A method and device for optimizing well pattern system for oil and gas field development evaluation

Abstract

The embodiment of the present invention discloses a method and device for optimizing a well network system for oil and gas field development evaluation. The method for optimizing a well network system for oil and gas field development evaluation includes: establishing a geological model based on the acquired geological characteristics of the target oil and gas field; completing historical matching according to the development stage of the target oil and gas field based on the geological model; establishing a numerical simulation model of the well network system available for the target oil and gas field based on the historical matching to obtain multiple numerical simulation models of the well network system; evaluating the numerical simulation models of the multiple well network systems to obtain evaluation results; screening the numerical simulation models of the well network system that meet the conditions based on the set conditions and the evaluation results; using the established comprehensive evaluation index mathematical model to evaluate the screened numerical simulation models of the well network system to obtain the optimal numerical simulation model of the well network system. The purpose of reducing the amount of calculation, comprehensive evaluation indicators and strong objectivity of evaluation is achieved.

Description

Technical Field

[0001] The present invention belongs to the technical field of oil and gas reservoirs, and more specifically, relates to a method and a device for optimizing a well pattern system for oil and gas field development and evaluation. Background Art

[0002] Well network system evaluation and deployment are important contents in the conceptual design and preparation of oilfield development plans. The well network system includes three aspects of research content: first, the selection of well network form, including row well network, area well network and irregular well network; second, the selection of well type, including vertical well, high-angle well, horizontal well, etc., which needs to be considered to improve the degree of reserve control with the well network form; third, the selection of well spacing, which needs to be selected by comprehensively weighing technical and economic indicators, and it is necessary to meet the high recovery rate as much as possible and have certain economic benefits. A reasonable well network system must be the result of a comprehensive balance between oilfield development effect and economic benefits. Therefore, the optimization process of the well network system is to achieve the goal of maximizing the comprehensive production benefits by adjusting the injection / production well relationship and well location deployment. However, due to the large number of control variables involved, such as the diversity of related parameters (involving geological parameters, production parameters and economic evaluation parameters), and the relationship between parameters and the degree of influence on oil and gas field development are very complex, the problem faced by the research on the optimization of well network in oil and gas field development evaluation is difficult.

[0003] The prior art proposes an optimization device for the well pattern distribution of fractured horizontal wells, including a single well model building module, a well pattern model building module and an optimization module. With the economic net present value as the objective function, a preset algorithm is used to simultaneously optimize the single well parameter value of the single well numerical model and the well pattern parameter value of the well pattern numerical model. With the single evaluation index net present value as the optimization target, the production index is not considered, and the comprehensive optimization of production and economic indexes is not involved. A method for optimizing the well pattern of a tight gas reservoir is based on the starting pressure gradient, and the well pattern spacing is determined to be greater than the economic limit well spacing and less than twice the reservoir limit utilization radius. The well pattern spacing is finally determined according to the internal return requirements. The well pattern involved in the method is aimed at the development of tight gas reservoirs, and does not involve the injection-production relationship. The determination of the well pattern mainly focuses on the reasonable control reserves of a single well under the premise of meeting the internal rate of return. The irregular well pattern optimization method and its computer-readable storage medium calculate the recovery rate or net present value, and optimize the well pattern with the goal of obtaining the maximum recovery rate or net present value. A method for optimizing the design of injection and production well networks in the spatial structure of fracture-cavity reservoirs, a method for optimizing the design of well networks in water-drive reservoirs, a method for optimizing and adjusting the injection and production relationship of a well group, and a method for optimizing the well network for the development of tight sandstone gas reservoirs use numerical simulation methods, and the ultimate goal is to increase the recovery rate during the optimization process. The method for optimizing the well network for the development of complex fault block reservoirs is mainly aimed at complex fault block reservoirs, and the goal is also to obtain the maximum production. An adaptive well network optimization method based on a gradient algorithm proposes an optimization iteration by continuously constructing a new well network, obtaining the net present value of the corresponding well network development and the inverse of the net present value of a series of adjusted well networks to obtain the point where the net present value derivative is 0, and obtain the well network type corresponding to the highest economic benefit. A method for optimizing the horizontal well plane well network involves the development of block or thick-layered reservoirs. This method solves the problem of low reserve utilization and water drive sweep coefficient in the production of single-layer horizontal wells, improves the oil production rate and recovery rate of the reservoir, and reduces the development cost. This patent still takes recovery rate as the optimal goal. Well pattern and spacing optimization and development effect influencing factors analysis of Sulige gas field Based on the analysis of the special reservoir distribution of Sulige gas field, numerical simulation was used to determine the well pattern type and well spacing adjusted in the early and late development of the gas field with block recovery rate and average cumulative production of single well as optimization targets. The technical optimization target is the production target, and the optimization of economic indicators is not quantitatively considered. The optimization of development methods for the Kiyak Salt IV area, reservoir classification evaluation and water injection development plan optimization for the M oilfield in Tazhong, and the demonstration of reasonable development methods for low permeability reservoirs - taking the North Nurali Oilfield in Kazakhstan as an example, the well pattern and spacing optimization of the Zenan block and the production capacity prediction of small well groups are all designed with cumulative production as the optimal target. The optimization targets involved in the well pattern design of the narrow channel tight sandstone gas reservoir in western Sichuan are the calculation of production targets and economic indicators respectively, and a comprehensive qualitative comparison is made in combination with human experience judgment, without considering the quantitative comprehensive optimization of production and economic indicators at the same time.Application of fuzzy mathematics in well network selection in Yuan 48 well area, multi-objective planning model and scheme evaluation of oilfield development. A comprehensive evaluation model for optimizing well network was established using fuzzy mathematics methods, which comprehensively considered production indicators and economic indicators, but the calculation process was relatively cumbersome and there were human subjective factors. Discussion on new methods for comprehensive evaluation of oil and gas field development schemes, new methods for optimizing gas field development schemes and their applications. The literature can consider economy and production, but there are human subjective factors, and the calculation process is complicated and not very practical.

[0004] In summary, the current well network system selection and optimization methods mainly include: 1) relying on the experience of reservoir engineers combined with analogies to manually select well networks; 2) single-objective optimization design, setting a single evaluation objective function (recovery rate or net present value, etc.), based on optimization theory combined with numerical simulation technology to analyze the development effects of different well network systems, and obtain the optimal solution of the objective function. There are currently two types of indicators commonly used as well network system optimization indicators. One is production indicators, including recovery rate / water content / cumulative production / remaining oil saturation / connectivity between injection and production wells. You can choose any one of these indicators as the optimization objective function; the other is economic indicators, including net present value and internal rate of return. The first type relies on the experience of reservoir engineers, which is highly subjective and has a high risk of decision-making results; the second type of single-objective evaluation method is more objective and reliable to a certain extent, but there are problems with one-sided evaluation indicators or more complex algorithms, and there is a lack of comprehensive indicator optimization methods that combine production and benefit indicators for rapid quantitative multi-objective analysis and evaluation. In the process of realizing the present invention, the inventors found that there are at least the following problems in the prior art Summary of the invention

[0005] In view of this, an embodiment of the present invention provides a method and device for optimizing a well pattern system for oil and gas field development evaluation, which at least solves the problems of strong subjectivity, complicated calculation process and one-sided evaluation indicators in the prior art.

[0006] In a first aspect, an embodiment of the present invention provides a method for optimizing a well pattern system for oil and gas field development evaluation, comprising:

[0007] Establish a geological model based on the acquired geological characteristics of the target oil and gas field;

[0008] Performing history matching based on the geological model according to the development stage of the target oil and gas field;

[0009] Based on the history matching, a numerical simulation model of a well pattern system available for a target oil and gas field is established to obtain a plurality of numerical simulation models of the well pattern system;

[0010] Evaluate the numerical simulation models of multiple well pattern systems and obtain evaluation results;

[0011] Screening the numerical simulation model of the well pattern system that meets the conditions based on the set conditions and evaluation results;

[0012] The established comprehensive evaluation index mathematical model is used to evaluate the numerical simulation model of the screened well network system, and the optimal numerical simulation model of the well network system is obtained.

[0013] Optionally, completing history matching based on the geological model according to the development stage of the target oil and gas field includes: completing oil testing, test production and / or production history matching according to the development stage of the target oil and gas field.

[0014] Optionally, a numerical simulation model of a well pattern system available for a target oil and gas field is established based on the history matching, and multiple numerical simulation models of well pattern systems are obtained.

[0015] The available well network system includes a combination of well types, well spacings, and well network forms.

[0016] Optionally, a numerical simulation model of a well pattern system available for a target oil and gas field is established based on the history matching, and multiple numerical simulation models of well pattern systems are obtained, including:

[0017] Based on the numerical simulation model of the well pattern system, the production and workload indicators of the well pattern system are obtained.

[0018] Optionally, the production index includes production, production during the peak stable production period, cumulative production, recovery factor and / or terminal water content;

[0019] The workload indicators include the number of production wells, the number of injection wells, the number of transfer wells, perforations and measures.

[0020] Optionally, the numerical simulation models of multiple well pattern systems are evaluated to obtain evaluation results, including:

[0021] The production requirements of the target oil and gas field are evaluated based on the region where the target oil and gas field is located and its production.

[0022] Optionally, the comprehensive evaluation index mathematical model is established based on oil and gas field recovery factor, peak production during stable production period and net present value.

[0023] Optionally, the comprehensive evaluation index mathematical model is:

[0024]

[0025] Among them, X max is the comprehensive maximum value of the project, R i is the recovery factor, PI i is the peak yield during the stable production period, NPV i is the net present value.

[0026] In a second aspect, an embodiment of the present invention further provides a well pattern system optimization device for oil and gas field development evaluation, comprising:

[0027] A geological module is used to establish a geological model based on the acquired geological characteristics of the target oil and gas field;

[0028] A fitting module, used to complete history fitting according to the development stage of the target oil and gas field based on the geological model;

[0029] A numerical simulation model module is used to establish a numerical simulation model of a well pattern system available for a target oil and gas field based on the history matching, and obtain numerical simulation models of multiple well pattern systems;

[0030] An evaluation module is used to evaluate the numerical simulation models of multiple well pattern systems and obtain evaluation results;

[0031] A screening module is used to screen numerical simulation models of well pattern systems that meet the conditions based on set conditions and evaluation results;

[0032] The optimization evaluation module is used to evaluate the numerical simulation model of the well network system obtained by screening using the established comprehensive evaluation index mathematical model to obtain the optimal numerical simulation model of the well network system.

[0033] Optionally, completing history matching based on the geological model according to the development stage of the target oil and gas field includes: completing oil testing, test production and / or production history matching according to the development stage of the target oil and gas field.

[0034] The present invention evaluates the numerical simulation model of the well network system obtained by screening through the established comprehensive evaluation index mathematical model, comprehensively evaluates multiple parameters of the oil and gas field and the evaluation calculation is simple, thereby achieving the purpose of reducing the amount of calculation and comprehensive evaluation indicators, and through the comprehensive evaluation index mathematical model for unified and objective evaluation, the purpose of strong objectivity of evaluation is achieved.

[0035] Other features and advantages of the present invention will be described in detail in the following detailed description. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] The above and other objects, features and advantages of the present invention will become more apparent through a more detailed description of exemplary embodiments of the present invention in conjunction with the accompanying drawings, wherein like reference numerals generally represent like components throughout the exemplary embodiments of the present invention.

[0037] Figure 1 A flow chart showing a method for optimizing a well pattern system for oil and gas field development evaluation according to an embodiment of the present invention;

[0038] Figure 2A schematic diagram showing a linear cutting well pattern system according to an embodiment of the present invention;

[0039] Figure 3 A schematic diagram showing a five-point well pattern system according to an embodiment of the present invention;

[0040] Figure 4 A schematic diagram showing an inverted seven-spot well pattern system according to an embodiment of the present invention;

[0041] Figure 5 A schematic diagram showing an inverted nine-spot well pattern system according to an embodiment of the present invention;

[0042] Figure 6 A schematic diagram of well spacing sensitivity analysis (well group model in the form of row-column cutting well pattern) of an embodiment of the present invention is shown;

[0043] Figure 7 A schematic diagram of recovery factor (well group model) under different well pattern forms according to an embodiment of the present invention is shown;

[0044] Figure 8 A schematic diagram of a production profile (entire oil field) at different well spacings using the 7-point method according to an embodiment of the present invention is shown;

[0045] Fig. 9 A schematic diagram of production prediction profiles under different well pattern forms (under the condition of 600m well spacing in the entire oil field) of an embodiment of the present invention is shown;

[0046] Fig.10 A schematic diagram showing the NPV situation (whole oil field) of different well spacing schemes of the 7-point method according to an embodiment of the present invention;

[0047] 1-Generation well; 2-Injection well. DETAILED DESCRIPTION

[0048] The preferred embodiments of the present invention will be described in more detail below. Although the preferred embodiments of the present invention are described below, it should be understood that the present invention can be implemented in various forms and should not be limited to the embodiments set forth herein.

[0049] Embodiment 1:

[0050] like Figure 1 A method for optimizing a well pattern system for oil and gas field development evaluation is shown, comprising:

[0051] Step S101: Establishing a geological model based on the acquired geological characteristics of the target oil and gas field;

[0052] Step S102: completing history matching according to the development stage of the target oil and gas field based on the geological model;

[0053] Step S103: establishing a numerical simulation model of a well pattern system available for a target oil and gas field based on the history matching, and obtaining numerical simulation models of multiple well pattern systems;

[0054] Step S104: Evaluate the numerical simulation models of multiple well pattern systems to obtain evaluation results;

[0055] Step S105: screening numerical simulation models of well pattern systems that meet the conditions based on the set conditions and the evaluation results;

[0056] Step S106: using the established comprehensive evaluation index mathematical model to evaluate the numerical simulation model of the well pattern system obtained by screening, and obtaining the optimal numerical simulation model of the well pattern system.

[0057] Optionally, completing history matching based on the geological model according to the development stage of the target oil and gas field includes: completing oil testing, test production and / or production history matching according to the development stage of the target oil and gas field.

[0058] Optionally, a numerical simulation model of a well pattern system available for a target oil and gas field is established based on the history matching, and multiple numerical simulation models of well pattern systems are obtained.

[0059] The available well network system includes a combination of well types, well spacings, and well network forms.

[0060] Optionally, a numerical simulation model of a well pattern system available for a target oil and gas field is established based on the history matching, and multiple numerical simulation models of well pattern systems are obtained, including:

[0061] Based on the numerical simulation model of the well pattern system, the production and workload indicators of the well pattern system are obtained.

[0062] Optionally, the production index includes production, production during the peak stable production period, cumulative production, recovery factor and / or terminal water content;

[0063] The workload indicators include the number of production wells, the number of injection wells, the number of transfer wells, perforations and measures.

[0064] Optionally, the numerical simulation models of multiple well pattern systems are evaluated to obtain evaluation results, including:

[0065] The production requirements of the target oil and gas field are evaluated based on the region where the target oil and gas field is located and its production.

[0066] Optionally, the comprehensive evaluation index mathematical model is established based on oil and gas field recovery factor, peak production during stable production period and net present value.

[0067] Optionally, the comprehensive evaluation index mathematical model is:

[0068]

[0069] Formula 1

[0070] Among them, X max is the comprehensive maximum value of the project, R i is the recovery factor, PI i is the peak yield during the stable production period, NPV i is the net present value, R max and R min are the maximum sampling rate and the minimum sampling rate, PI max and PI min is the peak yield during the maximum stable production period and the peak yield during the minimum stable production period, NPV max and NPV min is the maximum net present value and the minimum net present value.

[0071] In a specific application scenario,

[0072] Well network optimization method for oil and gas field development evaluation. The method may include: Step 1: determine the geological characteristics of the target oil and gas field and establish a geological model; Step 2: complete the oil test / test production / production history fitting according to the development stage of the target oil and gas field; Step 3: establish a numerical simulation model for the well network system available for the target oil and gas field (different combinations of well types, well spacing, and well network forms) to perform calculations to obtain production indicators (annual production, peak stable production period production, cumulative production, recovery factor, terminal water content, etc.) and workload indicators (number of production wells, number of injection wells, number of transfer wells, perforations and measures, etc.) for different well network systems; Step 4: according to the location of the target oil and gas field and the specific conditions of the contract Step 5: Screen all well network system solutions according to the evaluation company's own requirements for the internal rate of return of the project, and eliminate the well network system solutions that do not meet the requirements; Step 6: Establish a mathematical model for comprehensive evaluation indicators, and bring the peak stable production, recovery rate, and net present value of the well network system solutions that meet the internal rate of return indicator requirements into the mathematical model to calculate the comprehensive evaluation indicators of each solution. The well network system solution with the highest comprehensive evaluation index is the optimal development well network system for the target oil and gas field.

[0073] The well network system optimization method provided in this embodiment takes into account the production indicators and benefit indicators of different well network types based on the static and dynamic models of the target oil and gas field, proposes a mathematical model of quantitative comprehensive evaluation indicators, and realizes the optimization of the well network system for oil and gas field development evaluation under current technical conditions. Taking the U oil field in Russia as an example, through geological modeling, historical matching, design and calculation of different well network systems, the optimization of the well network system for oil field development is completed under the condition that the internal rate of return is greater than 10%.

[0074] Embodiment 2:

[0075] Based on the geological research and dynamic analysis of a certain oil field, a geological model of the entire area was established to complete the reserve assessment and development well dynamic history fitting. The oil field is a thick layer of monolithic sandstone. Well test analysis and trial production analysis show that the vertical well development effect of the oil field is good. The well network system is optimized on this basis, such as Figure 2 and Figure 5 As shown in the figure, four development well pattern systems are set up: straight-line cutting well pattern, five-point well pattern, reverse seven-point well pattern, and reverse nine-point well pattern. A well group model is established to simulate the cumulative production under different well spacings ( Figure 6 ),from Figure 6 It can be seen that after the well spacing is less than 600m, as the well spacing decreases, the recovery rate increases very little. From the perspective of economic benefits, the well spacing should not be less than 600m. A total of five situations of 600m, 900m, 1200m, 1500m, and 1800m were set, and a total of 20 evaluation schemes were obtained in combination with four well network systems. The calculation model obtained the production prediction profile and recovery rate of each scheme. The oil field is a thick-layered monolithic sandstone reservoir with a large-area distribution of oil layers and good connectivity. Through the simulation of the well group model, it can be seen that the development effect of the straight-line cutting well network is better ( Figure 7 ). In the case of the entire oil field, Figure 8 It can be seen that the smaller the well spacing and the more wells there are, the higher the peak production will be. Fig. 9 Under the same well spacing, the seven-point method has more production wells, so the peak production is the highest, followed by the nine-point method. The five-point method and the row-column cutting method have fewer production wells and lower peak production. According to the project contract and local fiscal and taxation contract terms, the investment estimation and economic evaluation are completed. Considering the internal rate of return of 10%, the net present value of each scheme under the base oil price of 60 US dollars per barrel is calculated. By comparing the NPV calculation results, different well spacing schemes under the same well network can be preferred ( Fig.10 The calculation results of each scheme are shown in Table 1.

[0076] Table 1. Calculation results of recovery factor, peak production and net present value of each well pattern system

[0077] Program No. Well pattern system-well spacing (meters) Recovery R(%) Peak output PI (10,000 cubic meters / day) Net present value (million US dollars) 1 5 points - 600 31.49 0.80 21.05 2 5 o'clock - 900 26.40 0.67 18.39 3 5 o'clock - 1200 14.88 0.38 15.96 4 5 o'clock - 1500 11.63 0.29 13.23 5 5 o'clock - 1800 9.88 0.25 8.58 6 7 o'clock - 600 39.56 1.00 22.36 7 7 o'clock - 900 30.26 0.76 19.79 8 7 o'clock - 1200 20.18 0.51 17.80 9 7 o'clock - 1500 12.46 0.31 14.23 10 7:00-18:00 10.92 0.28 12.63 11 9 o'clock - 600 32.44 0.82 16.22 12 9 o'clock - 900 19.78 0.50 11.29 13 9:00-12:00 17.86 0.45 12.23 14 9:00-15:00 12.12 0.31 6.99 15 9am-1800 10.08 0.25 6.24 16 Linear cutting-600 34.82 0.88 20.79 17 Linear cutting-900 23.74 0.60 18.26 18 Linear cutting -1200 16.38 0.41 15.81 19 Linear cutting - 1500 10.24 0.26 13.27 20 Linear cutting - 1800 9.65 0.24 11.05

[0078] According to the calculation formula of comprehensive evaluation index, the recovery factor, peak production in stable production period and net present value of each well network system development plan are substituted into the formula to calculate the comprehensive evaluation index of each plan (Table 2) and select the best well network system.

[0079] Table 2. Calculation results of comprehensive evaluation indexes of each well pattern system

[0080]

[0081]

[0082] Analyzing the calculation results of the comprehensive evaluation indicators of each plan, for the recovery factor indicator, the development effects of Plans 1, 6 and 16 are better, for the production capacity scale indicator, Plans 6 and 16 are better, for the economic indicator net present value, Plans 2, 7 and 8 have better economic benefits. Analysis of the oilfield comprehensive evaluation index plan 7 is the maximum value of the indicator, and it is obtained that for this oilfield, the 7-point method and 900-meter well spacing are the optimal well network development system.

[0083] Embodiment three:

[0084] A well pattern system optimization device for oil and gas field development evaluation, comprising:

[0085] A geological module is used to establish a geological model based on the acquired geological characteristics of the target oil and gas field;

[0086] A fitting module, used to complete history fitting according to the development stage of the target oil and gas field based on the geological model;

[0087] A numerical simulation model module is used to establish a numerical simulation model of a well pattern system available for a target oil and gas field based on the history matching, and obtain numerical simulation models of multiple well pattern systems;

[0088] An evaluation module is used to evaluate the numerical simulation models of multiple well pattern systems and obtain evaluation results;

[0089] A screening module is used to screen numerical simulation models of well pattern systems that meet the conditions based on set conditions and evaluation results;

[0090] The optimization evaluation module is used to evaluate the numerical simulation model of the well network system obtained by screening using the established comprehensive evaluation index mathematical model to obtain the optimal numerical simulation model of the well network system.

[0091] Optionally, completing history matching based on the geological model according to the development stage of the target oil and gas field includes: completing oil testing, test production and / or production history matching according to the development stage of the target oil and gas field.

[0092] The embodiments of the present invention have been described above, and the above description is exemplary, not exhaustive, and is not limited to the disclosed embodiments. Many modifications and changes will be apparent to those skilled in the art without departing from the scope and spirit of the described embodiments.

Claims

1. A method for optimizing a well pattern system for oil and gas field development evaluation, characterized in that: include: Establish a geological model based on the acquired geological characteristics of the target oil and gas field; Performing history matching based on the geological model according to the development stage of the target oil and gas field; Based on the history matching, a numerical simulation model of a well pattern system available for a target oil and gas field is established to obtain a plurality of numerical simulation models of the well pattern system; Evaluate the numerical simulation models of multiple well pattern systems and obtain evaluation results; Screening the numerical simulation model of the well pattern system that meets the conditions based on the set conditions and evaluation results; The established comprehensive evaluation index mathematical model is used to evaluate the numerical simulation model of the well pattern system screened, and the optimal numerical simulation model of the well pattern system is obtained; The comprehensive evaluation index mathematical model is established based on the oil and gas field recovery factor, peak production during the stable production period and net present value; Among them, the comprehensive evaluation index mathematical model is: Among them, Xmax is the comprehensive maximum value of the project, Ri is the recovery factor, PIi is the peak production during the stable production period, and NPVi is the net present value.

2. The method for optimizing a well pattern system for oil and gas field development evaluation according to claim 1, characterized in that: The historical matching is completed based on the geological model according to the development stage of the target oil and gas field, including: completing oil testing, test production and / or production historical matching according to the development stage of the target oil and gas field.

3. The method for optimizing a well pattern system for oil and gas field development evaluation according to claim 1, characterized in that: Based on the history matching, a numerical simulation model of a well pattern system available for a target oil and gas field is established, and a plurality of numerical simulation models of well pattern systems are obtained. The available well pattern system includes a combination of well types, well spacings and well pattern forms.

4. The method for optimizing a well pattern system for oil and gas field development evaluation according to claim 1, characterized in that: Based on the history matching, a numerical simulation model of a well pattern system available for a target oil and gas field is established, and multiple numerical simulation models of well pattern systems are obtained, including: Based on the numerical simulation model of the well pattern system, the production and workload indicators of the well pattern system are obtained.

5. The method for optimizing a well pattern system for oil and gas field development evaluation according to claim 4, characterized in that: The production indicators include production, production during the peak and stable production period, cumulative production, recovery factor and / or water content at the end point; The workload indicators include the number of production wells, the number of injection wells, the number of transfer wells, perforations and measures.

6. The method for optimizing a well pattern system for oil and gas field development evaluation according to claim 4, characterized in that: The numerical simulation models of multiple well pattern systems were evaluated and the evaluation results were obtained, including: The production requirements of the target oil and gas field are evaluated based on the region where the target oil and gas field is located and its production.

7. A well pattern system optimization device for oil and gas field development evaluation, characterized in that: include: A geological module is used to establish a geological model based on the acquired geological characteristics of the target oil and gas field; A fitting module, used to complete history fitting according to the development stage of the target oil and gas field based on the geological model; A numerical simulation model module is used to establish a numerical simulation model of a well pattern system available for a target oil and gas field based on the history matching, and obtain numerical simulation models of multiple well pattern systems; An evaluation module is used to evaluate the numerical simulation models of multiple well pattern systems and obtain evaluation results; A screening module is used to screen numerical simulation models of well pattern systems that meet the conditions based on set conditions and evaluation results; An optimization evaluation module is used to evaluate the numerical simulation model of the well pattern system obtained by screening using the established comprehensive evaluation index mathematical model to obtain the optimal numerical simulation model of the well pattern system; The comprehensive evaluation index mathematical model is established based on the oil and gas field recovery factor, peak production during the stable production period and net present value; Among them, the comprehensive evaluation index mathematical model is: Among them, Xmax is the comprehensive maximum value of the project, Ri is the recovery factor, PIi is the peak production during the stable production period, and NPVi is the net present value.

8. The well pattern system optimization device for oil and gas field development evaluation according to claim 7, characterized in that: The historical matching is completed based on the geological model according to the development stage of the target oil and gas field, including: completing oil testing, test production and / or production historical matching according to the development stage of the target oil and gas field.

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