180 results about "Seepage field" patented technology

The invention relates to the field of shale oil and gas, and discloses a method for identifying a shale oil and gas reservoir dessert, which comprises the following steps: acquiring a core CT image, three-dimensional seismic data and production dynamic data, and carrying out cross-scale preprocessing; constructing a fractional-order non-local seepage field model to represent nano-to-kilometer-level flow characteristics; predicting seepage field parameters through a Lie group symmetry constrained neural network; establishing a cross-scale coupling model of the quantum adsorption effect and the macroscopic seepage law; dynamically updating model parameters based on real-time monitoring data; and executing multi-target collaborative optimization to generate a sweet spot three-dimensional distribution and development scheme. According to the method, a fractal dimension dynamic constraint cross-scale data fusion technology is adopted, the effect of accurate mapping of nanopore and macroscopic fracture network parameters is achieved, and the problem of misalignment of CT scanning and seismic inversion data space registration is solved through pore communication fractal analysis.

The invention discloses a freezing and thawing stratum grouting numerical analysis modeling method and system, particularly relates to the technical field of hydraulic engineering numerical simulation, and is used for solving the problem of grouting parameter prediction inaccuracy caused by neglecting the dynamic coupling relationship between the thermodynamic behavior of a phase-change material and a seepage field and a damage field in an existing grouting model. A dynamic correlation system of phase change energy storage performance parameters and seepage field-damage evolution is established, a slurry diffusion path priority channel weight is corrected based on a freeze-thaw interface migration track, a bidirectional iteration equation of a seepage field and a diffusion migration field is coupled, and multi-physical field spatial-temporal scale cooperative solution is realized through a separated iteration algorithm; through multi-dimensional coupling of thermodynamic characteristics of the phase-change material, heterogeneous evolution of seepage paths and damage mechanical response, the prediction precision of the mechanical characteristics of the grouting stone body and the slurry diffusion range under the action of freeze-thaw cycle is remarkably improved, and the leakage and structural instability risks are effectively reduced.

The invention provides a multi-mode tailing pond dam break digital twinning emergency deduction and decision optimization method, which comprises the following steps of: firstly, constructing a high-precision three-dimensional scene model, performing simulation calculation on the high-precision three-dimensional tailing pond model based on a finite element model to obtain a dam body stress-strain field, and performing simulation calculation on the dam body stress-strain field based on ANSYS + reinforcement learning. And predicting a dam break probability distribution diagram by using the dam body stress-strain field and the current environment state, generating a rescue scheduling scheme based on the dam break probability distribution diagram and the resource distribution data, building a dynamic virtual deduction scene for exercise, and verifying and optimizing the rescue scheduling scheme according to exercise record data. And a final rescue scheduling scheme is obtained. According to the method, the ANSYS + reinforcement learning hybrid engine is utilized to reinforce the deduction precision, dam break path prediction, optimal resource scheduling and plan self-optimization closed loop are realized, the problems of data fusion distortion, deduction stiffness, decision lag and the like in the traditional technology are solved, and the method is particularly suitable for variable working conditions such as tailing pond seepage field sudden change and extreme weather.

The invention provides a method for evaluating the grouting water control effect of an underground water-sealed cave depot project. The method comprises the steps that firstly, grouting and geological parameters and hydrological monitoring data of a project area are obtained; establishing a three-dimensional seepage-grouting coupling model, and simulating the dynamic state of a seepage field by using a finite element analysis algorithm; then calculating the equivalent permeability change rate of the grouting affected zone based on a simulation result; constructing an evaluation index system, and performing quantitative evaluation by using a fuzzy comprehensive evaluation algorithm; and finally, generating a grouting parameter dynamic adjustment scheme according to an evaluation result. According to the method, scientific and accurate evaluation and engineering optimization of the grouting water control effect can be achieved, and the safety and economical efficiency of engineering are improved.

The invention discloses a dam seepage stability analysis method based on flood forecasting, and relates to the technical field of hydraulic engineering safety monitoring, comprising the following steps: S1, integrating a flood forecasting system and a seepage monitoring system into a data acquisition layer, and acquiring flood forecasting data and seepage monitoring data by a sensor of the data acquisition layer; s2, performing space-time alignment on the flood forecast data and the seepage monitoring data through a space-time coupling interface of the dynamic fusion layer, and generating a dynamic driving variable of a seepage field boundary condition based on a flood routing model and a geographic information system spatial interpolation technology; through the space-time coupling interface, space-time alignment and dynamic driving variable generation of flood forecast data and seepage monitoring data are achieved, the problem that the real-time flood routing process cannot be reflected due to the fact that the boundary condition is static or lagged in traditional analysis is solved, the seepage field calculation boundary condition can be dynamically updated along with flood forecast, and the real-time flood routing process cannot be reflected. And the timeliness and accuracy of model calculation are improved.

The invention provides a dynamic monitoring method for a soil mass seepage field of a power transmission tower slope. According to the method, related data of the slope are acquired through multi-source data acquisition and technologies of pressure sensing and static pressure measurement, displacement monitoring, multi-sensor fusion, Beidou / GPS positioning, resistivity method exploration, soil moisture content monitoring and the like; fusing the collected multi-source data, analyzing the dynamic change of the seepage field by using a risk assessment model and a machine learning algorithm, and predicting the evolution trend of the seepage field; a lightweight model is deployed at a monitoring terminal to realize local rapid processing of data, alarm information is immediately sent out once an abnormal state is monitored, and scientific and reasonable decision support is provided for protection and treatment of a transmission tower slope according to early warning information in combination with a pre-made decision scheme; according to the invention, the accuracy and timeliness of transmission tower slope soil seepage field monitoring can be effectively improved, and the threat of landslide and other disasters to a transmission line is reduced.

The invention discloses a diastrophic stratum deformation analysis and calculation method for an active fault zone, and relates to the technical field of geological engineering calculation, and the method comprises the following steps: (1) constructing a three-field dynamic coupling model based on an energy density gradient, and unifying dimensions of physical parameters of a mechanical field, a seepage field and a temperature field as an energy density function; according to the diastrophic stratum deformation analysis and calculation method for the active fault zone, the problems of multi-physical field splitting and time scale solidification in a traditional method are solved by constructing an energy-mediated multi-field dynamic coupling model and a space-time decoupling algorithm. On the basis of an interaction path of energy density gradient tensor unified mechanics, seepage and temperature fields, instantaneous bidirectional feedback of three-field parameters is achieved, compared with a traditional model, the pore pressure prediction error is reduced, and the calculation efficiency is improved; and meanwhile, the joint simulation efficiency of the second-level seismic event and the ten-thousand-year tectonic motion is improved, the interface parameter continuity error is controlled, and the precision and stability of cross-scale modeling are improved.

The invention provides a rainfall and earthquake coupled slope simulation method and system. The method comprises the following steps: constructing a coupling numerical model through multi-physics field data of a slope; the dynamic coupling effect of rainfall and earthquake is simulated by initializing a seepage field and loading earthquake power; the stability of the simulation result is comprehensively evaluated through iteration of a strength reduction method, and whole-process coupling from seepage to dynamic response of the slope is achieved. SeismoSignal is used for processing seismic waves, and the problem that the value of kinematics parameters is not zero when the seismic action is finished is avoided; the allowable maximum negative pore water pressure boundary is assigned to the slope surface of the side slope, the actual steady-state seepage field of the side slope is restored, and the seepage field in the side slope under different rainfall conditions is accurately calculated; by adopting an unsaturated soil dynamic seepage model for a seepage field, Rayleigh damping is introduced and an earthquake load is applied, so that cross-time scale coupling is realized. The method is simple and convenient to operate, high in calculation efficiency and accurate in calculation result, and has practical significance and value in research of the problem in the rock-soil field.

The invention provides a rock-soil body multi-field coupling intelligent monitoring system comprising a multi-field sensing device configured to monitor parameters of a deformation field, a seepage field, a temperature field and a stress field of a rock-soil body; the edge calculation and transmission device is configured to perform preprocessing and real-time transmission on the multi-field sensing data; and the intelligent decision-making device is configured to analyze the preprocessed data based on a multi-field coupling model and generate disaster early warning information. According to the rock-soil body multi-field coupling monitoring system and method provided by the invention, synchronous monitoring of a deformation field, a seepage field, a temperature field and a stress field is realized through the multi-field sensing device; real-time data processing is performed in combination with an edge calculation and transmission device, and a dynamic early warning mechanism is established by using an intelligent decision-making device, so that the technical problems of multi-field data space-time correlation failure, insufficient multi-source data fusion precision and poor early warning mechanism adaptability are effectively solved, and the geological disaster early warning method has the remarkable advantages of improving the geological disaster early warning accuracy and timeliness.

The invention provides an earth and rockfill dam seepage pressure prediction method based on mechanism and data dual drive, and the method comprises the following steps: generating multi-working-condition seepage pressure data, optimizing a radial basis function neural network through an aurora optimization algorithm, and constructing an efficient proxy model; on the basis of a proxy model prediction result, fitting is carried out by combining measured data, and a seepage pressure prediction mechanism model based on a hysteresis effect function is established; with the predicted value of the mechanism model as a label, supervising the training model to learn the physical law of the seepage field; and freezing the physical feature extraction layer in the trained model, and finely adjusting the time sequence modeling layer by using actually measured data to realize approximation of an actually measured value. According to the method, mechanism driving and data driving are organically combined, the interpretability of a physical rule is reserved, complex factors which are not considered by a mechanism model are complemented by utilizing actually measured data, and the generalization ability of a deep learning model under extreme working conditions is remarkably improved while the prediction precision of the model is ensured.

The invention discloses a penetration discrimination method and system suitable for a double-layer dam foundation, and the method comprises the steps: S1, obtaining the geological parameters of a double-layer dam, and forming a geological parameter set; s2, constructing a seepage numerical model of the double-layer dam foundation, simulating the seepage field distribution condition of the double-layer dam foundation at each grid node, and obtaining seepage field data; s3, grid node seepage force is calculated, and a potential seepage failure area is determined; s4, monitoring pore water pressure and seepage flow changes of the preset monitoring points in the potential seepage failure area; s5, constructing a seepage failure judgment model, and outputting a seepage judgment result; and S6, performing grading processing according to the judgment result of seepage failure, and outputting grade seepage early warning information through a seepage grading model. According to the method, judgment, real-time monitoring and graded early warning of seepage damage of the double-layer dam foundation are achieved, and the safety of the heterogeneous double-layer dam is guaranteed.

The invention provides a deep rock mass creep-seepage coupled near-field dynamics simulation method and system, and relates to the technical field of geotechnical engineering.The method comprises the steps that a near-field dynamics numerical calculation model is established based on geological survey data; based on the Burgers creep constitutive model, a near-field dynamic creep-seepage coupling basic motion equation is formed; and carrying out rock mass creep process simulation considering the seepage effect by utilizing the near-field dynamics numerical calculation model and the creep-seepage coupling basic motion equation, and carrying out iterative solution on stress, strain, displacement, water pressure and damage of each time step in the simulation process until iteration stop conditions are met, so as to obtain the rock mass creep process. And finally, obtaining distribution characteristics of a rock mass displacement field, a damage field and a seepage field and a creep characteristic curve, and realizing near-field dynamic simulation of a rock mass creep-seepage coupling process. According to the method, the technical blank of near-field dynamics in the field is filled, and the long-term stability of the engineering rock mass and the disaster evolution process are accurately reproduced and predicted.

The invention discloses an earth and rockfill dam material seepage deformation inspection system and method, and relates to the technical field of earth and rockfill dam engineering.The method comprises the steps that a sample of an earth and rockfill dam material is prepared and arranged in a test cavity of a permeameter; maintaining a steady-state seepage field in the sample; in the maintaining process of the steady-state seepage field, acoustic response signals and thermal response signals excited in the sample due to the seepage effect are synchronously collected through a distributed sensing system arranged around the sample; analyzing the acquired acoustic response signal and thermal response signal, and identifying and positioning an acoustic abnormal area with abnormal sound energy release and a thermal abnormal area with abnormal thermal change; and after the early warning signal is generated, the spatial and temporal distribution characteristics of the acoustic abnormal region and the thermal abnormal region are used as input, a parameter distribution field representing the damage evolution of the microstructure in the sample is calculated through a coupled physical inversion algorithm, and the permeability stability of the sample is evaluated based on the parameter distribution field.

The invention relates to the technical field of construction optimization, in particular to a deep underground engineering construction optimization method and system based on an intelligent support system. According to the technical scheme, stress field, seepage field and deformation field data of surrounding rock are collected in real time; constructing a digital twinborn model, and dynamically updating model parameters; adopting a multi-objective genetic algorithm to optimize support parameters; and executing adaptive control. According to the method, the stress field, seepage field and deformation field data of the surrounding rock are collected in real time through the multi-physics field sensing network, the state change of the surrounding rock can be timely and accurately monitored, meanwhile, the model parameters are dynamically updated so that the model can more accurately reflect the actual situation of the surrounding rock, and the real-time performance of the surrounding rock is improved. And through jet control and anchor rod compensation in self-adaptive control, support parameters can be adjusted in real time according to the actual condition of the surrounding rock, the reliability of a support structure is improved, the stability of the surrounding rock is enhanced, and the safety risk in the construction process is reduced, so that the construction safety is improved.

The invention relates to the technical field of geomechanical simulation of tunnel engineering, in particular to a tunnel surrounding rock water immersion weakening fluid-solid coupling simulation method and system.The method comprises the steps that mechanical parameters and seepage parameters of typical tunnel surrounding rock materials are obtained, and then an evolution equation of water immersion equivalent strain along with time is constructed; constructing a water immersion equivalent strain-seepage parameter dynamic correlation model based on the evolution equation and the seepage parameters; a seepage-stress coupling elastic-plastic damage constitutive model is constructed on the basis of a water immersion equivalent strain dynamic evolution model, and coupling circulation of a seepage-stress-damage field under the influence of water immersion degradation is represented on the basis of the seepage-stress coupling elastic-plastic damage constitutive model. The technical blank that bidirectional strong coupling of a seepage field and a mechanical field under water immersion response cannot be realized in the prior art is filled, and a high-precision simulation technical scheme is provided for stability analysis of tunnel surrounding rock in a water-rich environment.

The invention discloses a method for analyzing the influence of a rock mass multi-scale structure on deep geothermal reservoir circular mining, and relates to the technical field of geothermal resource development and rock mechanics, and the method comprises the following steps: establishing a reservoir rock mass mechanical analysis model and a seepage heat transfer analysis model which simultaneously comprise a microscopic microcrack structure and a macroscopic crack structure; based on the reservoir seepage heat transfer analysis model, reservoir temperature field and seepage field analysis is carried out, and water pressure and temperature distribution results are transmitted to the mechanical analysis model; based on the reservoir mechanical analysis model, reservoir stress and deformation analysis under the heat-water-force coupling effect is carried out, and changes of microcosmic microcrack and macroscopic crack structures in the reservoir rock mass are obtained; the rock mass permeability evolution equation and the porosity evolution equation are adopted to calculate the reservoir rock mass permeability tensor and the porosity, and the reservoir rock mass permeability tensor and the porosity are transmitted to the seepage heat transfer analysis model; and solving the reservoir temperature field, the water pressure field and the mechanical response in the geothermal circulation exploitation process by adopting a seepage heat transfer analysis and mechanical analysis staggered iteration mode. By analyzing the reservoir temperature, the water pressure, the deformation evolution response and the reservoir permeability change in the geothermal exploitation process, geothermal exploitation design and protection can be reasonably carried out, and the application prospect is good.

The invention provides a visual rock filling fracture seepage monitoring method. The visual rock filling fracture seepage monitoring method comprises the following steps: preparing a transparent rock filling fracture model based on real fracture morphology and filling treatment; a mixture which is used for simulating the underground water environment and contains tracer particles is injected into the filling fracture of the model, seepage is conducted, in the seepage process, an image I1 and an image I2 are continuously collected, the flow velocity field of the filling fracture is monitored for the image I1 through a PIV method, and the dissolution condition of filler and the corresponding filling fracture opening change condition are monitored for the image I2 through a DIC method; and identifying an eddy current area in the filling crack by the image I2, and calculating the overflowing capability of the filling crack according to the flow of the waste liquid discharged by the model. According to the method, disturbance to a natural structure in the fracture is avoided, dynamic monitoring of fluid in the fracture can be achieved, data support is provided for research on seepage field change in the dynamic fracture, and research on the relation between fracture geometric heterogeneity and seepage field characteristics is facilitated.

The invention discloses a ground subsidence monitoring system under the condition of ultra-large water level drawdown, and relates to the technical field of foundation pit dewatering, a seepage field change analysis module arranged on the system can analyze the movement process of underground water in a soil body of a foundation pit wall according to water body state data monitored in real time and in combination with the saturation state and permeability of the soil body, and the seepage field change analysis module can analyze the movement process of underground water in the soil body of the foundation pit wall through the module. The system can automatically perform hierarchical division on the soil body in the foundation pit wall, obtain the spatial and temporal distribution of the water head of each soil layer in the precipitation process, make the subsequent stress analysis and settlement evaluation more accurate, and accurately calculate the effective stress change of the soil body in the precipitation process based on the spatial and temporal distribution of the water head of each soil layer. And the additional stress influence of the settlement of the upper layer soil layer on the lower layer soil layer is analyzed, so that the settlement volume of each layer of soil body is obtained, and the stress and settlement monitoring based on stratified analysis enables the system to carry out detailed evaluation on differential settlement and interlayer stress change, so that the risk of structural instability caused by settlement difference is effectively prevented.

The invention relates to the technical field of fluid-solid coupling, in particular to a rock-soil body fluid-solid coupling simulation method and system. Firstly, a fluid-solid coupling model is constructed according to a rock-soil body balance equation, a seepage continuity equation and a permeability function considering deformation influence, and the fluid-solid coupling model can realize bidirectional coupling of a stress field and a seepage field, so that the fluid-solid coupling process of the rock-soil body is more accurately simulated through the fluid-solid coupling model; in addition, the fluid-structure interaction model uses many parameters, including mechanical parameters and permeability parameters, so that the inversion efficiency is low; according to the method, an orthogonal test method is adopted to carry out sensitivity analysis on the fluid-solid coupling parameters of the rock-soil body, parameters sensitive to monitoring data are obtained, only target parameters are inverted, the number of the inverted parameters is reduced, and therefore the parameter inversion efficiency is remarkably improved; the invention further provides a model parameter inversion method based on the long and short term memory neural network.

The invention discloses a three-dimensional fracture network seepage and solute transport numerical simulation method based on topological pruning, which comprises the following steps of: analyzing a fracture network topological structure from global and local scales by applying a graph theory, establishing a quantitative relation between fracture connectivity and an underground flow field, and accurately describing an influence mechanism of topological characteristics on a seepage field; on the basis of network topology analysis, the key fracture sub-network is extracted through a pruning method, the key fracture sub-network is used for replacing a complete network for high-precision numerical simulation, and the calculation efficiency is remarkably improved while the calculation precision is guaranteed. The invention provides an efficient and reliable solution for the problems of seepage and solute transport in a hard rock fractured medium.

The invention provides a numerical simulation method and system based on rock mass fracture extension and seepage coupling, and belongs to the field of rock mechanics. Rock is regarded as a set composed of particles and mechanical contact between the particles, and a triangulation network is constructed based on the circle center of each particle; according to the geometrical characteristics of the triangulation network, a seepage pipeline network containing the interior and the periphery is built, and network nodes and boundary nodes are determined; calculating the permeability coefficient according to the particle positions on the two sides of the pipeline, and forming a penetrating seepage channel and fracture network by taking the pipeline which is not 0 and penetrates through and is connected with boundary nodes as a passage pipeline; and constructing a flow conservation equation set based on network nodes, solving pore pressure by using a Jacobian iteration method, calculating fracture pressure, and applying the fracture pressure to the model to realize coupling of a stress field and a seepage field. According to the method, the advantages of particle discrete elements in calculation of rock mass fracture extension and the advantages of a pipeline network method in calculation of fracture seepage are fully exerted, and accurate simulation of rock mass fracture initiation extension, seepage channel recognition and seepage field calculation is achieved.

The invention discloses an airport high-fill soil rainfall seepage field analysis method and system. The method comprises the steps that first-level slope sections on the two sides of a branch ditch in a high-fill area are selected, and simplification assumption is conducted on an engineering structure of the first-level slope sections in combination with foundation investigation and design data; functional partition is carried out on the research area, and structured grid division is carried out on each functional partition through simulation software; based on an unsaturated soil water flow theory, selecting a mathematical model for describing a relationship between a soil water characteristic curve and a permeability coefficient, inputting physical and mechanical parameters of a filled soil body, setting boundary conditions of a seepage model, and completing construction of the seepage model; designing at least two typical rainfall working conditions; carrying out saturated-unsaturated seepage simulation, and recording dynamic change data of pore water pressure and a transient saturation region under different working conditions; and carrying out multi-dimensional quantitative analysis on a simulation result, and summarizing an association rule of rainfall parameters and a seepage field. And safe operation of airport engineering is ensured.

The invention relates to the technical field of rock / soil mass seepage-stress coupling, and discloses a rock-soil mass seepage-stress coupling visualization device and a test method thereof. The rock-soil body seepage-stress coupling visualization device integrates a seepage pressure system controlled by a high-precision plunger pump, a confining pressure and back pressure control system, a loading and measuring device and a visualization observation system composed of a PIV particle image measuring instrument and a three-dimensional XTDIC full-field strain measuring system, and an experiment platform with comprehensive and accurate functions is formed. The device not only can accurately control and measure the seepage pressure, but also can carry out permeability research on the rock / soil body in various stress states, and directly observes and records the seepage field and the structural evolution process in the rock / soil body through an intuitive visual means. The device not only improves the experiment efficiency, but also greatly enhances the intuition and accuracy of research, and provides powerful support for deeply understanding the microscopic and macroscopic behaviors of the rock / soil body under the seepage-stress coupling action.

The invention discloses a digital twin-driven foundation settlement multi-physics field coupling simulation platform and a use method thereof, relates to the technical field of foundation settlement analysis, and solves the technical problem of settlement prediction deviation accumulation caused by incapability of synchronously updating seepage field and stress field coupling boundary conditions. According to the invention, the twinborn construction unit and the multi-physics coupling solving unit are installed, so that the rapid construction of the digital twinborn of the stratified geologic structure and the multi-physics coupling effect calculation of a stress field, a seepage field and a temperature field of a soil body are realized, and the problem of insufficient precision of traditional single-field simulation is solved; by installing a noise filtering unit and a data standardization unit, elimination of high-frequency interference components of sensor signals and time-space alignment of multi-source data are achieved, the problem that noise interference of geological exploration data is incompatible with heterogeneous formats is solved, and the accuracy and accuracy of foundation settlement analysis are improved. And the reliability of input data and the stability of a simulation result are improved.

The invention relates to the technical field of tailing pond model construction, in particular to an earth surface groundwater combined tailing pond model construction method and system. According to the method, the SWAT-MODFLOW coupling model is established, the model combines the advantages of the SWAT model in surface hydrological process simulation and the accuracy of the MODFLOW model in underground water flowing process simulation, the characteristics of the hydrodynamic field and the seepage field of the tailings pond can be more comprehensively described, and the seepage flow of the dam body can be accurately predicted. And meanwhile, a dam body slope stability CPSO-BP prediction model is established by utilizing a coordinated particle swarm optimization algorithm and a BP network, and the model can describe a complex nonlinear relationship between the slope stability and influence factors thereof, so that the prediction precision is improved. The influence of the surface water and the underground water on the tailings pond is comprehensively considered, and compared with a traditional model only considering the surface water, the running state and the instability mechanism of the tailings pond can be simulated more truly.

The invention relates to a dynamic grid-based foundation pit temperature field-seepage-stress field coupling calculation method, which comprises the following steps of: establishing a nonlinear dynamic bidirectional coupling constitutive relationship of a temperature field, a seepage field and a stress field containing a two-dimensional foundation pit cofferdam, and obtaining a three-field full coupling equation set; in combination with a GPU acceleration solver, solving the three-field full-coupling equation set by adopting a sub-domain decoupling-asynchronous iteration strategy; and performing real-time early warning on the cofferdam construction period according to a solving result. The method has the advantages that compared with a traditional linear model, the precision of the established three-field full-coupling equation set is improved, and the interaction influence relation of three fields can be well simulated.

The invention belongs to the technical field of water conservancy and hydropower engineering, and particularly relates to a computer vision-based dam seepage field rapid calculation method, which comprises the following steps of: acquiring geological attribute parameters and upstream and downstream water level working condition parameters, and constructing a sample space; constructing a data set by using a dam seepage numerical model considering the spatial variability of the permeability coefficient based on the sample space; and establishing an improved conditional deep convolutional generative adversarial network model based on the data set to realize rapid calculation of the dam seepage field. The problems that in an existing dam seepage behavior analysis and research method, a numerical simulation method occupies too many computing resources and consumes long time, most agent models only pay attention to local scattered measuring points for modeling, and overall seepage field modeling at a key section cannot be achieved are solved. However, most of the current image generation researches based on computer vision neglect the generation precision problem of high-frequency details of the image, and the high-frequency edge information of the image cannot be accurately generated.

The invention provides a fluidization two-field coupled natural gas hydrate exploitation simulation method and system, and relates to the field of natural gas hydrate exploitation. A fluidization two-field coupled natural gas hydrate exploitation simulation method comprises the following steps: establishing a geometric model of a natural gas hydrate reservoir on the basis of reservoir parameters and physical parameters of the natural gas hydrate reservoir; based on a mass conservation equation, establishing a control equation set of the natural gas hydrate fluidization two-field coupling model; adjusting the control equation set based on the intrinsic dynamic behavior of the natural gas hydrate phase change decomposition and the two-phase seepage law of the natural gas hydrate to obtain a target control equation set; based on initial conditions and boundary conditions, solving the target control equation set to obtain two-phase seepage field and chemical decomposition field distribution; based on the distribution of the two-phase seepage field and the chemical decomposition field, calculating the accumulated decomposition, water production and gas production quality of the natural gas hydrate. Therefore, simulation accuracy can be improved, and engineering practicability is facilitated.

The invention discloses a numerical simulation method and device for seepage heat transfer of a three-dimensional rough fractured rock mass, and relates to the technical field of rock mechanics engineering.The dynamic opening degree of the fractured rock mass is obtained by combining the initial opening degree and the equivalent opening degree of the fractured rock mass, and in the process of obtaining the dynamic opening degree of the fractured rock mass, the dynamic opening degree of the fractured rock mass is obtained. According to the method, based on the initial opening and the equivalent opening, the coupling influence of the shear expansion effect and roughness degradation on the fracture opening under the action of shear stress is quantified, and then based on the dynamic opening of the fractured rock mass, the point cloud data of the upper and lower fracture surfaces of the fractured rock mass after shearing is updated; the dynamic updating of the three-dimensional geometrical morphology of the real fracture in the shearing process is realized, and the bidirectional coupling simulation of the seepage field and the temperature field is realized based on the three-dimensional geometrical morphology data of the real fracture, so that the precision of the seepage heat transfer numerical simulation of the fractured rock mass is improved.

The invention discloses a hydrothermal coupling model test system and a hydrothermal coupling model test method for simulating a liquid nitrogen frozen stratum in different seepage environments. The system and the method are used for experimental research of a multi-physical field coupling effect of a test object in a large-seepage liquid nitrogen frozen stratum. The model test system comprises a liquid nitrogen freezing system, a flowing water seepage circulation system and a monitoring system, the liquid nitrogen freezing system is used for controlling the temperature of a liquid nitrogen freezing pipe embedded in a sand layer by changing the liquid nitrogen flow, so that the test sand layer is quickly frozen; the flowing water seepage circulation system simulates different underground water seepage speeds through a pressure pump, and the temperature of test water is kept constant through a heating rod. The monitoring system is used for recording the change trend of the temperature field and the seepage field in the liquid nitrogen stratum freezing process. According to the device, the ultra-low temperature effect of the liquid nitrogen is utilized to perform top-speed freezing on the sand layer under the high-flow-speed seepage environment, so that the freezing curtain can be effectively closed, and the evolution law of a large-seepage-flow stratum liquid nitrogen artificial freezing temperature field and a seepage field is obtained by simulating the liquid nitrogen stratum freezing process under different seepage environments; and a basis is provided for manual liquid nitrogen freezing construction of the large-seepage stratum.