An optimization method and system for high-quality and high-efficiency exploration of oil and gas

Abstract

The application belongs to the technical field of oil and gas exploration, and particularly relates to an optimization method and system for high-quality and high-efficiency oil and gas exploration. n and efficiency parameters R n of the oil and gas zone n to be optimized; obtaining a comprehensive discrimination parameter E n of the oil and gas zone n to be optimized according to a quality improvement and efficiency enhancement model; and analyzing the optimization direction of the oil and gas zone n to be optimized according to the value of E n . The technical scheme of the application, on the basis of oil and gas exploration, extracts the benefit parameter and the efficiency parameter, uses the quality improvement and efficiency enhancement model for evaluation and analysis, thereby determining the investment key field direction for realizing high-efficiency exploration, guiding the scientific compilation of the oil and gas exploration planning scheme, and providing important support for the decision-making of oil and gas exploration deployment.

Description

Technical Field

[0001] This invention belongs to the field of oil and gas exploration technology, and specifically relates to an optimized method and system for high-quality and high-efficiency oil and gas exploration. Background Technology

[0002] Oil and gas exploration refers to geological surveys, geophysical exploration, drilling activities, and other related activities conducted to identify exploration areas or determine oil and gas reserves. Oil and gas exploration is the first crucial step in oil and gas extraction, forming the foundation of oil and gas extraction engineering. Its purpose is to find and identify oil and gas resources, utilize various exploration methods to understand underground geological conditions, recognize conditions related to oil generation, storage, migration, accumulation, and preservation, comprehensively evaluate oil and gas prospects, identify favorable areas for oil and gas accumulation, locate oil and gas traps, determine the area of ​​oil and gas fields, and clarify the characteristics and production capacity of oil and gas reservoirs.

[0003] Due to the dual impact of prolonged low oil prices and the global spread of the pandemic, oil and gas companies are reducing their investments in oil and gas exploration. In response to this restructuring of exploration investment, the company is required to align with national policies, reduce investment expenditures, optimize the direction of oil and gas exploration investment, and propose implementing a special action plan to improve the quality and efficiency of exploration. Summary of the Invention

[0004] To address the aforementioned problems, this invention discloses an optimized method for high-quality and efficient oil and gas exploration, the method comprising:

[0005] Obtain the parameter factors P1, P2, P3, P4, R1, R2 and R3 for the oil and gas zone n to be optimized;

[0006] Substituting the aforementioned parameter factors into the benefit formula and efficiency formula respectively, the benefit parameter P of the oil and gas zone n to be optimized is calculated. n and efficiency parameter R n ;

[0007] The comprehensive discrimination parameter E for improving the quality and efficiency of the oil and gas zone n to be optimized is obtained based on the quality improvement and efficiency enhancement model. n ;

[0008] According to E n The value of n is analyzed to determine the optimization direction of the oil and gas zone to be optimized;

[0009] Where P1 represents the oil or gas reserve resource scale P of the oil and gas zone n to be optimized. 1n The corresponding parameter factor; P2 represents the oil or gas production per kilometer well depth P in the oil and gas zone n to be optimized. 2n The corresponding parameter factor; P3 represents the degree of oil or gas reserve upgrade or utilization P in the oil and gas zone n to be optimized. 3n The corresponding parameter factor; P4 represents the oil or gas discovery cost P of the oil and gas zone n to be optimized.4n The corresponding parameter factor; R1 represents the deployment and implementation compliance rate R of the oil and gas zone n to be optimized. 1n The corresponding parameter factor; R2 represents the well deployment and implementation period R of the oil and gas zone n to be optimized. 2n The corresponding parameter factor; R3 represents the exploration or production cycle R of the oil and gas zone n to be optimized. 3n The corresponding parameter factor.

[0010] Furthermore, the method includes:

[0011] The benefit formula is P. n =P1+P2+P3+P4;

[0012] The efficiency formula is R n =R1+R2+R3

[0013] The quality improvement and efficiency enhancement model is E. n =P n *R n ;

[0014] Among them, E n The comprehensive discrimination parameters for improving the quality and efficiency of oil and gas zone n to be optimized.

[0015] Furthermore, the oil or gas reserve resource scale P of the oil and gas zone n to be optimized 1n Based on the size of oil or gas reserves, they are divided into four ranges: oil greater than or equal to 100 million tons or gas greater than or equal to 100 billion cubic meters; oil between 10 million tons and 100 million tons or gas between 30 billion cubic meters and 100 billion cubic meters; oil between 1 million tons and 10 million tons or gas between 3 billion cubic meters and 30 billion cubic meters; and oil less than 1 million tons or gas less than 3 billion cubic meters. The corresponding P1 values ​​are 0.75-1, 0.5-0.75, 0.25-0.5, and 0-0.25.

[0016] Furthermore, the oil or gas production per kilometer of well depth P in the oil and gas zone n to be optimized 2n Based on the production rate of oil or gas at a well depth of 1,000 meters, the wells are divided into four ranges: oil production greater than or equal to 15 tons / km·d or gas production greater than or equal to 100,000 cubic meters / km·d; oil production between 5 tons / km·d and 15 tons / km·d or gas production between 30,000 cubic meters / km·d and 100,000 cubic meters / km·d; oil production between 1 ton / km·d and 5 tons / km·d or gas production between 10,000 cubic meters / km·d and 30,000 cubic meters / km·d; and oil production less than 1 ton / km·d or gas production less than 10,000 cubic meters / km·d. The corresponding P2 values ​​are 0.75-1, 0.5-0.75, 0.25-0.5, and 0-0.25.

[0017] Furthermore, the degree of oil or gas reserve upgrade or utilization P in the oil and gas zone n to be optimized3n Based on the degree of upgrading or utilization of oil or gas reserves, the reserves are divided into four ranges: 70%-100%, 60%-70%, 40%-60%, and 0-40%, with corresponding P3 values ​​of 0.75-1, 0.5-0.75, 0.25-0.5, and 0-0.25.

[0018] Furthermore, the oil or gas discovery cost P of the oil and gas zone n to be optimized 4n Based on the discovery cost of oil or gas, four ranges are defined: oil less than or equal to $2 / bbl or gas less than or equal to $0.75 / bbl; oil between $2 / bbl and $3 / bbl or gas between $0.75 / bbl and $1 / bbl; oil between $3 / bbl and $4 / bbl or gas between $1 / bbl and $1.25 / bbl; and oil greater than $4 / bbl or gas greater than $1.25 / bbl. The corresponding P4 values ​​are 0.75-1, 0.5-0.75, 0.25-0.5, and 0-0.25.

[0019] Furthermore, the implementation compliance rate R of the oil and gas zone n to be optimized 1n Based on the implementation compliance rate, the rates are divided into four ranges: 0-0.5%, 0.5%-1%, 1%-2%, and 2%-100%, with corresponding R1 values ​​of 0.75-1, 0.5-0.75, 0.25-0.5, and 0-0.25.

[0020] Furthermore, the well deployment implementation cycle R of the oil and gas zone n to be optimized 2n Based on the length of the well deployment and implementation cycle, the ranges are divided into four categories: 0-15 days, 15-30 days, 30-60 days, and more than 60 days, with corresponding R² values ​​of 0.75-1, 0.5-0.75, 0.25-0.5, and 0-0.25, respectively.

[0021] Furthermore, the exploration or production cycle R of the oil and gas zone n to be optimized 3n Based on the length of the exploration or production cycle, it is divided into four ranges: 0-2 years, 2-3 years, 3-5 years, and more than 5 years. The corresponding R3 values ​​are 0.75-1, 0.5-0.75, 0.25-0.5, and 0-0.25, respectively.

[0022] Furthermore, the aforementioned according to E n The steps for analyzing the value of n to determine the optimization direction of the oil and gas zone to be optimized include the following:

[0023] If E n If the value of is greater than the first threshold, then the oil and gas zone n to be optimized is determined to be a high-efficiency and high-quality exploration area.

[0024] If E n If the value of is not greater than the first threshold, then the benefit parameter P for the oil and gas zone n to be optimized is... n and efficiency parameter R n Perform separate analyses; among them,

[0025] When the benefit parameter P n If the value is less than the second threshold, then the investment deployment plan for the oil and gas zone n to be optimized will be further optimized to improve efficiency and effectiveness; and / or,

[0026] When the efficiency parameter R n If the value is less than the third threshold, then the organization and management of the oil and gas zone n to be optimized will be optimized to improve quality and efficiency.

[0027] In another aspect, the present invention also discloses an optimization system for high-quality and high-efficiency oil and gas exploration, the optimization system comprising:

[0028] The acquisition unit is used to acquire the parameter factors P1, P2, P3, P4, R1, R2 and R3 of the oil and gas zone n to be optimized, respectively.

[0029] The calculation unit is used to substitute the parameter factors into the benefit formula and efficiency formula respectively, and calculate the benefit parameter P of the oil and gas zone n to be optimized. n and efficiency parameter R n And based on the quality improvement and efficiency enhancement model, the comprehensive discrimination parameter E for the quality improvement and efficiency enhancement of the oil and gas zone n to be optimized is obtained. n ;

[0030] Analysis unit, used to analyze E n The value of n is analyzed to determine the optimization direction of the oil and gas zone to be optimized.

[0031] Furthermore, the system also includes:

[0032] Establish units for creating benefit formulas, efficiency formulas, and quality and efficiency improvement models; among them,

[0033] The benefit formula is P. n =P1+P2+P3+P4;

[0034] The efficiency formula is R n =R1+R2+R3

[0035] The quality improvement and efficiency enhancement model is E. n =P n *R n ;

[0036] Among them, E n The comprehensive discrimination parameters for improving the quality and efficiency of oil and gas zone n to be optimized.

[0037] Furthermore, the analysis unit executes according to E n The specific steps for analyzing the value of n to determine the optimization direction of the oil and gas zone to be optimized include:

[0038] If E n If the value of is greater than the first threshold, then the oil and gas zone n to be optimized is determined to be a high-efficiency and high-quality exploration area.

[0039] If E n If the value of is not greater than the first threshold, then the benefit parameter P for the oil and gas zone n to be optimized is... n and efficiency parameter R n Perform separate analyses; among them,

[0040] When the benefit parameter P n If the value is less than the second threshold, then the investment deployment plan for the oil and gas zone n to be optimized will be further optimized to improve efficiency and effectiveness; and / or,

[0041] When the efficiency parameter R n If the value is less than the third threshold, then the organization and management of the oil and gas zone n to be optimized will be optimized to improve quality and efficiency.

[0042] Based on efficient oil and gas exploration, the technical solution of this invention extracts benefit and efficiency parameters and uses a quality and efficiency improvement model for high-quality and efficient oil and gas exploration for evaluation and analysis. This clarifies the key investment areas for achieving efficient exploration, guides the scientific formulation of oil and gas exploration planning schemes, and provides important support for oil and gas exploration deployment decisions.

[0043] Other features and advantages of the invention will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention may be realized and obtained by means of the structures pointed out in the description, claims and drawings. Attached Figure Description

[0044] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0045] Figure 1 A schematic flowchart of an optimized method for high-quality and efficient oil and gas exploration according to an embodiment of the present invention is shown.

[0046] Figure 2 A schematic diagram of the parameter system for improving quality and efficiency according to an embodiment of the present invention is shown. Detailed Implementation

[0047] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0048] This invention proposes an optimization method for high-quality and efficient oil and gas exploration to analyze the investment optimization direction of the oil and gas zone n to be optimized, such as... Figure 1 The diagram shown is a flowchart of this embodiment. The optimization method includes:

[0049] Step 1: Obtain the parameter factors P1, P2, P3, P4, R1, R2 and R3 for the oil and gas zone n to be optimized;

[0050] Step 2: Substitute the parameter factors into the benefit formula and efficiency formula respectively to calculate the benefit parameter P of the oil and gas zone n to be optimized. n and efficiency parameter R n ;

[0051] Step 3: Obtain the comprehensive discrimination parameter E for improving the quality and efficiency of the oil and gas zone n to be optimized based on the quality improvement and efficiency enhancement model. n ;

[0052] Step 4: According to E n The value of n is analyzed to determine the optimization direction of the oil and gas zone to be optimized;

[0053] Wherein, the benefit formula is P n =P1+P2+P3+P4; (1)

[0054] The efficiency formula is R n =R1+R2+R3; (2)

[0055] The quality improvement and efficiency enhancement model is E. n =P n *R n (3)

[0056] Among them, E n P1 represents the comprehensive discrimination parameter for improving the quality and efficiency of the oil and gas zone n to be optimized; P1 represents the oil or gas reserve resource scale P of the oil and gas zone n to be optimized. 1n The corresponding parameter factor; P2 represents the oil or gas production per kilometer at well depth P in the oil and gas zone n to be optimized. 2n The corresponding parameter factor; P3 represents the degree of oil or gas reserve upgrading or utilization in the oil and gas zone n to be optimized. 3nThe corresponding parameter factor; P4 represents the discovery cost P of oil or gas in the oil and gas zone n to be optimized. 4n The corresponding parameter factor; R1 represents the deployment and implementation compliance rate R of the oil and gas zone n to be optimized. 1n The corresponding parameter factor; R2 represents the well deployment and implementation period R of the oil and gas zone n to be optimized. 2n The corresponding parameter factor; R3 represents the exploration or production cycle R of the oil and gas zone n to be optimized. 3n The corresponding parameter factor.

[0057] like Figure 2 As shown, specifically, the oil or gas reserve resource scale P of the oil and gas zone n to be optimized. 1n Based on the size of oil or gas reserves, they are divided into four ranges: oil greater than or equal to 100 million tons or gas greater than or equal to 100 billion cubic meters; oil between 10 million tons and 100 million tons or gas between 30 billion cubic meters and 100 billion cubic meters; oil between 1 million tons and 10 million tons or gas between 3 billion cubic meters and 30 billion cubic meters; and oil less than 1 million tons or gas less than 3 billion cubic meters. The corresponding P1 values ​​are 0.75-1, 0.5-0.75, 0.25-0.5, and 0-0.25.

[0058] As an embodiment of the present invention, the oil reserve resource scale P of the oil and gas zone n to be optimized is used here. 1n As an example, P 1n The corresponding values ​​of P1 and P1 are explained, where P represents the oil reserve resource scale. 1n Let the value of X1 be X1, and the corresponding parameter factor P1 be Y1; specifically...

[0059] When X1 is in the range of 0-1,000,000 tons, the value of Y1 falls within the range of 0-0.25; the values ​​of X1 and Y1 follow the following relationship.

[0060] When X1 is in the range of 100-1000 million tons, the value of Y1 falls within the range of 0.25-0.5; the values ​​of X1 and Y1 follow the following relationship. And so on;

[0061] It should be noted that when X1 is within the range of oil production greater than or equal to 100 million tons, that is, when the range of X1 is infinite, the corresponding value of Y1 is the maximum value in the range of 0.75-1, that is, the corresponding parameter factor P1 is 1.

[0062] like Figure 2 As shown, the oil or gas production per kilometer of well depth P in the oil and gas zone n to be optimized 2nBased on the production rate of oil or gas at a well depth of 1,000 meters, the wells are divided into four ranges: oil production greater than or equal to 15 tons / km·d or gas production greater than or equal to 100,000 cubic meters / km·d; oil production between 5 tons / km·d and 15 tons / km·d or gas production between 30,000 cubic meters / km·d and 100,000 cubic meters / km·d; oil production between 1 ton / km·d and 5 tons / km·d or gas production between 10,000 cubic meters / km·d and 30,000 cubic meters / km·d; and oil production less than 1 ton / km·d or gas production less than 10,000 cubic meters / km·d. The corresponding P2 values ​​are 0.75-1, 0.5-0.75, 0.25-0.5, and 0-0.25.

[0063] As an embodiment of the present invention, here we take the oil well production per kilometer depth P of the oil and gas zone n to be optimized as an example. 2n As an example, P 2n The corresponding values ​​of P and P2 are explained, where P represents the production rate per kilometer of well depth. 2n The value of is set to X2, and the corresponding parameter factor P2 is set to Y2; specifically...

[0064] When X2 is in the range of 0-1 ton / km·d, the value of Y2 falls within the range of 0-0.25; the values ​​of X2 and Y2 follow the following relationship.

[0065] When X2 is in the range of 1-5 tons / km·d, the value of Y2 falls within the range of 0.25-0.5; the values ​​of X2 and Y2 follow the following relationship And so on;

[0066] It should be noted that when X2 is within the range of oil ≥ 15 tons / km·d, that is, when the range of X2 is infinite, the corresponding Y2 value is the minimum value of 0.75-1, that is, the corresponding parameter factor P2 value is 0.75.

[0067] like Figure 2 As shown, the degree of oil or gas reserve upgrading or utilization P in the oil and gas zone n to be optimized 3n Based on the degree of upgrading or utilization of oil or gas reserves, the reserves are divided into four ranges: 70%-100%, 60%-70%, 40%-60%, and 0-40%, with corresponding P3 values ​​of 0.75-1, 0.5-0.75, 0.25-0.5, and 0-0.25.

[0068] As an embodiment of the present invention, for example, the degree of oil or gas reserve upgrade or utilization P in the oil and gas zone n to be optimized. 3n The value is set to X3, and the corresponding parameter factor P3 is set to Y3;

[0069] When X3 is in the range of 70%-100%, the value of Y3 falls within the range of 0.75-1; the values ​​of X3 and Y3 follow the following relationship.

[0070] When X3 is in the range of 60%-70%, the value of Y3 falls within the range of 0.5-0.75; the values ​​of X3 and Y3 follow the following relationship.

[0071] And so on, that is, for each definite range of oil and gas zone n to be optimized, the degree of oil or gas reserve upgrading or utilization P 3n Each of them has a unique corresponding parameter factor P3 value.

[0072] like Figure 2 As shown, the oil or gas discovery cost P of the oil and gas zone n to be optimized is... 4n Based on the discovery cost of oil or gas, four ranges are defined: oil less than or equal to $2 / bbl or gas less than or equal to $0.75 / bbl; oil between $2 / bbl and $3 / bbl or gas between $0.75 / bbl and $1 / bbl; oil between $3 / bbl and $4 / bbl or gas between $1 / bbl and $1.25 / bbl; and oil greater than $4 / bbl or gas greater than $1.25 / bbl. The corresponding P4 values ​​are 0.75-1, 0.5-0.75, 0.25-0.5, and 0-0.25.

[0073] As an embodiment of the present invention, the oil discovery cost P of the oil and gas zone n to be optimized is used here. 4n As an example, P 4n The corresponding values ​​of P4 and P4 are explained, where the discovery cost P is... 4n The value of is set to X4, and the corresponding parameter factor P4 is set to Y4; specifically...

[0074] When X4 is in the range of 0-2 USD / bbl, the value of Y4 falls within the range of 0.75-1; the values ​​of X4 and Y4 follow the following relationship.

[0075] When X4 is in the range of $2-3 / bbl, the value of Y4 falls within the range of 0.5-0.75; the values ​​of X4 and Y4 follow the following relationship. And so on,

[0076] It should be noted that when X4 is within the range of oil prices greater than $4 / bbl, that is, when the range of X4 is infinite, the corresponding value of Y4 is the minimum value of 0-0.25, that is, the corresponding parameter factor Y4 is 0.

[0077] like Figure 2 As shown, the compliance rate R of the deployment and implementation of the oil and gas zone n to be optimized is... 1nBased on the implementation compliance rate, the rates are divided into four ranges: 0-0.5%, 0.5%-1%, 1%-2%, and 2%-100%, with corresponding R1 values ​​of 0.75-1, 0.5-0.75, 0.25-0.5, and 0-0.25.

[0078] As an embodiment of the present invention, the implementation compliance rate R of the oil and gas zone n to be optimized is taken here. 1n As an example, R 1n The corresponding values ​​of R1 and R2 are explained, where the deployment and implementation compliance rate R1 is the highest. 1n The value of is set to X5, and the corresponding parameter factor R1 is set to Y5; specifically...

[0079] When X5 is in the range of 0-0.5%, the value of Y5 falls within the range of 0.75-1; the values ​​of X5 and Y5 follow the following relationship.

[0080] When X5 is in the range of 0.5%-1%, the value of Y5 falls within the range of 0.5-0.75; the values ​​of X5 and Y5 follow the following relationship.

[0081] And so on, that is, the deployment and implementation compliance rate R for each definite range of oil and gas zone n to be optimized. 1n Each of them has a unique corresponding parameter factor R1 value.

[0082] like Figure 2 As shown, the well deployment and implementation cycle R of the oil and gas zone n to be optimized is... 2n Based on the length of the well deployment and implementation cycle, the ranges are divided into four categories: 0-15 days, 15-30 days, 30-60 days, and more than 60 days, with corresponding R² values ​​of 0.75-1, 0.5-0.75, 0.25-0.5, and 0-0.25, respectively.

[0083] As an embodiment of the present invention, for example, the well deployment and implementation cycle R of the oil and gas zone n to be optimized. 2n The value is set to X6, and the corresponding parameter factor R2 is set to Y6;

[0084] When X6 is in the range of 0-15 days, the value of Y6 falls within the range of 0.75-1; the values ​​of X6 and Y6 follow the following relationship.

[0085] When X6 is in the range of 15-30 days, the value of Y6 falls within the range of 0.5-0.75; the values ​​of X6 and Y6 follow the following relationship. And so on,

[0086] It should be noted that when X6 is within a range greater than 60 days, that is, when the range of X6 is infinite, the corresponding value of Y6 is the maximum value between 0 and 0.25, that is, the corresponding parameter factor R2 is 0.25.

[0087] like Figure 2 As shown, the exploration or production cycle R of the oil and gas zone n to be optimized is... 3n Based on the length of the exploration or production cycle, it is divided into four ranges: 0-2 years, 2-3 years, 3-5 years, and more than 5 years. The corresponding R3 values ​​are 0.75-1, 0.5-0.75, 0.25-0.5, and 0-0.25, respectively.

[0088] As an embodiment of the present invention, the exploration or production cycle R of the oil and gas zone n to be optimized is used here. 3n As an example, R 3n The corresponding values ​​of R and R3 are explained, where R represents the exploration or production period. 3n The value of X is set to X7, and the corresponding parameter factor R3 is set to Y7; specifically...

[0089] When X7 is in the range of 0-2 years, the value of Y7 falls within the range of 0.75-1; the values ​​of X7 and Y7 follow the following relationship.

[0090] When X7 is within the range of 2-3 years, the value of Y7 falls within the range of 0.5-0.75; the values ​​of X7 and Y7 follow the following relationship. And so on;

[0091] It should be noted that when X7 is within a range greater than 5 years, that is, when the range of X7 is infinitely large, the corresponding value of Y7 is the minimum value of 0-0.25, that is, the corresponding parameter factor R3 is 0.

[0092] In step 4, according to E n The specific optimization directions for the oil and gas zone n to be optimized, based on the value analysis, include:

[0093] Step 4.1: If E n If the value of E is greater than the first threshold, then the oil and gas zone n to be optimized is determined to be a high-efficiency and high-quality exploration area; if E n If the value of is not greater than the first threshold, then the benefit parameter P for the oil and gas zone n to be optimized is... n and efficiency parameter R n Perform separate analysis;

[0094] Step 4.2: When the benefit parameter P n If the value is less than the second threshold, the investment deployment plan for the oil and gas zone n to be optimized will be optimized to improve quality and efficiency; and / or, when the efficiency parameter Rn If the value is less than the third threshold, then the organization and management of the oil and gas zone n to be optimized will be optimized to improve quality and efficiency.

[0095] In this embodiment, for the quality and efficiency improvement model, the values ​​corresponding to each oil and gas zone n are filled in to obtain benefit parameters, efficiency parameters, and comprehensive quality and efficiency improvement judgment parameters. Furthermore, a more intuitive table or chart model is created based on the benefit parameters, efficiency parameters, and comprehensive quality and efficiency improvement judgment parameters. Based on the relevant parameters and charts, an investment optimization technical solution for quality and efficiency improvement is proposed, clarifying the key investment areas for achieving efficient exploration, guiding the scientific formulation of oil and gas exploration planning schemes, and providing important support for oil companies' oil and gas exploration deployment decisions.

[0096]

[0097] Table 1

[0098] For example, in Table 1, oil and gas zones A and M are used. Substituting the relevant parameter factors of the benefit and efficiency parameters of oil and gas zones A and M into formulas (1) and (2), the benefit and efficiency parameters of oil and gas zones A and M are calculated respectively, where P... A =1+0.51+0.8+0.95=3.26, R A =0.43 + 0.83 + 0.50 = 1.76, that is, E A =P A *R A =5.74; P M =1+0.31+0.79+0.86=2.96, R M =0.55 + 0.75 + 1 = 2.30, E M =P M *R M =6.81, indicating that oil and gas zones A and M are high-efficiency and high-quality exploration areas, and their investment deployment plans are worth learning from for other areas. Using the same method, calculations were performed on the other oil and gas zones in Table 1, revealing that oil and gas zones G, H, I, and N, as well as oil and gas zones I, G, and L, all have relatively low comprehensive evaluation parameters for quality and efficiency improvement. Specific analysis shows that the efficiency parameters of oil and gas zones G, H, I, and N are relatively low, requiring improvements in organizational management, including optimizing benchmarking management, promoting technological innovation, and deploying forward-looking plans. The benefit parameters of oil and gas zones I, G, and L are relatively low, requiring optimized investment deployment plans, including increasing investment in key areas and high-efficiency exploration zones, and strictly controlling costs and the number of deep wells.

[0099] This invention realizes the transformation from qualitative analysis to quantitative analysis and has high application value.

[0100] On the other hand, the present invention also proposes an optimized system for high-quality and high-efficiency oil and gas exploration, the optimized system comprising:

[0101] The acquisition unit is used to acquire the parameter factors P1, P2, P3, P4, R1, R2 and R3 of the oil and gas zone n to be optimized, respectively.

[0102] The calculation unit is used to substitute the parameter factors into the benefit formula and efficiency formula respectively, and calculate the benefit parameter P of the oil and gas zone n to be optimized. n and efficiency parameter R n And based on the quality improvement and efficiency enhancement model, the comprehensive discrimination parameter E for the quality improvement and efficiency enhancement of the oil and gas zone n to be optimized is obtained. n ;

[0103] Analysis unit, used to analyze E n The value of n is analyzed to determine the optimization direction of the oil and gas zone to be optimized;

[0104] Establish units for creating benefit formulas, efficiency formulas, and quality and efficiency improvement models.

[0105] The analysis unit executes according to E n The specific steps for analyzing the value of n to determine the optimization direction of the oil and gas zone to be optimized include:

[0106] If E n If the value of is greater than the first threshold, then the oil and gas zone n to be optimized is determined to be a high-efficiency and high-quality exploration area.

[0107] If E n If the value of is not greater than the first threshold, then the benefit parameter P for the oil and gas zone n to be optimized is... n and efficiency parameter R n Perform separate analyses; among them,

[0108] When the benefit parameter P n If the value is less than the second threshold, then the investment deployment plan for the oil and gas zone n to be optimized will be further optimized to improve efficiency and effectiveness; and / or,

[0109] When the efficiency parameter R n If the value is less than the third threshold, then the organization and management of the oil and gas zone n to be optimized will be optimized to improve quality and efficiency.

[0110] It is necessary to explain that when the benefit parameter P n The efficiency parameter R is less than the second threshold. n If the value is not less than the third threshold, then the investment deployment plan for the oil and gas zone n to be optimized will be optimized to improve quality and efficiency; when the benefit parameter P n The efficiency parameter R is not less than the second threshold. nWhen the value is less than the third threshold, the organization and management of the oil and gas zone n to be optimized will be improved to enhance quality and efficiency; when the benefit parameter P n The efficiency parameter R is less than the second threshold. n When the value is also less than the third threshold, it is necessary to optimize the investment deployment plan and organizational management of the oil and gas zone n to be optimized in order to improve quality and efficiency.

[0111] Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions 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. An optimized method for high-quality and efficient oil and gas exploration, characterized in that, The method includes: Obtain the parameter factors P1, P2, P3, P4, R1, R2 and R3 for the oil and gas zone n to be optimized; Substituting the aforementioned parameter factors into the benefit formula and efficiency formula respectively, the benefit parameter P of the oil and gas zone n to be optimized is calculated. n and efficiency parameter R n ; The comprehensive discrimination parameter E for improving the quality and efficiency of the oil and gas zone n to be optimized is obtained based on the quality improvement and efficiency enhancement model. n ; According to E n The value of n is analyzed to determine the optimization direction of the oil and gas zone to be optimized; Where P1 represents the oil or gas reserve resource scale P of the oil and gas zone n to be optimized. 1n The corresponding parameter factor; P2 represents the oil or gas production per kilometer well depth P in the oil and gas zone n to be optimized. 2n The corresponding parameter factor; P3 represents the degree of oil or gas reserve upgrading or utilization in the oil and gas zone n to be optimized. 3n The corresponding parameter factor; P4 represents the oil or gas discovery cost P of the oil and gas zone n to be optimized. 4n The corresponding parameter factor; R1 represents the deployment and implementation compliance rate R of the oil and gas zone n to be optimized. 1n The corresponding parameter factor; R2 represents the well deployment and implementation period R of the oil and gas zone n to be optimized. 2n The corresponding parameter factor; R3 represents the exploration or production cycle R of the oil and gas zone n to be optimized. 3n The corresponding parameter factor; The benefit formula is P. n =P1+P2+P3+P4; The efficiency formula is R n =R1+R2+R3 The quality improvement and efficiency enhancement model is E. n =P n R n ; Among them, E n The comprehensive discrimination parameters for improving the quality and efficiency of oil and gas zone n to be optimized; According to E n The steps for analyzing the value of n to determine the optimization direction of the oil and gas zone to be optimized specifically include the following: If E n If the value of is greater than the first threshold, then the oil and gas zone n to be optimized is determined to be a high-efficiency and high-quality exploration area. If the value of En is not greater than the first threshold, then the benefit parameter P for the oil and gas zone n to be optimized is... n and efficiency parameter R n Perform separate analyses; among them, when the benefit parameter P n If the value is less than the second threshold, the investment deployment plan for the oil and gas zone n to be optimized will be optimized to improve quality and efficiency; and / or, when the efficiency parameter R n If the value is less than the third threshold, then the organization and management of the oil and gas zone n to be optimized will be optimized to improve quality and efficiency.

2. The optimization method according to claim 1, characterized in that, The oil or gas reserve resource scale P of the oil and gas zone n to be optimized 1n Based on the size of the reserves, they are divided into four ranges: oil greater than or equal to 100 million tons or gas greater than or equal to 100 billion cubic meters; oil between 10 million tons and 100 million tons or gas between 30 billion cubic meters and 100 billion cubic meters; oil between 1 million tons and 10 million tons or gas between 3 billion cubic meters and 30 billion cubic meters; and oil less than 1 million tons or gas less than 3 billion cubic meters. The corresponding P1 values ​​are 0.75-1, 0.5-0.75, 0.25-0.5, and 0-0.

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3. The optimization method according to claim 1, characterized in that, The oil or gas production per kilometer well depth P of the oil and gas zone n to be optimized 2n Based on the production rate of oil or gas at a well depth of 1,000 meters, the wells are divided into four ranges: oil production greater than or equal to 15 tons / km·d or gas production greater than or equal to 100,000 cubic meters / km·d; oil production between 5 tons / km·d and 15 tons / km·d or gas production between 30,000 cubic meters / km·d and 100,000 cubic meters / km·d; oil production between 1 ton / km·d and 5 tons / km·d or gas production between 10,000 cubic meters / km·d and 30,000 cubic meters / km·d; and oil production less than 1 ton / km·d or gas production less than 10,000 cubic meters / km·d. The corresponding P2 values ​​are 0.75-1, 0.5-0.75, 0.25-0.5, and 0-0.

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4. The optimization method according to claim 1, characterized in that, The degree of oil or gas reserve upgrade or utilization P in the oil and gas zone n to be optimized 3n Based on the degree of upgrading or utilization of oil or gas reserves, the reserves are divided into four ranges: 70%-100%, 60%-70%, 40%-60%, and 0-40%, with corresponding P3 values ​​of 0.75-1, 0.5-0.75, 0.25-0.5, and 0-0.

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5. The optimization method according to claim 1, characterized in that, The oil or gas discovery cost P of the oil and gas zone n to be optimized 4n Based on the discovery cost of oil or gas, four ranges are defined: oil less than or equal to $2 / bbl or gas less than or equal to $0.75 / bbl; oil between $2 / bbl and $3 / bbl or gas between $0.75 / bbl and $1 / bbl; oil between $3 / bbl and $4 / bbl or gas between $1 / bbl and $1.25 / bbl; and oil greater than $4 / bbl or gas greater than $1.25 / bbl. The corresponding P4 values ​​are 0.75-1, 0.5-0.75, 0.25-0.5, and 0-0.

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6. The optimization method according to claim 1, characterized in that, The compliance rate R of the deployment and implementation of the oil and gas zone n to be optimized 1n Based on the implementation compliance rate, the rates are divided into four ranges: 0-0.5%, 0.5%-1%, 1%-2%, and 2%-100%, with corresponding R1 values ​​of 0.75-1, 0.5-0.75, 0.25-0.5, and 0-0.

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7. The optimization method according to claim 1, characterized in that, The well deployment implementation cycle R of the oil and gas zone n to be optimized 2n Based on the length of the well deployment and implementation cycle, the ranges are divided into four categories: 0-15 days, 15-30 days, 30-60 days, and more than 60 days, with corresponding R² values ​​of 0.75-1, 0.5-0.75, 0.25-0.5, and 0-0.25, respectively.

8. The optimization method according to claim 1, characterized in that, The exploration or production cycle R of the oil and gas zone n to be optimized 3n Based on the length of the exploration or production cycle, it is divided into four ranges: 0-2 years, 2-3 years, 3-5 years, and more than 5 years. The corresponding R3 values ​​are 0.75-1, 0.5-0.75, 0.25-0.5, and 0-0.25, respectively.

9. An optimized system for high-quality and high-efficiency oil and gas exploration, characterized in that, The optimization system includes: an acquisition unit, used to acquire the parameter factors P1, P2, P3, P4, R1, R2 and R3 of the oil and gas zone n to be optimized, respectively; The calculation unit is used to substitute the parameter factors into the benefit formula and efficiency formula respectively to calculate the benefit parameter Pn and efficiency parameter Rn of the oil and gas zone n to be optimized; and to obtain the comprehensive judgment parameter En of the quality and efficiency improvement of the oil and gas zone n to be optimized according to the quality and efficiency improvement model. The analysis unit is used to analyze the optimization direction of the oil and gas zone n to be optimized based on the value of En; The system further includes: a setup unit for establishing benefit formulas, efficiency formulas, and quality and efficiency improvement models; wherein... The benefit formula is P. n =P1+P2+P3+P4; The efficiency formula is R n =R1+R2+R3 The quality improvement and efficiency enhancement model is E. n =P n R n ; Among them, E n The comprehensive discrimination parameters for improving the quality and efficiency of oil and gas zone n to be optimized; The analysis unit executes according to E n The specific steps for analyzing the value of n to determine the optimization direction of the oil and gas zone to be optimized include: if E n If the value of is greater than the first threshold, then the oil and gas zone n to be optimized is determined to be a high-efficiency and high-quality exploration area. If E n If the value of is not greater than the first threshold, then the benefit parameter P for the oil and gas zone n to be optimized is... n and efficiency parameter R n Perform separate analyses; among them, when the benefit parameter P n If the value is less than the second threshold, the investment deployment plan for the oil and gas zone n to be optimized will be optimized to improve quality and efficiency; and / or, when the efficiency parameter R n If the value is less than the third threshold, then the organization and management of the oil and gas zone n to be optimized will be optimized to improve quality and efficiency.

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