Jurassic oil reservoir sidetrack drilling well selection method and related equipment

Abstract

The invention discloses a Jurassic oil reservoir sidetracking well selection method, which belongs to the technical field of oil-gas field development, and comprises the following steps of: firstly, acquiring dynamic and static data of implemented sidetracking wells and old wells of oil reservoirs to provide comprehensive and accurate data support for evaluating the potential of the sidetracking wells, and then calculating a plurality of parameter coefficients; scientific basis is provided for subsequent determination of the weight and the potential coefficient, influence of human factors can be avoided by determining the influence parameter weight through a mathematical method, quantitative comparison can be performed on sidetrack drilling effects of different well positions through calculation of the potential coefficient, important basis is provided for well drilling decision making, and well drilling efficiency is improved through guidance of the potential coefficient. The well site with the large potential can be preferentially selected for sidetrack drilling, and the oil reservoir development efficiency and economic benefits are improved.

Description

Technical Field

[0001] This invention belongs to the field of oil and gas field development technology, specifically a method for selecting wells for sidetracking in Jurassic reservoirs and related equipment. Background Technology

[0002] Low-permeability reservoirs are accounting for an increasingly larger share of production in major oilfields, playing a crucial role in stabilizing oil production, especially Jurassic reservoirs, which have high single-well yields. Jurassic reservoirs are mainly bottom-water and edge-water reservoirs. Early production reductions were primarily due to irregular well patterns, natural energy, or delayed water injection development, mainly through perforation production and active water stimulation. Reservoirs developed in recent years are mainly diamond-shaped inverted nine-spot reservoirs, with delayed water injection development, employing methods such as deflagration and sand fracturing.

[0003] The low recovery rate of some Jurassic reservoirs is mainly due to the following problems: ① Casing failure has resulted in low production recovery rates after multiple treatments, leading to incomplete well networks and low single-well production. ② Inappropriate early development technologies and policies, such as excessively high fluid production intensity in single wells, resulting in rapid bottom water coning / rapid edge water advancement. ③ Debris in some wellbores prevents normal production, hindering the realization of reservoir potential. To address these problems, sidetracking wells are proposed to tap into remaining oil reserves. Sidetracking wells can effectively utilize existing wellbores and can employ various well types to extract remaining oil.

[0004] Currently, well selection for sidetracking in Jurassic reservoirs mainly relies on methods such as numerical simulation, reservoir dynamic analysis, and reservoir engineer experience. Each method has its own advantages and disadvantages. Numerical simulation can obtain the current distribution map of the remaining oil in the reservoir, but it requires an accurate three-dimensional geological model and reservoir engineer experience. Reservoir dynamic analysis and reservoir engineer experience are greatly affected by human factors, and the well selection workload is relatively large and the well selection efficiency is low. Summary of the Invention

[0005] This invention provides a method and related equipment for selecting wells in Jurassic reservoirs via sidetracking, which solves the problems that dynamic analysis of Jurassic reservoirs and reservoir engineers' experience are greatly affected by human factors, while well selection is labor-intensive and time-consuming.

[0006] To achieve the above objectives, the present invention provides the following technical solution: A method for selecting wells for sidetracking in Jurassic reservoirs, comprising: Obtain dynamic and static data of existing sidetracked wells and old wells in each reservoir; Calculate the well control coefficient, sand body variation coefficient, structural variation coefficient, water cone radius coefficient, and side-drilling well spacing coefficient of old wells based on dynamic and static data; Determine the classification boundary values ​​for the well control coefficient, sand body variation coefficient, structural variation coefficient, water cone radius coefficient, and sidetracking well spacing coefficient of old wells; The influence weight of each coefficient is determined based on the classification threshold value of each coefficient; Calculate the side drilling potential coefficient based on the influence weight of each coefficient; Drilling is guided by the sidehole potential coefficient.

[0007] Preferably, the dynamic and static data include: well spacing of sidetracked wells, single sand body characterization results, well spacing of old wells around the sidetracked wells, water cone radius, sand body thickness, old well structure data, and sidetracked well production data.

[0008] Preferably, the calculation method for the well control coefficient of the old well is as follows: obtain the width of the single sand body based on the single sand body characterization result, then subtract the well spacing of the old well from the width of the single sand body to obtain the calculation result, and then divide the calculation result by the width of the single sand body.

[0009] Preferably, the sand body variation coefficient is calculated as follows: the difference between the sand body thickness of the old side-drilled well and the sand body thickness of the surrounding oil wells is divided by the sand body thickness of the old side-drilled well. The structural variation coefficient is calculated as follows: the difference between the structural value of the sand body in the side-drilled old well and the structural value of the sand body in the surrounding oil well is divided by the structural value of the sand body in the side-drilled old well. The calculation method for the water cone radius coefficient is: the difference between the water cone radius of the old side-drilled well and the well distance of the old side-drilled well divided by the water cone radius of the old side-drilled well; The sidetracking well spacing coefficient is calculated by dividing the difference between the sidetracking well spacing and the water cone radius by the sidetracking well spacing.

[0010] Preferably, the step of determining the influence weight of each coefficient based on the classification threshold value of each coefficient is as follows: determine the weight of each parameter by using the random forest method, grey relational method, and analytic hierarchy process respectively, and then perform an arithmetic average of the weights of each parameter to determine the final weight coefficient of each parameter.

[0011] Preferably, the method for calculating the sidetracking potential coefficient based on the influence weight of each coefficient is as follows:

[0012] In the formula, Potential coefficient, These are the weighting coefficients for each parameter. These are the classification threshold values ​​for each parameter.

[0013] Preferably, drilling is guided by the sidetracking potential coefficient as follows: Potential coefficient Value range 0 to 1, ≥0.7 is Level 1; 0.5≤ <0.7, is level two; <0.5 indicates Level 3, Potential Coefficient The higher the value, the better the side-drilling effect; If the value is below 0.5, side drilling is not recommended.

[0014] A Jurassic reservoir sidetracking well selection system includes: Data acquisition module: used to acquire dynamic and static data of sidetracked wells and old wells in each reservoir; Coefficient calculation module: used to calculate the well control coefficient, sand body variation coefficient, structural variation coefficient, water cone radius coefficient, and sidetracking well spacing coefficient of old wells based on dynamic and static data; Boundary value determination module: Used to determine the classification boundary values ​​for well control coefficient, sand body variation coefficient, structural variation coefficient, water cone radius coefficient, and sidetracking well spacing coefficient of old wells; Weight acquisition module: used to determine the influence weight of each coefficient based on the classification threshold value of each coefficient; Potential coefficient calculation module: used to calculate the side drilling potential coefficient based on the influence weight of each coefficient; Guidance module: Used to guide drilling based on the sidetracking potential coefficient.

[0015] A computer device includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of a sidetracking well selection method for Jurassic reservoirs.

[0016] A computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps of a sidetracking well selection method for Jurassic reservoirs.

[0017] Compared with existing technologies, this invention has the following advantages: This invention proposes a method for selecting wells for sidetracking in Jurassic reservoirs. First, it obtains dynamic and static data of existing sidetracked wells and old wells in each reservoir, providing comprehensive and accurate data support for assessing the potential of sidetracked wells. Then, it calculates multiple parameter coefficients, providing a scientific basis for subsequently determining weights and potential coefficients. The use of mathematical methods to determine the weights of influencing parameters can avoid the influence of human factors. Through the calculation of potential coefficients, the sidetracking effects of different well locations can be quantitatively compared, providing an important basis for drilling decisions. Guided by potential coefficients, well locations with greater potential can be prioritized for sidetracking, improving the efficiency and economic benefits of reservoir development. Attached Figure Description

[0018] Figure 1 This is a flowchart of a sidetracking well selection method for Jurassic reservoirs according to the present invention; Figure 2 This is a flowchart of a sidetracking well selection method for Jurassic reservoirs according to an embodiment of the present invention; Figure 3 This is the sidetracking effect curve for well A in embodiment A of the present invention; Figure 4 This is a block diagram of a sidetracking well selection system for Jurassic reservoirs according to the present invention. Detailed Implementation

[0019] 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, and not all embodiments. The components of the embodiments of the present invention described and shown in the accompanying drawings can generally be arranged and designed in various different configurations.

[0020] Therefore, the following detailed description of the embodiments of the invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely to illustrate selected embodiments of the invention. All other embodiments obtained by those skilled in the art based on the embodiments of the invention without inventive effort are within the scope of protection of the invention.

[0021] It should be noted that similar labels and letters in the following figures indicate similar items. Therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures.

[0022] To enable those skilled in the art to better understand the technical solution of the present invention, the present invention will be further described in detail below with reference to the accompanying drawings.

[0023] like Figure 1 As shown, this invention provides a method for selecting wells for sidetracking in Jurassic reservoirs, comprising: S101 acquires dynamic and static data of existing sidetracked wells and old wells in each reservoir; S102 calculates the well control coefficient, sand body variation coefficient, structural variation coefficient, water cone radius coefficient, and side-drilling well spacing coefficient of old wells based on dynamic and static data; S103 determines the classification boundary values ​​for the well control coefficient, sand body variation coefficient, structural variation coefficient, water cone radius coefficient, and sidetracking well spacing coefficient of old wells; S104 determines the influence weight of each coefficient based on the classification threshold value of each coefficient; S105 calculates the side drilling potential coefficient based on the influence weight of each coefficient; S106 guides drilling based on the sidetracking potential coefficient.

[0024] The dynamic and static data include: well spacing of sidetracked wells, single sand body characterization results, well spacing of old wells around the sidetracked wells, water cone radius, sand body thickness, old well structural data, and production data of sidetracked wells.

[0025] The calculation method for the well control coefficient of old wells is as follows: obtain the width of a single sand body based on the single sand body characterization result, then subtract the well spacing of the old well from the width of the single sand body to obtain the calculation result, and finally divide the calculation result by the width of the single sand body.

[0026] The calculation method for the sand body variation coefficient is: the difference between the thickness of the sand body in the side-drilled old well and the thickness of the sand body in the surrounding oil wells divided by the thickness of the sand body in the side-drilled old well. The structural variation coefficient is calculated as follows: the difference between the structural value of the sand body in the side-drilled old well and the structural value of the sand body in the surrounding oil well is divided by the structural value of the sand body in the side-drilled old well. The calculation method for the water cone radius coefficient is: the difference between the water cone radius of the old side-drilled well and the well distance of the old side-drilled well divided by the water cone radius of the old side-drilled well; The sidetracking well spacing coefficient is calculated by dividing the difference between the sidetracking well spacing and the water cone radius by the sidetracking well spacing.

[0027] The specific steps for determining the influence weight of each coefficient based on the classification threshold value of each coefficient are as follows: determine the weight of each parameter using the random forest method, grey relational analysis method, and analytic hierarchy process respectively, and then perform an arithmetic average of the weights of each parameter to determine the final weight coefficient of each parameter.

[0028] The specific method for calculating the side drilling potential coefficient based on the influence weight of each coefficient is as follows:

[0029] In the formula, Potential coefficient, These are the weighting coefficients for each parameter. These are the classification threshold values ​​for each parameter.

[0030] Drilling is guided by the sidetracking potential coefficient as follows: Potential coefficient Value range 0 to 1, ≥0.7 is Level 1; 0.5≤ <0.7, is level two; <0.5 indicates Level 3, Potential Coefficient The higher the value, the better the side-drilling effect; If the value is below 0.5, side drilling is not recommended.

[0031] The detailed technical solution is as follows: like Figure 2 As shown, another embodiment of the present invention provides a method for optimizing well selection in sidetracking of Jurassic reservoirs, which is carried out according to the following steps: Step 1: Collect dynamic and static data of sidetracked wells and surrounding old wells in each reservoir: well spacing of sidetracked wells (distance between the target coordinates and the target coordinates of the old wells), single sand body characterization results, well spacing of old wells around the sidetracked wells, water cone radius, sand body thickness, old well structural data, and production data of sidetracked wells (daily fluid production, daily oil production, and overall water cut).

[0032] Step 2: Obtain the width of the single sand body based on the single sand body characterization results, and at the same time calculate the well control coefficient of the old well: single sand body width minus the well distance of the old well divided by the single sand body width.

[0033] Step 3: Calculate the sand body variation coefficient: Divide the difference between the sand body thickness of the old side-drilled well and the sand body thickness of the surrounding oil wells by the sand body thickness of the old side-drilled well; Step 4: Calculate the structural variation coefficient: Divide the difference between the structural value of the sand body in the side-drilled old well and the structural value of the sand body in the surrounding oil well by the structural value of the sand body in the side-drilled old well.

[0034] Step 5: Calculate the water cone radius coefficient: Divide the difference between the water cone radius of the old side-drilled well and the well distance of the old side-drilled well by the water cone radius of the old side-drilled well.

[0035] Step 6: Calculate the side-drilling well spacing coefficient: Divide the difference between the side-drilling well spacing and the water cone radius by the side-drilling well spacing.

[0036] Step 7: Determine the classification thresholds for each parameter: Plot the sidetracking well spacing coefficient, old well control coefficient, water cone radius coefficient, sand body variation coefficient, and structural variation coefficient against the daily oil production and water cut of the sidetracking well to determine the classification coefficients for each parameter. Define the sidetracking well spacing coefficient as L, the old well control coefficient as B, the water cone radius coefficient as D, the sand body variation coefficient as S, and the structural variation coefficient as G.

[0037] Step 8: Using the classification threshold values ​​of each parameter obtained in Step 6, the classification threshold values ​​for the sidetracking well spacing coefficient L are as follows: when L < 0.3, the score F1 is 0; 0.3 ≤ L < 0.6, the score F1 is 0.5; when L ≥ 0.6, the score F1 is 0. The classification threshold values ​​for the well control coefficient B of old wells are as follows: when B < 0.3, the score F2 is 0; 0.3 ≤ B < 0.5, the score F2 is 0.5; when B ≥ 0.5, the score F2 is 1. The classification threshold values ​​for the water cone radius coefficient D are as follows: when D < 0.4, the score F3 is 1; 0.4 ≤ D < 0.6, the score F3 is 0.5; when D ≥ 0.6, the score F3 is 0. The classification thresholds for the sand body variation coefficient S are as follows: when S < 0.3, the score F4 is 1; when 0.3 ≤ S < 0.6, the score F4 is 0.5; and when S ≥ 0.6, the score F4 is 0. The classification thresholds for the tectonic variation coefficient G are as follows: when G < 0.4, the score F5 is 1; when 0.4 ≤ G < 0.7, the score F5 is 0.5; and when G ≥ 0.7, the score F5 is 0. The water cone radius coefficient and the tectonic variation coefficient are negative numbers, and their absolute values ​​are used in the calculation.

[0038] Step 9: Determine the weight coefficients of each parameter using a combination of methods, including Random Forest, Grey Relational Analysis, and Analytic Hierarchy Process (AHP). Specifically, determine the weights of each parameter using Random Forest, Grey Relational Analysis, and AHP respectively, then perform an arithmetic average to determine the final weight coefficients Qz1, Qz2, Qz3, Qz4, and Qz5. The weight values ​​are 0.3, 0.15, 0.25, 0.15, and 0.15, respectively.

[0039] Step 10: Define the potential coefficient: The potential coefficient is the sum of the products of the classification coefficients of the above parameters and their respective weights.

[0040]

[0041] The potential coefficient was compared with the daily oil production and overall water cut of the drilled sidetracking wells using a scatter plot to determine its limit value. Potential coefficient Value range 0 to 1, ≥0.7 is Level 1; 0.5≤ <0.7, is level two; <0.5 indicates Level 3, Potential Coefficient The higher the value, the better the side-drilling effect; If the value is below 0.5, side drilling is not recommended.

[0042] Another embodiment of the present invention provides a method for optimizing well selection in sidetracking of Jurassic reservoirs: Select a water-injected oil reservoir A, calculate the target well potential coefficient according to this method, and select the best implementation scheme.

[0043] ① Collect dynamic and static parameters of the reservoir where the target well is located: given range of well spacing for sidetracked wells (80m, 110m, 120m, 130m), single sand body width of 340m, well spacing of old sidetracked wells of 260m, water cone radius of old sidetracked wells of 50m, sand body thickness of old sidetracked wells of 20m (sand body thickness of surrounding oil wells of 18m), and structure of old sidetracked wells of -320m (structure of surrounding oil wells of -340m).

[0044] ② Calculate the values ​​of each parameter: Calculate the well spacing coefficient of the sidetracked wells: Divide the difference between the well spacing of the sidetracked wells and the radius of the water cone by the well spacing of the sidetracked wells. The well spacing of the sidetracked wells is calculated using 70m, 110m, 120m and 130m respectively. (70-50)÷70=0.28, (110-50)÷110=0.54, (120-50)÷120=0.58, (130-50)÷130=0.61.

[0045] Calculate the water cone radius coefficient: Difference between the water cone radius of the surrounding oil wells and the distance between the side-drilled old wells divided by the water cone radius of the surrounding oil wells, (100-260)÷100=1.6.

[0046] Old well control coefficient: single sand body width minus old well spacing divided by single sand body width, (340-260)÷340=0.23.

[0047] Calculate the sand body variation coefficient: Divide the difference between the sand body thickness of the old sidetracked well and the sand body thickness of the surrounding oil wells by the sand body thickness of the old sidetracked well, (20-18)÷20=0.1 Calculate the structural change coefficient: the difference between the structural value of the sand body in the side-drilled old well and the structural value of the sand body in the surrounding oil wells divided by the structural value of the sand body in the side-drilled old well, (320-340)÷320=0.01.

[0048] ③ Determine the classification threshold values ​​for each parameter: when L is 0.28, F1=0; when L is 0.54 or 0.58, F1=0.5; when L is 0.61, F1=0; F2=0; F3=0; F4=1; F5=1.

[0049] ④ Calculate the potential coefficient: =F1*0.3+F2*0.15+F3*0.25+F4*1+F5*1 When F1=0, =0.3 When F1=0.5, =0.45 When F1=1, =0.6 ⑤ Compare with the potential coefficient threshold value, potential coefficient The value ranges from 0 to 1. A J ≥ 0.7 indicates Level 1; 0.5 ≤ J < 0.7 indicates Level 2; and J < 0.5 indicates Level 3. When the well spacing for sidetracking is 130 meters, the potential coefficient is rated as Level 2, and sidetracking is permissible.

[0050] Case study A well was sidetracked and put into production in [Year]. Initially, its daily fluid production was 2.1 m³ / d, daily oil production was 1.8 t / d, and the overall water cut was 13.3%. Currently, its daily fluid production is 2.62 m³ / d, daily oil production is 2.28 t / d, and the overall water cut is 13.0%, with a cumulative oil production of 4046 t. The sidetracking performance is good, further demonstrating that the sidetracking well location selection method is relatively consistent with production realities and can guide the optimal selection of sidetracking well locations in Jurassic reservoirs. The sidetracking performance curve of well A is shown below. Figure 3 As shown.

[0051] like Figure 4 As shown, another embodiment of the present invention provides a sidetracking well selection system for Jurassic reservoirs, comprising: Data acquisition module: used to acquire dynamic and static data of sidetracked wells and old wells in each reservoir; Coefficient calculation module: used to calculate the well control coefficient, sand body variation coefficient, structural variation coefficient, water cone radius coefficient, and sidetracking well spacing coefficient of old wells based on dynamic and static data; Boundary value determination module: Used to determine the classification boundary values ​​for well control coefficient, sand body variation coefficient, structural variation coefficient, water cone radius coefficient, and sidetracking well spacing coefficient of old wells; Weight acquisition module: used to determine the influence weight of each coefficient based on the classification threshold value of each coefficient; Potential coefficient calculation module: used to calculate the side drilling potential coefficient based on the influence weight of each coefficient; Guidance module: Used to guide drilling based on the sidetracking potential coefficient.

[0052] An embodiment of the present invention provides a terminal device. This terminal device includes a processor, a memory, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the steps in the various method embodiments described above. Alternatively, when the processor executes the computer program, it implements the functions of each module / unit in the various device embodiments described above.

[0053] The computer program can be divided into one or more modules / units, which are stored in the memory and executed by the processor to complete the present invention.

[0054] The terminal device may be a desktop computer, laptop, handheld computer, or cloud server, etc. The terminal device may include, but is not limited to, a processor and a memory.

[0055] The processor may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc.

[0056] The memory can be used to store the computer program and / or module. The processor implements various functions of the terminal device by running or executing the computer program and / or module stored in the memory and calling the data stored in the memory.

[0057] If the modules / units integrated into the terminal device are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, all or part of the processes in the methods of the above embodiments can also be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable medium can include: any entity or device capable of carrying the computer program code, recording media, USB flash drives, portable hard drives, magnetic disks, optical disks, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signals, telecommunication signals, and software distribution media, etc. It should be noted that the content included in the computer-readable medium can be appropriately added or removed according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, computer-readable media do not include electrical carrier signals and telecommunication signals.

[0058] Although embodiments of the present invention have been described above in conjunction with the accompanying drawings, the present invention is not limited to the specific embodiments and application fields described above. The specific embodiments described above are merely illustrative and instructive, and not restrictive. Those skilled in the art, guided by the specification, can make many other modifications without departing from the scope of the claims of the present invention, and all of these modifications are within the scope of protection of the present invention.

Claims

1. A method for selecting sidetracking wells in Jurassic reservoirs, characterized in that, include: Obtain dynamic and static data of existing sidetracked wells and old wells in each reservoir; Calculate the well control coefficient, sand body variation coefficient, structural variation coefficient, water cone radius coefficient, and side-drilling well spacing coefficient of old wells based on dynamic and static data; Determine the classification boundary values ​​for the well control coefficient, sand body variation coefficient, structural variation coefficient, water cone radius coefficient, and sidetracking well spacing coefficient of old wells; The influence weight of each coefficient is determined based on the classification threshold value of each coefficient; Calculate the side drilling potential coefficient based on the influence weight of each coefficient; Drilling is guided by the sidehole potential coefficient.

2. The method for selecting sidetracking wells in a Jurassic reservoir according to claim 1, characterized in that, The dynamic and static data include: well spacing of sidetracked wells, single sand body characterization results, well spacing of old wells around the sidetracked wells, water cone radius, sand body thickness, old well structure data, and sidetracked well production data.

3. The method for selecting sidetracking wells in a Jurassic reservoir according to claim 1, characterized in that, The calculation method for the well control coefficient of old wells is as follows: obtain the width of a single sand body based on the single sand body characterization result, then subtract the well spacing of the old well from the width of the single sand body to obtain the calculation result, and finally divide the calculation result by the width of the single sand body.

4. The method for selecting sidetracking wells in Jurassic reservoirs according to claim 1, characterized in that, The calculation method for the sand body variation coefficient is: the difference between the thickness of the sand body in the side-drilled old well and the thickness of the sand body in the surrounding oil wells divided by the thickness of the sand body in the side-drilled old well. The structural variation coefficient is calculated as follows: the difference between the structural value of the sand body in the side-drilled old well and the structural value of the sand body in the surrounding oil well is divided by the structural value of the sand body in the side-drilled old well. The calculation method for the water cone radius coefficient is: the difference between the water cone radius of the old side-drilled well and the well distance of the old side-drilled well divided by the water cone radius of the old side-drilled well; The sidetracking well spacing coefficient is calculated by dividing the difference between the sidetracking well spacing and the water cone radius by the sidetracking well spacing.

5. The method for selecting sidetracking wells in a Jurassic reservoir according to claim 1, characterized in that, The specific steps for determining the influence weight of each coefficient based on the classification threshold value of each coefficient are as follows: determine the weight of each parameter using the random forest method, grey relational analysis method, and analytic hierarchy process respectively, and then perform an arithmetic average of the weights of each parameter to determine the final weight coefficient of each parameter.

6. The method for selecting wells for sidetracking in Jurassic reservoirs according to claim 1, characterized in that, The specific method for calculating the side drilling potential coefficient based on the influence weight of each coefficient is as follows: In the formula, Potential coefficient, These are the weighting coefficients for each parameter. These are the classification threshold values ​​for each parameter.

7. The method for selecting wells for sidetracking in Jurassic reservoirs according to claim 1, characterized in that, Drilling is guided by the sidetracking potential coefficient as follows: Potential coefficient Value range 0 to 1, ≥0.7 is Level 1; 0.5≤ <0.7, is level two; <0.5 indicates Level 3, Potential Coefficient The higher the value, the better the side-drilling effect; If the value is below 0.5, side drilling is not recommended.

8. A sidetracking well selection system for Jurassic reservoirs, characterized in that, include: Data acquisition module: used to acquire dynamic and static data of sidetracked wells and old wells in each reservoir; Coefficient calculation module: used to calculate the well control coefficient, sand body variation coefficient, structural variation coefficient, water cone radius coefficient, and sidetracking well spacing coefficient of old wells based on dynamic and static data; Boundary value determination module: Used to determine the classification boundary values ​​for well control coefficient, sand body variation coefficient, structural variation coefficient, water cone radius coefficient, and sidetracking well spacing coefficient of old wells; Weight acquisition module: used to determine the influence weight of each coefficient based on the classification threshold value of each coefficient; Potential coefficient calculation module: used to calculate the side drilling potential coefficient based on the influence weight of each coefficient; Guidance module: Used to guide drilling based on the sidetracking potential coefficient.

9. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the sidetracking well selection method for Jurassic reservoirs as described in any one of claims 1 to 7.

10. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the steps of the sidetracking well selection method for Jurassic reservoirs as described in any one of claims 1 to 7.

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