Shale gas fractured horizontal well productivity analysis method, device, equipment and medium

Abstract

The invention discloses a shale gas fractured horizontal well productivity analysis method, device and equipment and a medium. The method is characterized by comprising the following steps: acquiring reservoir physical parameters and horizontal well parameters of a target shale gas reservoir; establishing a shale gas fractured horizontal well productivity zoning model according to the reservoir physical parameters and the horizontal well parameters through a basic seepage equation; determining a productivity model typical curve according to the shale gas fractured horizontal well productivity zoning model; and analyzing the productivity of the target shale gas reservoir according to the typical curve of the productivity model to obtain productivity influencing parameters. The method realizes clear calculation of the productivity, simplifies the process of analyzing the productivity of the shale gas fractured horizontal well, and provides theoretical and technical support for effective development of shale reservoirs.

Description

Technical Field

[0001] The present invention relates to the field of shale gas exploitation, and in particular to a shale gas fracturing horizontal well productivity analysis method, device, equipment and medium. Background Art

[0002] Shale gas refers to natural gas of biological origin, pyrolysis origin and mixed origin with certain commercial value stored and preserved in organic-rich, mature dark mud shale or high-carbon mud shale due to organic adsorption or cracks and matrix pores in the rock. Shale gas is mainly stored in reservoir rock systems dominated by organic-rich shales, and exists in natural cracks and pores in a free state. The exploitation of shale gas is mainly through horizontal well hydraulic fracturing technology. By drilling shale gas fracturing horizontal wells into shale gas reservoirs, after drilling vertical wells, drilling a certain distance in the horizontal direction, using large-scale hydraulic fracturing technology to create pressure, release shale gas, and then extract shale gas from the vertical wells. In the exploitation process, the capacity analysis of shale gas fracturing horizontal wells helps to target exploitation and improve exploitation efficiency. In the existing technology, it is usually analyzed through models, but because the model analysis is usually separated from the actual situation of the well, it cannot be accurately predicted and analyzed. Summary of the invention

[0003] The present invention provides a shale gas fracturing horizontal well productivity analysis method, device, equipment and medium to achieve accurate and efficient analysis of the shale gas fracturing horizontal well productivity.

[0004] According to one aspect of the present invention, a method for analyzing the productivity of a shale gas fractured horizontal well is provided, comprising:

[0005] Obtain reservoir physical parameters and horizontal well parameters of target shale gas reservoirs;

[0006] Establishing a shale gas fracturing horizontal well productivity zoning model according to the reservoir physical parameters and the horizontal well parameters through a basic seepage equation;

[0007] Determine a typical curve of a productivity model according to the productivity zoning model of shale gas fracturing horizontal wells;

[0008] The productivity of the target shale gas reservoir is analyzed according to the typical curve of the productivity model to obtain parameters affecting the productivity.

[0009] According to another aspect of the present invention, a shale gas fracturing horizontal well productivity analysis device is provided, comprising:

[0010] A data acquisition module, used to obtain reservoir physical parameters and horizontal well parameters of the target shale gas reservoir;

[0011] A model building module, used to establish a shale gas fracturing horizontal well productivity zoning model according to the reservoir physical parameters and the horizontal well parameters through a basic seepage equation;

[0012] A model analysis module, used to determine a typical curve of a productivity model according to the productivity zoning model of shale gas fracturing horizontal wells;

[0013] The capacity analysis module is used to analyze the capacity of the target shale gas reservoir according to the typical curve of the capacity model to obtain parameters affecting the capacity.

[0014] According to another aspect of the present invention, an electronic device is provided, the electronic device comprising:

[0015] at least one processor; and

[0016] a memory communicatively connected to the at least one processor; wherein,

[0017] The memory stores a computer program that can be executed by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the shale gas fracturing horizontal well productivity analysis method described in any embodiment of the present invention.

[0018] According to another aspect of the present invention, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the shale gas fracturing horizontal well productivity analysis method described in any embodiment of the present invention when executed.

[0019] The technical solution of the embodiment of the present invention obtains the reservoir physical parameters and horizontal well parameters of the target shale gas reservoir, and the reservoir physical parameters and horizontal well parameters can effectively reflect the real situation of the well and the gas reservoir, improve the performance of the model, and realize efficient prediction of production capacity; establish a shale gas fracturing horizontal well production capacity zoning model according to the reservoir physical parameters and the horizontal well parameters through the basic seepage equation, and combine the gas reservoir and well data through the basic seepage equation to improve the performance of the model and the reliability of production capacity analysis; determine the typical curve of the production capacity model according to the shale gas fracturing horizontal well production capacity zoning model, and the typical curve of the production capacity model can reflect the production capacity change process of the well and improve the accuracy of analysis; analyze the production capacity of the target shale gas reservoir according to the typical curve of the production capacity model, and obtain the parameters affecting the production capacity. Accurate analysis of the production capacity change factors of the target shale gas reservoir is realized, and then the gas reservoir exploitation can be effectively adjusted, which solves the technical problem that the production capacity of shale gas fracturing horizontal wells cannot be accurately analyzed in the prior art. The clear calculation of production capacity is realized, the process of analyzing the production capacity of shale gas fracturing horizontal wells is simplified, and theoretical and technical support is provided for the effective development of shale reservoirs.

[0020] It should be understood that the contents described in this section are not intended to identify the key or important features of the embodiments of the present invention, nor are they intended to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0022] Figure 1 This is a flow chart of a shale gas fracturing horizontal well productivity analysis method provided in Example 1 of the present invention;

[0023] Figure 2 This is a flow chart of another shale gas fracturing horizontal well productivity analysis method provided by the second embodiment of the present invention;

[0024] Figure 3 This is a schematic diagram of the structure of a shale gas fracturing horizontal well productivity analysis device provided by the third embodiment of the present invention;

[0025] Figure 4 It is a schematic diagram of the structure of an electronic device for implementing the shale gas fracturing horizontal well productivity analysis method according to an embodiment of the present invention. DETAILED DESCRIPTION

[0026] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0027] Embodiment 1

[0028] Figure 1 The first embodiment of the present invention provides a flowchart of a shale gas fracturing horizontal well productivity analysis method. This embodiment can be applied to the analysis of various mining factors that affect the productivity of shale gas fracturing horizontal wells. The method can be executed by a shale gas fracturing horizontal well productivity analysis device. The shale gas fracturing horizontal well productivity analysis device can be implemented in the form of hardware and / or software. The shale gas fracturing horizontal well productivity analysis device can be configured in an electronic device. Figure 1 As shown, the method includes:

[0029] S110. Obtain reservoir physical parameters and horizontal well parameters of the target shale gas reservoir.

[0030] The reservoir physical parameters may be parameters of the physical shape of the shale gas reservoir. For example, the reservoir physical parameters may be porosity, permeability, gas content, porosity distribution and fracturing parameters.

[0031] The horizontal well parameters may be parameters of a shale gas fracturing horizontal well in a target shale gas reservoir. For example, the horizontal well parameters may be fracturing pressure, fracturing fluid volume, fracturing fluid properties, fracturing fluid injection rate, and fracturing borehole length.

[0032] Specifically, for the target shale gas reservoir to be analyzed, a shale gas fracturing horizontal well for exploiting the target shale gas reservoir is determined, and reservoir physical parameters of the target shale gas reservoir and horizontal well parameters of the shale gas fracturing horizontal well are obtained respectively.

[0033] S120, establishing a shale gas fracturing horizontal well productivity zoning model according to the reservoir physical parameters and the horizontal well parameters through a basic seepage equation.

[0034] Among them, the basic seepage equation can be used to describe the fluid seepage behavior in the target shale gas reservoir; the basic seepage equation can be used to analyze and simulate the seepage process in the reservoir, predict the distribution and flow velocity of the fluid, and establish a simulation model for the shale gas reservoir.

[0035] Among them, the shale gas fracturing horizontal well capacity zoning model can evaluate and analyze the capacity of shale gas fracturing horizontal wells; it should be noted that the shale gas fracturing horizontal well capacity zoning model divides the well section into different capacity zones according to the geological parameters and fracturing parameters of different shale gas reservoir areas, and can be used to predict and optimize the capacity of shale gas fracturing horizontal wells.

[0036] Specifically, a shale gas fractured horizontal well productivity zoning model of shale gas fractured horizontal wells is established according to the fluid seepage behavior and reservoir physical parameters in the target shale gas reservoir through the basic seepage equation and combined with the horizontal well parameters of the shale gas fractured horizontal wells in the target shale gas reservoir.

[0037] S130. Determine a typical curve of a productivity model according to the productivity zoning model of shale gas fracturing horizontal wells.

[0038] Among them, the typical curve of the production capacity model can be a curve describing the production capacity of shale gas fracturing horizontal wells at various production stages.

[0039] Optionally, according to the shale gas fracturing horizontal well productivity zoning model, the shale gas fracturing horizontal well productivity zoning model is linearly solved by Laplace transform to obtain a typical curve of the productivity model.

[0040] Specifically, the shale gas fracturing horizontal well productivity zoning model is used to solve the linear change of the shale gas fracturing horizontal well in the target shale gas reservoir, and a typical curve of the productivity model describing the productivity of the shale gas fracturing horizontal well in each production stage is obtained.

[0041] S140, analyzing the production capacity of the target shale gas reservoir according to the typical curve of the production capacity model to obtain parameters affecting the production capacity.

[0042] The parameter affecting the production capacity may be the last parameter affecting the development capacity in the shale gas development process of the shale gas fracturing horizontal well. Exemplarily, the parameter affecting the production capacity may be at least one of geological parameters, fracturing parameters, artificial fracture spacing, artificial fracture half-length, artificial fracture half-length, secondary fracture length / artificial fracture spacing, artificial fracture spacing, inner zone matrix permeability, fracture spacing, transformation zone width, and secondary fracture spacing.

[0043] Specifically, the production capacity of the target shale gas reservoir is analyzed through the typical curve of the production capacity model, and the production capacity parameters affecting the production capacity of shale gas fracturing horizontal wells are determined.

[0044] The technical solution of the embodiment of the present invention obtains the reservoir physical parameters and horizontal well parameters of the target shale gas reservoir, and the reservoir physical parameters and horizontal well parameters can effectively reflect the real situation of the well and the gas reservoir, improve the performance of the model, and realize efficient prediction of production capacity; establish a shale gas fracturing horizontal well production capacity zoning model according to the reservoir physical parameters and the horizontal well parameters through the basic seepage equation, and combine the data of the gas reservoir and the well through the basic seepage equation, so as to improve the performance of the model and the reliability of production capacity analysis; determine the typical curve of the production capacity model according to the shale gas fracturing horizontal well production capacity zoning model, and through the typical curve of the production capacity model, the production capacity change process of the well can be reflected, and the accuracy of analysis can be improved; analyze the production capacity of the target shale gas reservoir according to the typical curve of the production capacity model, and obtain the parameters affecting the production capacity. Accurate analysis of the production capacity change factors of the target shale gas reservoir is realized, and then the gas reservoir exploitation can be effectively adjusted, which solves the technical problem that the production capacity of shale gas fracturing horizontal wells cannot be accurately analyzed in the prior art. The clear calculation of production capacity is realized, the process of analyzing the production capacity of shale gas fracturing horizontal wells is simplified, and theoretical and technical support is provided for the effective development of shale reservoirs.

[0045] Embodiment 2

[0046] Figure 2 1 is a flow chart of another method for analyzing the productivity of shale gas fracturing horizontal wells provided by the second embodiment of the present invention. The relationship between this embodiment and the above embodiment is a specific method for analyzing the productivity of the target shale gas reservoir. Figure 2 As shown, the shale gas fracturing horizontal well productivity analysis method includes:

[0047] S210. Obtain reservoir physical parameters and horizontal well parameters of the target shale gas reservoir.

[0048] S220, establishing a shale gas fracturing horizontal well productivity zoning model according to the reservoir physical parameters and the horizontal well parameters through a basic seepage equation.

[0049] S230. Determine a typical curve of a productivity model according to the productivity zoning model of shale gas fracturing horizontal wells.

[0050] S240, dividing the flow stages of the typical curve of the production capacity model, determining at least one curve flow stage, and calculating the production capacity analytical expression corresponding to each curve flow stage; analyzing the production capacity of the target shale gas reservoir according to the production capacity analytical expression to obtain the parameters affecting the production capacity.

[0051] The capacity analysis expression may be an expression for expressing the capacity corresponding to the flow stage.

[0052] The flow stage can be the flow change of the curve at different stages of the typical curve of the capacity model. Optionally, the curve flow stage includes at least one of: artificial fracture linear flow, first transition flow, secondary fracture linear flow, second transition flow and matrix linear flow. In the artificial fracture linear flow stage, the gas flows through the artificial fracture; in the first transition flow stage, the gas transfers from the fracture to the natural fracture and the matrix; in the secondary fracture linear flow stage, the gas flows through the natural fracture and the matrix; in the second transition flow stage, the gas flows from the natural fracture and the matrix to the wellbore; in the matrix linear flow stage, the gas flows through the matrix.

[0053] Specifically, a typical curve of the capacity model is obtained, and according to the curve change of the typical curve of the capacity model, at least one curve flow stage is divided, and the capacity analytical expression corresponding to each curve flow stage is calculated, and the capacity of the target shale gas reservoir is analyzed in turn through the capacity analytical expression to obtain the parameters affecting the capacity.

[0054] Optionally, in another optional embodiment of the present invention, analyzing the productivity of the target shale gas reservoir according to the productivity analytical expression to obtain the parameters affecting productivity includes:

[0055] The production capacity analytical expression is subjected to nonlinear changes to obtain a production capacity change equation; the production capacity change equation is iteratively calculated according to a preset nonlinear desorption term combined with a material balance principle to determine a production capacity analysis equation; the production capacity of the target shale gas reservoir is analyzed according to the production capacity analysis equation to obtain the parameters affecting production capacity.

[0056] The nonlinear change may be a nonlinear transformation of the linear capacity analytical expression.

[0057] The production capacity change equation may be a nonlinear expression of the production capacity of the target shale gas reservoir at each flow stage.

[0058] Among them, the material balance principle can be to maintain a balance between the input and output of materials in the target shale gas reservoir.

[0059] The nonlinear desorption term may be a nonlinear description of the desorption process of natural gas in shale in a shale gas reservoir. It should be noted that the adsorption-desorption process of natural gas in a shale gas reservoir is a nonlinear change, and the introduction of a nonlinear desorption term can effectively approach the actual production process.

[0060] Among them, the production capacity analysis equation can be used to analyze the production capacity changes of the target shale gas reservoir.

[0061] Specifically, the capacity analysis equation is determined by performing nonlinear changes on the capacity analysis expression, and the capacity change equation is repeatedly iterated by introducing preset nonlinear desorption terms and nonlinear factors combined with the material balance principle to determine the capacity analysis equation, and the capacity of the target shale gas reservoir is analyzed by the capacity analysis equation to obtain parameters affecting the capacity. Among them, the nonlinear factors may include at least one of the conductivity of the hydraulic fracture, the conductivity of the natural fracture, the permeability of the matrix, the adsorption and desorption effect, and the slippage effect.

[0062] Optionally, in another optional embodiment of the present invention, analyzing the productivity of the target shale gas reservoir according to the productivity analysis equation to obtain the parameters affecting productivity includes:

[0063] The shale gas fracturing horizontal well of the target shale gas reservoir is simulated and calculated according to the productivity analysis equation to obtain the production parameters of the target shale gas reservoir; the productivity of the target shale gas reservoir is analyzed according to the productivity analysis equation and the production parameters to obtain the parameters affecting productivity.

[0064] Among them, the production parameters can be the real time, real production and cumulative production of shale gas fracturing horizontal wells. The real time can refer to the time from the start of fracturing to the arrival of gas at the wellhead; the real production can refer to the actual amount of gas flowing out of the wellhead; the cumulative production can refer to the total gas production from the start of fracturing to the current time.

[0065] Specifically, the shale gas fracturing horizontal wells in the target shale gas reservoir are simulated and calculated according to the production capacity analysis equation to obtain the real time, real production and cumulative production of the shale gas fracturing horizontal wells in the target shale gas reservoir; the production capacity of the target shale gas reservoir is analyzed according to the production capacity analysis equation and the real time, real production and cumulative production to obtain the parameters affecting the production capacity.

[0066] Optionally, in another optional embodiment of the present invention, the parameters affecting production capacity include production capacity influencing factors, production capacity main controlling factors and production capacity composition factors; the production capacity of the target shale gas reservoir is analyzed according to the production capacity analysis equation and the production parameters to obtain the parameters affecting production capacity, including:

[0067] According to the production capacity analysis equation and the production parameters, the production capacity of the target shale gas reservoir is analyzed for factors affecting the production capacity to determine the production capacity affecting factors; according to the production capacity analysis equation and the production parameters, the production capacity main control analysis is performed on the production capacity of the target shale gas reservoir to determine the production capacity main control factors; according to the production capacity analysis equation and the production parameters, the production capacity composition analysis is performed on the production capacity of the target shale gas reservoir to determine the production capacity composition factors.

[0068] Among them, the productivity influencing factors may be physical parameters of the target shale gas reservoir that affect the productivity; illustratively, the productivity influencing factors may be geological parameters and fracturing parameters.

[0069] Among them, the main controlling factors of production capacity can be factors corresponding to the degree of influence of various factors affecting production capacity. For example, the main controlling factors of production capacity can be the main controlling factors of the degree of influence of various factors of initial production capacity: artificial fracture spacing and artificial fracture half-length; the main controlling factors of the influence of various factors of final recovery rate are: artificial fracture half-length, secondary fracture length / artificial fracture spacing and artificial fracture length.

[0070] Among them, the production capacity composition factor can be an influencing factor affecting the production capacity composition of the target shale gas reservoir. For example, in the change of the production of the target shale gas reservoir, the proportion of the desorbed gas produced in the total produced gas volume first increases and then tends to be flat. At this time, the inner zone matrix permeability and fracture spacing, the width of the reformed zone, and the secondary fracture spacing are the production capacity composition factors affecting the shale gas fracturing horizontal well.

[0071] Specifically, the capacity analysis equation and production parameters are used to analyze the factors affecting the capacity of the target shale gas reservoir, and the capacity influencing factors affecting the capacity of the target shale gas reservoir are determined. The capacity analysis equation and production parameters are used to analyze the capacity of the target shale gas reservoir, and the capacity main controlling factors affecting the capacity of the target shale gas reservoir are determined. The capacity analysis equation and production parameters are used to analyze the capacity of the target shale gas reservoir, and the capacity composition factors affecting the capacity of the target shale gas reservoir are determined.

[0072] Optionally, in another optional embodiment of the present invention, the process of analyzing the production capacity influencing factors of the target shale gas reservoir according to the production capacity analysis equation and the production parameters to determine the production capacity influencing factors includes:

[0073] A numerical solution analysis is performed based on the capacity analysis equation and the production parameters to determine the numerical solution analysis result; an analytical solution analysis is performed based on the capacity analysis equation and the production parameters to determine the analytical solution analysis result; and the capacity influencing factors are determined based on the numerical solution analysis result and the analytical solution analysis result.

[0074] The numerical solution analysis result may be an analytical result obtained by numerically solving the capacity analysis equation.

[0075] The analytical solution result may be an analytical result obtained by analytically solving the capacity analysis equation.

[0076] Specifically, the independent variables of the target shale gas reservoir corresponding to the control capacity analysis equation are numerically analyzed in combination with the production parameters to prove the numerical solution analysis results of the capacity analysis equation; the analytical solution analysis results are obtained by proving and solving the capacity analysis equation and analyzing the analytical solution in combination with the production parameters, and the capacity influencing factors are determined according to the numerical solution analysis results and the analytical solution analysis results.

[0077] Optionally, in an embodiment of the present invention, the main controlling factors of production capacity and the factors constituting production capacity are analyzed by using the numerical solution analysis results and the analytical solution analysis results.

[0078] The technical solution of the embodiment of the present invention obtains the reservoir physical parameters and horizontal well parameters of the target shale gas reservoir, and the reservoir physical parameters and horizontal well parameters can effectively reflect the real situation of the well and the gas reservoir, improve the performance of the model, and realize efficient prediction of production capacity; establish a shale gas fracturing horizontal well production capacity zoning model according to the reservoir physical parameters and the horizontal well parameters through the basic seepage equation, and combine the data of the gas reservoir and the well through the basic seepage equation, so as to improve the performance of the model and the reliability of production capacity analysis; determine the typical curve of the production capacity model according to the shale gas fracturing horizontal well production capacity zoning model, and through the typical curve of the production capacity model, the production capacity change process of the well can be reflected, and the accuracy of analysis can be improved; analyze the production capacity of the target shale gas reservoir according to the typical curve of the production capacity model, and obtain the parameters affecting the production capacity. Accurate analysis of the production capacity change factors of the target shale gas reservoir is realized, and then the gas reservoir exploitation can be effectively adjusted, which solves the technical problem that the production capacity of shale gas fracturing horizontal wells cannot be accurately analyzed in the prior art. The clear calculation of production capacity is realized, the process of analyzing the production capacity of shale gas fracturing horizontal wells is simplified, and theoretical and technical support is provided for the effective development of shale reservoirs.

[0079] Embodiment 3

[0080] Figure 3 Schematic diagram of the structure of a shale gas fracturing horizontal well productivity analysis device provided by the third embodiment of the present invention. Figure 3As shown, the device includes: a data acquisition module 310, a model building module 320, a model parsing module 330 and a capacity analysis module 340, wherein:

[0081] The data acquisition module 310 is used to acquire reservoir physical parameters and horizontal well parameters of the target shale gas reservoir;

[0082] A model building module 320 is used to establish a shale gas fracturing horizontal well productivity zoning model according to the reservoir physical parameters and the horizontal well parameters through a basic seepage equation;

[0083] A model analysis module 330 is used to determine a typical curve of a productivity model according to the productivity zoning model of shale gas fracturing horizontal wells;

[0084] The capacity analysis module 340 is used to analyze the capacity of the target shale gas reservoir according to the typical curve of the capacity model to obtain parameters affecting the capacity.

[0085] The technical solution of the embodiment of the present invention obtains the reservoir physical parameters and horizontal well parameters of the target shale gas reservoir, and the reservoir physical parameters and horizontal well parameters can effectively reflect the real situation of the well and the gas reservoir, improve the performance of the model, and realize efficient prediction of production capacity; establish a shale gas fracturing horizontal well production capacity zoning model according to the reservoir physical parameters and the horizontal well parameters through the basic seepage equation, and combine the data of the gas reservoir and the well through the basic seepage equation, so as to improve the performance of the model and the reliability of production capacity analysis; determine the typical curve of the production capacity model according to the shale gas fracturing horizontal well production capacity zoning model, and through the typical curve of the production capacity model, the production capacity change process of the well can be reflected, and the accuracy of analysis can be improved; analyze the production capacity of the target shale gas reservoir according to the typical curve of the production capacity model, and obtain the parameters affecting the production capacity. Accurate analysis of the production capacity change factors of the target shale gas reservoir is realized, and then the gas reservoir exploitation can be effectively adjusted, which solves the technical problem that the production capacity of shale gas fracturing horizontal wells cannot be accurately analyzed in the prior art. The clear calculation of production capacity is realized, the process of analyzing the production capacity of shale gas fracturing horizontal wells is simplified, and theoretical and technical support is provided for the effective development of shale reservoirs.

[0086] Optionally, the capacity analysis module is specifically used for:

[0087] Dividing the flow phases of the typical curve of the capacity model, determining at least one curve flow phase, and calculating the capacity analytical expression corresponding to each curve flow phase;

[0088] The productivity of the target shale gas reservoir is analyzed according to the productivity analytical expression to obtain the parameters affecting productivity.

[0089] Optionally, the capacity analysis module is further used to:

[0090] Performing nonlinear changes on the capacity analytical expression to obtain a capacity change equation;

[0091] Iteratively calculating the capacity change equation according to the preset nonlinear desorption term combined with the material balance principle to determine the capacity analysis equation;

[0092] The productivity of the target shale gas reservoir is analyzed according to the productivity analysis equation to obtain the parameters affecting productivity.

[0093] Optionally, the capacity analysis module is further used to:

[0094] According to the productivity analysis equation, a shale gas fracturing horizontal well of the target shale gas reservoir is simulated and calculated to obtain production parameters of the target shale gas reservoir;

[0095] The productivity of the target shale gas reservoir is analyzed according to the productivity analysis equation and the production parameters to obtain the parameters affecting productivity.

[0096] Optionally, the capacity analysis module is further used to:

[0097] Performing a capacity influencing factor analysis on the capacity of the target shale gas reservoir according to the capacity analysis equation and the production parameters to determine the capacity influencing factor;

[0098] Performing a production capacity master control analysis on the production capacity of the target shale gas reservoir according to the production capacity analysis equation and the production parameters to determine the production capacity master control factor;

[0099] A production capacity composition analysis is performed on the production capacity of the target shale gas reservoir according to the production capacity analysis equation and the production parameters to determine the production capacity composition factors.

[0100] Optionally, the capacity analysis module is further used to:

[0101] Performing numerical solution analysis according to the capacity analysis equation and the production parameters to determine the numerical solution analysis result;

[0102] Perform analytical solution analysis according to the capacity analysis equation and the production parameters to determine the analytical solution analysis result;

[0103] The production capacity influencing factors are determined according to the numerical solution analysis results and the analytical solution analysis results.

[0104] Optionally, the capacity analysis module is further specifically used for: the curved flow stage includes: at least one of artificial fracture linear flow, first transition flow, secondary fracture linear flow, second transition flow and matrix linear flow.

[0105] The shale gas fracturing horizontal well productivity analysis device provided in the embodiment of the present invention can execute the shale gas fracturing horizontal well productivity analysis method provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method.

[0106] Embodiment 4

[0107] Figure 4 A schematic diagram of the structure of an electronic device 10 that can be used to implement an embodiment of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described and / or required herein.

[0108] like Figure 4 As shown, the electronic device 10 includes at least one processor 11, and a memory connected to the at least one processor 11, such as a read-only memory (ROM) 12, a random access memory (RAM) 13, etc., wherein the memory stores a computer program that can be executed by at least one processor, and the processor 11 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 12 or the computer program loaded from the storage unit 18 to the random access memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 can also be stored. The processor 11, the ROM 12, and the RAM 13 are connected to each other through a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0109] A number of components in the electronic device 10 are connected to the I / O interface 15, including: an input unit 16, such as a keyboard, a mouse, etc.; an output unit 17, such as various types of displays, speakers, etc.; a storage unit 18, such as a disk, an optical disk, etc.; and a communication unit 19, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0110] The processor 11 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any appropriate processor, controller, microcontroller, etc. The processor 11 executes the various methods and processes described above, such as a shale gas fracturing horizontal well productivity analysis method.

[0111] In some embodiments, the shale gas fracturing horizontal well productivity analysis method can be implemented as a computer program, which is tangibly contained in a computer-readable storage medium, such as a storage unit 18. In some embodiments, part or all of the computer program can be loaded and / or installed on the electronic device 10 via the ROM 12 and / or the communication unit 19. When the computer program is loaded into the RAM 13 and executed by the processor 11, one or more steps of the shale gas fracturing horizontal well productivity analysis method described above can be performed. Alternatively, in other embodiments, the processor 11 can be configured to execute the shale gas fracturing horizontal well productivity analysis method by any other appropriate means (for example, by means of firmware).

[0112] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0113] Computer programs for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that when the computer program is executed by the processor, the functions / operations specified in the flow chart and / or block diagram are implemented. The computer program may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0114] In the context of the present invention, a computer-readable storage medium may be a tangible medium that may contain or store a computer program for use by or in combination with an instruction execution system, device or equipment. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices or equipment, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0115] To provide interaction with a user, the systems and techniques described herein may be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or trackball) through which the user can provide input to the electronic device. Other types of devices may also be used to provide interaction with the user; for example, the feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form (including acoustic input, voice input, or tactile input).

[0116] The systems and techniques described herein may be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0117] A computing system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The client and server relationship is generated by computer programs running on the corresponding computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system to solve the defects of difficult management and weak business scalability in traditional physical hosts and VPS services.

[0118] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps described in the present invention can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solution of the present invention can be achieved, and this document does not limit this.

[0119] Embodiment 5

[0120] This embodiment provides a computer-readable storage medium having a computer program stored thereon. When the program is executed by a processor, the steps of the shale gas fractured horizontal well productivity analysis method provided in any embodiment of the present invention are implemented. The method includes:

[0121] Obtain reservoir physical parameters and horizontal well parameters of target shale gas reservoirs;

[0122] Establishing a shale gas fracturing horizontal well productivity zoning model according to the reservoir physical parameters and the horizontal well parameters through a basic seepage equation;

[0123] Determine a typical curve of a productivity model according to the productivity zoning model of shale gas fracturing horizontal wells;

[0124] The productivity of the target shale gas reservoir is analyzed according to the typical curve of the productivity model to obtain parameters affecting the productivity.

[0125] The computer storage medium of the embodiment of the present invention can adopt any combination of one or more computer-readable media. The computer-readable medium can be a computer-readable signal medium or a computer-readable storage medium. The computer-readable storage medium can be, for example, but not limited to: an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples (non-exhaustive list) of computer-readable storage media include: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In this document, a computer-readable storage medium can be any tangible medium containing or storing a program, which can be used by an instruction execution system, device or device or used in combination with it.

[0126] Computer-readable signal media may include data signals propagated in baseband or as part of a carrier wave, which carry computer-readable program code. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. Computer-readable signal media may also be any computer-readable medium other than a computer-readable storage medium, which may send, propagate, or transmit a program for use by or in conjunction with an instruction execution system, apparatus, or device.

[0127] The program code embodied on the computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

[0128] Computer program code for performing the operations of the present invention may be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0129] It should be understood by those skilled in the art that the modules or steps of the present invention described above can be implemented by a general-purpose computing device, they can be concentrated on a single computing device, or distributed on a network composed of multiple computing devices, optionally, they can be implemented by a program code executable by a computer device, so that they can be stored in a storage device and executed by the computing device, or they can be made into individual integrated circuit modules, or multiple modules or steps therein can be made into a single integrated circuit module for implementation. Thus, the present invention is not limited to any specific combination of hardware and software.

[0130] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps described in the present invention can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solution of the present invention can be achieved, and this document does not limit this.

[0131] The above specific implementations do not constitute a limitation on the protection scope of the present invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for analyzing the productivity of shale gas fracturing horizontal wells, characterized in that: include: Obtain reservoir physical parameters and horizontal well parameters of target shale gas reservoirs; Establishing a shale gas fracturing horizontal well productivity zoning model according to the reservoir physical parameters and the horizontal well parameters through a basic seepage equation; Determine a typical curve of a productivity model according to the productivity zoning model of shale gas fracturing horizontal wells; The productivity of the target shale gas reservoir is analyzed according to the typical curve of the productivity model to obtain parameters affecting the productivity.

2. The method according to claim 1, characterized in that The process of analyzing the production capacity of the target shale gas reservoir according to the typical curve of the production capacity model to obtain parameters affecting the production capacity includes: Dividing the flow phases of the typical curve of the capacity model, determining at least one curve flow phase, and calculating the capacity analytical expression corresponding to each curve flow phase; The productivity of the target shale gas reservoir is analyzed according to the productivity analytical expression to obtain the parameters affecting productivity.

3. The method according to claim 1, characterized in that Analyzing the production capacity of the target shale gas reservoir according to the production capacity analytical expression to obtain the parameters affecting production capacity includes: Performing nonlinear changes on the capacity analytical expression to obtain a capacity change equation; Iteratively calculating the capacity change equation according to the preset nonlinear desorption term combined with the material balance principle to determine the capacity analysis equation; The productivity of the target shale gas reservoir is analyzed according to the productivity analysis equation to obtain the parameters affecting productivity.

4. The method according to claim 3, characterized in that: Analyzing the production capacity of the target shale gas reservoir according to the production capacity analysis equation to obtain the parameters affecting production capacity includes: According to the productivity analysis equation, a shale gas fracturing horizontal well of the target shale gas reservoir is simulated and calculated to obtain production parameters of the target shale gas reservoir; The productivity of the target shale gas reservoir is analyzed according to the productivity analysis equation and the production parameters to obtain the parameters affecting productivity.

5. The method according to claim 4, characterized in that The parameters affecting production capacity include production capacity influencing factors, production capacity main controlling factors and production capacity composition factors; the production capacity of the target shale gas reservoir is analyzed according to the production capacity analysis equation and the production parameters to obtain the parameters affecting production capacity, including: Performing a capacity influencing factor analysis on the capacity of the target shale gas reservoir according to the capacity analysis equation and the production parameters to determine the capacity influencing factor; Performing a production capacity master control analysis on the production capacity of the target shale gas reservoir according to the production capacity analysis equation and the production parameters to determine the production capacity master control factor; A production capacity composition analysis is performed on the production capacity of the target shale gas reservoir according to the production capacity analysis equation and the production parameters to determine the production capacity composition factors.

6. The method according to claim 5, characterized in that The step of analyzing the production capacity influencing factors of the target shale gas reservoir according to the production capacity analysis equation and the production parameters to determine the production capacity influencing factors includes: Performing numerical solution analysis according to the capacity analysis equation and the production parameters to determine the numerical solution analysis result; Perform analytical solution analysis according to the capacity analysis equation and the production parameters to determine the analytical solution analysis result; The production capacity influencing factors are determined according to the numerical solution analysis results and the analytical solution analysis results.

7. The method according to claim 2, characterized in that The curved flow stage includes at least one of: artificial fracture linear flow, first transition flow, secondary fracture linear flow, second transition flow and matrix linear flow.

8. A shale gas fracturing horizontal well productivity analysis device, characterized in that: include: A data acquisition module, used to obtain reservoir physical parameters and horizontal well parameters of the target shale gas reservoir; A model building module, used to establish a shale gas fracturing horizontal well productivity zoning model according to the reservoir physical parameters and the horizontal well parameters through a basic seepage equation; A model analysis module, used to determine a typical curve of a productivity model according to the productivity zoning model of shale gas fracturing horizontal wells; The capacity analysis module is used to analyze the capacity of the target shale gas reservoir according to the typical curve of the capacity model to obtain parameters affecting the capacity.

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 a computer program that can be executed by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the shale gas fracturing horizontal well productivity analysis method described in any one of claims 1-7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the shale gas fracturing horizontal well productivity analysis method described in any one of claims 1-7 when executed.

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