Method, device and storage medium for predicting production of horizontal well with volume fracturing in unconventional reservoir

Abstract

The present application relates to a method, device and storage medium for predicting the production of a horizontal well with volume fracturing in an unconventional reservoir. The method includes the steps of: obtaining the horizontal well parameters of the horizontal well to be predicted; obtaining the production of the vertical wells around the horizontal well to be predicted; constructing a prediction formula for the post-fracturing production of the horizontal well to be predicted; determining the undetermined coefficients of the prediction formula for the post-fracturing production of the horizontal well; and calculating the production of the horizontal well to be predicted. The present application uses the regression analysis method of actual field data to calculate the production of the horizontal well after volume fracturing, takes into account the influence of the degree of oil and gas enrichment and the degree of fracturing transformation on the production increase effect, and at the same time, by introducing the production of the surrounding vertical wells, reduces the difference in the production increase effect in different blocks and different parts. Practice has proved that this calculation method has a certain degree of accuracy; it has strong operability and has been well applied in the exploration and development practice of low-grade reservoirs.

Description

Technical Field

[0001] The present application relates to the field of oil exploration and development, and particularly to a method, device and storage medium for predicting the production of a horizontal well with volume fracturing in an unconventional reservoir. Background Art

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

[0003] Predicting the production of a horizontal well after volume fracturing is an important part of production capacity evaluation and an important indicator for evaluating the feasibility of effective economic development of a reservoir. Since the tight reservoir after volume fracturing transformation contains both nano-scale matrix pores and micro-scale natural fractures, it is extremely difficult to predict the production of multi-scale coupled flow of millimeter-scale artificial fractures and meter-scale horizontal wellbores. Usually, analytical and semi-analytical methods based on physical model assumptions and numerical methods based on simulation such as grid discretization are mainly used for predicting the production after fracturing.

[0004] However, the calculation processes of the above methods are all very complex, and restricted by parameter accuracy, their prediction accuracy is not very satisfactory. And currently, the application of horizontal well volume fracturing technology in the exploration and development of low-grade 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 a horizontal well with volume fracturing in an unconventional reservoir.

[0006] In a first aspect, the present application provides a method for predicting the production of a horizontal well with volume fracturing in an unconventional reservoir, the method including the steps of:

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

[0008] Obtain the production of the vertical wells around the horizontal well to be predicted;

[0009] Construct a prediction formula for the production of the horizontal well after fracturing of the horizontal well to be predicted;

[0010] Determine the undetermined coefficients of the prediction formula for the production of the horizontal well after fracturing;

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

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

[0013] Obtain geological parameters characterizing the hydrocarbon enrichment degree of the horizontal well to be predicted;

[0014] Obtain engineering parameters characterizing the reservoir stimulation degree of the horizontal well to be predicted.

[0015] Preferably, the obtaining of the geological parameters characterizing the hydrocarbon enrichment degree of the horizontal well to be predicted includes the steps of:

[0016] Obtain the formation crude oil viscosity of the horizontal well to be predicted;

[0017] Obtain the reservoir porosity of the horizontal well to be predicted;

[0018] Obtain the reservoir permeability of the horizontal well to be predicted;

[0019] Obtain the oil saturation of the horizontal well to be predicted;

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

[0021] Obtain the modified length of the horizontal section of the horizontal well to be predicted.

[0022] Preferably, the obtaining of the engineering parameters characterizing the hydrocarbon enrichment degree of the horizontal well to be predicted includes the steps of:

[0023] Obtain the liquid addition intensity of the horizontal well to be predicted;

[0024] Obtain the proppant addition intensity of the horizontal well to be predicted;

[0025] Obtain the cluster spacing of the horizontal well to be predicted;

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

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

[0028] ;

[0029] Wherein, represents the post-fracture production of the horizontal well, represents the production of the surrounding vertical wells, , represent undetermined coefficients, represents the natural exponent, represents the geological factor, represents the engineering factor.

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

[0031] ;

[0032] Wherein, represents a geological factor represents the dimensionless formation crude oil viscosity represents the dimensionless reservoir porosity represents the dimensionless reservoir permeability represents the dimensionless formation oil saturation represents the dimensionless effective thickness represents the dimensionless horizontal section length

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

[0034] ;

[0035] wherein, represents the engineering factor represents the dimensionless fluid injection intensity represents the dimensionless proppant injection intensity represents the dimensionless cluster spacing represents the dimensionless construction displacement

[0036] In a second aspect, there is provided a device for predicting the production of a horizontally drilled well with volumetric fracturing in an unconventional reservoir, including:

[0037] a horizontal well parameter acquisition module, configured to acquire the horizontal well parameters of the horizontal well to be predicted;

[0038] a surrounding vertical well production acquisition module, configured to acquire the production of the surrounding vertical wells of the horizontal well to be predicted;

[0039] a prediction formula construction module, configured to construct a prediction formula for the post-fracture production of the horizontal well to be predicted;

[0040] an undetermined coefficient determination module, configured to determine the undetermined coefficients of the prediction formula for the post-fracture production of the horizontal well;

[0041] a production calculation module, configured to calculate the production of the horizontal well to be predicted.

[0042] In a third aspect, there is provided an electronic device, the electronic device includes:

[0043] at least one processor; and,

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

[0045] 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 any one of the foregoing methods for predicting the production of a horizontally drilled well with volumetric fracturing in an unconventional reservoir.

[0046] Fourthly, a non-transitory computer-readable storage medium is provided. The non-transitory computer-readable storage medium stores computer instructions for causing the computer to execute any one of the aforementioned unconventional reservoir volume fracturing horizontal well production prediction methods.

[0047] The above technical solutions provided by the embodiments of the present application have the following advantages compared with the prior art:

[0048] An unconventional reservoir volume fracturing horizontal well production prediction method, device and storage medium provided by the embodiments of the present application calculate the production of the horizontal well after volume fracturing by using the actual field data regression analysis method, taking into account the influence of the oil and gas enrichment degree and the fracturing transformation degree on the production increase effect. At the same time, by introducing the production of the surrounding vertical wells, the differences in the production increase effects of different blocks and different parts are eliminated. Practice has proved that this calculation method has a certain degree of 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 exploration and development practice of low-grade reservoirs. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] The accompanying drawings here are incorporated into the specification and constitute a part of this specification, showing embodiments consistent with the present invention and used together with the specification to explain the principles of the present invention.

[0050] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, for those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0051] Figure 1 is a flowchart showing an unconventional reservoir volume fracturing horizontal well production prediction method provided by an embodiment of the present invention;

[0052] Figure 2 is a structural diagram of an unconventional reservoir volume fracturing horizontal well production prediction device provided by an embodiment of the present invention;

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

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

[0055] Figure 5 is a sample point regression analysis diagram in an unconventional reservoir volume fracturing horizontal well production prediction method provided by an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0056] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the following will clearly and completely describe the technical solutions in the embodiments of this application with reference to the accompanying drawings in the embodiments of this application. Apparently, the described embodiments are some, but not all, of the embodiments of this application. All other embodiments obtained by those of ordinary skill in the art based on the embodiments in this application without creative efforts shall fall within the scope of protection of this application.

[0057] Figure 1 It is a schematic flowchart of a method for predicting the production of a horizontal well with volume fracturing in an unconventional reservoir provided by an embodiment of this application.

[0058] This application provides a method for predicting the production of a horizontal well with volume fracturing in an unconventional reservoir. The method includes the steps:

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

[0060] In the embodiments of this application, the obtaining of the horizontal well parameters of the horizontal well to be predicted includes the steps:

[0061] Obtain the geological parameters characterizing the hydrocarbon enrichment degree of the horizontal well to be predicted;

[0062] Obtain the engineering parameters characterizing the reservoir stimulation degree of the horizontal well to be predicted.

[0063] Specifically, collect the relevant parameters of the target block and the regression analogy block of the production of the horizontal well to be predicted, including the geological parameters characterizing the hydrocarbon enrichment degree and the engineering parameters characterizing the reservoir stimulation degree. The above data are the main parameters affecting the production increase effect of the horizontal well and are also common parameters in field practice, which are relatively easy to obtain.

[0064] In the embodiments of this application, the obtaining of the geological parameters characterizing the hydrocarbon enrichment degree of the horizontal well to be predicted includes the steps:

[0065] Obtain the formation crude oil viscosity of the horizontal well to be predicted;

[0066] Obtain the reservoir porosity of the horizontal well to be predicted;

[0067] Obtain the reservoir permeability of the horizontal well to be predicted;

[0068] Obtain the oil saturation of the horizontal well to be predicted;

[0069] Obtain the effective thickness within the fracture height range of the horizontal well to be predicted;

[0070] Obtain the modified length of the horizontal section of the horizontal well to be predicted.

[0071] Specifically, the geological parameters for predicting the oil and gas enrichment degree of the horizontal well to be predicted include formation crude oil viscosity μ, reservoir porosity ∅, reservoir permeability K, oil saturation So, effective thickness h within the height of the fracturing crack, and horizontal section reconstruction length L.

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

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

[0074] Obtaining the sand addition intensity of the horizontal well to be predicted;

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

[0076] Obtaining the construction displacement of the horizontal well to be predicted.

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

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

[0079] Specifically, collect the daily oil production within the corresponding period of the vertical wells around the horizontal well to be predicted (such as the first month or the first year). If the number of put-into-production vertical wells around is more than 1, then assign certain weights according to the representativeness of the production sections of each vertical well, and take the weighted average of the production of each well as the production of the vertical wells around for the production prediction of the horizontal well.

[0080] S3: Constructing a prediction formula for the production of the horizontal well after fracturing of the horizontal well to be predicted;

[0081] Specifically, the practice of increasing the production of horizontal wells shows that, compared with vertical wells, horizontal wells have a larger oil drainage area and a smaller production pressure difference, resulting in a significant increase in production. The production increase amplitude of horizontal wells in low-quality reservoirs is positively correlated with the oil and gas enrichment degree (reservoir porosity ∅, reservoir permeability K, etc.) and the degree of volumetric fracturing reconstruction (liquid addition intensity Y, sand addition intensity S, etc.). Regression analysis using a large amount of actual field data shows that the exponential regression has the highest correlation coefficient, up to more than 0.8. Therefore, the expression of the prediction formula for the production of the horizontal well after fracturing is:

[0082] ;

[0083] Among them, represents the production of the horizontal well after fracturing, represents the production of the vertical wells around, , represent undetermined coefficients, represents the natural exponent, represents the geological factor, Represents the engineering factor.

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

[0085] ;

[0086] Wherein, represents the geological factor, represents the dimensionless formation crude oil viscosity, represents the dimensionless reservoir porosity, represents the dimensionless reservoir permeability, represents the dimensionless formation oil saturation, represents the dimensionless effective thickness, represents the dimensionless horizontal section length.

[0087] In the embodiment of the present application, the expression of the engineering factor is:

[0088] ;

[0089] Wherein, represents the engineering factor, represents the dimensionless liquid addition intensity, represents the dimensionless sand addition intensity, represents the dimensionless cluster spacing, represents the dimensionless construction displacement.

[0090] S4: Determine the undetermined coefficients of the post-fracture production prediction formula for the horizontal well;

[0091] Specifically, preferably select a reference well, divide the geological parameters (such as reservoir porosity ∅, reservoir permeability K, etc.) of the block where the regression analogy wells are located and the actual fracturing parameters (such as liquid addition intensity Y, sand addition intensity S, etc.) of this well by the corresponding parameters of the standard well, and take the square root of the ratio to obtain the dimensionless parameters. Among them, since the change range of reservoir permeability is relatively large, the cube root of the ratio is taken to obtain the dimensionless parameters. Substitute the obtained dimensionless parameters into Equation 2 and Equation 3 in turn to obtain the geological factor G and the engineering factor E. Take the product of the obtained geological factor G and the engineering factor E as the abscissa, and take the ratio of the horizontal well production to the production of the surrounding vertical wells as the ordinate, draw a scatter plot and perform exponential regression to obtain the values of the undetermined coefficients α and β.

[0092] S5: Calculate the production of the horizontal well to be predicted.

[0093] Specifically, similar to step S4, perform dimensionless calculation on the geological parameters of the location where the well to be predicted is located and the engineering parameters in the fracturing design plan of this well with the corresponding parameters of the standard well, and substitute the production of the surrounding vertical wells into Formula 1 to obtain the predicted value of the post-fracture production of the horizontal well.

[0094] As Figure 5 shown in the embodiments provided by the present application:

[0095] Step 1: Collect the fracturing parameters (formation crude oil viscosity μ, reservoir porosity ∅, reservoir permeability K, oil saturation So, effective thickness h within the height range of the fracture, horizontal section transformation length L) and fracturing parameters (liquid addition intensity Y, sand addition intensity S, cluster spacing C, construction displacement Q) of the target block and the regression analog block for predicting the production of the horizontal well. Collect and determine the daily oil production (such as the first month or the first year) of the vertical wells corresponding to the horizontal well to be predicted and the horizontal wells in the regression analog block during the corresponding period.

[0096] Step 2: Select a comparison standard well according to the geological parameters and fracturing parameters of the regression analog block collected.

[0097] Step 3: Divide the collected geological parameters and actual fracturing parameters by the corresponding parameters of the standard well, and take the square root of the ratio to obtain the dimensionless parameters. Substitute the obtained dimensionless parameters into Equation 2 and Equation 3 in turn to obtain the geological factor G and the engineering factor E.

[0098] Step 4: Take the product of the obtained geological factor G and the engineering factor E as the abscissa, and take the quotient of the horizontal well production and the production of the surrounding vertical wells as the ordinate. After plotting a scatter plot, perform exponential regression to obtain the undetermined coefficients α = 3.5 and β = 0.0912;

[0099] Step 5: Perform dimensionless calculation on the geological parameters of the block where the well to be predicted is located and the engineering parameters in the fracturing design plan of the well, and substitute the production of the surrounding vertical wells and the undetermined coefficients α and β values obtained from the regression analysis into Formula 1 to obtain the predicted value of the production of the horizontal well after fracturing.

[0100] As Figure 2 , a device for predicting the production of a horizontal well with volume fracturing in an unconventional reservoir is provided, including:

[0101] A horizontal well parameter acquisition module 10 for acquiring the horizontal well parameters of the horizontal well to be predicted;

[0102] A surrounding vertical well production acquisition module 20 for acquiring the production of the surrounding vertical wells of the horizontal well to be predicted;

[0103] A prediction formula construction module 30 for constructing a prediction formula for the production of the horizontal well after fracturing of the horizontal well to be predicted;

[0104] An undetermined coefficient determination module 40 for determining the undetermined coefficients of the prediction formula for the production of the horizontal well after fracturing;

[0105] A production calculation module 50 for calculating the production of the horizontal well to be predicted.

[0106] The production prediction device for unconventional reservoir volume fracturing horizontal wells provided by this application can execute the production prediction method for unconventional reservoir volume fracturing horizontal wells provided in the above steps.

[0107] It should be understood that the above specific embodiments of the present invention are only used for exemplary illustration or explanation of the principles of the present invention, and do not constitute a limitation to the present invention. Therefore, any modifications, equivalent replacements, improvements, etc. made without departing from the spirit and scope of the present invention shall be included within the protection scope of the present invention. In addition, the appended claims of the present invention are intended to cover all changes and modification examples falling within the scope and boundaries of the appended claims, or equivalent forms of such scope and boundaries.

[0108] Reference is made below to Figure 3 , which shows a schematic structural diagram of an electronic device 100 suitable for implementing the embodiments of the present disclosure. The electronic devices in the embodiments of the present disclosure may include, but are not limited to, mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (Tablet Computers), PMPs (Portable Multimedia Players), in-vehicle terminals (such as in-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 impose any limitations on the functions and usage scope of the embodiments of the present disclosure.

[0109] As Figure 3 shown, the electronic device 100 may include a processing device (such as a central processing unit, a graphics processing unit, etc.) 101, which can perform various appropriate actions and processes according to the programs stored in the read-only memory (ROM) 102 or the programs loaded from the storage device 108 into the 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 through a bus 104. The input / output (I / O) interface 105 is also connected to the bus 104.

[0110] Generally, 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 can allow the electronic device 100 to communicate with other devices wirelessly or wiredly to exchange data. Although the electronic device 100 with various devices is shown in the figure, it should be understood that it is not required to implement or have all the shown devices. More or fewer devices may be alternatively implemented or had.

[0111] In particular, according to an embodiment of the present disclosure, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, an embodiment of the present disclosure includes a computer program product that includes a computer program carried on a computer-readable medium, and the computer program includes program code for performing the methods shown in the flowcharts. 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 functions defined in the methods of the embodiments of the present disclosure are performed.

[0112] The following refers to Figure 4 , which shows a schematic structural diagram of a computer-readable storage medium suitable for implementing an embodiment of the present disclosure. The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, it can implement the unconventional reservoir volume fracturing horizontal well production prediction method described in any of the above.

[0113] The unconventional reservoir volume fracturing horizontal well production prediction method, device and storage medium provided by the embodiments of the present application calculate the production of the horizontal well after volume fracturing by using the actual field data regression analysis method, taking into account the influence of the oil and gas enrichment degree and the fracturing transformation degree on the production increase effect. At the same time, by introducing the production of the surrounding vertical wells, the differences in the production increase effects of different blocks and different parts are eliminated. Practice has confirmed that this calculation method has a certain degree of 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 exploration and development practice of low-grade reservoirs.

[0114] 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 actual relationship or order between these entities or operations. Moreover, the term "comprises", "comprising" or any other variation thereof is intended to cover a non-exclusive inclusion, such that a process, method, article or device comprising a series of elements includes not only those elements, but also other elements not expressly listed, or elements inherent to such process, method, article or device. Without further limitation, an element defined by the phrase "comprising a..." does not exclude the presence of additional identical elements in the process, method, article or device comprising the element.

[0115] The above are only specific embodiments of the present invention, enabling those skilled in the art to understand or implement the present invention. Various modifications to these embodiments will be obvious to those skilled in the art, and the general principles defined herein can 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 these embodiments shown herein, but rather to the broadest scope consistent with the principles and novel features claimed herein.

Claims

1. A production prediction method for horizontal wells with volume fracturing in unconventional reservoirs, characterized in that The method includes the steps of: Obtaining the horizontal well parameters of the horizontal well to be predicted; Obtaining the production of the vertical wells around the horizontal well to be predicted; Constructing a prediction formula for the post-fracture production of the horizontal well to be predicted; Determining the undetermined coefficients of the prediction formula for the post-fracture production of the horizontal well; Calculating the production of the horizontal well to be predicted; The expression of the prediction formula for the post-fracture production of the horizontal well is: ； Among them, represents the production after horizontal well fracturing, represents the production of surrounding vertical wells, , represents the undetermined coefficient, represents the natural exponent, represents the geological factor, represents the engineering factor; The expression of the geological factor is: ； Among them, represents the geological factor, represents the dimensionless formation crude oil viscosity, represents the dimensionless reservoir porosity, represents the dimensionless reservoir permeability, represents the dimensionless formation oil saturation, represents the dimensionless effective thickness, represents the dimensionless horizontal section stimulation length; The expression of the engineering factor is: ； Among them, represents the engineering factor, represents the dimensionless liquid addition intensity, represents the dimensionless sand addition intensity, represents the dimensionless cluster spacing, represents the dimensionless construction displacement.

2. The unconventional reservoir volume fracturing horizontal well production prediction method according to claim 1, characterized in that The obtaining of the horizontal well parameters of the horizontal well to be predicted includes the steps of: Obtaining the geological parameters characterizing the hydrocarbon enrichment degree of the horizontal well to be predicted; Obtaining the engineering parameters characterizing the reservoir stimulation degree of the horizontal well to be predicted.

3. The unconventional reservoir volume fracturing horizontal well production prediction method according to claim 2, wherein The obtaining of the geological parameters characterizing the hydrocarbon enrichment degree of the horizontal well to be predicted includes the steps of: Obtaining the formation crude oil viscosity of the horizontal well to be predicted; Obtaining the reservoir porosity of the horizontal well to be predicted; Obtaining the reservoir permeability of the horizontal well to be predicted; Obtaining the oil saturation of the horizontal well to be predicted; Obtaining the effective thickness within the fracture height range of the horizontal well to be predicted; Obtaining the modified length of the horizontal section of the horizontal well to be predicted.

4. The unconventional reservoir volume fracturing horizontal well production prediction method according to claim 2, wherein The obtaining of the engineering parameters characterizing the hydrocarbon enrichment degree of the horizontal well to be predicted includes the steps of: Obtaining the liquid addition intensity of the horizontal well to be predicted; Obtaining the proppant addition intensity of the horizontal well to be predicted; Obtaining the cluster spacing of the horizontal well to be predicted; Obtaining the construction displacement of the horizontal well to be predicted.

5. An unconventional reservoir volume fracturing horizontal well production prediction device for the method according to any one of claims 1-4, characterized in that, It includes: A horizontal well parameter acquisition module for obtaining the horizontal well parameters of the horizontal well to be predicted; A surrounding vertical well production acquisition module for obtaining the production of the vertical wells around the horizontal well to be predicted; A prediction formula construction module for constructing a prediction formula for the post-fracture production of the horizontal well to be predicted; An undetermined coefficient determination module for determining the undetermined coefficients of the prediction formula for the post-fracture production of the horizontal well; A production calculation module for calculating the production of the horizontal well to be predicted.

6. An electronic device, characterized in that, The electronic device includes: 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 unconventional reservoir volume fracturing horizontal well production prediction method according to any one of the preceding claims 1-4.

7. A non-transitory computer-readable storage medium, which stores computer instructions for causing the computer to execute the unconventional reservoir volume fracturing horizontal well production prediction method according to any one of the preceding claims 1-4.

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