Unconventional oil reservoir volume fracturing horizontal well yield prediction method and device and storage medium

Abstract

The invention relates to an unconventional oil reservoir volume fractured horizontal well yield prediction method and device and a storage medium. The method comprises the steps that horizontal well parameters of a horizontal well to be predicted are obtained; obtaining the peripheral vertical well yield of the horizontal well to be predicted; constructing a horizontal well after-pressure yield prediction formula of the horizontal well to be predicted; determining an undetermined coefficient of the horizontal well after-pressure yield prediction formula; and calculating the yield of the horizontal well to be predicted. According to the method, the actual mine field data regression analysis method is adopted to calculate the horizontal well yield after volume fracturing, the influence of the oil and gas enrichment degree and the fracturing transformation degree on the yield increasing effect is considered, meanwhile, by introducing the peripheral vertical well yield, the difference of the yield increasing effects of different blocks and different parts is reduced, and the yield increasing efficiency is improved. Practice proves that the calculation method has certain accuracy; the method has high operability and is well applied to exploration and development practice of low-grade oil reservoirs.

Description

Technical Field

[0001] The present application relates to the field of petroleum exploration and development, and in particular to a method, device and storage medium for predicting the production of volumetric fractured horizontal wells in unconventional oil reservoirs. Background Art

[0002] In recent years, low-grade resources in China have gradually become the main body of exploration and development, and unconventional oil and gas production has become an important area for current and future production increases. Oil and gas have fully entered the unconventional era. The continuous advancement of horizontal well volume fracturing technology has led to a leap in the production of tight oil and shale oil reservoirs.

[0003] The prediction of horizontal well production after volume fracturing is an important part of capacity evaluation and an important indicator for the feasibility assessment of economic and effective development of oil reservoirs. Since the tight reservoir contains nano-scale matrix pores and micron-scale natural fractures after volume fracturing, and it is extremely difficult to predict the production of multi-scale coupled flow in millimeter-scale artificial fractures and meter-scale horizontal wellbores, analytical and semi-analytical methods based on physical model assumptions and numerical methods such as grid discretization simulation are usually used to predict the post-fracturing production.

[0004] However, the calculation process of the above methods is very complicated and is limited by the accuracy of parameters, so the prediction accuracy is not ideal. At present, the application of horizontal well volume fracturing technology in the exploration and development of low-grade oil reservoirs is becoming more and more extensive. In the field application practice, there is an urgent need for a simple and relatively accurate horizontal well production prediction method to provide support for production capacity evaluation. Summary of the invention

[0005] In order to solve the above technical problems or at least partially solve the above technical problems, the present application provides a method, device and storage medium for predicting the production of volumetric fracturing horizontal wells in unconventional oil reservoirs.

[0006] In a first aspect, the present application provides a method for predicting the production of horizontal wells in volumetric fracturing of unconventional oil reservoirs, the method comprising the steps of:

[0007] Obtaining horizontal well parameters of the horizontal well to be predicted;

[0008] Obtaining the production of vertical wells surrounding the horizontal well to be predicted;

[0009] Constructing a horizontal well post-pressure production prediction formula for the horizontal well to be predicted;

[0010] Determine the unknown coefficients of the horizontal well post-pressure production prediction formula;

[0011] Obtain the production of the horizontal well to be predicted.

[0012] Preferably, the step of obtaining the horizontal well parameters of the horizontal well to be predicted comprises the following steps:

[0013] Acquiring geological parameters characterizing the oil and gas enrichment degree of the horizontal well to be predicted;

[0014] The engineering parameters characterizing the degree of reservoir transformation of the horizontal well to be predicted are obtained.

[0015] Preferably, the step of obtaining the geological parameters characterizing the oil and gas enrichment degree of the horizontal well to be predicted comprises the following steps:

[0016] Obtaining the formation crude oil viscosity at the level to be predicted;

[0017] Obtaining the reservoir porosity to be predicted;

[0018] Obtaining the reservoir permeability at the level to be predicted;

[0019] Obtaining the oil saturation at the level to be predicted;

[0020] Obtaining the effective thickness within the range of the hydraulic fracture height to be predicted;

[0021] The horizontal segment reconstruction length of the level to be predicted is obtained.

[0022] Preferably, the step of obtaining the geological parameters characterizing the oil and gas enrichment degree of the horizontal well to be predicted comprises the following steps:

[0023] Obtaining the liquid addition intensity of the level to be predicted;

[0024] Obtaining the sand adding intensity of the level to be predicted;

[0025] Obtaining the cluster spacing of the level to be predicted;

[0026] Obtain the construction displacement of the level to be predicted.

[0027] Preferably, the expression of the horizontal well post-pressure production prediction formula is:

[0028] q=q v *α*e β*G*E ;

[0029] Among them, q represents the horizontal well production after fracturing, q v represents the production of surrounding vertical wells, α and β represent unknown coefficients, e represents the natural index, G represents the geological factor, and E represents the engineering factor.

[0030] Preferably, the expression of the geological factor is:

[0031] G=μ oD *φ D *K D *S oD *h D *L D ;

[0032] Where G represents the geological factor, μ oD represents the dimensionless formation crude oil viscosity, φ D represents the dimensionless formation crude oil viscosity, K D represents the dimensionless formation crude oil viscosity, S oD represents the dimensionless formation crude oil viscosity, h D represents the dimensionless effective thickness, L D Represents the dimensionless horizontal segment length.

[0033] Preferably, the expression of the engineering factor is:

[0034] E=Y D *S D *C D *Q L ;

[0035] Among them, E represents the engineering factor, Y D Indicates dimensionless liquid addition strength, S D Indicates the dimensionless sand strength, C D represents the dimensionless cluster spacing, Q L Represents dimensionless construction displacement.

[0036] In a second aspect, a production prediction device for a horizontal well in volume fracturing of an unconventional oil reservoir is provided, comprising:

[0037] A horizontal well parameter acquisition module is used to acquire horizontal well parameters of the horizontal well to be predicted;

[0038] A peripheral vertical well production acquisition module is used to acquire the peripheral vertical well production of the horizontal well to be predicted;

[0039] A prediction formula building module, used to build a horizontal well post-pressure production prediction formula for the horizontal well to be predicted;

[0040] A module for determining undetermined coefficients, used to determine undetermined coefficients of the horizontal well post-pressure production prediction formula;

[0041] The production calculation module is used to calculate the production of the horizontal well to be predicted.

[0042] According to a third aspect, an electronic device is provided, the electronic device comprising:

[0043] at least one processor; and,

[0044] a memory communicatively connected to the at least one processor; wherein,

[0045] The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to execute any of the aforementioned methods for predicting the production of horizontal wells by volume fracturing in unconventional oil reservoirs.

[0046] In a fourth aspect, a non-transitory computer-readable storage medium is provided, which stores computer instructions for causing the computer to execute any of the aforementioned methods for predicting the production of horizontal wells in volume fracturing of unconventional oil reservoirs.

[0047] The above technical solution provided by the embodiment of the present application has the following advantages compared with the prior art:

[0048] The embodiment of the present application provides a method, device and storage medium for predicting the production of horizontal wells in unconventional oil reservoirs by volume fracturing, which adopts the actual mine data regression analysis method to calculate the production of horizontal wells after volume fracturing, and takes into account the influence of oil and gas enrichment degree and fracturing transformation degree on the production increase effect. At the same time, by introducing the production of surrounding vertical wells, the differences in production increase effects in different blocks and different parts are eliminated. Practice has proved that the calculation method has a certain accuracy; at the same time, compared with the commonly used implicit iterative solution method and numerical simulation method, it has the advantages of simple process and easy acquisition of calculation parameters, and has strong operability, and has been well applied in the practice of low-grade oil reservoir exploration and development. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and, together with the description, serve to explain the principles of the invention.

[0050] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0051] Figure 1 It is a flow chart of a method for predicting the production of horizontal wells in volume fracturing of unconventional oil reservoirs provided by an embodiment of the present invention;

[0052] Figure 2 It is a schematic diagram of the structure of a production prediction device for volume fracturing horizontal wells in unconventional oil reservoirs provided by an embodiment of the present invention;

[0053] Figure 3 It is a structural schematic diagram of an electronic device provided by the present invention;

[0054] Figure 4 It is a structural schematic diagram of a non-transitory computer-readable storage medium provided by the present invention;

[0055] Figure 5 It is a regression analysis diagram of sample points in a method for predicting the production of horizontal wells in volume fracturing of unconventional oil reservoirs provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0056] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application.

[0057] Figure 1 A schematic flow chart of a method for predicting the production of horizontal wells in volume fracturing of unconventional oil reservoirs provided in an embodiment of the present application.

[0058] The present application provides a method for predicting the production of volume fractured horizontal wells in unconventional oil reservoirs, the method comprising the steps of:

[0059] S1: Obtain the horizontal well parameters of the horizontal well to be predicted;

[0060] In an embodiment of the present application, the step of obtaining the horizontal well parameters of the horizontal well to be predicted includes the following steps:

[0061] Acquiring geological parameters characterizing the oil and gas enrichment degree of the horizontal well to be predicted;

[0062] The engineering parameters characterizing the degree of reservoir transformation of the horizontal well to be predicted are obtained.

[0063] Specifically, relevant parameters of the target block and regression analog block for predicting the horizontal well production are collected, including geological parameters characterizing the degree of oil and gas enrichment and engineering parameters characterizing the degree of reservoir transformation. The above data are the main parameters affecting the effect of horizontal well production increase, and are also commonly used parameters in mining practice and are relatively easy to obtain.

[0064] In an embodiment of the present application, the step of obtaining the geological parameters characterizing the oil and gas enrichment degree of the horizontal well to be predicted includes the following steps:

[0065] Obtaining the formation crude oil viscosity at the level to be predicted;

[0066] Obtaining the reservoir porosity to be predicted;

[0067] Obtaining the reservoir permeability at the level to be predicted;

[0068] Obtaining the oil saturation at the level to be predicted;

[0069] Obtaining the effective thickness within the range of the hydraulic fracture height to be predicted;

[0070] The horizontal segment reconstruction length of the level to be predicted is obtained.

[0071] Specifically, the geological parameters to be predicted for the oil and gas enrichment of horizontal wells include formation crude oil viscosity μ, reservoir porosity Reservoir permeability K, oil saturation So, effective thickness within the high range of the fracture h, and horizontal section transformation length L.

[0072] In an embodiment of the present application, the step of obtaining the geological parameters characterizing the oil and gas enrichment degree of the horizontal well to be predicted includes the following steps:

[0073] Obtaining the liquid addition intensity of the level to be predicted;

[0074] Obtaining the sand adding intensity of the level to be predicted;

[0075] Obtaining the cluster spacing of the level to be predicted;

[0076] Obtain the construction displacement of the level to be predicted.

[0077] Specifically, the geological parameters to be predicted for the oil and gas enrichment degree of the horizontal well include liquid addition intensity Y, sand addition intensity S, cluster spacing C, and construction displacement Q.

[0078] S2: Obtaining the production of vertical wells around the horizontal well to be predicted;

[0079] Specifically, the daily oil production of the vertical wells surrounding the horizontal well to be predicted in the corresponding period (such as the first month or the first year) is collected. If the number of surrounding vertical wells in production is more than one, a certain weight is assigned according to the representativeness of the production section of each vertical well. The production of each well is weighted averaged as the production of the surrounding vertical wells for horizontal well production prediction.

[0080] S3: constructing a horizontal well post-pressure production prediction formula for the horizontal well to be predicted;

[0081] Specifically, the practice of increasing production through horizontal wells shows that compared with vertical wells, horizontal wells have a larger oil leakage area and a smaller production pressure difference, and their production is significantly increased. The increase in production through horizontal wells in low-grade oil reservoirs is related to the degree of oil and gas enrichment (reservoir porosity). The reservoir permeability K, etc.), volume fracturing transformation degree (fluid addition intensity Y, sand addition intensity S, etc.) are all positively correlated. The regression analysis based on a large amount of actual mine data shows that the correlation coefficient of exponential regression is the highest, which can reach more than 0.8. Therefore, the expression of the horizontal well post-fracture production prediction formula is:

[0082] q=q v *α*e β*G*E ;

[0083] Among them, q represents the horizontal well production after fracturing, q v represents the production of surrounding vertical wells, α and β represent unknown coefficients, e represents the natural index, G represents the geological factor, and E represents the engineering factor.

[0084] In the embodiment of the present application, the expression of the geological factor is:

[0085] G=μ oD *φ D *K D *S oD *h D *L D ;

[0086] Where G represents the geological factor, μ oD represents the dimensionless formation crude oil viscosity, φ D represents the dimensionless formation crude oil viscosity,

[0087] K D represents the dimensionless formation crude oil viscosity, S oD represents the dimensionless formation crude oil viscosity, h D represents the dimensionless effective thickness, L D Represents the dimensionless horizontal segment length.

[0088] In the embodiment of the present application, the expression of the engineering factor is:

[0089] E=Y D *S D *C D *Q L ;

[0090] Among them, E represents the engineering factor, Y D Indicates dimensionless liquid addition strength, S D Indicates the dimensionless sand strength, C D represents the dimensionless cluster spacing, Q L Represents dimensionless construction displacement.

[0091] S4: Determine the undetermined coefficients of the horizontal well post-pressure production prediction formula;

[0092] Specifically, a reference well is selected, and the collected geological parameters (reservoir porosity, The reservoir permeability K, etc.) and the actual fracturing transformation parameters of the well (fluid addition intensity Y, sand addition intensity S, etc.) are divided by the corresponding parameters of the standard well, and the ratio is squared to obtain the dimensionless parameter. Among them, the reservoir permeability varies widely, and the ratio is cubed to obtain the dimensionless parameter. Substitute the obtained dimensionless parameters into formula 2 and formula 3, and the geological factor G and engineering factor E are obtained in turn. The product of the obtained geological factor G and the engineering factor E is used as the horizontal coordinate, and the ratio of the horizontal well production to the surrounding vertical well production is used as the vertical coordinate. After drawing a scatter plot, exponential regression is performed to obtain the values ​​of the unknown coefficients α and β.

[0093] S5: Obtaining the production of the horizontal well to be predicted.

[0094] Specifically, similar to step S4, the geological parameters of the block where the predicted well is located, the engineering parameters in the well fracturing design plan, and the corresponding parameters of the standard well are dimensionlessly calculated, and substituted into formula 1 together with the production of surrounding vertical wells to obtain the predicted value of the horizontal well production after fracturing.

[0095] like Figure 5 The following are examples provided by this application:

[0096] Step 1: Collect the target block and regression analog block fracturing transformation parameters (formation crude oil viscosity μ, reservoir porosity Reservoir permeability K, oil saturation So, effective thickness within the high range of the fracture h, horizontal section transformation length L) and fracturing transformation parameters (fluid addition intensity Y, sand addition intensity S, cluster spacing C, construction displacement Q). Collect and determine the daily oil production of the horizontal wells to be predicted and the vertical wells around the horizontal wells in the regression analogy block in the corresponding period (such as the first month or the first year).

[0097] Step 2: Select a comparison standard well based on the collected regression analogy block geological parameters and fracturing transformation parameters.

[0098] Step 3: Divide the collected geological parameters and actual fracturing parameters by the corresponding parameters of the standard well, and square the ratio to obtain dimensionless parameters. Substitute the obtained dimensionless parameters into equations 2 and 3 to obtain the geological factor G and engineering factor E respectively.

[0099] Step 4: With the product of the obtained geological factor G and the engineering factor E as the horizontal coordinate and the quotient of the horizontal well production and the surrounding vertical well production as the vertical coordinate, a scatter plot is drawn and then an exponential regression is performed to obtain the undetermined coefficients α = 3.5, β = 0.0912;

[0100] Step 5: Calculate the geological parameters of the block where the well to be predicted is located, the engineering parameters in the fracturing design of the well, and the corresponding parameters of the standard well in a dimensionless manner. Substitute the α and β values ​​of the undetermined coefficients obtained by regression analysis into Formula 1 together with the production of surrounding vertical wells to obtain the predicted production value of the horizontal well after fracturing.

[0101] like Figure 2 , provides a production prediction device for horizontal wells in volume fracturing of unconventional oil reservoirs, including:

[0102] A horizontal well parameter acquisition module 10 is used to acquire horizontal well parameters of the horizontal well to be predicted;

[0103] A peripheral vertical well production acquisition module 20 is used to acquire the peripheral vertical well production of the horizontal well to be predicted;

[0104] A prediction formula building module 30, used to build a horizontal well post-pressure production prediction formula for the horizontal well to be predicted;

[0105] The undetermined coefficient determination module 40 is used to determine the undetermined coefficients of the horizontal well post-pressure production prediction formula;

[0106] The production calculation module 50 is used to calculate the production of the horizontal well to be predicted.

[0107] The present application provides a device for predicting the production of volume-fractured horizontal wells in unconventional oil reservoirs, which can execute a method for predicting the production of volume-fractured horizontal wells in unconventional oil reservoirs provided by the above steps.

[0108] It should be understood that the above specific embodiments of the present invention are only used to illustrate or explain the principles of the present invention, and do not constitute a limitation of the present invention. Therefore, any modifications, equivalent substitutions, improvements, etc. made without departing from the spirit and scope of the present invention should be included in the protection scope of the present invention. In addition, the appended claims of the present invention are intended to cover all changes and modifications that fall within the scope and boundaries of the appended claims, or the equivalent forms of such scope and boundaries.

[0109] Reference below Figure 3 , which shows a schematic diagram of the structure of an electronic device 100 suitable for implementing the embodiment of the present disclosure. The electronic device in the embodiment of the present disclosure may include, but is not limited to, mobile terminals such as mobile phones, notebook computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), vehicle terminals (such as vehicle navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. Figure 3 The electronic device shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present disclosure.

[0110] like Figure 3As shown, the electronic device 100 may include a processing device (e.g., a central processing unit, a graphics processing unit, etc.) 101, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 102 or a program loaded from a storage device 108 to a random access memory (RAM) 103. In the RAM 103, various programs and data required for the operation of the electronic device 100 are also stored. The processing device 101, the ROM 102, and the RAM 103 are connected to each other via a bus 104. An input / output (I / O) interface 105 is also connected to the bus 104.

[0111] Typically, the following devices may be connected to the I / O interface 105: an input device 106 including, for example, a touch screen, a touchpad, a keyboard, a mouse, an image sensor, a microphone, an accelerometer, a gyroscope, etc.; an output device 107 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; a storage device 108 including, for example, a magnetic tape, a hard disk, etc.; and a communication device 109. The communication device 109 may allow the electronic device 100 to communicate with other devices wirelessly or by wire to exchange data. Although the electronic device 100 having various devices is shown in the figure, it should be understood that it is not required to implement or have all the devices shown. More or fewer devices may be implemented or have alternatively.

[0112] In particular, according to an embodiment of the present disclosure, the process described above with reference to the flowchart can be implemented as a computer software program. For example, an embodiment of the present disclosure includes a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program contains program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from the network through the communication device 109, or installed from the storage device 108, or installed from the ROM 102. When the computer program is executed by the processing device 101, the above-mentioned functions defined in the method of the embodiment of the present disclosure are executed.

[0113] Reference below Figure 4 , which shows a structural schematic diagram of a computer-readable storage medium suitable for implementing an embodiment of the present disclosure, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, it can implement the method for predicting the production of horizontal wells in unconventional oil reservoirs by volume fracturing as described in any of the above.

[0114] The embodiment of the present application provides a method, device and storage medium for predicting the production of horizontal wells in unconventional oil reservoirs by volume fracturing, which adopts the actual mine data regression analysis method to calculate the production of horizontal wells after volume fracturing, and takes into account the influence of oil and gas enrichment degree and fracturing transformation degree on the production increase effect. At the same time, by introducing the production of surrounding vertical wells, the differences in production increase effects in different blocks and different parts are eliminated. Practice has proved that the calculation method has a certain accuracy; at the same time, compared with the commonly used implicit iterative solution method and numerical simulation method, it has the advantages of simple process and easy acquisition of calculation parameters, and has strong operability, and has been well applied in the practice of low-grade oil reservoir exploration and development.

[0115] It should be noted that, in this article, relational terms such as "first" and "second" are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

[0116] The foregoing is merely a specific embodiment of the present invention, which enables those skilled in the art to understand or implement the present invention. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but rather to the widest scope consistent with the principles and novel features claimed herein.

Claims

1. A method for predicting the production of horizontal wells in unconventional oil reservoirs by volume fracturing, characterized in that: The method comprises the steps of: Obtaining horizontal well parameters of the horizontal well to be predicted; Obtaining the production of vertical wells surrounding the horizontal well to be predicted; Constructing a horizontal well post-pressure production prediction formula for the horizontal well to be predicted; Determine the unknown coefficients of the horizontal well post-pressure production prediction formula; Obtain the production of the horizontal well to be predicted.

2. The method for predicting the production of horizontal wells in unconventional oil reservoirs by volume fracturing according to claim 1, characterized in that: The method of obtaining the horizontal well parameters of the horizontal well to be predicted comprises the steps of: Acquiring geological parameters characterizing the oil and gas enrichment degree of the horizontal well to be predicted; The engineering parameters characterizing the degree of reservoir transformation of the horizontal well to be predicted are obtained.

3. The method for predicting the production of horizontal wells in unconventional oil reservoirs by volume fracturing according to claim 2, characterized in that: The step of obtaining geological parameters characterizing the oil and gas enrichment degree of the horizontal well to be predicted includes the following steps: Obtaining the formation crude oil viscosity at the level to be predicted; Obtaining the reservoir porosity to be predicted; Obtaining the reservoir permeability at the level to be predicted; Obtaining the oil saturation of the level to be predicted; Obtaining the effective thickness within the range of the hydraulic fracture height to be predicted; The horizontal segment reconstruction length of the level to be predicted is obtained.

4. The method for predicting the production of horizontal wells in unconventional oil reservoirs by volume fracturing according to claim 2, characterized in that: The step of obtaining geological parameters characterizing the oil and gas enrichment degree of the horizontal well to be predicted includes the following steps: Obtaining the liquid addition intensity of the level to be predicted; Obtaining the sand adding intensity of the level to be predicted; Obtaining the cluster spacing of the level to be predicted; Obtain the construction displacement of the level to be predicted.

5. The method for predicting the production of horizontal wells in unconventional oil reservoirs by volume fracturing according to claim 1, characterized in that: The expression of the horizontal well production prediction formula after pressure reduction is: q=q v *α*e β*G*E ; Among them, q represents the horizontal well production after fracturing, q v represents the production of surrounding vertical wells, α and β represent unknown coefficients, e represents the natural index, G represents the geological factor, and E represents the engineering factor.

6. The method for predicting the production of horizontal wells in unconventional oil reservoirs by volume fracturing according to claim 5, characterized in that: The expression of the geological factor is: G=μ oD *f D *K D *S oD *h D *L D ; Where G represents the geological factor, μ oD represents the dimensionless formation crude oil viscosity, φ D represents the dimensionless formation crude oil viscosity, K D represents the dimensionless formation crude oil viscosity, S oD represents the dimensionless formation crude oil viscosity, h D represents the dimensionless effective thickness, L D Represents the dimensionless horizontal segment length.

7. The method for predicting the production of horizontal wells in unconventional oil reservoirs by volume fracturing according to claim 5, characterized in that: The expression of the engineering factor is: E=Y D *S D *C D *Q L ; Among them, E represents the engineering factor, Y D Indicates dimensionless liquid addition strength, S D Indicates the dimensionless sand strength, C D represents the dimensionless cluster spacing, Q L Represents dimensionless construction displacement.

8. A production prediction device for horizontal wells in volume fracturing of unconventional oil reservoirs, characterized in that: include: A horizontal well parameter acquisition module is used to acquire horizontal well parameters of the horizontal well to be predicted; A peripheral vertical well production acquisition module is used to acquire the peripheral vertical well production of the horizontal well to be predicted; A prediction formula building module, used to build a horizontal well post-pressure production prediction formula for the horizontal well to be predicted; A module for determining undetermined coefficients, used to determine undetermined coefficients of the horizontal well post-pressure production prediction formula; The production calculation module is used to calculate the production of the horizontal well to be predicted.

9. An electronic device, characterized in that: The electronic device comprises: at least one processor; and, a memory communicatively connected to the at least one processor; wherein, The memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the method for predicting the production of horizontal wells in unconventional oil reservoirs by volume fracturing as described in any of claims 1-7.

10. A non-transitory computer-readable storage medium storing computer instructions for causing the computer to execute the method for predicting the production of horizontal wells in volumetric fracturing of unconventional oil reservoirs as described in any one of claims 1 to 7.

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