Gas well EUR prediction method, device, equipment and medium after shale gas well fracturing

Abstract

The invention is suitable for the technical field of oil-gas exploration, and discloses a gas well EUR prediction method, device, equipment and medium after shale gas well fracturing, and the method comprises the steps: obtaining a single fracturing section fracture network interpretation parameter based on the pressure second point data of a single fracturing section in a shale gas horizontal well which is put into production in a pump stopping stage in a fracturing process; further obtaining the corresponding main fracture volume of the whole well fracturing section; the production data of the shale gas horizontal well which is put into production are obtained, and the EUR of the corresponding shale gas horizontal well is calculated through an empirical formula; establishing an EUR prediction model of the shale gas horizontal well based on the main fracture volume of the whole well fracturing section of the shale gas horizontal well which is put into production and the EUR of the shale gas horizontal well which is put into production; and predicting the fractured shale gas horizontal well by using the shale gas horizontal well EUR prediction model. According to the technical scheme, the volume of the fracture network of the horizontal well fracturing transformation is considered, the gas well productivity can be predicted after the shale gas well is fractured, and rapid and accurate evaluation of the gas well productivity can be achieved.

Description

Technical Field

[0001] This invention relates to the field of oil and gas exploration technology, and in particular to a method, apparatus, equipment and medium for predicting the EUR of a shale gas well after fracturing. Background Technology

[0002] With the deepening of unconventional oil and gas exploration and development, marine shale gas is receiving increasing attention and is gradually emerging as an important natural gas resource. Shale gas reservoirs are artificially modified reservoirs, meaning they require fracturing to achieve block-scale and profitable development. Accurate evaluation of shale gas production capacity is the most direct indicator for assessing the block's development potential and a key indicator for evaluating the internal rate of return and payback period of the investment. Currently, the industry-recognized method for predicting the production capacity of shale horizontal wells with high reliability is the analytical model method after continuous production reaches the boundary flow. However, this method typically requires three months after production commencement for accurate evaluation, resulting in low timeliness, and it does not consider the differences in fracture network volume during fracturing in shale gas horizontal wells.

[0003] Therefore, there is an urgent need for a method that can take into account the volume of the fracture network in horizontal well fracturing and can predict the production capacity of shale gas wells after fracturing is completed, so as to achieve rapid and accurate evaluation of gas well production capacity and thus support timely prediction of shale gas well production capacity. Summary of the Invention

[0004] To address the aforementioned problems, this invention provides a method, apparatus, equipment, and medium for predicting the EUR (Energy Return) of shale gas wells after fracturing. This method considers the volume of the fracture network created by horizontal well fracturing and can predict the gas well's production capacity immediately after fracturing, enabling rapid and accurate evaluation of the gas well's production capacity.

[0005] To achieve the above objectives, the present invention adopts the following technical solution:

[0006] In a first aspect, the present invention provides a method for predicting the EUR (Earnings Equivalent) of a shale gas well after fracturing, comprising:

[0007] Based on the pressure second-point data of a single fractured section in a horizontal shale gas well that has been put into production, during the pump shutdown phase of the fracturing process, the interpretation parameters of the fracture network of the single fractured section are obtained.

[0008] Based on the interpretation parameters of the fracture network in a single fracturing section, the main fracture volume of the fracturing section of a horizontal shale gas well already in production is obtained;

[0009] Obtain production data from operational shale gas horizontal wells and calculate the corresponding EUR for the shale gas horizontal wells using empirical formulas;

[0010] Based on the main fracture volume of the fractured section of the produced shale gas horizontal well and the EUR of the produced shale gas horizontal well, a EUR prediction model for shale gas horizontal wells is established by fitting regression method.

[0011] The EUR prediction model for shale gas horizontal wells was used to predict the results of fracturing shale gas horizontal wells.

[0012] Furthermore, based on the pressure second-point data of a single fractured section in a commercially operational shale gas horizontal well during the pump shutdown phase of the fracturing process, interpretation parameters of the fracture network in the single fractured section were obtained, including:

[0013] Acquire pressure data per second during the pump shutdown phase of a single fracturing section in a horizontal shale gas well that has been put into production;

[0014] Plot the double logarithmic and derivative curves of pressure based on the pressure second-point data;

[0015] Based on the double logarithmic and derivative curves of pressure, the interpretation parameters of the fracture network in a single fracturing section are obtained through well test interpretation.

[0016] Furthermore, based on the fracture network interpretation parameters of a single fracturing section, the main fracture volume of the fracturing section in a commercially operational shale gas horizontal well is obtained, including:

[0017] Calculate the main fracture volume of a single fracturing segment based on the interpretation parameters of the fracture network in the single fracturing segment.

[0018] The main fracture volume of the entire fracturing section of a production shale gas horizontal well is obtained by summing the volumes of the main fractures in all single-fractured sections.

[0019] Furthermore, the EUR prediction model for shale gas horizontal wells satisfies:

[0020] EUR i =a*FV i +b

[0021] In the formula, EUR i FV represents the gas well production capacity of a certain production well. i Let be the volume of the main fracture in the entire horizontal well section; a and b are the coefficients of the prediction model.

[0022] Secondly, the present invention also provides a shale gas well EUR prediction device after fracturing, comprising:

[0023] The interpretation module is used to obtain interpretation parameters of the fracture network of a single fractured section based on the pressure second-point data of a single fractured section in a horizontal shale gas well that has been put into production during the pump shutdown phase of the fracturing process.

[0024] The calculation module is used to obtain the main fracture volume of the entire fracturing section of a commercially operational shale gas horizontal well based on the interpretation parameters of the fracture network in a single fracturing section.

[0025] The calculation module is also used to obtain production data of shale gas horizontal wells that have been put into production, and to calculate the corresponding EUR of shale gas horizontal wells through empirical formulas;

[0026] A module was established to create a ballast prediction model for shale gas horizontal wells based on the main fracture volume of the fractured section of the entire well and the EUR of the wells. This model was developed using a fitting regression method.

[0027] The prediction module is used to predict the results of fracturing shale gas horizontal wells using the EUR prediction model for shale gas horizontal wells.

[0028] Furthermore, the interpretation module is also used for:

[0029] Acquire pressure data per second during the pump shutdown phase of a single fracturing section in a horizontal shale gas well that has been put into production;

[0030] Plot the double logarithmic and derivative curves of pressure based on the pressure second-point data;

[0031] Based on the double logarithmic and derivative curves of pressure, the interpretation parameters of the fracture network in a single fracturing section are obtained through well test interpretation.

[0032] Furthermore, the calculation module is also used for:

[0033] Calculate the main fracture volume of a single fracturing segment based on the interpretation parameters of the fracture network in the single fracturing segment.

[0034] The main fracture volume of the entire fracturing section of a production shale gas horizontal well is obtained by summing the volumes of the main fractures in all single-fractured sections.

[0035] Furthermore, the EUR prediction model for shale gas horizontal wells satisfies:

[0036] EUR i =a*FV i +b

[0037] In the formula, EUR i FV represents the gas well production capacity of a certain production well. i Let be the volume of the main fracture in the entire horizontal well section; a and b are the coefficients of the prediction model.

[0038] Thirdly, the present invention also provides an electronic device, comprising: a processor and a memory;

[0039] The processor is coupled with the memory;

[0040] The processor is used to read and execute programs or instructions stored in the memory, causing the device to perform the method as described in the first aspect.

[0041] Fourthly, the present invention also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the method as described in the first aspect.

[0042] The technical solution provided by this invention has at least the following technical effects or advantages:

[0043] The technical solution of this invention interprets the pump-stopping depressurization test of a production shale gas horizontal well in the study area during fracturing to obtain the main fracture volume of a single fracturing section, and then obtains the main fracture volume of the entire well fracturing section. Based on the main fracture volume of the entire well fracturing section and the EUR data of the gas well, regression fitting is performed to obtain a shale gas horizontal well EUR prediction model. This prediction model is then used to predict the EUR of shale gas horizontal wells that have completed full-section fracturing within the study area. This technical solution considers the fracture network volume of the horizontal well fracturing and can predict the gas well production capacity immediately after fracturing, enabling rapid and accurate evaluation of gas well production capacity, thereby supporting timely prediction of shale gas well production capacity.

[0044] Other features and advantages of the invention will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention may be realized and obtained by means of the structures pointed out in the description, claims and drawings. Attached Figure Description

[0045] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0046] Figure 1 This is a schematic flowchart of a method for predicting the EUR (Earnings Regulator) of a shale gas well after fracturing, as described in an embodiment of the present invention.

[0047] Figure 2 This is a further flowchart illustrating the process of establishing a EUR prediction model for shale gas horizontal wells in an embodiment of the present invention;

[0048] Figure 3 This is a schematic diagram illustrating the fitting effect of the EUR prediction model for shale gas horizontal wells in an embodiment of the present invention;

[0049] Figure 4 This is a schematic diagram of the structure of a shale gas well EUR prediction device after fracturing in an embodiment of the present invention;

[0050] Figure 5 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present invention. Detailed Implementation

[0051] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0052] The development practice of shale gas horizontal wells in the study area shows that geological conditions have a significant controlling effect on the implementation of fracturing and the production capacity of shale gas horizontal wells. In areas with thick reservoirs and predominantly network-like natural fractures, fracturing can more fully create artificial fracture networks, making it easier for gas wells to achieve high production. The technical solution of this invention is applicable to the prediction of EUR (Ultimate Recoverable Reserves) of shale gas horizontal wells under similar geological conditions in the study area. Shale gas horizontal wells include target shale gas horizontal wells and shale gas horizontal wells already in production. Target shale gas horizontal wells refer to shale gas horizontal wells that have completed fracturing throughout their entire section; shale gas horizontal wells already in production refer to shale gas horizontal wells in the study area under similar geological conditions that have continuously generated gas for more than 3 months.

[0053] Figure 1 This is a schematic flowchart of a method for predicting the EUR (Earnings Regulator) of a shale gas well after fracturing, according to an embodiment of the present invention. Figure 2 This is a further flowchart illustrating the process of establishing a EUR prediction model for shale gas horizontal wells in an embodiment of the present invention.

[0054] The following is combined Figure 1 , 2 Further explanation of the technical solutions in the embodiments of the present invention:

[0055] A method for predicting the EUR (Earnings Requirement) of a shale gas well after fracturing includes:

[0056] S101. Based on the pressure second-point data of a single fractured section in a horizontal shale gas well that has been put into production, during the pump shutdown stage of the fracturing process, the interpretation parameters of the fracture network of the single fractured section are obtained.

[0057] Obtain pressure data per second during the pump shutdown phase of a single fracturing section in a production shale gas horizontal well; plot double logarithmic and derivative curves of pressure based on the pressure data; and obtain interpretation parameters of the fracture network in the single fracturing section through well test interpretation based on the double logarithmic and derivative curves of pressure.

[0058] The parameters for interpreting the fracture network of a single fracturing segment include fracture length, fracture height, and fracture width.

[0059] The length of a pressure fracture is represented by the symbol L, the height of a pressure fracture by H, and the width of a pressure fracture by W.

[0060] In the fracturing process of a single-fractured section in a commercially operational shale gas horizontal well, typically only one main fracture is formed, with numerous secondary fractures generated around it. The main fracture has the largest fracture length, height, and width among all fractures. The fracture network interpretation parameters for a single-fractured section in this invention refer to the fracture parameters corresponding to the main fracture of the single-fractured section.

[0061] Taking Block A of the study area as an example, the L1 horizontal shale gas well, which has been put into production in Block A, has a total of 31 fracturing sections. Among them, the fracture network interpretation parameters corresponding to the 10th fracturing section are: fracture length 239.10m, fracture width 1.99×10 -3 m, pressure crack height 28.72m.

[0062] S102. Based on the interpretation parameters of the fracture network in a single fracturing section, the main fracture volume of the fracturing section of the entire well in a shale gas horizontal well that has been put into production is obtained;

[0063] Based on the fracture network interpretation parameters of a single fracturing segment, the main fracture volume of that segment is calculated. The main fracture volume of a single fracturing segment is the product of the fracture length (L), fracture height (H), and fracture width (W), calculated using the following formula:

[0064] FV i =L i *W i *H i (1)

[0065] In the formula, FV i The volume of the main fracture in the i-th fracturing stage of a horizontal well is expressed in m³. 3 L i H represents the length of a single fracture in the i-th fractured section of a horizontal well. i W represents the width of a single fracture in the i-th fractured section of a horizontal well, in meters. i The width of a single fracture in the i-th fractured section of a horizontal well, in units of 10. -3 m.

[0066] Taking Block A of the study area as an example, the L1 horizontal shale gas well, which has been put into production in Block A, has a total of 31 fracturing sections. Among them, the fracture network interpretation parameters corresponding to the 10th fracturing section are: fracture length 239.10m, fracture width 1.99×10 -3 The crack height is 28.72m. The product of these three values ​​is 13.67m. 3 That is, the volume of the main fracture in the 10th stage of the L1 well (FV) 10 ).

[0067] Based on the main fracture volume of a single fracturing section, the main fracture volume of the entire fracturing section of a commercially operational shale gas horizontal well is obtained. The main fracture volume of the entire fracturing section is calculated by adding the main fracture volumes of all single fracturing sections in the horizontal well, using the following formula:

[0068]

[0069] In the formula, FV represents the volume of the main fracture in the entire horizontal well section, expressed in m³. 3 ;

[0070] FV1, FV2, FV3, ..., FV n This refers to the volume of the main fracture in each segment of a horizontal well, expressed in cubic meters (m³). 3 .

[0071] Shale gas development practices show that the number of fracturing stages in horizontal wells of marine shale gas in southern Sichuan is typically less than 40. Taking Block A of the study area as an example, the L1 horizontal well, which has been put into production in Block A, has a total of 31 fracturing stages. By summing the main fracture volumes of the 31 individual fracturing stages, the total main fracture volume (FV) of the L1 well's fracturing stages is obtained as 317.37 m³. 3 As shown in Table 1.

[0072] Table 1

[0073]

[0074] S103. Obtain production data of operational shale gas horizontal wells and calculate the corresponding EUR of shale gas horizontal wells using empirical formulas.

[0075] By acquiring production data such as daily gas production and wellhead pressure of operational shale gas horizontal wells, as well as dynamic monitoring data of bottom hole flowing pressure, and using numerical simulation software and empirical formulas such as Arps and Duong, the EUR of operational shale gas horizontal wells can be obtained.

[0076] Taking Block A of the study area as an example, the production EUR of the L1 horizontal shale gas well in Block A was calculated to be 126 million cubic meters based on the dynamic monitoring data of the bottom hole flowing pressure and numerical simulation software.

[0077] S104. Based on the main fracture volume of the fractured section of the entire well of the already produced shale gas horizontal well and the EUR of the already produced shale gas horizontal well, a EUR prediction model for shale gas horizontal wells is established by fitting regression method.

[0078] The EUR prediction model for shale gas horizontal wells can be expressed as:

[0079] EUR i =a*FV i +b (3)

[0080] In the formula, EUR i The gas well production capacity calculated for a specific producing well, in units of 10. 8 m 3 FV i The volume of the main fracture in the entire fracturing section of a horizontal well is expressed in cubic meters (m³). 3 a and b are the coefficients of the EUR prediction model for gas wells, which are constants determined by the data fitting results.

[0081] Taking Block A of the study area as an example, the overall reservoir conditions in Block A are excellent. Numerical simulations predict that the EUR distribution of the eight operational shale gas horizontal wells in Block A is between (1.15 and 1.65) × 10⁻⁶. 8 m 3 (Table 2). By fitting and regressing the main fracture volume of the fractured section of the operational shale gas horizontal wells with the EUR data of the operational shale gas horizontal wells, a EUR prediction model for shale horizontal wells in Block A was finally established. The specific formula is: EUR i =0.0002*FV i +0.7961, correlation coefficient R 2 =0.8863 (e.g.) Figure 3 (As shown).

[0082] Table 2

[0083] hashtag Number of fracturing stages (m) <![CDATA[Total fracture main seam volume in the entire well section (m 3 )]]> <![CDATA[EUR(10 8 m 3 )]]> L1 well 31 317.37 1.26 L2 well 22 253.63 1.20 L3 well 23 228.95 1.15 L4 well 31 495.59 1.65 L5 well 25 378.40 1.48 L6 well 26 322.80 1.43 L7 well 20 185.88 1.17 L8 well 24 329.82 1.45

[0084] S105. Using the EUR prediction model for shale gas horizontal wells, predictions were made for shale gas horizontal wells that had undergone fracturing, and the prediction results were obtained.

[0085] For the fracturing of the shale gas horizontal well, i.e. the target shale gas horizontal well, the main fracture volume of the fracturing section of the target shale gas horizontal well is obtained according to the above steps. The EUR prediction model of the shale gas horizontal well is used to predict the EUR of the target shale gas horizontal well, which can quickly and accurately obtain the EUR result.

[0086] Taking Block A of the study area as an example, after the fracturing of the entire well section of the shale gas horizontal well in Block A is completed, the EUR of the gas well is predicted according to the shale horizontal well EUR prediction model established above, and the prediction results are obtained.

[0087] The technical solutions in the embodiments of the present invention have at least the following technical effects or advantages:

[0088] The technical solution of this invention obtains the main fracture volume of a single fracturing section by interpreting the pump shutdown and depressurization well test during the fracturing process of a shale gas horizontal well already in production in the study area, and then obtains the main fracture volume of the entire well fracturing section. Based on the main fracture volume of the entire well fracturing section and the EUR data of the gas well, regression fitting is performed to obtain the EUR prediction model of the shale gas horizontal well. Using this prediction model, the EUR of the shale gas horizontal wells that have completed full-section fracturing in the study area can be predicted quickly and accurately.

[0089] Figure 4 This is a schematic diagram of a shale gas well EUR prediction device after fracturing, provided in an embodiment of the present invention. As shown in the figure, the system includes:

[0090] The interpretation module is used to obtain interpretation parameters of the fracture network of a single fractured section based on the pressure second-point data of a single fractured section in a horizontal shale gas well that has been put into production during the pump shutdown phase of the fracturing process.

[0091] The calculation module is used to obtain the main fracture volume of the entire fracturing section of a commercially operational shale gas horizontal well based on the interpretation parameters of the fracture network in a single fracturing section.

[0092] The calculation module is also used to obtain production data of shale gas horizontal wells that have been put into production, and to calculate the corresponding EUR of shale gas horizontal wells through empirical formulas;

[0093] A module was established to create a ballast prediction model for shale gas horizontal wells based on the main fracture volume of the fractured section of the entire well and the EUR of the wells. This model was developed using a fitting regression method.

[0094] The prediction module is used to predict the results of fracturing shale gas horizontal wells using the EUR prediction model for shale gas horizontal wells.

[0095] It should be noted that, for ease of explanation, Figure 4 As an example, only the main modules of the EUR prediction device structure after shale gas well fracturing are shown. In practical applications, the system may also include modules or components not shown in the figure; the system is not limited to the above-described module structure, and may also be other module structures that implement the above method embodiments.

[0096] Figure 5 The present invention provides a schematic diagram of the structure of an electronic device, as shown in the figure. The electronic device includes a processor and a memory.

[0097] The processor is used to read and execute programs and instructions stored in the memory, causing the electronic device to perform the above-described method embodiments.

[0098] It should be noted that, for ease of explanation, Figure 5For illustrative purposes only, the main components of the electronic device are shown. In practical applications, the electronic device may also include components or parts not shown in the figures.

[0099] The present invention also provides a computer-readable storage medium storing a program or instructions, which, when read and executed by a computer, causes the computer to perform the above-described method embodiments.

[0100] Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for predicting the EUR (Earnings Regulator) of a shale gas well after fracturing, characterized in that, include: Based on the pressure second-point data of a single fractured section in a horizontal shale gas well that has been put into production, during the pump shutdown phase of the fracturing process, the interpretation parameters of the fracture network of the single fractured section are obtained. Based on the interpretation parameters of the fracture network in a single fracturing section, the main fracture volume of the fracturing section of a horizontal shale gas well already in production is obtained; Obtain production data from operational shale gas horizontal wells and calculate the corresponding EUR for the shale gas horizontal wells using empirical formulas; Based on the main fracture volume of the fractured section of the produced shale gas horizontal well and the EUR of the produced shale gas horizontal well, a EUR prediction model for shale gas horizontal wells is established by fitting regression method. The EUR prediction model for shale gas horizontal wells was used to predict the results of fracturing shale gas horizontal wells.

2. The method for predicting the EUR (Earnings Regulator) of a shale gas well after fracturing according to claim 1, characterized in that, The pressure data (in seconds) of a single fractured section in a commercially operational shale gas horizontal well during the pump shutdown phase are used to obtain the fracture network interpretation parameters for that section, including: Acquire pressure data per second during the pump shutdown phase of a single fracturing section in a horizontal shale gas well that has been put into production; Plot the double logarithmic and derivative curves of pressure based on the pressure second-point data; Based on the double logarithmic and derivative curves of pressure, the interpretation parameters of the fracture network in a single fracturing section are obtained through well test interpretation.

3. The method for predicting EUR (Earnings Variable Interest Regime) of shale gas wells after fracturing according to claim 1, characterized in that, The main fracture volume of the entire fracturing section of a commercially viable shale gas horizontal well is obtained based on the interpretation parameters of the fracture network in a single fracturing section, including: Calculate the main fracture volume of a single fracturing segment based on the interpretation parameters of the fracture network in the single fracturing segment. The main fracture volume of the entire fracturing section of a production shale gas horizontal well is obtained by summing the volumes of the main fractures in all single-fractured sections.

4. The method for predicting the EUR (Earnings Regulator) of a shale gas well after fracturing according to any one of claims 1-3, characterized in that, The EUR prediction model for shale gas horizontal wells satisfies: EUR i *a*FV i +b In the formula, EUR i FV represents the gas well production capacity of a certain production well. i Let be the volume of the main fracture in the entire horizontal well section; a and b are the coefficients of the prediction model.

5. A shale gas well EUR prediction device after fracturing, characterized in that, include: The interpretation module is used to obtain interpretation parameters of the fracture network of a single fractured section based on the pressure second-point data of a single fractured section in a horizontal shale gas well that has been put into production during the pump shutdown phase of the fracturing process. The calculation module is used to obtain the main fracture volume of the entire fracturing section of a commercially operational shale gas horizontal well based on the interpretation parameters of the fracture network in a single fracturing section. The calculation module is also used to obtain production data of shale gas horizontal wells that have been put into production, and to calculate the corresponding EUR of shale gas horizontal wells through empirical formulas; A module was established to create a ballast prediction model for shale gas horizontal wells based on the main fracture volume of the fractured section of the entire well and the EUR of the wells. This model was developed using a fitting regression method. The prediction module is used to predict the results of fracturing shale gas horizontal wells using the EUR prediction model for shale gas horizontal wells.

6. The EUR prediction device for shale gas wells after fracturing according to claim 5, characterized in that, The explanation module is also used for: Acquire pressure data per second during the pump shutdown phase of a single fracturing section in a horizontal shale gas well that has been put into production; Plot the double logarithmic and derivative curves of pressure based on the pressure second-point data; Based on the double logarithmic and derivative curves of pressure, the interpretation parameters of the fracture network in a single fracturing section are obtained through well test interpretation.

7. The EUR prediction device for shale gas wells after fracturing according to claim 5, characterized in that, The computing module is also used for: Calculate the main fracture volume of a single fracturing segment based on the interpretation parameters of the fracture network in the single fracturing segment. The main fracture volume of the entire fracturing section of a production shale gas horizontal well is obtained by summing the volumes of the main fractures in all single-fractured sections.

8. The EUR prediction device for shale gas wells after fracturing according to any one of claims 5-7, characterized in that, The EUR prediction model for shale gas horizontal wells satisfies: EUR i *a*FV i +b In the formula, EUR i FV represents the gas well production capacity of a certain production well. i Let be the volume of the main fracture in the entire horizontal well section; a and b are the coefficients of the prediction model.

9. An electronic device, characterized in that, include: Processor and memory; The processor is coupled to the memory; The processor is configured to read and execute the program or instructions stored in the memory, causing the device to perform the method as described in any one of claims 1-4.

10. A computer-readable storage medium, characterized in that, The device contains a computer program that, when executed by a processor, implements the method as described in any one of claims 1-4.

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