Shale alternating load and multi-field coupling simulation analysis platform and method

Abstract

The invention provides a shale alternating load and multi-field coupling simulation analysis platform and method, and belongs to the technical field of shale alternating load and multi-field coupling simulation analysis. The shale alternating load and multi-field coupling simulation analysis platform comprises a data acquisition module, a real-time monitoring module, a main control module, an alternating load simulation module, a multi-field coupling simulation module, a data analysis processing module, a cloud storage module and a display module. According to the shale alternating load and multi-field coupling simulation analysis method, a multi-field coupling simulation module, a real-time monitoring module, a data analysis processing module and the like are integrated, and the behavior of shale under the complex geological conditions and the alternating load effect can be more comprehensively analyzed. According to the invention, the maximum stress distribution, strain accumulation and fatigue life of shale under periodic bending alternating load can be accurately predicted through the alternating load simulation module; various shale data analysis methods and algorithms are integrated through the data analysis processing module, and efficient processing of experimental shale data is achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of shale alternating load and multi-field coupling simulation analysis, and in particular to a shale alternating load and multi-field coupling simulation analysis platform and method. Background Art

[0002] Rock mechanics is a discipline that studies the mechanical behavior of rocks, such as deformation, failure, and stability, under stress. In shale gas extraction and other projects, shale is the main reservoir rock, and its mechanical properties have an important impact on the stability and safety of the project. The alternating load behavior of shale refers to the mechanical response and deformation characteristics of shale under cyclic stress or alternating stress. This alternating load behavior is crucial for understanding reservoir response, wellbore stability, and fracturing propagation during shale gas extraction. Seepage mechanics is a discipline that studies the flow laws of fluids in porous media. In shale gas extraction, shale is a typical porous medium, in which pores and cracks constitute channels for fluid flow. The research content of seepage mechanics includes the flow laws of fluids, changes in permeability, and interactions between multiphase fluids. These studies are of great significance for understanding fluid migration, reservoir pressure, and production capacity assessment during shale gas extraction.

[0003] The 3D digital core simulation platform is mainly aimed at 3D reconstruction of rock pore structure and fluid flow simulation. The platform uses CT scanning technology to obtain the internal structure information of rock samples, reconstructs the 3D digital model of the rock through image processing and 3D visualization technology, and simulates the flow behavior of fluid in the rock pores on this basis to study the physical properties of the rock such as permeability.

[0004] Technical problems existing in existing technologies:

[0005] 1) Single physical field simulation: Existing technologies mainly focus on fluid flow simulation, i.e. permeability research, and rarely consider the influence of other physical fields such as temperature and stress. This results in the inability to fully evaluate rock behavior under the coupling of complex physical fields in practical applications, such as unconventional oil and gas reservoir development.

[0006] 2) Limitations of the simulation environment: Although the three-dimensional digital core simulation platform can simulate the flow of fluids in pores well, it has limited ability to couple the mechanical behavior and seepage characteristics of rocks under complex geological stress conditions. It has significant limitations in dealing with complex geological conditions, multi-physical field coupling effects, and real-time monitoring and data integration. This limitation reduces the practicality and accuracy of the simulation results.

[0007] 3) Insufficient data integration capabilities: In complex engineering applications such as shale mining, it is necessary to comprehensively utilize various types of experimental data and field monitoring data. Existing technologies are weak in real-time data collection and processing, as well as multi-source data integration, which affects the comprehensiveness and reliability of simulation results.

[0008] 4) Lack of high-order interaction analysis: The existing technology focuses on the simulation of basic physical processes. The simulation and analysis capabilities of high-order interactions (such as fracture propagation, interaction between shale layers, etc.) in unconventional rock materials such as shale are insufficient, which limits its application in complex geological conditions. Summary of the invention

[0009] In view of this, the present invention aims to propose a shale alternating load and multi-field coupling simulation analysis platform and method, which can more comprehensively analyze the behavior of shale under complex geological conditions and alternating loads, improve the accuracy and efficiency of shale alternating load and multi-field coupling simulation analysis, and provide a more accurate and efficient scientific basis for shale gas extraction and related projects.

[0010] To achieve the above-mentioned purpose, the technical solution of the present invention is implemented as follows: a shale alternating load and multi-field coupling simulation and analysis platform, comprising a data acquisition module, a real-time monitoring module, a main control module, an alternating load simulation module, a multi-field coupling simulation module, a data analysis and processing module, a cloud storage module and a display module; the main control module is respectively connected to the data acquisition module, the real-time monitoring module, the alternating load simulation module, the multi-field coupling simulation module, the data analysis and processing module, the cloud storage module and the display module;

[0011] The data acquisition module collects data on key parameters such as deformation, stress distribution, and seepage characteristics from shale samples in real time, and transmits these data to the main control module through a preset data interface;

[0012] The real-time monitoring module is equipped with a variety of sensors and monitoring equipment. The real-time monitoring module continuously monitors the state changes of shale samples through the various sensors and monitoring equipment, and sends the monitoring data to the main control module through a high-speed data transmission channel;

[0013] The alternating load simulation module applies various forms of alternating loads through a servo control system or an electric control system according to a preset alternating load mode; at the same time, the module records the data during the load application process in real time and sends it to the main control module;

[0014] The multi-field coupling simulation module uses numerical simulation methods to simulate the behavior of shale under alternating loads; the experimental data generated during the simulation is transmitted to the main control module through a dedicated data channel;

[0015] After receiving the experimental data forwarded by the main control module, the data analysis and processing module processes the data through integrated data analysis methods and algorithms; the processed data includes the mechanical properties, damage evolution and permeability change information of shale, and these results are stored in the cloud storage module;

[0016] The cloud storage module securely stores the processed data through the cloud server and provides remote access and management functions; users can access the data through the Internet for further analysis or sharing;

[0017] The display module receives processed data from the main control module and uses graphical user interface technology and visualization algorithms to intuitively display the simulation results; users can monitor the simulation process and results in real time through the display module.

[0018] Furthermore, the data acquisition module is used to collect experimental data during the shale alternating load and multi-field coupling simulation, including deformation, stress distribution and seepage characteristics, which are calculated by applying the formulas \(\Delta L=L_0\times\varepsilon\) and \(\sigma=\frac{F}{A}\);

[0019] Real-time monitoring module, which monitors the key parameters of shale samples in real time and performs smoothing through Kalman filtering algorithm or sliding average algorithm;

[0020] The main control module is used to control the normal operation of each module, and realizes coordination and control through Python or C++ programming language;

[0021] The alternating load simulation module applies various forms of alternating loads by programming and controlling the load application device, and simulates the complex stress state in the actual formation according to the formula \(F(t)=F_0+F_1\sin(\omega t+\varphi)\);

[0022] The multi-field coupling simulation module uses numerical simulation methods such as finite element analysis or finite difference method to comprehensively consider multi-field factors such as temperature, stress, and seepage, establish a mathematical model of shale behavior and solve it;

[0023] The data analysis and processing module processes the experimental data by integrating multiple data analysis methods and algorithms to extract the mechanical properties, damage evolution and permeability change information of shale;

[0024] The cloud storage module uses cloud storage services to upload simulation data to the cloud for storage, and uses technologies such as RESTful API or GraphQL to enable remote access and management of data;

[0025] The display module uses graphical user interface technology and combines graphics libraries such as matplotlib and plotly to display simulation results, including deformation graphs, stress cloud graphs, and seepage field graphs.

[0026] Furthermore, the simulation method of the alternating load simulation module includes:

[0027] S101, create a simplified shale model using finite element analysis software; set the geometric dimensions and material properties of the shale;

[0028] S102, applying a sinusoidal bending moment as an alternating load at one end of the shale; setting boundary conditions and initial conditions;

[0029] S103, appropriately mesh the shale model to ensure sufficient mesh density in the bending area to capture stress concentration phenomena;

[0030] S104, discretizing the model using the finite element method and setting an appropriate time step for dynamic simulation; iteratively calculating the displacement, stress, and strain response of the shale;

[0031] Generate time-varying stress and displacement cloud diagrams to visualize the behavior of shale under alternating loads.

[0032] Furthermore, setting boundary conditions and initial conditions includes:

[0033] The other end of the shale where no alternating load is applied is set as a fixed constraint, i.e., no displacement;

[0034] Initially, the shale is in a stress-free state.

[0035] Furthermore, the analysis and processing method of the data analysis and processing module includes:

[0036] S201, obtaining original shale data from the experimental equipment, the shale data including signals of displacement, stress, strain, temperature, pressure, and permeability changing with time;

[0037] S202, cleaning and preprocessing the original shale data, removing outliers, noise and trend items, and ensuring the quality of shale data; shale data integration and fusion;

[0038] S203, using time domain analysis, frequency domain analysis, and wavelet analysis methods to extract key features from shale data, including peak stress, elastic modulus, yield point, and damage initiation point; based on the extracted features, selecting a suitable machine learning algorithm to establish an analysis and prediction model;

[0039] S204, using historical experimental shale data to train the model and adjust the model parameters to achieve optimal analysis and prediction performance.

[0040] Furthermore, the shale data integration and fusion includes:

[0041] Integrate shale data from different experimental equipment and different physical fields to form a unified shale data set;

[0042] Shale data fusion technology, including Kalman filtering and principal component analysis, is used to fuse shale data from different sources.

[0043] A shale alternating load and multi-field coupling simulation analysis method implementing the above-mentioned shale alternating load and multi-field coupling simulation analysis platform comprises:

[0044] Step 1: Collect experimental data in the shale alternating load and multi-field coupling simulation process through the data acquisition module; equip the real-time monitoring module with a variety of sensors and monitoring equipment to monitor the key parameters of shale samples, such as deformation, stress distribution, and seepage characteristics, in real time;

[0045] Step 2: The main control module applies various forms of alternating loads through the alternating load simulation module to simulate the complex stress state of shale in the actual formation;

[0046] Step 3: Use numerical simulation methods through the multi-field coupling simulation module to comprehensively consider multi-field factors such as temperature, stress, and seepage to simulate the behavior of shale under alternating loads;

[0047] Step 4: Utilize the characteristics, damage evolution and permeability change information through the data analysis and processing module;

[0048] Step 5: Use the cloud storage module to store the simulation data in the cloud using the cloud server; and display the simulation results through the display module.

[0049] Compared with the prior art, the shale alternating load and multi-field coupling simulation analysis platform and method described in the present invention has the following advantages:

[0050] (1) The present invention integrates modules such as multi-field coupling simulation, real-time monitoring, and data analysis and processing to more comprehensively analyze the behavior of shale under complex geological conditions and alternating loads, providing a scientific basis and technical support for the efficient development of shale gas reservoirs, thereby solving technical problems that cannot be overcome by existing technologies;

[0051] (2) The present invention constructs a shale alternating load and multi-field coupling simulation and analysis platform, which integrates advanced simulation technology, high-precision loading and comprehensive data analysis tools, aiming to comprehensively analyze the mechanical response and failure mechanism of shale in complex geological environments. This platform can not only be used for basic mechanics research on shale, but also provide technical support and decision-making basis for shale gas extraction, shale engineering stability assessment, etc., which is of great significance for promoting the development and utilization of shale resources;

[0052] (3) The present invention can accurately predict the maximum stress distribution, strain accumulation and fatigue life of shale under periodic bending alternating loads through the alternating load simulation module; this is very important for evaluating the reliability and durability of shale; at the same time, through the data analysis and processing module, a variety of shale data analysis methods and algorithms are integrated, and the platform can realize efficient processing of experimental shale data and quickly extract key characteristic information of shale; using machine learning algorithms to establish a prediction model, it can realize accurate prediction of shale mechanical properties, damage evolution and permeability changes, and provide a reliable basis for related research and engineering applications;

[0053] (4) The present invention is based on a shale alternating load and multi-field coupling simulation and analysis platform with significant technological progress. The platform integrates advanced sensor technology, real-time monitoring technology, numerical simulation methods, data processing algorithms, and cloud storage and visualization technology to achieve high-precision and high-efficiency simulation and analysis of shale under complex alternating loads and multi-field coupling.

[0054] Specifically, the platform uses high-precision sensors to collect deformation, stress distribution and seepage characteristics data of shale samples in real time, and smoothes these data through the real-time monitoring module to reduce noise interference; the main control module uses advanced programming languages ​​and parallel processing technology to achieve efficient coordination and control of various modules; the alternating load simulation module can accurately simulate the complex stress state in the actual formation, providing higher-precision data support for shale alternating load simulation; the multi-field coupling simulation module uses advanced numerical simulation methods, comprehensively considering multiple field factors such as temperature, stress, and seepage, and providing a more comprehensive analysis for shale behavior simulation; the data analysis and processing module integrates a variety of advanced data analysis methods and algorithms, and can extract shale mechanical properties, damage evolution and permeability change information from massive experimental data, providing a more accurate scientific basis for shale gas extraction and related projects; the cloud storage module uses efficient cloud storage services to achieve remote access and management of simulation data, improving data security and reliability; the display module uses advanced graphical user interface technology and visualization algorithms to intuitively display simulation results, providing users with a more intuitive and convenient analysis tool. In summary, through significant technological advances, this platform has improved the accuracy and efficiency of shale alternating load and multi-field coupling simulation analysis, providing a more accurate and efficient scientific basis for shale gas extraction and related projects. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] The accompanying drawings constituting a part of the present invention are used to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the accompanying drawings:

[0056] Figure 1 It is a structural block diagram of a shale alternating load and multi-field coupling simulation analysis platform provided by an embodiment of the present invention.

[0057] Figure 2 It is a flow chart of the simulation method of the alternating load simulation module provided by an embodiment of the present invention.

[0058] Figure 3 It is a flow chart of the data analysis and processing module analysis and processing method provided by an embodiment of the present invention.

[0059] Figure 4 It is a flow chart of a shale alternating load and multi-field coupling simulation analysis method provided by an embodiment of the present invention.

[0060] Description of reference numerals:

[0061] 1. Data acquisition module; 2. Real-time monitoring module; 3. Main control module; 4. Alternating load simulation module; 5. Multi-field coupling simulation module; 6. Data analysis and processing module; 7. Cloud storage module; 8. Display module. DETAILED DESCRIPTION

[0062] It should be noted that, in the absence of conflict, the embodiments of the present invention and the features in the embodiments may be combined with each other.

[0063] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0064] The data and signal processing process of the shale alternating load and multi-field coupling simulation analysis platform provided by the present invention is as follows:

[0065] The data acquisition module 1 collects data of key parameters such as deformation, stress distribution, and seepage characteristics from the shale sample in real time, and transmits these data to the main control module 3 through a preset data interface;

[0066] Real-time monitoring module 2: Real-time monitoring module 2 continuously monitors the state changes of shale samples through various sensors and monitoring equipment, and sends the monitoring data to main control module 3 through a high-speed data transmission channel; after receiving these data, main control module 3 uses Kalman filter algorithm or sliding average algorithm to pre-process the data to reduce noise and interference;

[0067] The alternating load simulation module 4 applies various forms of alternating loads through a servo control system or an electric control system according to a preset alternating load mode; at the same time, the module records the data during the load application process in real time and sends it to the main control module 3;

[0068] The multi-field coupling simulation module 5 uses advanced numerical simulation methods, such as finite element analysis or finite difference method, to comprehensively consider multi-field factors such as temperature, stress, seepage, etc., to simulate the behavior of shale under the action of alternating loads; the experimental data generated during the simulation process is transmitted to the main control module 3 through a dedicated data channel;

[0069] After receiving the experimental data forwarded by the main control module 3, the data analysis and processing module 6 processes the data efficiently through integrated data analysis methods and algorithms, such as regression analysis, neural network, SVM, etc. The processed data includes the mechanical properties, damage evolution and permeability change information of shale, and these results are stored in the cloud storage module 7;

[0070] The cloud storage module 7 stores the simulation data securely through the cloud server and provides remote access and management functions; users can access the data through the Internet for further analysis or sharing;

[0071] The display module 8 receives the processed data from the main control module 3, and uses graphical user interface technology and visualization algorithms, such as 3D rendering, dynamic charts, etc., to intuitively display the simulation results; the user can monitor the simulation process and results in real time through the display module 8.

[0072] The data and signal processing process of the platform realizes the efficient collection, transmission, processing, storage and display of data in the process of shale alternating load and multi-field coupling simulation, providing an accurate and reliable scientific basis for shale gas extraction and related projects. The shale alternating load and multi-field coupling simulation analysis platform is a highly integrated system designed to simulate the behavior of shale in complex underground environments. The data acquisition module 1 of the platform is connected to various sensors to collect experimental data of shale samples, such as stress, strain and temperature, in real time. Various sensors are existing technologies. At the same time, the real-time monitoring module 2 is equipped with a variety of sensors and monitoring equipment to track the deformation, stress distribution and seepage characteristics of shale samples in real time, ensuring the accuracy of the data and the real-time nature of the experiment.

[0073] The main control module 3 is the brain of the entire system, responsible for coordinating the operation of each module. Receiving instructions through the user interface, the main control module 3 controls the alternating load simulation module 4 to apply dynamic loads that simulate the complex stress state of the formation, and manages the multi-field coupling simulation module 5, which uses advanced numerical methods to simulate the interaction of temperature, stress and fluid flow. This coupled simulation helps scientists better understand the behavior of shale in the underground environment.

[0074] The data analysis and processing module 6 receives the information obtained from the data acquisition and real-time monitoring module 2, and uses a variety of data analysis methods and algorithms to deeply process the information. The goal of this module is to extract valuable information from complex data, including the mechanical properties of shale, damage evolution process and permeability changes. This module is crucial to understanding the physical properties of shale and its behavior patterns under different conditions.

[0075] Subsequently, all the data obtained from simulation and analysis are uploaded to the cloud server through the cloud storage module 7 for long-term data storage and remote access. Through the display module 8, users can intuitively view the simulation results, which are presented in the form of charts, curves or 3D models, making the analysis results easy to understand and interpret. The platform provides strong technical support for the research and application of shale by simulating the proximity of the actual environment.

[0076] Based on the specific implementation of the shale alternating load and multi-field coupling simulation analysis platform provided by the present invention, the following are two specific embodiments, which demonstrate the application of the platform in different research directions.

[0077] Application Example 1: Shale Fracturing Process Simulation

[0078] In the development of unconventional oil and gas, fracturing technology is one of the key technologies to improve shale gas recovery. By simulating the mechanical behavior and crack expansion path of shale during fracturing, the fracturing design can be optimized and the oil and gas production can be increased.

[0079] 1) Data collection: Collect basic physical and mechanical parameters of shale samples, such as density, elastic modulus, etc.

[0080] 2) Real-time monitoring: During the experiment, sensors are used to monitor the deformation and stress distribution of shale samples at different fracturing stages in real time.

[0081] 3) Alternating load simulation: The alternating load simulation module 4 is used to apply simulated formation pressure and fracturing fluid pressure to simulate the actual fracturing process.

[0082] 4) Multi-field coupling simulation: Multi-field coupling simulation module 5 is used to simulate the expansion path of fractures in shale by comprehensively considering factors such as temperature, pressure, and fluid seepage.

[0083] 5) Data analysis and processing: Analyze data such as fracture extension path and seepage characteristics to evaluate the fracturing effect and changes in shale permeability.

[0084] 6) Result display: The simulation result of the crack expansion during the fracturing process is displayed in a three-dimensional graphic through the display module 8.

[0085] Application Example 2: Study on the coupled behavior of shale temperature, stress and seepage

[0086] During the shale mining process, the interaction between temperature change, stress state and fluid seepage has a significant impact on the mechanical properties and permeability of shale. Studying this coupling behavior is of great significance for understanding the mining mechanism of shale and optimizing mining strategies.

[0087] 1) Data collection: Conduct preliminary physical property measurements on shale samples to obtain basic data such as temperature, stress, and permeability.

[0088] 2) Real-time monitoring: During the heating and loading experiments, the temperature changes, stress state and seepage characteristics of the shale samples are monitored in real time.

[0089] 3) Alternating load simulation: simulate the temperature changes and complex stress states in the underground environment and apply corresponding alternating loads.

[0090] 4) Multi-field coupling simulation: Through the multi-field coupling simulation module 5, a temperature-stress-seepage coupling model is constructed to simulate the behavior of shale in complex environments.

[0091] 5) Data analysis and processing: Analyze shale deformation, damage evolution and permeability changes under coupling to reveal the coupling mechanism.

[0092] 6) Result display: The results of the coupling simulation are displayed in the form of graphics and animation to intuitively reflect the behavioral characteristics of shale under coupling.

[0093] These two examples demonstrate the application of the shale alternating load and multi-field coupling simulation analysis platform in the optimization of shale fracturing technology and the study of temperature-stress-seepage coupling behavior, reflecting the important value of the platform for shale mining research and engineering applications.

[0094] Based on the description of the shale alternating load and multi-field coupling simulation analysis platform provided by the present invention, the following are two specific embodiments, which demonstrate the practicality and effectiveness of the platform in different application scenarios.

[0095] Example 3: Simulation of shale gas reservoir development process

[0096] In the development of shale gas reservoirs, understanding the mechanical behavior and permeability changes of shale under different working conditions is crucial to optimizing production strategies and improving gas reservoir development efficiency.

[0097] 1) Data acquisition module 1: Measure the basic physical properties of shale samples in the laboratory and collect basic data of the samples.

[0098] 2) Real-time monitoring module 2: Through the installation of multiple sensors on the shale samples, the deformation, stress distribution and seepage characteristics of the samples during the simulated mining process are monitored in real time.

[0099] 3) Alternating load simulation module 4: According to the actual formation pressure and artificial fracturing process, simulated alternating loads are applied to simulate the complex stress state of shale deep underground.

[0100] 4) Multi-field coupling simulation module 5: Comprehensively consider factors such as temperature, stress, seepage, etc., and conduct detailed simulation of the behavior of shale under simulated mining conditions.

[0101] 5) Data analysis and processing module 6: Analyze and process experimental data to extract the mechanical properties, damage evolution laws and permeability changes of shale.

[0102] 6) Cloud storage module 7: Upload simulation data to the cloud server to facilitate remote access and sharing of data.

[0103] 7) Display module 8: Display simulation results through charts and animations to intuitively reflect the behavioral characteristics of shale during the mining process.

[0104] Example 4: Study on shale compressive strength and crack extension

[0105] Studying the compressive strength and fracture propagation mechanism of shale is of great significance for evaluating the developability of shale oil and gas reservoirs and designing reasonable fracturing schemes.

[0106] 1) Data acquisition module 1: Perform a predictive test on the compressive strength of the selected shale samples and collect initial mechanical parameters.

[0107] 2) Real-time monitoring module 2: During the process of applying pressure, the deformation of the shale sample and the generation and expansion of cracks are monitored in real time.

[0108] 3) Alternating load simulation module 4: simulates loads of different directions and magnitudes acting on shale samples to study their effects on the generation and propagation of cracks.

[0109] 4) Multi-field coupling simulation module 5: Using numerical simulation methods, considering the coupling effect of multi-field factors, the expansion path and speed of the crack are predicted.

[0110] 5) Data analysis and processing module 6: Analyze the experimental and simulation data, extract the laws of crack extension, and evaluate the compressive strength and crack extension sensitivity of shale.

[0111] 6) Cloud storage module 7: All relevant data and simulation results are stored in the cloud for subsequent analysis and comparative studies.

[0112] 7) Display module 8: Display the simulation results of fracture extension in the form of three-dimensional graphics, intuitively presenting the fracture extension behavior of shale under different conditions.

[0113] These two examples demonstrate the application of the shale alternating load and multi-field coupling simulation analysis platform in shale gas reservoir development and shale mechanical properties research, reflecting the practicality and effectiveness of the platform in shale research and engineering applications.

[0114] like Figure 1 As shown, the present invention is a shale alternating load and multi-field coupling simulation and analysis platform, comprising a data acquisition module 1, a real-time monitoring module 2, a main control module 3, an alternating load simulation module 4, a multi-field coupling simulation module 5, a data analysis and processing module 6, a cloud storage module 7 and a display module 8;

[0115] Among them, the data acquisition module 1 is connected to the main control module 3 and is used to collect experimental data in the shale alternating load and multi-field coupling simulation process;

[0116] The real-time monitoring module 2 is connected to the main control module 3 and is used to be equipped with a variety of sensors and monitoring equipment to monitor the key parameters of the shale sample in real time;

[0117] The main control module 3 is respectively connected with the data acquisition module 1, the real-time monitoring module 2, the alternating load simulation module 4, the multi-field coupling simulation module 5, the data analysis and processing module 6, the cloud storage module 7, and the display module 8, and is used to control the normal operation of each module;

[0118] The alternating load simulation module 4 is connected to the main control module 3 and is used to apply various forms of alternating loads to simulate the complex stress state of shale in the actual formation;

[0119] The multi-field coupling simulation module 5 is connected to the main control module 3 and is used to simulate the behavior of shale under alternating loads by using advanced numerical simulation methods and comprehensively considering multi-field factors such as temperature, stress, and seepage;

[0120] The data analysis and processing module 6 is connected to the main control module 3 and is used to efficiently process the experimental data by integrating multiple data analysis methods and algorithms to extract the mechanical properties, damage evolution and permeability change information of the shale;

[0121] A cloud storage module 7, connected to the main control module 3, is used to store the simulation data in the cloud through a cloud server;

[0122] The display module 8 is connected to the main control module 3 and is used to display the simulation results. This platform realizes the comprehensive simulation and analysis of shale under the action of alternating load and multi-field coupling, providing a scientific basis for shale gas exploitation and related projects.

[0123] To realize the above-mentioned shale alternating load and multi-field coupling simulation analysis platform, it is necessary to combine mathematical formulas, algorithms and engineering simulation technology. The following is a detailed description of each module.

[0124] 1) Data acquisition module 1:

[0125] Sensors and measuring equipment (such as pressure sensors, displacement sensors, seepage meters, etc.) are used to collect experimental data such as deformation, stress distribution, and seepage characteristics of shale samples under alternating loads.

[0126] Mathematical formula:

[0127] The deformation calculation formula is: \(\Delta L=L_0\times\varepsilon\) where \(\Delta L\) is the deformation, \(L_0\) is the original length, and \(\varepsilon\) is the strain.

[0128] Stress calculation formula: \(\sigma=\frac{F}{A}\) where \(\sigma\) is stress, \(F\) is force, and \(A\) is the stressed area.

[0129] 2) Real-time monitoring module 2:

[0130] Equipped with a variety of sensors and monitoring equipment, the monitored data is sent to the main control module 3 through real-time data collection and transmission technology.

[0131] Algorithm: Kalman filtering algorithm or sliding average algorithm can be used to smooth the real-time monitoring data to reduce noise interference.

[0132] 3) Main control module 3:

[0133] A high-performance computer or server is used as the main control module 3 to control the workflow and data transmission of each module through programming and algorithms.

[0134] Programming implementation: Use programming languages ​​such as Python and C++, combined with multi-threading or asynchronous processing technology, to achieve coordination and control between various modules.

[0135] 4) Alternating load simulation module 4:

[0136] A servo control system or an electric control system is used to control the load applying device through programming to apply various forms of alternating loads.

[0137] Mathematical formula: The alternating load can be expressed as \(F(t)=F_0+F_1\sin(\omega t+\varphi)\) where \(F(t)\) is the load that changes with time, \(F_0\) is the mean, \(F_1\) is the amplitude, \(\omega\) is the angular frequency, and \(\varphi\) is the initial phase angle.

[0138] 5) Multi-field coupling simulation module 5:

[0139] Using numerical simulation methods such as finite element analysis (FEA) or finite difference method (FDM), multi-field factors such as temperature, stress, and seepage are comprehensively considered to establish a mathematical model of shale behavior, and the model is solved by calculation.

[0140] Mathematical formula: The multi-field coupling model involves complex partial differential equations, such as the seepage equation, heat conduction equation, stress balance equation, etc.

[0141] 6) Data analysis and processing module 6:

[0142] Data analysis tools (such as Python's Pandas and NumPy libraries) and algorithms (such as regression analysis and neural networks) are used to process the experimental data and extract information on the mechanical properties, damage evolution, and permeability changes of shale.

[0143] Algorithms: Machine learning algorithms such as support vector machine (SVM), random forest, etc. can be used to classify and predict the processed data.

[0144] 7) Cloud storage module 7:

[0145] Use cloud storage services (such as AWS S3, Alibaba Cloud OSS, etc.) to upload simulation data to the cloud for storage, and remote access and management of data can be achieved through APIs.

[0146] Use technologies such as RESTful API or GraphQL to implement operations such as adding, deleting, modifying and querying cloud storage data.

[0147] 8) Display module 8:

[0148] Use Graphical User Interface (GUI) technologies such as Qt, Tkinter, etc. to develop user-friendly interfaces for displaying simulation results.

[0149] Visualization: Graphics libraries (such as matplotlib, plotly, etc.) can be used to draw deformation graphs, stress cloud graphs, seepage field graphs, etc. to intuitively display the simulation results.

[0150] To realize this shale alternating load and multi-field coupling simulation and analysis platform, it is necessary to comprehensively apply sensor technology, real-time monitoring technology, numerical simulation technology, data processing technology, cloud storage technology and visualization technology, etc. At the same time, it is necessary to select appropriate mathematical formulas and algorithms according to specific needs and technical conditions to ensure the accuracy and reliability of simulation analysis.

[0151] like Figure 2 As shown, the simulation method of the alternating load simulation module 4 provided in the embodiment of the present invention is as follows:

[0152] S101, create a simplified shale model using finite element analysis software; set the geometric dimensions and material properties of the shale;

[0153] S102, applying a sinusoidal bending moment as an alternating load at one end of the shale; setting boundary conditions and initial conditions;

[0154] S103, appropriately mesh the shale model to ensure sufficient mesh density in the bending area to capture stress concentration phenomena;

[0155] S104, discretizing the model using the finite element method and setting an appropriate time step for dynamic simulation; iteratively calculating the displacement, stress, and strain response of the shale;

[0156] Generate time-varying stress and displacement cloud diagrams to visualize the behavior of shale under alternating loads.

[0157] The simulation method of the alternating load simulation module 4 provided in the embodiment of the present invention mainly simulates the mechanical response of shale under the action of alternating load by finite element analysis software. The simulation method involves the steps of creating a geometric model, applying loads, meshing, discretization and dynamic simulation.

[0158] S101: Creating a simplified shale model

[0159] Use of finite element analysis software: Use finite element analysis software such as ANSYS, ABAQUS, etc. to create models.

[0160] Simplified model: Based on the actual geometric shape and structural characteristics of shale, the model is simplified to facilitate calculation while ensuring that it can reasonably reflect the actual situation.

[0161] Set geometric dimensions and material properties: Input the dimensions (length, width, height, etc.) and material properties (elastic modulus, Poisson's ratio, density, tensile strength, etc.) of the shale.

[0162] S102: Apply a sinusoidal bending moment

[0163] Alternating load: A periodically changing sinusoidal bending moment is applied to one end of the model to simulate the cyclic load on shale in reality.

[0164] Set boundary conditions: Set fixed endpoints or boundaries based on actual support conditions, such as fixing the other end of the model or constraining certain degrees of freedom.

[0165] Initial conditions: Set the initial displacement, velocity and other states. If the initial state is considered to be stationary, these initial conditions are usually zero.

[0166] S103: Meshing

[0167] Appropriate mesh density: Ensure that there is sufficient mesh density in the bending area (i.e. the stress concentration area) to more accurately capture the stress distribution and concentration phenomenon.

[0168] Mesh type selection: You can choose quadrilateral / hexahedral elements or triangle / tetrahedral elements for meshing. The former usually has higher computational efficiency when dealing with regular geometries.

[0169] S104: Discretization and Dynamic Simulation

[0170] Finite element method discretization: convert the continuous solid model into a finite number of elements and nodes, and establish a set of relationship equations between node displacement and force.

[0171] Time step setting: Select an appropriate time step for dynamic simulation. The time step needs to be small enough to ensure the accuracy of the calculation while considering the calculation efficiency.

[0172] Iterative calculation: Perform dynamic simulation and iteratively solve the displacement, stress, strain and other responses at each time step.

[0173] Simulate actual working conditions: By applying alternating loads, the conditions of shale in actual working environment are simulated.

[0174] Dynamic response analysis: Analyze the dynamic response of shale under cyclic loading, including the change of displacement, stress and strain over time.

[0175] Stress concentration study: Special attention is paid to the stress concentration effect in the bending area, which is particularly important for studying the fatigue life and fracture mechanism of shale.

[0176] Result evaluation: Finally, the calculation results are evaluated to check whether any stress or strain exceeds the allowable range of the material occurs, providing a theoretical basis and improvement direction for shale design.

[0177] This simulation method provides an effective means to study the mechanical properties of shale under alternating loads, and provides a scientific basis for engineering design and safety assessment. Through simulation analysis, the fatigue life of shale can be predicted, the safety performance under different working conditions can be evaluated, and the application of shale in engineering practice can be guided.

[0178] The alternating load provided by the embodiment of the present invention is:

[0179] The amplitude is 100 Nm, the frequency is 1 Hz and the duration is 1000 seconds.

[0180] The boundary conditions and initial conditions provided in the embodiments of the present invention are as follows:

[0181] The other end of the shale without alternating load is set as a fixed constraint, that is, no displacement.

[0182] Initially, the shale is in a stress-free state.

[0183] like Figure 3 As shown, the analysis and processing method of the data analysis and processing module 6 provided in the embodiment of the present invention is as follows:

[0184] S201, obtaining original shale data from the experimental equipment, the shale data including signals of displacement, stress, strain, temperature, pressure, and permeability changing with time;

[0185] S202, cleaning and preprocessing the original shale data, removing outliers, noise and trend items, and ensuring the quality of shale data; shale data integration and fusion;

[0186] S203, using time domain analysis, frequency domain analysis, and wavelet analysis methods to extract key features from shale data, including peak stress, elastic modulus, yield point, and damage initiation point; based on the extracted features, selecting a suitable machine learning algorithm to establish an analysis and prediction model;

[0187] S204, using historical experimental shale data to train the model and adjust the model parameters to achieve optimal analysis and prediction performance.

[0188] The shale data integration and fusion provided by the embodiment of the present invention are specifically:

[0189] Integrate shale data from different experimental equipment and different physical fields to form a unified shale data set;

[0190] Shale data fusion technology, including Kalman filtering and principal component analysis, is used to fuse shale data from different sources.

[0191] like Figure 4 As shown, an embodiment of the present invention provides a shale alternating load and multi-field coupling simulation analysis method, including:

[0192] Step 1: collect experimental data in the shale alternating load and multi-field coupling simulation process through the data acquisition module 1; equip the real-time monitoring module 2 with a variety of sensors and monitoring equipment to monitor the key parameters of the shale sample in real time, such as deformation, stress distribution, and seepage characteristics;

[0193] Step 2: the main control module 3 applies various forms of alternating loads through the alternating load simulation module 4 to simulate the complex stress state of shale in the actual formation;

[0194] Step 3: Using advanced numerical simulation methods through the multi-field coupling simulation module 5, comprehensively considering multi-field factors such as temperature, stress, and seepage, the behavior of shale under alternating loads is simulated;

[0195] Step 4, using the characteristics, damage evolution and permeability change information through the data analysis and processing module 6;

[0196] Step 5: Use the cloud storage module 7 to store the simulation data in the cloud using the cloud server; and use the display module 8 to display the simulation results.

[0197] The present invention also provides a computer device, which includes a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor executes the steps of the shale alternating load and multi-field coupling simulation analysis method.

[0198] The present invention provides a computer-readable storage medium storing a computer program. When the computer program is executed by a processor, the processor executes the steps of the shale alternating load and multi-field coupling simulation analysis method.

[0199] The present invention provides an information data processing terminal, which is used to realize the shale alternating load and multi-field coupling simulation analysis platform.

[0200] It should be noted that the embodiments of the present invention can be implemented by hardware, software, or a combination of software and hardware. The hardware part can be implemented using dedicated logic; the software part can be stored in a memory and executed by appropriate instructions, such as a microprocessor or dedicated design hardware. It can be understood by a person of ordinary skill in the art that the above-mentioned devices and methods can be implemented using computer executable instructions and / or contained in a processor control code, such as a carrier medium such as a disk, CD or DVD-ROM, a programmable memory such as a read-only memory (firmware), or a data carrier such as an optical or electronic signal carrier. Such code is provided on the carrier medium. The device and its modules of the present invention can be implemented by hardware circuits such as very large-scale integrated circuits or gate arrays, semiconductors such as logic chips, transistors, etc., or programmable hardware devices such as field programmable gate arrays, programmable logic devices, etc., can also be implemented by software executed by various types of processors, and can also be implemented by a combination of the above-mentioned hardware circuits and software, such as firmware.

[0201] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. The protection scope of the present invention is not limited thereto. Any modifications, equivalent substitutions, improvements, etc. made by any technician familiar with the technical field within the technical scope disclosed by the present invention and within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A shale alternating load and multi-field coupling simulation analysis platform, characterized by: The system comprises a data acquisition module (1), a real-time monitoring module (2), a main control module (3), an alternating load simulation module (4), a multi-field coupling simulation module (5), a data analysis and processing module (6), a cloud storage module (7) and a display module (8); the main control module (3) is respectively connected to the data acquisition module (1), the real-time monitoring module (2), the alternating load simulation module (4), the multi-field coupling simulation module (5), the data analysis and processing module (6), the cloud storage module (7) and the display module (8); The data acquisition module (1) collects data of key parameters such as deformation, stress distribution, and seepage characteristics from the shale sample in real time, and transmits the data to the main control module (3) through a preset data interface; The real-time monitoring module (2) is equipped with a variety of sensors and monitoring equipment. The real-time monitoring module (2) continuously monitors the state changes of the shale sample through the various sensors and monitoring equipment, and sends the monitoring data to the main control module (3) through a high-speed data transmission channel; The alternating load simulation module (4) applies various forms of alternating loads through a servo control system or an electric control system according to a preset alternating load mode; at the same time, the module records data during the load application process in real time and sends it to the main control module (3); The multi-field coupling simulation module (5) uses a numerical simulation method to simulate the behavior of shale under the action of alternating loads; the experimental data generated during the simulation process is transmitted to the main control module (3) through a dedicated data channel; After receiving the experimental data forwarded by the main control module (3), the data analysis and processing module (6) processes the data through an integrated data analysis method and algorithm; the processed data includes mechanical properties, damage evolution and permeability change information of shale, and these results are stored in the cloud storage module (7); The cloud storage module (7) securely stores the processed data through a cloud server and provides remote access and management functions; users can access the data through the Internet for further analysis or sharing; The display module (8) receives the processed data from the main control module (3), and uses graphical user interface technology and visualization algorithms to intuitively display the simulation results; the user can monitor the simulation process and results in real time through the display module (8).

2. The shale alternating load and multi-field coupling simulation analysis platform according to claim 1, characterized in that: The data acquisition module (1) is used to collect experimental data in the shale alternating load and multi-field coupling simulation process, including deformation, stress distribution and seepage characteristics, and calculates by applying the formulas \(\Delta L=L_0\times\varepsilon\) and \(\sigma=\frac{F}{A}\); A real-time monitoring module (2) monitors key parameters of the shale sample in real time and performs smoothing processing through a Kalman filter algorithm or a sliding average algorithm; The main control module (3) is used to control the normal operation of each module and realize coordination and control through Python or C++ programming language; The alternating load simulation module (4) applies various forms of alternating loads by programming and controlling the load applying device, and simulates the complex stress state in the actual formation according to the formula \(F(t)=F_0+F_1\sin(\omega t+\varphi)\); The multi-field coupling simulation module (5) uses numerical simulation methods such as finite element analysis or finite difference method to comprehensively consider multi-field factors such as temperature, stress, and seepage, establish a mathematical model of shale behavior and solve it; A data analysis and processing module (6) processes the experimental data by integrating a variety of data analysis methods and algorithms to extract information on the mechanical properties, damage evolution and permeability changes of shale; A cloud storage module (7) uses cloud storage services to upload simulation data to the cloud for storage, and implements remote access and management of data through technologies such as RESTful API or GraphQL; The display module (8) uses graphical user interface technology and combines graphic libraries such as matplotlib and plotly to display simulation results, including deformation diagrams, stress cloud diagrams, and seepage field diagrams.

3. The shale alternating load and multi-field coupling simulation analysis platform according to claim 2 is characterized in that: The simulation method of the alternating load simulation module (4) comprises: S101, create a simplified shale model using finite element analysis software; set the geometric dimensions and material properties of the shale; S102, applying a sinusoidal bending moment as an alternating load at one end of the shale; setting boundary conditions and initial conditions; S103, appropriately mesh the shale model to ensure sufficient mesh density in the bending area to capture stress concentration phenomena; S104, discretizing the model using the finite element method and setting an appropriate time step for dynamic simulation; iteratively calculating the displacement, stress, and strain response of the shale; Generate time-varying stress and displacement cloud diagrams to visualize the behavior of shale under alternating loads.

4. The shale alternating load and multi-field coupling simulation analysis platform according to claim 3 is characterized by: Setting boundary conditions and initial conditions includes: The other end of the shale where no alternating load is applied is set as a fixed constraint, i.e., no displacement; Initially, the shale is in a stress-free state.

5. The shale alternating load and multi-field coupling simulation analysis platform according to claim 1, characterized in that: The analysis and processing method of the data analysis and processing module (6) comprises: S201, obtaining original shale data from the experimental equipment, the shale data including signals of displacement, stress, strain, temperature, pressure, and permeability changing with time; S202, cleaning and preprocessing the original shale data, removing outliers, noise and trend items, and ensuring the quality of shale data; shale data integration and fusion; S203, using time domain analysis, frequency domain analysis, and wavelet analysis methods to extract key features from shale data, including peak stress, elastic modulus, yield point, and damage initiation point; based on the extracted features, selecting a suitable machine learning algorithm to establish an analysis and prediction model; S204, using historical experimental shale data to train the model and adjust the model parameters to achieve optimal analysis and prediction performance.

6. The shale alternating load and multi-field coupling simulation analysis platform according to claim 5, characterized in that: The shale data integration and fusion include: Integrate shale data from different experimental equipment and different physical fields to form a unified shale data set; Shale data fusion technology, including Kalman filtering and principal component analysis, is used to fuse shale data from different sources.

7. A shale alternating load and multi-field coupling simulation analysis method implementing the shale alternating load and multi-field coupling simulation analysis platform as claimed in any one of claims 1 to 6, characterized in that: The shale alternating load and multi-field coupling simulation analysis method includes: Step 1: collect experimental data in the shale alternating load and multi-field coupling simulation process through the data acquisition module (1); and monitor the key parameters such as deformation, stress distribution, and seepage characteristics of the shale sample in real time through the real-time monitoring module (2) equipped with a variety of sensors and monitoring equipment; Step 2: the main control module (3) applies various forms of alternating loads through the alternating load simulation module (4) to simulate the complex stress state of shale in the actual formation; Step 3, using a numerical simulation method through a multi-field coupling simulation module (5), comprehensively considering multi-field factors such as temperature, stress, and seepage, to simulate the behavior of shale under the action of alternating loads; Step 4, using the characteristics, damage evolution and permeability change information through the data analysis and processing module (6); Step 5: Using a cloud storage module (7) to store the simulation data in a cloud server; and using a display module (8) to display the simulation results.

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