbon generation center, reservoir thickness parameter, reservoir porosity parameter and overburden thickness parameter; the abundance of trapped reserves of the drilled faults can be obtained by the height of the trapped oil and gas column.

[0061] A correlation analysis is performed between geological characteristic parameters and trapped reserve abundance, and geological characteristics with a probability less than a preset value are selected to obtain relevant geological characteristics; preferably, the preset value is 0.05.

[0062] Specifically, the Pearson correlation analysis between geological characteristic parameters and trapped reserve abundance was performed to obtain Pearson correlation and probability, as shown in Table 1. Based on the probability less than 0.05, the relevant geological characteristic parameters in the table were selected, namely, burial depth, fault dip, mudstone smear factor, fault activity intensity in the late stage of reservoir formation, formation dip parameter, reservoir porosity parameter, unit fault-controlled area parameter, distance from hydrocarbon generation center parameter, and reservoir porosity parameter.

[0063] Table 1

[0064]

[0065] The evaluation equation mentioned above is obtained through relevant geological characteristics and trapped reserve abundance.

[0066] This embodiment also provides a method for quantitatively evaluating the effectiveness of fault traps. Figure 2 As shown, the following steps are involved in evaluating the effectiveness of fault traps in Block A:

[0067] Obtain relevant geological characteristic parameters and trapped reserve abundance of the drilled faults in the study area.

[0068] The strata in Block A are mainly clastic rocks with interbedded sandstone and mudstone. The main target strata are the KI and KII formations. Currently, 15 fault traps have been drilled, with varying drilling results. The relevant geological characteristic parameters are shown in Table 2.

[0069] Table 2

[0070]

[0071] Standardizing the relevant geological characteristic parameters of the relevant geological characteristics to obtain standardized geological characteristic parameters;

[0072] The relevant geological features include positively correlated geological features, negatively correlated geological features and segmented positively correlated geological features;

[0073] The positively correlated geological characteristic parameters of the positively correlated geological characteristics are standardized by the following formula:

[0074] ;

[0075] The negatively correlated geological characteristic parameters of the negatively correlated geological characteristics are standardized by the following formula:

[0076] ;

[0077] The segmented positive correlation geological characteristic parameters of the segmented positive correlation geological characteristics are standardized by the following formula:

[0078] ;

[0079] in: To standardize geological characteristic parameters, are positively correlated geological characteristic parameters, is a negatively correlated geological characteristic parameter, is the segmented positive correlation geological characteristic parameter, is the minimum value of the positively correlated geological characteristic parameter in the study area, is the maximum value of the positively correlated geological characteristic parameter in the study area, is the minimum value of the negatively correlated geological characteristic parameter in the study area, is the maximum value of the positively correlated geological characteristic parameter in the study area, is the height of the piecewise function, is the low value of the piecewise point of the piecewise function.

[0080] The relevant geological characteristic parameters in Table 2 were standardized by the above-mentioned standardization method to obtain standardized geological characteristic parameters, among which: the maximum value of the burial depth parameter in the stratum of Block A is 3000, and the minimum value of the burial depth parameter in the stratum of Block A is 1000; the maximum value of the fault dip parameter in the stratum of Block A is 90, and the minimum value of the fault dip parameter in the stratum of Block A is 0; the mudstone smear factor parameter A is 0.6, and a is 0.2; the maximum value of the fault activity intensity parameter in the late stage of hydrocarbon accumulation in the stratum of Block A is 1.5, and the minimum value of the fault activity intensity parameter in the late stage of hydrocarbon accumulation in the stratum of Block A is 1; the formation dip is 0. The maximum value of the parameter in Block A is 90°, and the minimum value of the formation dip parameter in Block A is 0; the maximum value of the closure height parameter in Block A is 200, and the minimum value of the closure height parameter in Block A is 0; the maximum value of the unit fault-controlled area parameter in Block A is 1.5, and the minimum value of the unit fault-controlled area parameter in Block A is 0; the maximum value of the distance to the hydrocarbon generation center parameter in Block A is 90, and the minimum value of the distance to the hydrocarbon generation center parameter in Block A is 0; the maximum value of the reservoir porosity in Block A is 45, and the minimum value of the reservoir porosity in Block A is 10; the normalized results are shown in Table 3.

[0081] Table 3

[0082]

[0083] The fault trap effectiveness evaluation equation mentioned above is calculated by the geological characteristic parameters of the drilled faults in the study area and the trap reserve abundance. 、 、 、 、 、 、 、 and The optimal solution of

[0084] Further, obtain 、 、 、 、 、 、 、 and The optimal solution includes the following steps:

[0085] The fault trap effectiveness evaluation equation is modified to obtain a multivariate linear equation;

[0086] The multivariate linear equation is: ;

[0087] Determined by multiple linear regression analysis 、 、 、 、 、 、 、

[0088] and Specifically, the standardized geological characteristic parameters and the trapped reserve abundance of the drilled area in Table 3 were substituted into the multivariate linear equation to obtain 28 multivariate linear equations, which were then subjected to multivariate linear regression analysis to obtain 、 、 、 、 、 、 、 and The optimal solution of .

[0089] The optimal solution of the multivariate linear regression equation obtained from Table 3 is shown in Table 4.

[0090] Table 4

[0091]

[0092] The 、 、 、 、 、 、 、 and The optimal solution of is brought into the evaluation equation, and the equation is obtained. .

[0093] Substituting the geological characteristic parameters of the undrilled fault traps in the study area into the above equation, we can obtain the oil reserve abundance of the undrilled fault traps. , oil reservoir abundance The higher it is, the better the effectiveness of the fault trap.

[0094] like Figure 3 As shown, in order to verify the evaluation equation to obtain the predicted reservoir reserve abundance The accuracy of the reservoir reserves is Compared with the actual oil reservoir reserves abundance, the horizontal axis of the box in the figure represents the predicted oil reservoir reserves abundance The vertical axis represents the actual reservoir reserve abundance, and the box represents the predicted reservoir reserve abundance. The relationship between the predicted value and the actual oil reservoir reserve abundance is 0.834.

[0095] Combined with the reservoir reserve abundance classification standard and the fault trap effectiveness evaluation results, the drilling risk of fault traps can be graded: RA < 50 is high risk, 50 ≤ RA < 100 is relatively high risk, 100 ≤ RA < 200 is medium risk, 200 ≤ RA < 300 is relatively low risk, and 300 ≤ RA is low risk. This is more conducive to the optimization of trap targets, as shown in Table 5.

[0096] Table 5

[0097]

[0098] This embodiment also provides a fault trap effectiveness quantitative evaluation system for executing the above-mentioned evaluation method.

[0099] Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein; and these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for defining a quantitative evaluation equation for the effectiveness of a fault trap, characterized in that: The quantitative evaluation equation for the effectiveness of the fault trap is: ; in: is the reservoir reserve abundance, is a constant coefficient, is the standardized burial depth parameter, is the normalized fault dip parameter, is the normalized mudstone smear factor parameter, is the standardized fault activity intensity parameter in the late stage of reservoir formation, is the normalized formation dip parameter, is the normalized reservoir porosity parameter, is the standardized unit fault control area parameter, is the normalized distance parameter to the hydrocarbon generation center, is the normalized reservoir porosity parameter, 、 、 、 、 、 、 、 and is the influence coefficient.

2. A method for establishing a quantitative evaluation equation for fault trap effectiveness, characterized in that: The steps include: Obtain the geological characteristics, characteristic parameters of the geological characteristics and the abundance of trapped reserves of the drilled faults in the study area; Conduct correlation analysis between geological characteristic parameters and trapped reserve abundance, and select geological characteristics with a probability less than a preset value to obtain relevant geological characteristics; The evaluation equation as claimed in claim 1 is obtained through relevant geological characteristics and trapped reserve abundance.

3. The method for establishing a quantitative evaluation equation for fault trap effectiveness according to claim 2, wherein: The geological characteristics include: burial depth, fault throw, fault dip, mudstone smear factor, formation thickness, activity intensity during the reservoir formation period, fault activity intensity during the later period of reservoir formation, formation dip, closure area, closure height, trap steepness, length of the controlling fault, unit fault controlling area, distance from the hydrocarbon generation center, reservoir thickness, reservoir porosity and thickness of the overburden.

4. A method for establishing a quantitative evaluation equation for fault trap effectiveness according to any one of claims 2 to 3, characterized in that: The preset value is 0.

05.

5. The method for establishing a quantitative evaluation equation for fault trap effectiveness according to claim 4, wherein: The relevant geological characteristics include burial depth, closure height, unit fault control area, fault dip, fault activity intensity in the late stage of reservoir formation, formation dip, reservoir porosity, distance from hydrocarbon generation center and mudstone smear factor.

6. A method for quantitatively evaluating the effectiveness of fault traps, characterized in that: The steps include: Obtain relevant geological characteristic parameters and trapped reserve abundance of drilled faults in the study area; Standardizing the relevant geological characteristic parameters to obtain standardized geological characteristic parameters; The fault trap effectiveness evaluation equation of claim 1 is solved by using the geological characteristic parameters of the drilled faults in the study area and the trap reserve abundance. 、 、 、 、 、 、 、 and The optimal solution of The geological characteristic parameters of the undrilled fault traps in the study area were obtained based on 、 、 、 、 、 、 、 and The optimal solution of the fault trap effectiveness evaluation equation is used to evaluate the trap effectiveness of the undrilled fault circle.

7. A method for quantitatively evaluating the effectiveness of a fault trap according to claim 6, characterized in that: The relevant geological features include positively correlated geological features, negatively correlated geological features and segmented positively correlated geological features; The positively correlated geological characteristic parameters of the positively correlated geological characteristics are standardized by the following formula: ； The negatively correlated geological characteristic parameters of the negatively correlated geological characteristics are standardized by the following formula: ； The segmented positive correlation geological characteristic parameters of the segmented positive correlation geological characteristics are standardized by the following formula: ； in: To standardize geological characteristic parameters, are positively correlated geological characteristic parameters, is a negatively correlated geological characteristic parameter, is the segmented positive correlation geological characteristic parameter, is the minimum value of the positively correlated geological characteristic parameter in the study area, is the maximum value of the positively correlated geological characteristic parameter in the study area, is the minimum value of the negatively correlated geological characteristic parameter in the study area, is the maximum value of the positively correlated geological characteristic parameter in the study area, is the height of the piecewise function, is the low value of the piecewise point of the piecewise function.

8. A method for quantitatively evaluating the effectiveness of a fault trap according to claim 7, characterized in that: The relevant geological characteristics include positively correlated geological characteristics, negatively correlated geological characteristics and segmented positively correlated geological characteristics; the positively correlated geological characteristics include burial depth, closure height and unit fault control circle area; The negatively correlated geological characteristics include fault dip, fault activity intensity in the late stage of reservoir formation, formation dip, reservoir porosity and distance from hydrocarbon generation center; The segmented positively correlated geological characteristics include a mudstone smear factor.

9. A method for quantitatively evaluating the effectiveness of a fault trap according to claim 6, characterized in that: get 、 、 、 、 、 、 、 and The optimal solution includes the following steps: The fault trap effectiveness evaluation equation is modified to obtain a multivariate linear equation; Determined by multiple linear regression analysis 、 、 、 、 、 、 、 and The optimal solution of .

10. A quantitative evaluation system for fault trap effectiveness, characterized in that: Used to perform the evaluation method according to any one of claims 6 to 9.

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