Index evaluation method and system based on oil field production and operation business

Abstract

The invention relates to the technical field of oilfield development, in particular to an index evaluation method and system based on oilfield production and operation business, and the method comprises the following steps: constructing an oilfield enterprise evaluation index system, and achieving the comprehensive description of the operation and management condition of an oilfield enterprise; the optimal worst value of a single index is calculated, and key basic parameters are provided for index dimensionless calculation; processing the indexes of different types and different statistical units, and converting the indexes into dimensionless relative evaluation values; and calculating the weight coefficient of each level of index, and carrying out weighted summarization to form a comprehensive score capable of evaluating the overall development level of the oilfield enterprise. According to the method, technical links lacked in the prior art are effectively made up, breakpoints and blocking points in practical application are broken through, and more powerful technical support is provided for production and operation evaluation of oil field enterprises.

Description

Technical Field

[0001] The invention relates to the technical field of oilfield development, and is an index evaluation method and system based on oilfield production and operation business. Background Art

[0002] At present, China's petroleum industry has been integrated into the development trend of the world's petroleum industry. Objectively, the management model of domestic oilfield enterprises must better adapt to and integrate into the needs of the world's petroleum industry and the development of the world economy, and adapt to the new development stage with a more international, more efficient and smoother management system and mechanism. Under such a background, in order to overcome the bottleneck of enterprise development, major oil companies need to continuously track and evaluate key indicators, continuously optimize the management model, and stimulate the vitality of high-quality development of enterprises. Therefore, major oil fields urgently need a set of scientific, applicable and easy-to-operate indicator evaluation method systems to effectively evaluate the reform process of enterprise management models, quickly focus on problems and gaps, continuously improve and eliminate shortcomings, and promote the dual improvement of enterprise efficiency and benefits.

[0003] Domestic and foreign scholars have conducted extensive research on the evaluation of business management or performance evaluation methods and their applications and have achieved many beneficial results. Typical methods include the balanced scorecard method, fuzzy judgment method, and efficacy coefficient method. Among them, the balanced scorecard method constructs a multi-level performance evaluation index system for the company from four aspects: finance, customers, internal processes, and learning and growth. Then, scoring rules are constructed based on the characteristics of each indicator, including expert scoring, deduction method, and graded scoring method. After obtaining the scores of each indicator, the company's comprehensive score is summarized based on the weights of indicators at all levels. The fuzzy judgment method evaluates company performance by establishing a multi-level fuzzy comprehensive evaluation model based on the construction of an evaluation index set, an index weight set, and an index grading system (such as dividing the index value range into three categories: good, medium, and poor), and obtaining the classification level of the company's overall performance based on the evaluation factors under different classifications. The efficacy coefficient method is a widely used quantitative evaluation method for indicators. It can use a unified formula to convert different types of indicators into dimensionless relative evaluation values. The calculation steps are first to determine the satisfactory value and the unacceptable value of a single indicator, and then determine the standard coefficients of the satisfactory value and the unacceptable value. On this basis, an efficacy coefficient calculation model is established to obtain the score of a single indicator. Finally, the comprehensive score is summarized based on the weights of indicators at all levels.

[0004] The above technical methods all have certain drawbacks and cannot meet the needs of evaluating the results of oilfield enterprise management reform. The most prominent problems are reflected in two aspects:

[0005] First, there is a lack of an indicator system specifically for the management and evaluation of oilfield enterprises. The existing indicator system is basically based on the balanced scorecard theory and is constructed from four aspects: finance, customers, internal processes, and learning and growth. It cannot meet the evaluation needs of the reform of the management and operation model of oilfield enterprises.

[0006] Second, there are breakpoints and bottlenecks in the actual application of the indicator evaluation method, and a complete evaluation method system has not been formed. For example, the balanced scorecard method needs to formulate corresponding scoring rules based on the characteristics of each indicator, which is difficult to implement and has poor applicability and scalability. The fuzzy evaluation method focuses on the qualitative evaluation of the overall status of the enterprise, which cannot well reflect the changes and gaps of indicators and cannot meet the needs of horizontal and vertical comparative analysis of oilfield enterprises. Although the efficacy coefficient method can quantify different types of indicators into comparable scores, it lacks a scientific solution for obtaining satisfactory values ​​and unacceptable values ​​of indicators, and does not provide a supporting method for obtaining the indicator weight coefficients needed in the comprehensive scoring of enterprises, which has a great impact on its actual application. Summary of the invention

[0007] The present invention provides an index evaluation method and system based on oilfield production and operation business, which overcomes the shortcomings of the above-mentioned prior art and can effectively solve the problems that the existing index evaluation method lacks an index system specifically for the evaluation of oilfield enterprise operation and management, and there are breakpoints and blockages in actual application, and a complete evaluation method system has not been formed.

[0008] One of the technical solutions of the present invention is achieved by the following measures: an index evaluation method based on oilfield production and operation business, comprising the following steps:

[0009] Index system construction: construct an evaluation index system for oilfield enterprises to achieve a comprehensive description of the operation and management status of oilfield enterprises;

[0010] Calculation of the best and worst values ​​of indicators: Calculate the best and worst values ​​of individual indicators to provide key basic parameters for dimensionless calculation of indicators;

[0011] Dimensionless calculation of indicators: indicators of different types and statistical units are processed and converted into dimensionless relative evaluation values;

[0012] Indicator weight calculation: Calculate the weight coefficients of indicators at all levels, and summarize them into a comprehensive score that can evaluate the overall development level of oilfield enterprises.

[0013] The following is a further optimization and / or improvement of one of the above-mentioned technical solutions:

[0014] The indicator weight calculation includes weight allocation matrix construction and weight calculation;

[0015] When constructing the weight distribution matrix, the judgment matrix D is:

[0016]

[0017] Where, d ij is the relative importance of the i-th element relative to the j-th element; n is the number of elements in the matrix;

[0018] When calculating the weight, the square root method is used to calculate the weight value of each element, that is:

[0019]

[0020] In the formula, q i is the weight of the i-th element in a matrix, the sum of the weights of the n elements in the matrix

[0021] The dimensionless calculation of the above indicators includes the calculation of single indicator scores and the calculation of comprehensive scores;

[0022] Among them, the calculation of single indicator scores includes positive indicator calculation and negative indicator calculation;

[0023] The calculation formula of positive indicator is:

[0024]

[0025] The calculation formula of negative indicator is:

[0026]

[0027] In the formula, is the score of indicator i of oilfield enterprise x; is the actual value of index i of oilfield enterprise x; V best is the data sample set U with index i i The calculated optimal value; V worst is the data sample set U with index i i The worst value of calculation; S best is the optimal score; S worst Score the worst value;

[0028] The calculation of the comprehensive score includes the following steps: based on the weight coefficients of the indicators at each level, the scores of the indicators at the previous level are weighted from bottom to top, and finally the total score is obtained, that is:

[0029]

[0030] In the formula, is the parent index score of index i of oilfield enterprise x; q i is the weight coefficient of indicator i in the corresponding weight allocation matrix.

[0031] When calculating the optimal and worst values ​​of the indicators, use any one of the following calculation methods: taking the maximum value, taking the minimum value, taking the average value or its proportion, calculating the optimal value based on the worst value, calculating the worst value based on the optimal value, calculating the optimal value based on the maximum and minimum values, calculating the worst value based on the maximum and minimum values, and taking the quantile.

[0032] The second technical solution of the present invention is achieved by the following measures: an index evaluation system based on oilfield production and operation business, including:

[0033] The indicator system construction module is used to construct the oilfield enterprise evaluation indicator system to achieve a comprehensive description of the operation and management status of oilfield enterprises;

[0034] The best and worst value calculation module of indicators is used to calculate the best and worst values ​​of individual indicators and provide key basic parameters for dimensionless calculation of indicators;

[0035] The dimensionless indicator calculation module is used to process indicators of different types and statistical units and convert them into dimensionless relative evaluation values;

[0036] The indicator weight calculation module is used to calculate the weight coefficients of indicators at all levels and summarize them into a comprehensive score that can evaluate the overall development level of oilfield enterprises.

[0037] The third technical solution of the present invention is achieved through the following measures: a terminal device includes a memory and a processor, the memory stores a program that can be run on the processor, and the processor implements the above-mentioned indicator evaluation method based on oilfield production and operation business when executing the program.

[0038] The fourth technical solution of the present invention is achieved through the following measures: a storage medium, which stores one or more programs, and the one or more programs can be executed by one or more processors to implement the above-mentioned indicator evaluation method based on oilfield production and operation business.

[0039] The purpose of the present invention is to establish a complete set of oilfield production and operation business indicator evaluation methods, which not only includes a scientific indicator system, but also includes a matching evaluation method, which effectively makes up for the missing technical links in the existing technical methods, opens up the breakpoints and bottlenecks in practical applications, and provides more powerful technical support for the production and operation evaluation of oilfield enterprises. The present invention converts indicators of different types and magnitudes into comparable scores, which provides great convenience for the comparison and evaluation of oilfield production and operation business indicators "from the whole to the part". The present invention establishes "a set of indicator systems and three algorithm models" to form a complete set of oilfield production and operation business indicator evaluation methods. The three algorithm models are the indicator dimensionless calculation model, the optimal and worst value calculation model, and the indicator weight calculation model. The dimensionless calculation model can standardize indicators of different types and statistical units and convert them into dimensionless relative evaluation values ​​for easy comparison; the optimal and worst value calculation model provides key basic parameters for the dimensionless calculation model of a single indicator to solve the problem of blockages in practical applications; the indicator weight calculation model includes a weight allocation matrix and a supporting weight calculation algorithm, which are used to calculate the weight coefficients of indicators at all levels, thereby weightedly summarizing a comprehensive score that can evaluate the overall development level of oilfield enterprises. The present invention effectively makes up for the missing technical links in the existing technical methods, opens up the breakpoints and blockages in practical applications, and makes it have good applicability and scalability. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Attached Figure 1 This is a schematic diagram of the method flow of Example 1 of the present invention.

[0041] Attached Figure 2 This is a schematic diagram of the comparison of dimensional scores for comparative analysis between oilfield enterprises in Example 2 of the present invention.

[0042] Attached Figure 3 This is a schematic diagram of the comparison of sub-dimension scores for comparative analysis between oilfield enterprises in Example 2 of the present invention.

[0043] Attached Figure 4 This is a schematic diagram of the comparison of index scores for comparative analysis between oilfield enterprises in Example 2 of the present invention. DETAILED DESCRIPTION

[0044] The present invention is not limited by the following embodiments, and specific implementation methods can be determined based on the technical solution of the present invention and actual conditions.

[0045] In the present invention, for the convenience of description, the description of the relative position relationship of each component is described according to the layout of the drawings in the specification, such as: the position relationship of front, back, up, down, left, right, etc. is determined according to the layout direction of the drawings in the specification.

[0046] The embodiments of the present invention are further described below in conjunction with the embodiments and drawings:

[0047] Embodiment 1: As attached Figure 1 , 2 As shown in , 3, and 4, the embodiment of the present invention provides an index evaluation method based on oilfield production and operation business, comprising the following steps:

[0048] Index system construction: construct an evaluation index system for oilfield enterprises to achieve a comprehensive description of the operation and management status of oilfield enterprises;

[0049] Calculation of the best and worst values ​​of indicators: Calculate the best and worst values ​​of individual indicators to provide key basic parameters for dimensionless calculation of indicators;

[0050] Dimensionless calculation of indicators: indicators of different types and statistical units are processed and converted into dimensionless relative evaluation values;

[0051] Indicator weight calculation: Calculate the weight coefficients of indicators at all levels, and summarize them into a comprehensive score that can evaluate the overall development level of oilfield enterprises.

[0052] When the present invention is implemented, the oilfield enterprise evaluation index system is first constructed, and then the optimal and worst values ​​and scores of individual indicators are calculated. Then, according to the specific content of the index system, a weight distribution matrix is ​​established, and the weight coefficients of indicators at all levels are calculated. On this basis, the comprehensive score of the oilfield enterprise management level can be summarized, such as Figure 1 The index evaluation method based on oilfield production and operation business specifically includes the following steps:

[0053] 1. Construction of evaluation index system

[0054] 1.1. Indicator screening principles

[0055] When designing the index system, we should consider the strategic planning and development trends of the oil and gas industry, combine the management characteristics of domestic oilfield enterprises, and follow the following principles for selecting indicators: (1) Comprehensiveness principle. The index system should comprehensively cover the key elements of domestic oilfield enterprise management, conduct full-process, full-element, and full-industry chain analysis for oil and gas exploration and production business, focus on core indicators such as status quo, problems, decisions, and goals, and comprehensively cover key elements in all aspects. (2) Scientific principle. The evaluation indicators are obtained by analyzing the basic status quo of the research object and scientific calculation, rather than subjective grasp or arbitrary fabrication. The selected indicators should have clear meaning, strong representativeness, and clear calculation methods. (3) Simplicity principle. Highlight the key indicators of each business field or process link, without including all aspects of the target business. A simplified and clear index system can not only highlight the key points, but also facilitate the acquisition of data information, and provide favorable conditions for continuous analysis and application. (4) Measurability principle. Indicators should be mainly quantitative and supplemented by qualitative, combining absolute and relative quantities. They should be measurable, assessable, and data information accessible. In addition, the data sources of different entities should be unified and consistent to ensure comparability. (5) Principle of independence. Indicators of the same level should not have obvious inclusion relationships and should be independent to avoid unclear meanings and repeated evaluations.

[0056] 1.2、Indicator system construction

[0057] Based on the above principles, we selected the evaluation indicators and established the hierarchical structure of the indicator system. Although the more levels of indicators and the finer the classification, the more comprehensive the reflection of the characteristics of modern oilfield enterprises, the operability and efficiency will be reduced, so it is also crucial to formulate a reasonable hierarchical structure. We absorbed and learned from the hierarchical structure of the indicator system commonly used by first-class domestic and foreign companies and peers, taking into account the principles of simplicity and comprehensiveness, and built a four-level framework indicator system of "4+12+26+24" around the four dimensions of development foundation, management efficiency, oil and gas production, and operating efficiency (see Table 1). However, this indicator system is not fixed and can be increased or decreased based on actual needs.

[0058] Table 1 Oilfield production and operation evaluation index system

[0059]

[0060]

[0061] 2. Index weight calculation model

[0062] Index weight is a necessary parameter for calculating the comprehensive score of oilfield enterprises. The methods for determining weight can be divided into two categories: subjective weight determination method and objective weight determination method. In the subjective weight determination method, the weight of each index is obtained by subjective judgment of one or more experts based on years of research or work experience, such as hierarchical analysis method, Delphi method, etc. In the objective weight determination method, the evaluation object must be subdivided first, and the weight of the index is formed by the actual data of the evaluation object, such as principal component analysis method, artificial neural network method, etc. Although the objective weight determination method can avoid the influence of human subjective factors, it has very high requirements on the data sample size and evaluation criteria. A large number of applications show that for multi-index evaluation systems, the most commonly used method for determining index weights is the hierarchical analysis method. Therefore, the embodiment of the present invention constructs an index weight calculation model for oilfield enterprises based on the hierarchical analysis method. The index weight calculation includes weight distribution matrix construction and weight calculation.

[0063] 2.1. Construction of weight distribution matrix

[0064] (1) When constructing the weight distribution matrix, according to the principle of hierarchical analysis, a multi-level structure is divided according to the mutual influence and affiliation between the constituent factors. The factors of the same level are compared with each other, and the importance of one factor compared with another factor is described by qualitative language such as "equally important", "slightly important", and "obviously important". The relative importance is expressed by a numerical matrix, and the judgment matrix D can be obtained as follows:

[0065]

[0066] Where, d ij is the relative importance of the i-th element relative to the j-th element; n is the number of elements in the matrix.

[0067] It should be noted here that d ij With d ji They are inversely related, that is, d ij =1 / d ji The relative importance value is assigned based on expert experience, and the value range is generally 1 / 9 to 9. The larger the value, the higher the importance of element i relative to element j. In order to intuitively display the relationship between the values, they are usually displayed in the form of fractions in practical applications.

[0068] The above-mentioned weight allocation matrix construction method is applied to the construction of the weight calculation matrix of the oilfield enterprise indicator system, that is, the matrices at each level are all matrix elements with the subordinate sub-level indicators. For example, the matrix at the dimension level has the four sub-dimensional indicators of development foundation, management efficiency, oil and gas production and operating efficiency as matrix elements (see Table 2). The matrix of the development foundation sub-dimension has the three indicators of oil and gas resources, human resources and technical resources as elements. It can be seen that the matrix units are divided by the parent indicators and the sub-level indicators are used as elements, and are constructed from top to bottom, level by level and indicator by indicator, until there are no sub-levels. According to the above-mentioned weight allocation matrix construction method, 23 weight allocation matrices of indicators at each level in the indicator system are established respectively.

[0069] Table 2 Dimensional level weight distribution matrix

[0070] index Development foundation Management Effectiveness Oil and gas production Business Benefits Weight Development foundation 1 3 / 2 5 / 6 3 / 7 0.1978 Management Effectiveness 2 / 3 1 4 / 9 1 / 3 0.1296 Oil and gas production 6 / 5 9 / 4 1 1 0.2964 Business Benefits 7 / 3 3 1 1 0.3761

[0071] 2.2 Weight calculation

[0072] (2) When calculating the weight, based on the construction of the weight distribution matrix, the square root method is used to calculate the weight value of each element, that is:

[0073]

[0074] In the formula, q i is the weight of the i-th element in a matrix, the sum of the weights of the n elements in the matrix The weight coefficients of indicators at all levels are calculated according to the above weight calculation method. Table 3 shows the weight calculation results of indicators at all levels in the indicator system.

[0075] Table 3 Summary of indicator weight calculation results

[0076]

[0077]

[0078] 3. Dimensionless calculation model of indicators

[0079] The dimensionless calculation of indicators includes the calculation of single indicator scores and the calculation of comprehensive scores.

[0080] 3.1. Calculation of single indicator scores

[0081] In order to carry out horizontal and vertical analysis of indicators among different oil and gas field enterprises, it is necessary to perform dimensionless calculations on different types of indicators, quantify them into comparable scores, and then weight them step by step to form a comprehensive score that can comprehensively evaluate the overall management level of the enterprise. The dimensionless calculation model constructed in the embodiment of the present invention has strong convenience, operability and versatility. Among them, the calculation of the score of a single indicator includes the positive indicator (V best >Vworst ) calculation and negative indicator (V best <V worst ) is calculated as follows:

[0082] Positive indicator (V best >V worst ) is calculated as:

[0083]

[0084] Negative indicator (V best <V worst ) is calculated as:

[0085]

[0086] In the formula, is the score of indicator i of oilfield enterprise x; is the actual value of index i of oilfield enterprise x; V best is the data sample set U with index i i The calculated optimal value; V worst is the data sample set U with index i i The worst value of calculation; S best is the optimal score; S worst The worst score, usually specified by researchers themselves, is used to limit the score distribution range.

[0087] 3.2. Calculation of comprehensive score

[0088] The calculation of the comprehensive score includes the following steps: based on the weight coefficients of the indicators at each level, the scores of the indicators at the previous level are weighted from bottom to top, and finally the total score is obtained, that is:

[0089]

[0090] In the formula, S xiF is the parent index score of index i of oilfield enterprise x; q i is the weight coefficient of indicator i in the corresponding weight allocation matrix.

[0091] It can be found that there is a key point in the dimensionless calculation model of the indicator, that is, the optimal and worst values ​​of the indicator (V best 、V worst ). Whether the value is reasonable or not is directly related to the scientificity and rationality of the scoring result. Therefore, the embodiment of the present invention constructs a matching optimal and worst value calculation model to further open up the breakpoints in the application.

[0092] 4. Calculation model of optimal and worst value of indicators

[0093] The optimal and worst values ​​of indicators are key cardinality parameters for calculating dimensionless scores of individual indicators. Although they can be directly specified by researchers, this mode is relatively subjective, lacks objective basis, and is difficult to implement. Once the data sample changes, it needs to be re-specified. Therefore, it is necessary to study and establish a matching optimal and worst value calculation model so that researchers can flexibly select models for calculation based on the distribution characteristics and scoring requirements of indicator data samples, so that the scores of different enterprise indicators are in a reasonable range and reflect a reasonable gap. The embodiment of the present invention provides 8 matching optimal and worst value calculation models around the implementation logic of the dimensionless calculation model. When calculating the optimal and worst values ​​of indicators, any one of the following calculation methods is used for calculation: taking the maximum value, taking the minimum value, taking the average value or its proportion, calculating the optimal value based on the worst value, calculating the worst value based on the optimal value, calculating the optimal value based on the maximum and minimum values, calculating the worst value based on the maximum and minimum values, and taking the quantile, as shown in Table 4. The specific method is as follows:

[0094] Researchers can select the indicator data sample set U according to their needs i , which can contain data samples of multiple oilfield enterprises and multiple years of indicators i.

[0095]

[0096] Where: m is the number of oilfield enterprises participating in the comparative evaluation.

[0097] Table 4 Calculation model of the best and worst values ​​of indicators

[0098]

[0099] The embodiment of the present invention effectively makes up for the missing technical links in the existing technical methods, clears the breakpoints and bottlenecks in practical applications, and makes it have good applicability and scalability. Its advancedness is mainly reflected in three aspects: (1) The indicator weight calculation model is composed of multiple independent matrix units. The matrices at the same level do not affect each other. The weight coefficient is easy to adjust, which can effectively support the expansion and optimization of the indicator system without global redistribution. (2) The dimensionless indicator calculation model can standardize indicators of different types and statistical units and convert them into dimensionless scores. Combined with the indicator weights, the comprehensive scores of each level can be weighted and summarized step by step. Therefore, it can effectively support multi-level and multi-angle indicator evaluation and comparative analysis, which is convenient for business managers to quickly focus on problems and gaps and clarify the direction of improvement. (3) The matching indicator optimal and worst value calculation model effectively solves the problem of lack of objective basis for the optimal and worst value in the actual application of dimensionless indicator calculation. Researchers can flexibly select models for calculation based on the distribution characteristics of indicator data samples and scoring requirements, so that the scores of different enterprise indicators are in a reasonable range and form a reasonable gap.

[0100] The embodiment of the present invention has been applied in the comprehensive evaluation of the operation and management of Xinjiang Oilfield since 2019, and has achieved good results and good practicality, which is specifically reflected in the following aspects: (1) The indicator system realizes a comprehensive and scientific reflection of the operation and management status of the main business of oilfield enterprises, and the business coverage rate reaches more than 90%; (2) The allocation of indicator weight coefficients and the score calculation results are more scientific and reasonable, and the actual compliance rate reaches more than 95%, and the degree of recognition of departments and units at all levels is high; (3) The data requirements are simple, of which more than 70% of the basic data can be directly obtained from the existing database of the oilfield, and the remaining data can be obtained by simple statistics by technical personnel, which reflects good practicality; (4) It provides strong support for the company to strengthen supervision and assessment and benchmarking improvement work, and can better guide the company's operation and management problem discovery, cause analysis and improvement goal setting, and the adjustment measure decision-making efficiency and execution efficiency are therefore improved by more than 30%.

[0101] The purpose of the embodiment of the present invention is to establish a complete set of oilfield production and operation business indicator evaluation methods, which not only includes a scientific indicator system, but also includes a supporting evaluation method, which effectively makes up for the missing technical links in the existing technical methods, opens up the breakpoints and bottlenecks in practical applications, and provides more powerful technical support for the production and operation evaluation of oilfield enterprises. The embodiment of the present invention converts indicators of different types and magnitudes into comparable scores, which provides great convenience for the comparison and evaluation of oilfield production and operation business indicators "from the whole to the part". The embodiment of the present invention establishes "1 set of indicator systems and 3 algorithm models" to form a complete set of oilfield production and operation business indicator evaluation methods. The core content of the embodiment of the present invention includes "1 set of indicator systems and 3 algorithm models". Among them, 1 set of indicator systems refers to a "4+12+26+24" four-level architecture multi-dimensional indicator system specifically for oilfield enterprises, which realizes a comprehensive description of the operation and management status of oilfield enterprises and solves the problem of lack of indicator systems. The three algorithm models are indicator dimensionless calculation model, optimal and worst value calculation model and indicator weight calculation model. The dimensionless calculation model can standardize indicators of different types and statistical units and convert them into dimensionless relative evaluation values ​​for easy comparison; the optimal and worst value calculation model provides key basic parameters for the dimensionless calculation model of a single indicator to solve the problem of bottlenecks in practical applications; the indicator weight calculation model includes a weight allocation matrix and a supporting weight calculation algorithm, which are used to calculate the weight coefficients of indicators at all levels, thereby weightedly summarizing a comprehensive score that can evaluate the overall development level of oilfield enterprises. The embodiment of the present invention effectively makes up for the missing technical links in the existing technical methods, clears the breakpoints and bottlenecks in practical applications, and makes it have good applicability and scalability.

[0102] Embodiment 2: As attached Figure 1 , 2As shown in , 3, and 4, the embodiment of the present invention takes the oil and gas production dimension in the indicator system as an example to introduce the entire implementation process of the embodiment of the present invention.

[0103] (1) Evaluation indicators

[0104] The evaluation indicators of the oil and gas production dimension include three sub-dimensions: production scale, production control and green production. Each sub-dimension has one or two levels of indicators (see Table 5).

[0105] Table 5 Evaluation indicators of oil and gas production dimensions

[0106]

[0107] (2) Weight matrix establishment and weight calculation

[0108] First, a weight matrix of the oil and gas production dimension is established to calculate the weight coefficients of the three sub-dimensions of production scale, production control and green production. Since these three sub-dimensions are equally important, the importance scales are all assigned 1. The weight coefficients calculated using the square root method are shown in Table 6.

[0109] Table 6 Oil and gas production dimension weight matrix

[0110] index Production scale Production Control Green Production Weight Production scale 1 1 1 0.3333 Production Control 1 1 1 0.3333 Green Production 1 1 1 0.3333

[0111] Then, the weight matrices of production scale, production control and green production are established respectively. According to the mutual importance management among the indicators, importance scale values ​​are assigned in combination with expert knowledge, and the weight coefficients of their subordinate indicators are calculated (see Table 7, Table 8 and Table 9).

[0112] Table 7 Production scale sub-dimension weight matrix

[0113] index Production scale Production Control Weight Oil and gas equivalent 1 5 0.8333 Clean energy structure ratio 1 / 5 1 0.1667

[0114] Table 8 Production control sub-dimension weight matrix

[0115]

[0116] Table 9 Weight matrix of green production sub-dimensions

[0117] index Production safety accident rate Energy saving and emission reduction improvement rate Weight Production safety accident rate 1 2 0.6667 Energy saving and emission reduction improvement rate 1 / 2 1 0.3333

[0118] The two indicators of production safety accident rate and energy conservation and emission reduction also have sub-indicators. The same method is used to establish the matrix and calculate the weight coefficients. The final weight coefficient results of indicators at all levels in the oil and gas production sub-dimension are shown in Table 10.

[0119] Table 10 Calculation results of weights of indicators at all levels in the oil and gas production dimension

[0120]

[0121] (3) Obtain the best and worst values ​​of the lowest level indicators

[0122] The lowest level indicators of the oil and gas production dimension are oil and gas equivalent, clean energy structure ratio, absolute oil (gas) volume decline rate, water cut increase rate / oil-gas ratio, effectiveness of measures, death rate per million man-hours, blowout accident rate per million man-hours, pollutant emission reduction rate, energy consumption reduction rate per ton of oil, and energy and water saving.

[0123] For example, the oil and gas equivalent index collected a total of 48 data points from 16 oil and gas field companies in the past three years, and these data were used as a sample set (see Table 11).

[0124] Table 11 Oil and gas equivalent index sample set

[0125]

[0126]

[0127] On this basis, in order to make the score more reasonable and minimize the impact of extreme values ​​or extreme values, some outliers can be removed. For example, the best value can be the maximum value after removing ≥4000, which is 3550; and the worst value can be the minimum value after removing ≤400, which is 449.

[0128] In addition, the calculation of the best and worst values ​​also includes statistical algorithm models such as taking the average value or its proportion, calculating the best value based on the worst value, calculating the worst value based on the best value, calculating the best value based on the maximum and minimum values, calculating the worst value based on the maximum and minimum values, and quantiles.

[0129] If you think that directly taking the maximum and minimum values ​​is too simple, you can further use the "reverse calculation algorithm based on the maximum and minimum values" to calculate the optimal and worst values ​​based on the maximum and minimum values ​​after eliminating the abnormalities.

[0130] Assuming the maximum value is 3550 with a score of 90, the minimum value is 449 with a score of 30, the optimal value has an upper limit of 100 points, and the worst value has a lower limit of 30; thus, the optimal value is calculated to be 4135 and the worst value is 449.

[0131] According to the above method, the best and worst values ​​of the 10 lowest-level indicators under the oil and gas production dimension are calculated one by one, see Table 12.

[0132] Table 12 Calculation results of the best and worst values ​​of the lowest level indicators under the oil and gas production dimension

[0133]

[0134] (4) Calculate the scores of indicators at all levels

[0135] First, calculate the scores of the 10 lowest-level indicators (note the distinction between positive and negative indicators; absolute oil (gas) volume decline rate, water cut increase rate / oil-gas ratio, death rate per million man-hours, and blowout accident rate per million man-hours are negative indicators).

[0136] For example, the target company's oil and gas equivalent in 2022 is 15.5934 million tons. The upper limit of the best value score is set to 100 points, and the lower limit of the worst value score is set to 30. The score is calculated as = (1559.34-449) / (3550-449)×(100-30)+30=55.06.

[0137] According to this method, all the lowest level index scores are calculated, and then the upper level index scores are weighted and summarized step by step (see Table 13). Finally, a comprehensive and multi-level comparative analysis between oilfield enterprises is formed, such as Figures 2 to 4 shown.

[0138] Table 13 Calculation results of scores of indicators at all levels in the oil and gas production dimension

[0139]

[0140] The embodiment of the present invention establishes a complete set of oilfield production and operation business indicator evaluation methods, which effectively makes up for the missing technical links in the existing technical methods, clears the breakpoints and bottlenecks in practical applications, and provides more powerful technical support for the production and operation evaluation of oilfield enterprises.

[0141] Embodiment 3: As attached Figure 1 , 2 As shown in , 3, and 4, the embodiment of the present invention provides an index evaluation system based on oilfield production and operation business, including:

[0142] The indicator system construction module is used to construct the oilfield enterprise evaluation indicator system to achieve a comprehensive description of the operation and management status of oilfield enterprises;

[0143] The best and worst value calculation module of indicators is used to calculate the best and worst values ​​of individual indicators and provide key basic parameters for dimensionless calculation of indicators;

[0144] The dimensionless indicator calculation module is used to process indicators of different types and statistical units and convert them into dimensionless relative evaluation values;

[0145] The indicator weight calculation module is used to calculate the weight coefficients of indicators at all levels and summarize them into a comprehensive score that can evaluate the overall development level of oilfield enterprises.

[0146] During implementation, we first construct an oilfield enterprise evaluation index system, and then calculate the best and worst values ​​and scores of individual indicators. Then, based on the specific content of the index system, we establish a weight distribution matrix, calculate the weight coefficients of indicators at all levels, and on this basis, we can summarize the comprehensive score of the oilfield enterprise's management level.

[0147] The embodiments of the present invention effectively make up for the missing technical links in the existing technical methods, get through the breakpoints and bottlenecks in practical applications, and provide more powerful technical support for the production and operation evaluation of oilfield enterprises. The dimensionless indicator calculation module can standardize indicators of different types and statistical units and convert them into dimensionless relative evaluation values ​​to facilitate comparison; the optimal and worst indicator value calculation module provides key basic parameters for the dimensionless calculation module of the single indicator to solve the bottleneck problem in practical applications; the indicator weight calculation module is used to calculate the weight coefficients of indicators at all levels, so as to weight and summarize a comprehensive score that can evaluate the overall development level of oilfield enterprises. The embodiments of the present invention effectively make up for the missing technical links in the existing technical methods, get through the breakpoints and bottlenecks in practical applications, and make it have good applicability and scalability.

[0148] Embodiment 4: An embodiment of the present invention provides a terminal device, which includes a memory, a processor, a communication interface and a communication bus. The memory stores a program that can be run on the processor. When the processor executes the program, it implements the indicator evaluation method based on oilfield production and operation business described in the above embodiment.

[0149] The processor may be a central processing unit, or other general-purpose processors, digital signal processors, application-specific integrated circuits, field programmable gate arrays or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or a combination of the above chips.

[0150] The memory, as a non-transitory computer-readable storage medium, can be used to store non-transitory software programs, non-transitory computer executable programs and units, such as the corresponding program units in the above method embodiments of the present invention. The processor executes various functional applications of the processor and works data processing by running the non-transitory software programs, instructions and modules stored in the memory, that is, realizing the index evaluation method based on oilfield production and operation business described in the above embodiments.

[0151] The memory may include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application required by at least one function; the data storage area may store data created by the processor, etc. In addition, the memory may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one disk storage device, a flash memory device, or other non-volatile solid-state storage device. The memory may optionally include a memory remotely arranged relative to the processor, and these remote memories may be connected to the processor via a network. The one or more programs are stored in the memory, and when executed by the processor, the index evaluation method based on oilfield production and operation business described in the above embodiment is executed.

[0152] Embodiment 5: The embodiment of the present invention provides a storage medium for computer-readable storage, wherein the storage medium stores one or more programs, and the one or more programs can be executed by one or more processors to implement an indicator evaluation method based on oilfield production and operation business as described in any one of the above method embodiments.

[0153] The storage medium may be an internal storage unit of the terminal device, such as a hard disk or memory of the terminal device. The storage medium may also be an external storage device of the terminal device, such as a plug-in hard disk, smart memory card, secure digital card, flash memory card, etc. equipped on the terminal device.

[0154] The above technical features constitute an embodiment of the embodiment of the present invention, which has strong adaptability and implementation effect. Non-essential technical features can be added or reduced according to actual needs to meet the needs of different situations.

Claims

1. An index evaluation method based on oilfield production and operation business, Features The following steps are involved: Index system construction: construct an evaluation index system for oilfield enterprises to achieve a comprehensive description of the operation and management status of oilfield enterprises; Calculation of the best and worst values ​​of indicators: Calculate the best and worst values ​​of individual indicators to provide key basic parameters for dimensionless calculation of indicators; Dimensionless calculation of indicators: indicators of different types and statistical units are processed and converted into dimensionless relative evaluation values; Indicator weight calculation: Calculate the weight coefficients of indicators at all levels, and summarize them into a comprehensive score that can evaluate the overall development level of oilfield enterprises.

2. The index evaluation method based on oilfield production and operation business according to claim 1, Features The indicator weight calculation includes weight distribution matrix construction and weight calculation: When constructing the weight distribution matrix, the judgment matrix D is: Where, d ij is the relative importance of the i-th element relative to the j-th element; n is the number of elements in the matrix; When calculating the weight, the square root method is used to calculate the weight value of each element, that is: In the formula, q i is the weight of the i-th element in a matrix, the sum of the weights of the n elements in the matrix 3. The index evaluation method based on oilfield production and operation business according to claim 1 or 2, Features The dimensionless calculation of indicators includes the calculation of single indicator scores and the calculation of comprehensive scores; Among them, the calculation of single indicator scores includes positive indicator calculation and negative indicator calculation; The calculation formula of positive indicator is: The calculation formula of negative indicator is: In the formula, is the score of indicator i of oilfield enterprise x; is the actual value of index i of oilfield enterprise x; V best is the data sample set U with index i i The calculated optimal value; V worst is the data sample set U with index i i The worst value of calculation; S best is the optimal score; S worst Score for the worst value; The calculation of the comprehensive score includes the following steps: based on the weight coefficients of the indicators at each level, the scores of the indicators at the previous level are weighted from bottom to top, and finally the total score is obtained, that is: In the formula, is the parent index score of index i of oilfield enterprise x; q i is the weight coefficient of indicator i in the corresponding weight allocation matrix.

4. The index evaluation method based on oilfield production and operation business according to claim 1 or 2, Features When calculating the optimal and worst values ​​of the indicators, use any one of the following calculation methods: taking the maximum value, taking the minimum value, taking the average value or its proportion, calculating the optimal value based on the worst value, calculating the worst value based on the optimal value, calculating the optimal value based on the maximum and minimum values, calculating the worst value based on the maximum and minimum values, and taking the quantile.

5. The index evaluation method based on oilfield production and operation business according to claim 3, Features When calculating the optimal and worst values ​​of the indicators, use any one of the following calculation methods: taking the maximum value, taking the minimum value, taking the average value or its proportion, calculating the optimal value based on the worst value, calculating the worst value based on the optimal value, calculating the optimal value based on the maximum and minimum values, calculating the worst value based on the maximum and minimum values, and taking the quantile.

6. An index evaluation system based on oilfield production and operation business, Features include: The indicator system construction module is used to construct the oilfield enterprise evaluation indicator system to achieve a comprehensive description of the operation and management status of oilfield enterprises; The best and worst value calculation module of indicators is used to calculate the best and worst values ​​of individual indicators and provide key basic parameters for dimensionless calculation of indicators; The dimensionless indicator calculation module is used to process indicators of different types and statistical units and convert them into dimensionless relative evaluation values; The indicator weight calculation module is used to calculate the weight coefficients of indicators at all levels and summarize them into a comprehensive score that can evaluate the overall development level of oilfield enterprises.

7. A terminal device, comprising a memory and a processor, wherein the memory stores a program that can be run on the processor, It is characterized in that When the processor executes the program, the index evaluation method based on oilfield production and operation business as described in any one of claims 1 to 5 is implemented.

8. A storage medium, It is characterized in that The storage medium stores one or more programs, and the one or more programs can be executed by one or more processors to implement the indicator evaluation method based on oilfield production and operation business as described in any one of claims 1 to 5.

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