Proppant laying design method and device, electronic equipment, storage medium and program product

Abstract

The invention discloses a proppant laying design method and device, electronic equipment, a storage medium and a program product. The method comprises the steps of obtaining target field data of a target well in the fracturing construction process of the target well; determining target fracture geometrical morphology parameters of the target well according to the target field data; and inputting the target field data and the geometrical morphology parameters of the target crack into a pre-constructed proppant laying digital twinborn model, and determining a proppant laying design scheme of the target well through the proppant laying digital twinborn model. Through the technical scheme provided by the embodiment of the invention, the problems of large error, low optimization efficiency, experimental result idealization and the like in the proppant laying design are solved, the proppant laying design scheme of the target well can be accurately determined through the pre-constructed proppant laying digital twinborn model, the scientificity and the efficiency of the fracturing design are improved, and the proppant laying design method and the proppant laying digital twinborn model can be applied to the field of fracturing. The requirements of different working conditions and proppant types are met.

Description

Technical Field

[0001] This invention relates to the field of oil and gas field fracturing engineering technology, and in particular to a proppant placement design method, device, electronic equipment, storage medium and program product. Background Technology

[0002] In the development of unconventional oil and gas fields, the proppant placement effect directly affects the conductivity of fractures and the fracturing stimulation effect. However, current proppant placement design mainly relies on experience and limited experimental data, lacking accurate prediction tools.

[0003] The following three schemes are mainly used in the existing technology for proppant placement design: (1) Large-scale proppant parallel plate placement experiment. The proppant migration process in the fracture is simulated through physical experiments. Common simulation devices include flow tank experiments and fracture model experiments. These experiments can help study the sedimentation and placement behavior of proppant, but they are limited by experimental conditions, costly, time-consuming, and difficult to fully simulate complex geological conditions. (2) Numerical model of proppant migration in fracture based on similarity criteria. Relying on numerical simulation software (such as CFD software), a mathematical model of proppant migration is established, and the flow and deposition behavior of proppant in the fracture is studied by simulating fluid dynamics, fracture geometry, etc. This method can provide qualitative results, but the accuracy is limited by model assumptions, and the calculation is complex and the optimization efficiency is low. (3) Experience method of sand addition design based on static data such as well logging curves and geological conditions. Based on the data of historical fracturing operations, the proppant placement is estimated and designed through empirical formulas or engineering databases. According to the formation properties, fracture characteristics and fracturing construction parameters, the static sand addition design method is used to determine the sand quantity and sand concentration. However, the design process cannot be dynamically optimized and is difficult to adjust in real time, resulting in a lack of flexibility during construction and an inability to cope with complex changes. Summary of the Invention

[0004] This invention provides a proppant placement design method, apparatus, electronic device, storage medium, and program product, which solves the problems of large errors, low optimization efficiency, and idealized experimental results in proppant placement design.

[0005] According to one aspect of the present invention, a proppant placement design method is provided, comprising:

[0006] During the fracturing operation of the target well, the target site data of the target well is obtained;

[0007] Determine the target fracture geometry parameters of the target well based on the target site data;

[0008] The target site data and the target fracture geometry parameters are input into a pre-constructed digital twin model of proppant placement, and the proppant placement design scheme of the target well is determined through the digital twin model of proppant placement.

[0009] According to another aspect of the present invention, a proppant placement design apparatus is provided, comprising:

[0010] The target site data acquisition module is used to acquire the target site data of the target well during the fracturing operation of the target well;

[0011] The target fracture geometry parameter determination module is used to determine the target fracture geometry parameters of the target well based on the target field data.

[0012] The proppant placement design scheme determination module is used to input the target field data and the target fracture geometry parameters into a pre-constructed proppant placement digital twin model, and determine the proppant placement design scheme of the target well through the proppant placement digital twin model.

[0013] According to another aspect of the present invention, an electronic device is provided, the electronic device comprising:

[0014] At least one processor; and

[0015] A memory communicatively connected to the at least one processor; wherein,

[0016] The memory stores a computer program that can be executed by the at least one processor, the computer program being executed by the at least one processor to enable the at least one processor to perform the proppant placement design method according to any embodiment of the present invention.

[0017] According to another aspect of the present invention, a computer-readable storage medium is provided, the computer-readable storage medium storing computer instructions for causing a processor to execute and implement the proppant placement design method according to any embodiment of the present invention.

[0018] According to another aspect of the present invention, a computer program product is provided, the computer program product comprising a computer program that, when executed by a processor, implements the proppant placement design method according to any embodiment of the present invention.

[0019] The proppant placement design scheme of this invention involves acquiring target field data of the target well during fracturing operations; determining the target fracture geometry parameters based on the target field data; inputting the target field data and the target fracture geometry parameters into a pre-constructed digital twin model of proppant placement; and determining the proppant placement design scheme for the target well through the digital twin model. The technical solution provided by this invention solves the problems of large errors, low optimization efficiency, and idealized experimental results in proppant placement design. By using a pre-constructed digital twin model of proppant placement, the proppant placement design scheme for the target well can be accurately determined, improving the scientific nature and efficiency of fracturing design and adapting to the needs of different working conditions and proppant types.

[0020] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of the present invention, nor is it intended to limit the scope of the invention. Other features of the invention will become readily apparent from the following description. Attached Figure Description

[0021] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0022] Figure 1 A flowchart of a proppant placement design method provided in Embodiment 1 of the present invention;

[0023] Figure 2 This is a schematic diagram of a proppant placement design device provided in Embodiment 2 of the present invention;

[0024] Figure 3 This is a schematic diagram of the structure of an electronic device that implements the proppant placement design method of the present invention. Detailed Implementation

[0025] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0026] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0027] Example 1

[0028] Figure 1 This is a flowchart of a proppant placement design method provided in Embodiment 1 of the present invention. This embodiment is applicable to determining the proppant placement design scheme for a target well. This method can be executed by a proppant placement design device, which can be implemented in hardware and / or software and can be configured in an electronic device. Figure 1 As shown, the method includes:

[0029] S110. During the fracturing operation of the target well, obtain the target site data of the target well.

[0030] In this embodiment of the invention, target site data of the target well is acquired during the fracturing operation. This target site data includes geological feature data, proppant performance data, and pump-related data. The geological feature data includes Young's modulus, Poisson's ratio, in-situ stress, reservoir temperature, reservoir pressure, perforation density, number of perforations, and number of clusters, etc., and can be obtained through internal data. The proppant performance data includes the apparent density and bulk density of the proppant. Pump-related data such as displacement, fracturing fluid viscosity, proppant dosage, proppant concentration, and proppant type can be acquired in real time using sensors and detection devices installed on-site, or the displacement, fracturing fluid viscosity, proppant dosage, proppant concentration, and proppant type can be designed according to relevant design requirements.

[0031] S120. Determine the target fracture geometry parameters of the target well based on the target field data.

[0032] In this embodiment of the invention, based on geological feature data, proppant performance data and pumping correlation data, simulation is carried out in the existing numerical model of fracture extension based on displacement discontinuity method and finite element method to form the fracture morphology after fracturing. According to the mesh division of the numerical model, the geometric parameters of the target fracture morphology of the target well are obtained.

[0033] S130. Input the target site data and the target fracture geometry parameters into the pre-constructed proppant placement digital twin model, and determine the proppant placement design scheme of the target well through the proppant placement digital twin model.

[0034] In this embodiment of the invention, target site data and target fracture geometry parameters are used as input data and input into a pre-constructed digital twin model of proppant placement. The proppant placement design scheme for the target well is determined through the digital twin model. The proppant placement design scheme ensures the reasonable distribution of proppant during construction and maximizes proppant placement efficiency while minimizing cost. Optionally, the proppant migration trajectory within the fracture can be reconstructed based on the principle of similarity. A dynamic sand transport physical simulation device can be built indoors to determine the migration and placement patterns of conventional and micro-proppants under different sand addition methods. The experimental data from the dynamic sand transport physical simulation device is combined with the proppant migration model within the fracture. Using the experimental data as idealized data and the experimental data as constraints, the proppant migration model is gradually adjusted to achieve a dynamic mapping between the virtual numerical model and the experimental data, forming a digital twin model of proppant placement.

[0035] Optionally, before inputting the target field data and the target fracture geometry parameters into a pre-constructed digital twin model of proppant placement, and determining the proppant placement design scheme for the target well through the digital twin model of proppant placement, the method further includes: acquiring sample field data of a sample fractured well, and determining the sample fracture geometry parameters of the sample fractured well based on the sample field data; constructing a multiphysics model of proppant migration within the fracture based on the sample fracture geometry parameters; wherein, the multiphysics model is used to simulate the migration, settlement, and placement behavior of proppant in the fracture; and constructing a digital twin model of proppant placement based on the sample field data, the sample fracture geometry parameters, and the multiphysics model.

[0036] For example, sample field data of at least one sample fractured well is acquired, including geological feature data, proppant performance data, and pumping correlation data. Based on the sample field data, the sample fracture geometry parameters of the sample fractured well are determined. The method for determining the sample fracture geometry parameters is the same as that for determining the target fracture geometry parameters, and will not be repeated here. Based on the sample fracture geometry parameters, a multiphysics model of proppant migration within the fracture is constructed. This multiphysics model is used to simulate the migration, settling, and placement behavior of the proppant within the fracture. For example, by combining geological features, computational fluid dynamics is used to establish the flow field of hydraulic fractures. The proppant particles are discretized, and a CFD-DEM model of fluid-particle two-phase coupled flow is established, which is the proppant migration model in the fracture. Considering the interactions between fluid and particles, particles and particles, and particles and walls, the transport and settling of proppant carried by slickwater in complex fracture networks is simulated. The migration and placement morphology of proppant in the flow field are studied, and the influence of factors such as sand ratio and sand addition sequence on proppant placement efficiency is analyzed. A multiphysics model of proppant migration in fractures is established.

[0037] Optionally, a multiphysics model of proppant transport within the crack is constructed based on the geometric morphology parameters of the sample crack. This includes: constructing a three-dimensional crack model based on several morphological parameters of the sample crack; using the three-dimensional crack model as the boundary condition of the domain to construct a fluid field model and a particle dynamics model; and coupling the fluid field model and the particle dynamics model to form a multiphysics model of proppant transport within the crack. For example, a three-dimensional crack model is constructed based on several morphological parameters of the sample crack, and a fluid field model is constructed using the three-dimensional crack model as the boundary condition of the domain. Specifically, assuming the fluid is an incompressible Newtonian fluid, the fluid field model includes governing equations and continuity equations, wherein the governing equations are: u represents the fluid velocity vector, with units of m / s; the continuity equation (mass conservation) is: Where, ρ f This indicates the density of the fluid, expressed in kg / m³. 3 ; p represents fluid pressure, in μPa; μ f F represents the viscosity of a fluid, measured in Pa·s. body This represents volume force, with units of N / m. 3 Using the three-dimensional crack model as the boundary condition of the domain, a particle dynamics model is constructed, which includes a translational motion model and a rotational motion model. The translational motion model is as follows: Among them, F fluid-particle F represents the force exerted by the fluid on the particles. contact Indicates the contact force between particles; m p This indicates the mass of the particles, expressed in kg; v pThe vector represents the particle velocity, in m / s²; g represents the acceleration due to gravity, in m / s². 2 The rotational motion model is as follows: Among them, I p The moment of inertia of a particle is expressed in kg·m. 2 M contact ω represents the total external torque on the particle; p This represents the particle angular velocity vector, with units of rad / s.

[0038] A multiphysics model of proppant migration within a fracture is formed by coupling the fluid field model and the particle dynamics model. For example, considering the interactions between fluid and particles, particles and particles, and particles and the wall, the proppant particles are discretized to form a proppant particle field. The fluid field model and the particle dynamics model are then coupled, such as using a unidirectional coupling method to form a multiphysics model of proppant migration within a fracture, i.e., a CFD-DEM-based proppant migration model within a fracture. Optionally, the force exerted by the fluid on the particles is: F fluid-particle =F drag +F lift +F virtual mass +F pressure gradient , where F drag F represents drag force. lift F represents lift; virtual mass F represents the relative acceleration force between particles and fluid. pressure gradient This represents the pressure gradient force, caused by changes in fluid pressure; the drag force is:

[0039] Among them, C D A represents the drag coefficient (dimensionless). p This represents the cross-sectional area of ​​the particles, in meters (m²). 2 Interparticle and particle-wall interactions include contact forces, normal forces, and tangential forces. Contact forces are represented using the Hertz-Mindlin non-adhesive model, and the normal force is: F n =k n δ n n-η n v n k n Indicates contact stiffness, in N / m; δ n Indicates positive displacement, in meters (m); η n This represents the damping coefficient, with units of N·s / m. The tangential force is: F t =-k t δ t t-ηt v t k t Indicates tangential contact stiffness, in N / m; δ t This represents tangential displacement, in meters (m).

[0040] In this embodiment of the invention, a digital twin model of proppant placement is constructed based on digital twin technology, according to sample field data, sample fracture geometry parameters, and a multiphysics model. Optionally, constructing the digital twin model of proppant placement based on the sample field data, sample fracture geometry parameters, and the multiphysics model includes: using the sample field data and sample fracture geometry parameters as input data to the multiphysics model, and constructing the digital twin model of proppant placement based on a pre-set multi-objective optimization algorithm and the multiphysics model; wherein, the multi-objective optimization algorithm is used to determine fracturing construction parameters that meet preset conditions. For example, sample field data of the fractured well is acquired, and the sample fracture geometry parameters are derived from the sample field data. Then, data fusion technology is used to integrate the sample field data and sample fracture geometry parameters into a unified data management platform for data cleaning and standardization, and a metadata management mechanism is established. The multiphysics model of proppant movement within the fracture is encapsulated into modular components, and standardized interface design is implemented to ensure interoperability and reusability of each physical model. Standardized input / output interfaces are established, where the input data consists of the sample field data and sample fracture geometry parameters, and the output data is the optimized proppant addition design scheme, including proppant concentration and amount. By integrating multi-objective optimization algorithms, such as genetic algorithms and particle swarm optimization, the multivariable and nonlinear problems of proppant placement optimization are addressed, achieving multi-objective optimization of proppant placement design. The multi-objective optimization algorithm and the multiphysics model form a closed-loop system, finding the optimal fracturing construction parameters through iterative calculation, thus creating a digital twin model of proppant placement. Optionally, parameter sensitivity analysis can be used to further evaluate the impact of each parameter on key indicators such as proppant placement efficiency and sand laying length.

[0041] For example, to optimize the proppant sand addition design, considering various factors, the following is a particle swarm optimization algorithm. Assume the model function is: Objective Function = f(x1, x2, x3, ..., x...). n ) m →max. If support vector machine optimization is used, first establish the estimation function: in, For a nonlinear mapping from the input space to a high-dimensional feature space, the coefficients w and b are estimated by minimizing:

[0042]

[0043] In regularized risk functionals, empirical risk The loss is measured by the ε-insensitive loss function in the equation. The role of the loss function is that it can be represented as a sparse point using the decision function given in the equation. c is a positive constant, a constant that determines the trade-off between empirical risk and the regularization component. Part Two This is the normalization part. To obtain the coefficients w and b, slack variables are introduced and ξ is... i , To minimize: Its constraints are:

[0044]

[0045] Finally, the decision function given by the equation becomes the exact form due to the introduction of the Lagrange multipliers:

[0046]

[0047] The formula introduces the Lagrange multiplier, namely α. i and For any case where i = 1, 2, ..., n, we have the equation α i ≥0, holds true. By introducing Lagrange multipliers, this convex optimization problem is simplified to a quadratic optimization problem of finding a vector. To find this vector, we need to find the parameter sum of the quadratic maximization expression, with the following constraints:

[0048]

[0049]

[0050] Optionally, after constructing a digital twin model of proppant placement based on a pre-defined multi-objective optimization algorithm and the multi-physics model, the method further includes: acquiring experimental data on proppant migration and placement within fractures in the sample fractured well; and updating the digital twin model of proppant placement based on the experimental data. For example, idealized data on proppant placement in the sample fractured well is acquired, i.e., experimental data on proppant migration and placement within fractures. Specifically, the proppant migration trajectory within fractures is reconstructed based on the principle of similarity. A dynamic sand transport physical simulation device is built indoors, where the fracture morphology is idealized and assumed to be a cuboid containing a cavity with an internal width of 3-20 mm. Based on Reynolds number and Froude number, data from the field pumping program is processed into data for indoor experiments, such as displacement, fracturing fluid viscosity, proppant dosage, proppant concentration, and proppant type. The influence of these factors on proppant migration and placement morphology is analyzed to obtain idealized proppant migration and placement data. Data on proppant migration and placement within fractures under idealized conditions were acquired and used as a high-quality dataset to validate the rationality of the multiphysics model for proppant migration within fractures. The accuracy of the model in describing proppant migration and placement behavior was evaluated by comparing the experimentally obtained idealized data with numerical simulation results. Based on the validation results, hyperparameters in the multiphysics model, such as hydrodynamic parameters and particle-fluid interaction coefficients, were further adjusted to improve the model's fit to the idealized data, thereby updating or optimizing the digital twin model of proppant placement. By optimizing these hyperparameters, the model more accurately reflects the actual migration trajectory and placement morphology of proppant within fractures, improving the fit with the idealized data and ensuring a high degree of consistency between numerical simulations and actual working conditions.

[0051] The proppant placement design method of this invention involves acquiring target field data of the target well during fracturing operations; determining the target fracture geometry parameters of the target well based on the target field data; inputting the target field data and the target fracture geometry parameters into a pre-constructed digital twin model of proppant placement; and determining the proppant placement design scheme for the target well through the digital twin model of proppant placement. The technical solution provided by this invention solves the problems of large errors, low optimization efficiency, and idealized experimental results in proppant placement design. By using a pre-constructed digital twin model of proppant placement, the proppant placement design scheme for the target well can be accurately determined, improving the scientific nature and efficiency of fracturing design and adapting to the needs of different working conditions and proppant types.

[0052] Example 2

[0053] Figure 2This is a schematic diagram of a proppant placement design device provided in Embodiment 2 of the present invention. Figure 2 As shown, the device includes:

[0054] The target site data acquisition module 210 is used to acquire the target site data of the target well during the fracturing operation of the target well;

[0055] The target fracture geometry parameter determination module 220 is used to determine the target fracture geometry parameters of the target well based on the target field data.

[0056] The proppant placement design scheme determination module 230 is used to input the target field data and the target fracture geometry parameters into a pre-constructed proppant placement digital twin model, and determine the proppant placement design scheme of the target well through the proppant placement digital twin model.

[0057] Optionally, the sample field data acquisition module is used to acquire sample field data of the sample fractured well before inputting the target field data and the target fracture geometry parameters into the pre-constructed proppant placement digital twin model and determining the proppant placement design scheme of the target well through the proppant placement digital twin model, and to determine the sample fracture geometry parameters of the sample fractured well based on the sample field data.

[0058] A multiphysics model construction module is used to construct a multiphysics model of proppant migration within the crack based on the sample crack geometry parameters; wherein, the multiphysics model is used to simulate the migration, settlement, and placement behavior of the proppant in the crack;

[0059] The proppant placement digital twin model construction module is used to construct a proppant placement digital twin model based on the sample field data, the sample crack geometry parameters, and the multiphysics model.

[0060] Optionally, the proppant-layout digital twin model building module is used for:

[0061] Using the on-site data of the sample and the geometric morphology parameters of the sample fracture as input data for the multiphysics model, a digital twin model of proppant placement is constructed based on a pre-set multi-objective optimization algorithm and the multiphysics model; wherein, the multi-objective optimization algorithm is used to determine the fracturing construction parameters that meet the preset conditions.

[0062] Optionally, the device further includes:

[0063] The experimental data acquisition module is used to acquire experimental data on the proppant migration and placement within the fractures of the sample fractured well after constructing a digital twin model of proppant placement based on a pre-set multi-objective optimization algorithm and the multi-physics model.

[0064] The proppant placement digital twin model update module is used to update the proppant placement digital twin model based on the experimental data.

[0065] Optionally, the multiphysics model building module is used for:

[0066] A three-dimensional model of the crack was constructed based on several morphological parameters of the sample crack.

[0067] Using the three-dimensional crack model as the boundary condition of the domain, a fluid field model and a particle dynamics model are constructed.

[0068] The fluid field model and the particle dynamics model are coupled and correlated to form a multiphysics model of proppant transport within the crack.

[0069] Optionally, the target site data includes geological feature data, proppant performance data, and pumping correlation data.

[0070] The proppant placement design device provided in the embodiments of the present invention can execute the proppant placement design method provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the method execution.

[0071] Example 3

[0072] Figure 3 A schematic diagram of an electronic device 10 that can be used to implement embodiments 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 processors, cellular phones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the invention described and / or claimed herein.

[0073] like Figure 3As shown, the electronic device 10 includes at least one processor 11 and a memory, such as a read-only memory (ROM) 12 or a random access memory (RAM) 13, communicatively connected to the at least one processor 11. The memory stores computer programs executable by the at least one processor. The processor 11 can perform various appropriate actions and processes based on the computer program stored in the ROM 12 or loaded from storage unit 18 into the RAM 13. The RAM 13 can also store various programs and data required for the operation of the electronic device 10. The processor 11, ROM 12, and RAM 13 are interconnected via a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0074] Multiple components in electronic device 10 are connected to I / O interface 15, including: input unit 16, such as keyboard, mouse, etc.; output unit 17, such as various types of displays, speakers, etc.; storage unit 18, such as disk, optical disk, etc.; and communication unit 19, such as network card, modem, wireless transceiver, etc. Communication unit 19 allows electronic device 10 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0075] Processor 11 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. Processor 11 performs the various methods and processes described above, such as proppant placement design methods.

[0076] In some embodiments, the proppant placement design method may be implemented as a computer program tangibly contained in a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program may be loaded and / or mounted on electronic device 10 via ROM 12 and / or communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more steps of the proppant placement design method described above may be performed. Alternatively, in other embodiments, processor 11 may be configured to perform the proppant placement design method by any other suitable means (e.g., by means of firmware).

[0077] Various embodiments 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-a-chip (SoCs), payload-programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0078] Computer programs used to implement 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, such that when executed by the processor, the computer programs cause the functions / operations specified in the flowcharts and / or block diagrams to be performed. The computer programs may be executed entirely on a machine, partially on a machine, or as a standalone software package, partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0079] In the context of this invention, a computer-readable storage medium can be a tangible medium that may contain or store a computer program for use by or in conjunction with an instruction execution system, apparatus, or device. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination thereof. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof.

[0080] To provide interaction with a user, the systems and techniques described herein can 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 pointing device (e.g., a mouse or trackball) through which the user provides input to the electronic device. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).

[0081] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as data servers), or computing systems that include middleware components (e.g., application servers), or computing systems that include frontend components (e.g., user computers with graphical user interfaces or web browsers through which users can interact with implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., communication networks). Examples of communication networks include local area networks (LANs), wide area networks (WANs), blockchain networks, and the Internet.

[0082] A computing system can include clients and servers. Clients and servers are generally located far apart and typically interact through communication networks. The client-server relationship is created by computer programs running on the respective computers and having a client-server relationship with each other. The server can be a cloud server, also known as a cloud computing server or cloud host, which is a hosting product within the cloud computing service system to address the shortcomings of traditional physical hosts and VPS services, such as high management difficulty and weak business scalability.

[0083] In this embodiment of the invention, a computer program product is also provided, the computer program product including a computer program, which, when executed by a processor, implements the proppant placement design method described in any embodiment of the invention.

[0084] It should be understood that the various forms of processes shown above can be used, with steps reordered, added, or deleted. For example, the steps described in this invention can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution of this invention can be achieved, and this is not limited herein.

[0085] The specific embodiments described above do not constitute a limitation on the scope of protection of this invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this invention should be included within the scope of protection of this invention.

Claims

1. A proppant placement design method, characterized in that, include: During the fracturing operation of the target well, the target site data of the target well is obtained; Determine the target fracture geometry parameters of the target well based on the target site data; The target site data and the target fracture geometry parameters are input into a pre-constructed digital twin model of proppant placement, and the proppant placement design scheme of the target well is determined through the digital twin model of proppant placement.

2. The method according to claim 1, characterized in that, Before inputting the target site data and the target fracture geometry parameters into a pre-constructed proppant placement digital twin model, and determining the proppant placement design scheme for the target well using the proppant placement digital twin model, the process further includes: Obtain sample field data of the sample fractured well, and determine the sample fracture geometry parameters of the sample fractured well based on the sample field data; A multiphysics model of proppant migration within the cracks is constructed based on the geometric parameters of the cracks in the samples; wherein, the multiphysics model is used to simulate the migration, settlement and placement behavior of the proppant in the cracks; A digital twin model of proppant placement is constructed based on the on-site data of the sample, the geometric morphology parameters of the sample crack, and the multiphysics model.

3. The method according to claim 2, characterized in that, Based on the on-site data of the samples, the geometric parameters of the cracks in the samples, and the multiphysics model, a digital twin model of proppant placement is constructed, including: Using the on-site data of the sample and the geometric morphology parameters of the sample fracture as input data for the multiphysics model, a digital twin model of proppant placement is constructed based on a pre-set multi-objective optimization algorithm and the multiphysics model; wherein, the multi-objective optimization algorithm is used to determine the fracturing construction parameters that meet the preset conditions.

4. The method according to claim 3, characterized in that, After constructing the proppant placement digital twin model based on the pre-defined multi-objective optimization algorithm and the multiphysics model, the process also includes: Experimental data on proppant migration and placement within fractures in the sample fractured wells were obtained. The proppant placement digital twin model was updated based on the experimental data.

5. The method according to claim 2, characterized in that, A multiphysics model of proppant migration within the cracks is constructed based on the geometric parameters of the sample cracks, including: A three-dimensional model of the crack was constructed based on several morphological parameters of the sample crack. Using the three-dimensional crack model as the boundary condition of the domain, a fluid field model and a particle dynamics model are constructed. The fluid field model and the particle dynamics model are coupled and correlated to form a multiphysics model of proppant transport within the crack.

6. The method according to any one of claims 1-5, characterized in that, The target site data includes geological feature data, proppant performance data, and pumping correlation data.

7. A proppant placement design device, characterized in that, include: The target site data acquisition module is used to acquire the target site data of the target well during the fracturing operation of the target well; The target fracture geometry parameter determination module is used to determine the target fracture geometry parameters of the target well based on the target field data. The proppant placement design scheme determination module is used to input the target field data and the target fracture geometry parameters into a pre-constructed proppant placement digital twin model, and determine the proppant placement design scheme of the target well through the proppant placement digital twin model.

8. 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 a computer program that can be executed by the at least one processor to enable the at least one processor to perform the proppant placement design method according to any one of claims 1-6.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions that, when executed by a processor, implement the proppant placement design method according to any one of claims 1-6.

10. A computer program product, characterized in that, The computer program product includes a computer program that, when executed by a processor, implements the proppant placement design method according to any one of claims 1-6.

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