Fault trap effectiveness evaluation equation, establishment method, evaluation method and system

Abstract

The invention belongs to the technical field of petroleum and natural gas exploration, and particularly relates to a fault trap effectiveness evaluation equation, an establishment method, an evaluation method and a system. According to the fault trap effectiveness quantitative evaluation equation, the fault trap effectiveness evaluation equation is RAi = ey0 * D'y1 * FD'y2 * SGR'y3 * FS'y4 * SD'y5 * H'y6 * FA'y7 * L'y8 * P'y9, the fault trap effectiveness can be quantitatively evaluated, and the adaptability is high.

Description

Technical Field

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

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

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

[0004] Fault traps are traps formed by faults blocking the reservoir in the up-dip direction or in all directions. Although the existence of impermeable rock layers at the top and bottom of the reservoir is also indispensable for fault traps, it is a basic condition for any trap. Therefore, the importance of faults in trap formation is particularly emphasized in fault traps.

[0005] In the prior art, there are many methods for evaluating the effectiveness of fault traps, but they are mainly qualitative evaluations with 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 fault trap effectiveness evaluation equation, an establishment method, an evaluation method and a system. The present invention can quantitatively evaluate the effectiveness of fault traps and has high adaptability.

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

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

[0010] RA i =e y0 ×D′ y1 ×FD′ y2 ×SGR′ y3 ×FS′ y4 ×SD′ y5 ×H′ y6 ×FA′ y7 ×L′ y8 ×P′ y9 ;

[0011] Among them: RA i is the reserve abundance of the reservoir, y0 is the constant coefficient, D′ is the standardized burial depth parameter, FD′ is the standardized fault dip parameter, SGR′ is the standardized mudstone smear factor parameter, FS′ is the standardized fault activity intensity parameter in the late reservoir formation period, SD′ is the standardized formation dip parameter, H′ is the standardized reservoir porosity parameter, FA′ is the standardized unit fault-controlled area parameter, L′ is the standardized distance parameter from the hydrocarbon generation center, P′ is the standardized reservoir porosity parameter, and y1, y2, y3, y4, y5, y6, y7, y8 and y9 are influence coefficients.

[0012] The second aspect of the present invention provides a method for establishing a quantitative evaluation equation for fault trap effectiveness, comprising the following steps:

[0013] Obtain the geological characteristics, characteristic parameters of the geological characteristics and the abundance of trapped reserves of the drilled faults in the study area;

[0014] Conduct correlation analysis between geological characteristic parameters and trapped reserve abundance, and select geological characteristics with probability less than a preset value to obtain relevant geological characteristics;

[0015] The evaluation equation as described above is obtained through relevant geological characteristics and trapped reserve abundance.

[0016] 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 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.

[0017] Furthermore, the preset value is 0.05.

[0018] Furthermore, the relevant geological characteristics include burial depth, closure height, unit fault controlling area, fault dip, intensity of fault activity in the late stage of reservoir formation, formation dip, reservoir porosity, distance from hydrocarbon generation center and mudstone smear factor.

[0019] The third aspect of the present invention provides a method for quantitatively evaluating the effectiveness of fault traps.

[0020] Obtain relevant geological characteristic parameters and trap reserve abundance of drilled faults in the study area;

[0021] Standardizing the relevant geological characteristic parameters to obtain standardized geological characteristic parameters;

[0022] The optimal solutions of y1, y2, y3, y4, y5, y6, y7, y8 and y9 in the fault trap effectiveness evaluation equation mentioned above are solved by the geological characteristic parameters of the drilled faults in the study area and the trap reserve abundance;

[0023] The geological characteristic parameters of the undrilled fault traps in the study area are obtained, and the fault trap effectiveness evaluation equation is used to evaluate the trap effectiveness of the undrilled fault trap based on the optimal solution of y1, y2, y3, y4, y5, y6, y7, y8 and y9.

[0024] Furthermore, the relevant geological features include positively relevant geological features, negatively relevant geological features and segmented positively relevant geological features;

[0025] The positively correlated geological characteristic parameters of the positively correlated geological characteristics are standardized by the following formula:

[0026] X′=(X1-X1 min ) / (X1 max -X1 min );

[0027] The negatively correlated geological characteristic parameters of the negatively correlated geological characteristics are standardized by the following formula:

[0028] X′=1-(X2-X2 min ) / (X2 max -X2 min );

[0029] The segmented positive correlation geological characteristic parameters of the segmented positive correlation geological characteristics are standardized by the following formula:

[0030]

[0031] Among them: X' is the standardized geological characteristic parameter, X1 is the positive correlation geological characteristic parameter, X2 is the negative correlation geological characteristic parameter, X3 is the segmented positive correlation geological characteristic parameter, X1 min is the minimum value of the positively correlated geological characteristic parameter in the study area, X1 max is the maximum value of the positively correlated geological characteristic parameter in the study area, X2 min is the minimum value of the negatively correlated geological characteristic parameter in the study area, X2 max is the maximum value of the positively correlated geological characteristic parameter in the study area, A is the high value of the segmentation point of the piecewise function, and a is the low value of the segmentation point of the piecewise function.

[0032] 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 area;

[0033] 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;

[0034] The segmented positively correlated geological characteristics include a mudstone smear factor.

[0035] Further, obtaining the optimal solution of y1, y2, y3, y4, y5, y6, y7, y8 and y9 includes the following steps:

[0036] The fault trap effectiveness evaluation equation is changed to obtain a multivariate linear equation;

[0037] The optimal solutions of y1, y2, y3, y4, y5, y6, y7, y8 and y9 are determined by multiple linear regression analysis.

[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 of fault closures and formation-related geological parameters, combined with the actual drilling results in the study area, the present invention establishes an evaluation model for the effectiveness of fault closures, which can quantitatively evaluate the effectiveness of fault closures, avoid the influence of subjective factors, and provide an important reference for the optimization of closures in oil and gas exploration.

[0041] 2. The present invention uses 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 be predicted and obtained by means of earthquakes and the like 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 the effectiveness of the trap, 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 drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. 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 creative work.

[0045] Figure 1It 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 It is a flow chart of a method for quantitatively evaluating the effectiveness of a fault trap in an embodiment of the present invention;

[0047] Figure 3 is the oil reservoir reserve abundance RA predicted in the embodiment of the present invention i Comparison chart of the accuracy and actual 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] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are 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 creative work are within the scope of protection of the present invention.

[0050] In the past, there were more methods for qualitative evaluation of trap effectiveness, but fewer methods for quantitative evaluation. As we all know, the results of qualitative evaluation are subject to greater subjective influence, low precision and limited applicability. As for quantitative evaluation methods, there are two main methods currently available. One is to quantitatively evaluate the effectiveness of fault traps based on fault sealing related parameters, and the other is to quantitatively evaluate the effectiveness of traps using the characteristic values ​​of trap elements and the lower limit of oil and gas 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 the prior art 1: Most of the evaluation methods for the oil and gas content of fault block traps proposed by previous scholars are based on constructing a comprehensive evaluation index of the fault block trap according to a single or several geological parameters of the target fault block trap, thereby indicating the oil and gas content characteristics of the fault block trap. The fault trap-related parameters involved in this method mainly include the vertical fault throw of the main controlling fault of the target layer where the fault block trap is located, the average burial depth of the oil reservoir, the dip angle of the main controlling fault, the normal pressure of the fault plane of the main controlling fault, the sand-to-ground ratio, the fault smear factor, etc.

[0053] Disadvantages of the existing technology 1: The technology 1 method only considers the impact of fault plugging on the effectiveness of fault traps, and does not fully consider the various geological factors related to the effectiveness of fault traps, especially the fault trap morphology and formation characteristic parameters, as well as the configuration relationship parameters between the activity of the controlling fault and oil and gas accumulation. At the same time, the evaluation model established is also mainly a linear model, in which the low value of a certain parameter can be compensated by the high value of other parameters, which does not conform to the general law of effective trap formation.

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

[0055] The technical solution of the second prior art is to first determine the threshold of the key parameters of the evaluated trap based on the relevant evaluation parameters of the discovered oil and gas reservoirs in the zone with similar geological background, and then determine the characterization value of each evaluation parameter; the evaluation value of the evaluated trap is comprehensively calculated by the characterization value of each parameter, and the effectiveness of the trap is finally determined in combination with the economic evaluation value of the trap. The threshold is actually the lower limit of each geological parameter of the effective trap, and the probability of oil and gas accumulation corresponding to the threshold is determined according to the key role of the geological parameter in the oil and gas accumulation process. Then, the main geological parameters related to the effectiveness of the trap are compared with the threshold. The more geological parameters are greater than the threshold, and the stronger the key role of these geological parameters in the oil and gas accumulation, the higher the effectiveness of the trap.

[0056] Disadvantages of the second existing technology: This technical method mainly evaluates conventional traps and is not specifically for fault traps, and there is a certain difference between the two. Moreover, the threshold of the trap effectiveness in this method is obtained empirically and has a certain degree of uncertainty; at the same time, the probability of oil and gas accumulation corresponding to the threshold is determined subjectively and has a great deal of subjectivity. Therefore, the final trap effectiveness evaluation result has a great deal of uncertainty.

[0057] This embodiment provides a quantitative evaluation equation for the effectiveness of a fault trap, and the evaluation equation for the effectiveness of a fault trap is:

[0058] RA i =e y0 ×D′ y1 ×FD′ y2 ×SGR′ y3 ×FS′ y4 ×SD′ y5 ×H′ y6 ×FA′ y7 ×L′ y8 ×P′ y9 ;

[0059] Among them: RA iis the reserve abundance of the reservoir, y0 is the constant coefficient, D′ is the standardized burial depth parameter, FD′ is the standardized fault dip parameter, SGR′ is the standardized mudstone smear factor parameter, FS′ is the standardized fault activity intensity parameter in the late reservoir formation period, SD′ is the standardized formation dip parameter, H′ is the standardized reservoir porosity parameter, FA′ is the standardized unit fault-controlled area parameter, L′ is the standardized distance parameter from the hydrocarbon generation center, P′ is the standardized reservoir porosity parameter, and y1, y2, y3, y4, y5, y6, y7, y8 and y9 are influence coefficients.

[0060] 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.

[0061] 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:

[0062] 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 distance, fault dip, mudstone smear factor, formation thickness, activity intensity during the accumulation period, fault activity intensity in the later stage 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 upper cover. The characteristic parameters of the geological characteristics are parameters corresponding to the geological characteristics, namely, burial depth parameters, fault distance parameters, fault dip parameters, mudstone smear factor parameters, formation thickness parameters, activity intensity parameters during the accumulation period, fault activity intensity parameters in the later stage of accumulation, formation dip parameters, closure area parameters, closure height parameters, trap steepness parameters, length of the controlling fault, unit fault controlling area parameters, distance from the hydrocarbon generation center, reservoir thickness parameters, reservoir porosity parameters and upper cover thickness parameters; the abundance of trapped reserves of the drilled faults can be obtained through the height of the trapped oil and gas column.

[0063] A correlation analysis is performed between the characteristic geological parameters and the abundance of trapped reserves, and geological features with probabilities less than a preset value are selected to obtain relevant geological features; preferably, the preset value is 0.05.

[0064] Specifically, the Pearson correlation analysis between geological characteristic parameters and trapped reserve abundance was performed to obtain the Pearson correlation and probability, as shown in Table 1. The relevant geological characteristic parameters in the table were selected based on the probability less than 0.05, namely, burial depth, fault dip, mudstone smear factor, intensity of fault activity in the late stage of reservoir formation, formation dip parameter, reservoir porosity parameter, unit fault-controlled area parameter, distance parameter from hydrocarbon generation center and reservoir porosity parameter.

[0065] Table 1

[0066]

[0067]

[0068] The evaluation equation mentioned above is obtained through relevant geological characteristics and trapped reserve abundance.

[0069] This embodiment also provides a method for quantitatively evaluating the effectiveness of fault traps. Figure 2 As shown, the following steps are combined with the effectiveness evaluation of fault traps in Block A:

[0070] Obtain relevant geological characteristic parameters and trapped reserve abundance of the drilled faults in the study area.

[0071] The strata in Block A are mainly clastic rock strata with interbedded sandstone and mudstone. The main research target strata are KI and KII formations. Currently, 15 fault traps have been drilled and different drilling results have been obtained. The relevant geological characteristic parameters are shown in Table 2.

[0072] Table 2

[0073]

[0074]

[0075] Standardizing the relevant geological characteristic parameters of the relevant geological characteristics to obtain standardized geological characteristic parameters;

[0076] The relevant geological features include positively correlated geological features, negatively correlated geological features and segmented positively correlated geological features;

[0077] The positively correlated geological characteristic parameters of the positively correlated geological characteristics are standardized by the following formula:

[0078] X′=(X1-X1 min ) / (X1 max -X1 min );

[0079] The negatively correlated geological characteristic parameters of the negatively correlated geological characteristics are standardized by the following formula:

[0080] X′=1-(X2-X2 min ) / (X2 max -X2 min );

[0081] The segmented positive correlation geological characteristic parameters of the segmented positive correlation geological characteristics are standardized by the following formula:

[0082]

[0083] Among them: X' is the standardized geological characteristic parameter, X1 is the positive correlation geological characteristic parameter, X2 is the negative correlation geological characteristic parameter, X3 is the segmented positive correlation geological characteristic parameter, X1 min is the minimum value of the positively correlated geological characteristic parameter in the study area, X1 max is the maximum value of the positively correlated geological characteristic parameter in the study area, X2 min is the minimum value of the negatively correlated geological characteristic parameter in the study area, X2 max is the maximum value of the positively correlated geological characteristic parameter in the study area, A is the high value of the segmentation point of the piecewise function, and a is the low value of the segmentation point of the piecewise function.

[0084] The standardized geological characteristic parameters in Table 2 were standardized by the above-mentioned standardization method, 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 A of the mudstone smear factor parameter is 0.6, and a is 0.2; the maximum value of the fault activity intensity parameter in the late stage of reservoir formation is 1.5, and the minimum value of the fault activity intensity parameter in the late stage of reservoir formation is 1; the formation dip is 90, and the minimum value of the fault dip parameter in the stratum of block A is 0.6, and the minimum value of the mudstone smear factor parameter is 0.2; the maximum value of the fault activity intensity parameter in the late stage of reservoir formation is 1.5, and the minimum value of the fault activity intensity parameter in the late stage of reservoir formation is 1; the formation dip is 0. The maximum value of the parameter in the formation of block A is 90°, and the minimum value of the formation dip parameter in the formation of block A is 0; the maximum value of the closure height parameter in the formation of block A is 200, and the minimum value of the closure height parameter in the formation of block A is 0; the maximum value of the unit fault control area parameter in the formation of block A is 1.5, and the minimum value of the unit fault control area parameter in the formation of block A is 0; the maximum value of the distance to the hydrocarbon generation center parameter in the formation of block A is 90, and the minimum value of the distance to the hydrocarbon generation center parameter in the formation of block A is 0; the maximum value of the reservoir porosity in the formation of block A is 45, and the minimum value of the reservoir porosity in the formation of block A is 10; the standardized results are shown in Table 3.

[0085] Table 3

[0086]

[0087]

[0088] The optimal solutions of y1, y2, y3, y4, y5, y6, y7, y8 and y9 in the fault trap effectiveness evaluation equation mentioned above are obtained through the geological characteristic parameters of the drilled faults in the study area and the trap reserve abundance;

[0089] Further, obtaining the optimal solution of y1, y2, y3, y4, y5, y6, y7, y8 and y9 includes the following steps:

[0090] The fault trap effectiveness evaluation equation is changed to obtain a multivariate linear equation;

[0091] The multivariate linear equation is:

[0092] Ln(RA i )=y0+y1×Ln(D′)+y2×Ln(FD′)+y3×Ln(SGR′)+y4×Ln(FS′)

[0093] +y5×Ln(SD′)+y6×Ln(H′)+y7×Ln(FA′)+y8×Ln(L′)+y9×Ln(P′);

[0094] The optimal solutions of y1, y2, y3, y4, y5, y6, y7, y8 and y9 were determined by multivariate linear regression analysis. Specifically, the standardized geological characteristic parameters in Table 3 and the trapped reserve abundance of the drilled area were substituted into the multivariate linear equation to obtain 28 multivariate linear equations. Then, multivariate linear regression analysis was performed to obtain the optimal solutions of y1, y2, y3, y4, y5, y6, y7, y8 and y9.

[0095] The optimal solution obtained by the multivariate linear regression equation obtained from Table 3 above is shown in Table 4.

[0096] Table 4

[0097]

[0098] Substitute the optimal solutions of y1, y2, y3, y4, y5, y6, y7, y8 and y9 in Table 4 into the evaluation equation and obtain the equation

[0099] RA i =e 7.295 ×D′ 0.0515 ×FD′ 1.8998 ×SGR′ 1.5014 ×FS′ 2.8002 ×SD′ 9.2935 ×FA′ y7 .

[0100] Substituting the geological characteristic parameters of the undrilled fault trap in the study area into the above equation, we can obtain the reservoir reserve abundance RA of the undrilled fault zone: i , reservoir reserve abundance RA i The higher it is, the better the fault trap effectiveness is.

[0101] like Figure 3 As shown, in order to verify the evaluation equation, the predicted reservoir reserve abundance RA i The accuracy of the reservoir reserve abundance RA iCompared with the actual reservoir reserve abundance, the horizontal axis of the box in the figure represents the predicted reservoir reserve abundance RA i The vertical axis represents the actual reservoir reserve abundance, and the box represents the predicted reservoir reserve abundance RA i The relationship with the actual reservoir reserve abundance is that the prediction accuracy is 0.834.

[0102] Combined with the reservoir reserve abundance classification standard and the effectiveness evaluation results of fault traps, the drilling risk of fault traps can be classified: 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, which is more conducive to the optimization of trap targets as shown in Table 5.

[0103] Table 5

[0104]

[0105] This embodiment also provides a fault trap effectiveness quantitative evaluation system, which is used to execute the above-mentioned evaluation method.

[0106] 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 substitutions for some of the technical features therein; and these modifications or substitutions do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A quantitative evaluation equation for fault trap effectiveness, characterized in that: The fault trap effectiveness 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 ; Among them: RA i is the reserve abundance of the reservoir, y0 is the constant coefficient, D′ is the standardized burial depth parameter, FD′ is the standardized fault dip parameter, SGR′ is the standardized mudstone smear factor parameter, FS′ is the standardized fault activity intensity parameter in the late reservoir formation period, SD′ is the standardized formation dip parameter, H′ is the standardized reservoir porosity parameter, FA′ is the standardized unit fault-controlled area parameter, L′ is the standardized distance parameter from the hydrocarbon generation center, P′ is the standardized reservoir porosity parameter, and y1, y2, y3, y4, y5, y6, y7, y8 and y9 are influence coefficients.

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 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, characterized in that: 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, characterized in that: 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 a fault trap, characterized in that: The steps include: Obtain relevant geological characteristic parameters and trap reserve abundance of drilled faults in the study area; Standardizing the relevant geological characteristic parameters to obtain standardized geological characteristic parameters; The optimal solutions of y1, y2, y3, y4, y5, y6, y7, y8 and y9 in the fault trap effectiveness evaluation equation as claimed in claim 1 are solved by using the geological characteristic parameters of the drilled faults in the study area and the trap reserve abundance; The geological characteristic parameters of the undrilled fault traps in the study area are obtained, and the fault trap effectiveness evaluation equation is used to evaluate the trap effectiveness of the undrilled fault trap based on the optimal solution of y1, y2, y3, y4, y5, y6, y7, y8 and y9.

7. The method for establishing a quantitative evaluation equation for fault trap effectiveness 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: X′=(X1-X1 min ) / (X1 max -X1 min ); The negatively correlated geological characteristic parameters of the negatively correlated geological characteristics are standardized by the following formula: X′=1-(X2-X2 min ) / (X2 max -X2 min ); The segmented positive correlation geological characteristic parameters of the segmented positive correlation geological characteristics are standardized by the following formula: Among them: X' is the standardized geological characteristic parameter, X1 is the positive correlation geological characteristic parameter, X2 is the negative correlation geological characteristic parameter, X3 is the segmented positive correlation geological characteristic parameter, X1 min is the minimum value of the positively correlated geological characteristic parameter in the study area, X1 max is the maximum value of the positively correlated geological characteristic parameter in the study area, X2 min is the minimum value of the negatively correlated geological characteristic parameter in the study area, X2 max is the maximum value of the positively correlated geological characteristic parameter in the study area, A is the high value of the segmentation point of the piecewise function, and a is the low value of the segmentation point of the piecewise function.

8. The method for establishing a quantitative evaluation equation for fault trap effectiveness 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 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: Obtaining the optimal solution for y1, y2, y3, y4, y5, y6, y7, y8, and y9 includes the following steps: The fault trap effectiveness evaluation equation is changed to obtain a multivariate linear equation; The optimal solutions of y1, y2, y3, y4, y5, y6, y7, y8 and y9 are determined by multiple linear regression analysis.

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

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