114 results about "Seepage field" patented technology

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 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 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 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 discloses a seepage field adaptive analysis method and device based on a flexible polygon unit, and the method comprises the steps: dividing the polygon unit into a plurality of sub-regions, and constructing an internal water head field of each sub-region; recognizing a free water surface according to water head features extracted from the internal water head field of each sub-region; if the free water surface is recognized for the first time at present, or the error of the positions of the free water surfaces recognized by two adjacent rounds of iteration does not meet a preset condition, quadtree decomposition is carried out on the free water surface to obtain new sub-regions; returning to the step of extracting the water head features according to the internal water head field of each sub-region until the error of the positions of the free water surfaces identified by two adjacent rounds of iteration meets a preset condition, and obtaining a grid division result of the polygon unit; and performing seepage field analysis on the polygon units based on a grid division result to obtain a seepage field analysis result. According to the method, the complex seepage field is accurately simulated, and the optimal balance between high-precision discretization near the free water surface and the overall calculation efficiency is realized.

The invention provides a grouting path optimization method and system based on multi-field coupling constraint, and belongs to the technical field of geotechnical engineering grouting, and the method comprises the steps: collecting geological data, including rock stratum distribution and physical and mechanical parameters, and underground water data; establishing a three-dimensional multi-physics field coupling model based on the acquired geological data, including establishing a three-dimensional rock-soil body model, performing stress field analysis on the three-dimensional rock-soil body model, constructing a seepage field, simulating a temperature field, quantifying mutual influence among the stress field, the seepage field and the temperature field, and obtaining a coupling relationship among the physics fields; obtaining rheological property data of the slurry, and calibrating the established three-dimensional multi-physics field coupling model based on the obtained rheological property data of the slurry to obtain a calibrated three-dimensional multi-physics field coupling model; and aiming at the calibrated three-dimensional multi-physics field coupling model, optimizing the grouting path, the slurry pressure and the slurry proportioning parameter, and generating an optimal grouting path planning scheme.

The invention belongs to the technical field of environment monitoring, and discloses an underground water environment monitoring system, which comprises a monitoring well body; the packers can be remotely controlled and are arranged in the depth direction of the monitoring well body; the optical fiber array can invert the seepage velocity field of the stratum around the well by applying controlled thermal pulse and monitoring temperature response; the robot flying shuttle can move in the well, and an in-situ chemical analysis module or a geophysical imaging module can be carried on the robot flying shuttle; the artificial intelligence model runs on the remote cloud platform; the artificial intelligence model can fuse multi-source data, takes a seepage field obtained by active detection and a stratum structure obtained by imaging as physical constraints, and can autonomously dispatch a robot shuttle to execute minute-level in-situ chemical diagnosis or scan inter-well strata. According to the invention, the leap from passive observation to active intelligent exploration is realized, and the monitoring precision and timeliness are significantly improved.

The invention relates to the technical field of geological engineering, in particular to a dam anti-seepage effect detection method and system. The method comprises the following steps: obtaining dam structure data; performing anti-seepage structure performance evaluation according to the dam structure data to determine anti-seepage weak points; performing seepage anomaly analysis based on the anti-seepage weak points to obtain seepage anomaly data; performing free surface offset identification according to the seepage abnormal data to obtain free surface offset data; performing seepage channel positioning based on the free surface offset data to obtain seepage channel data; performing seepage field numerical simulation according to the seepage channel data to obtain a seepage field simulation numerical value; dam foundation stability detection is conducted according to the seepage field simulation numerical value, and dam foundation stability data are obtained; and on the basis of the dam foundation stability data, instability critical state prediction is conducted, and instability critical state data are obtained. According to the invention, based on the geological engineering technology, the accuracy of dam anti-seepage abnormity identification and the timeliness rate of safety early warning are improved.

The invention discloses a foundation pit seepage-deformation space-time coupling early warning method and system based on a large geological model, and belongs to the technical field of geotechnical engineering intelligent monitoring, and the method comprises the steps: processing a regional geological survey report through the large geological model based on a Transform architecture, and generating a high-precision three-dimensional stratum parameter field; further, an improved particle finite element method is adopted to carry out dynamic coupling solution of a seepage field and a stress field, a displacement rate vector is obtained, a hybrid network space-time prediction model fused with LSTM-Transform is constructed, a composite early warning index is calculated in combination with the real-time displacement rate vector, and through multi-source data fusion and space-time coupling analysis, an early warning result is obtained. Accurate evaluation and advanced early warning of the seepage stability and the deformation state of the deep foundation pit project are achieved, the accuracy and reliability of early warning signals are remarkably improved, and the method is suitable for foundation pit safety control under complex geological conditions.

The invention discloses a discrete element simulation method for slope unstable seepage, effectively solves the problem of nonlinear flow simulation distortion caused by excessive simplification of a traditional seepage model, and improves the calculation precision of transient processes such as rainstorm infiltration. The dynamic porosity feedback mechanism can reflect the influence of the internal structure change of the slope on the seepage field in real time, and more reliable pore water pressure prediction data is provided for landslide early warning. The establishment of a multi-scale coupling framework provides a new technical approach for unstable seepage analysis under complex geological conditions, a physical information neural network effectively avoids the overfitting risk of a pure data driven model, and an improved multi-objective optimization algorithm can quickly position an optimal parameter combination under complex constraint conditions. A dynamic updating mechanism can automatically adjust model parameters according to slope state changes, and the timeliness and accuracy of landslide early warning under the unstable seepage condition are remarkably improved.

The invention provides a slope seepage analysis method under a flood discharge atomization condition. The slope seepage analysis method comprises the following steps: S1, acquiring slope pore water pressure data and matrix suction data through a distributed sensor array; s2, the data fusion unit compares the pore water pressure data with a dynamic critical pressure threshold value, compares the matric suction data with a dynamic critical suction threshold value, and generates a seepage analysis trigger instruction when any data exceeds the limit; s3, starting a transient seepage field calculation model by the seepage calculation engine based on the fracture network topology data; s4, generating a slope stability control parameter set according to a seepage pressure distribution diagram output by the transient seepage field calculation model; and S5, the execution system regulates and controls the operation state of the drainage facility according to the slope stability control parameter set. The slope seepage pressure can be reduced, the slope stability is improved, and safe operation of a water conservancy project is guaranteed.

The invention relates to a rock core seepage heat exchange dynamic coupling simulation system based on outlet temperature feedback. The system comprises a multi-medium precise injection system, a gradient temperature control rock core clamping system, an outlet multi-dimensional information sensing system, a dynamic coupling central control system and a pressure compensation and circulation backflow system. The central control system receives feedback signals of the outlet end and adjusts injection power and an axial gradient temperature control area in real time, and deep dynamic coupling of a seepage field, a temperature field and a stress field is achieved. The problems that a traditional experiment is constant in injection temperature and lacks outlet feedback are solved, real stratum temperature scale distribution can be accurately reconstructed, the physical fidelity and data reliability of a heat exchange coupling experiment are remarkably improved, and an advanced experiment supporting platform is provided for basic mechanism research in the field of energy development.

The invention provides a carbon dioxide geological sequestration assessment method and device based on fluid-solid coupling, and the method comprises the steps: generating a seepage simulation grid based on the collected field survey geological data of a target sequestration site; the simulation parameters corresponding to the seepage simulation grids in the current time period are input into a multiphase flow simulation tool, and seepage field data corresponding to the seepage simulation grids in the future time period are obtained; inputting pore pressure data and temperature in the seepage field data corresponding to each seepage simulation grid in the future time period into a solid mechanical simulator to obtain reservoir deformation data in the corresponding mechanical calculation grid in the future time period; and based on the seepage field data and the reservoir deformation data, generating evaluation information of the carbon dioxide geological sequestration. According to the method, the sealing safety and the reliability of efficiency evaluation are improved by utilizing a carbon dioxide sealing multi-physical field simulation technology coupled by a multiphase flow simulation tool and a solid mechanical simulator.

The application discloses a kind of safety evaluation method and safety evaluation system of dike engineering, belong to dike engineering safety technical field.The method includes: obtaining the temperature variation data of the dike region to be monitored;According to temperature variation data, the temperature gradient distribution in the dike is calculated, the historical data of seepage field state are combined, the delay influence of temperature gradient distribution to seepage field state is analyzed;Distributed sensor network is deployed in the key area of dike, real-time monitoring the change of seepage field state, obtains high-precision seepage field state data;According to the piping signal extracted from high-precision seepage field state data, and combining temperature gradient distribution and seepage field state data, piping path is predicted through random forest model;Based on the prediction result of temperature variation data, seepage field state data and piping path, the probability of piping occurrence and early warning level are predicted.The application can more comprehensively evaluate piping risk by integrating multi-source data, reduce the misjudgment possibly brought by single index.

The invention provides an unconventional oil and gas reservoir heat-fluid-solid coupling numerical simulation method and system. The method comprises the steps that a multiphase numerical model of a coupling temperature field, a seepage field and a stress field is built; the multiphase numerical model is integrated with a Cahn-Hilliard equation, a heat conduction equation, a continuity equation, a Navier-Stokes equation and a mechanical equilibrium equation; determining a model computational domain of the multiphase numerical model; performing grid discretization processing on the model calculation domain and performing grid refinement processing on the peripheries of the mass flow inlet and the pressure outlet to obtain a plurality of grid units; inputting the environmental parameters and the initial condition parameters into the multiphase numerical model, controlling the multiphase numerical model to perform discrete calculation in each grid unit, judging whether a convergence condition is met or not, and if yes, updating the physical property parameters of the multiphase fluid according to the current temperature and pressure, and outputting a numerical simulation result of the unconventional oil and gas reservoir. According to the invention, the productivity prediction deviation can be reduced.

The invention discloses a heavy haul railway tunnel disease inversion evaluation method, and relates to the technical field of tunnel safety. Comprising the following steps: generating 216 working conditions by adopting an L27 (38) orthogonal table according to 8 types of key variables; establishing a tunnel three-dimensional elastic-plastic damage model based on an ABAQUS platform, wherein the tunnel three-dimensional elastic-plastic damage model is coupled with a dynamic load, a temperature field and a seepage field; inputting 216 working conditions into the three-dimensional elastic-plastic damage model of the tunnel to obtain structural response data; analyzing the structure response data through a Python script, and extracting key features; constructing a disease label data set based on the key features; and constructing a deep learning forward model and a deep learning inversion model containing physical constraints. The technical problems that in the prior art, data sets under the influence of multiple factors are lacked, and an inversion model lacks physical constraints are solved.

The invention discloses a multi-scale analysis-based gas-water seepage field simulation method, which specifically comprises the following steps of: based on a digital rock core reconstructed by a CT (Computed Tomography) scanning image of a typical rock sample of a target reservoir, adopting a microcosmic pore network flow simulation technology; the change rule of the stratum seepage capacity in different stratum pressure gradients and water drive processes, the use degree of a pore network and the water drive process in a pore are calculated, and then a correlation chart with the rock permeability and the pressure gradients is established and used for rapid measurement and calculation of the actual reserve use degree and the recovery degree of the water-invaded sandstone gas reservoir. The method starts from a rock microcosmic pore channel, the scale is amplified to a macroscopic oil reservoir during application, the method has the cross-scale characteristic, and the method is used for rapidly measuring, calculating and evaluating the reserve utilization degree and the recovery degree of the actual water-invaded sandstone gas reservoir and is beneficial to rapid development of the gas reservoir engineering scheme design in a mine field.

This invention relates to the field of reservoir dam safety monitoring technology, specifically to a seepage monitoring system and method for reservoir safety monitoring, comprising: a distributed seepage pressure monitoring array, in which multiple high-precision vibrating wire piezometers are arranged on each monitoring cross section of the reservoir dam body to form a three-dimensional monitoring grid, wherein the piezometers are protected by a novel nanofiber filter layer. This invention solves the problems of traditional single-point piezometers being unable to reflect the overall seepage field and being prone to siltation by using the three-dimensional monitoring grid of the distributed seepage pressure monitoring array and the novel nanofiber filter layer. Combined with the double-weir structure of the intelligent water measuring weir group and the ultrasonic silt detection module, it avoids the accuracy deviation caused by siltation in traditional water measuring weirs. Edge computing nodes establish a three-dimensional correlation model of seepage pressure and flow rate with time using an embedded multi-parameter coupling analysis algorithm, which can automatically identify abnormal seepage patterns, solving the problem that traditional monitoring data is isolated and cannot automatically identify potential dam hazards.

The invention provides a calculation method and system for a two-dimensional foundation pit unsteady-state seepage field under suspension type retaining wall supporting, and belongs to the technical field of computer aided design. Dividing a seepage field around the foundation pit into three regular areas according to the boundary condition when the boundary state is zero when seepage does not occur; sequentially carrying out Laplace transformation, Fourier transformation and inverse transformation on the time variables in the unsteady-state seepage equilibrium equation and the boundary condition of each region to obtain an expression of a water head series solution of a water head of each region; constructing a non-homogeneous equation set by utilizing continuous conditions among the regions; programming solving is carried out by utilizing orthogonality of a trigonometric function, and obtained constant terms are substituted into expressions of water head series solutions of all the areas; and carrying out inverse transformation on the solved expression by adopting a Stehfest method to obtain an expression of the unsteady-state seepage field water head solution of the foundation pit. The seepage field analytic solution calculated by the method has high precision, and the dynamic change characteristic of the seepage field around the foundation pit along with time can be accurately determined.

This invention discloses a method and equipment for analyzing the seepage field in the lining of cracked water-rich strata, belonging to the field of tunnel engineering seepage analysis technology. It addresses the technical problems in existing tunnel engineering seepage analysis, such as the difficulty in directly and analytically modeling complex cracks, the poor practicality of three-dimensional numerical simulation methods, and the insufficient consideration of the mutual interference between the tunnel and cracks. The method includes: performing equivalent seepage calculations on the equivalent circular drainage holes under the relevant total seepage flow; placing the equivalent circular drainage holes within the tunnel lining boundary, with the distance between the equivalent circular drainage holes and the tunnel lining boundary approaching zero; transforming the horseshoe-shaped non-circular boundary of the tunnel into a regular unit circle boundary under conformal mapping; and performing alternating two-dimensional seepage iterations on the excess hydraulic gradient generated by the equivalent circular drainage holes on the tunnel and the excess water head generated by the tunnel on the equivalent circular drainage holes under multiple connected domains to obtain the analytical results of the seepage field.

The application discloses a kind of microscale microplastic migration occurrence multi-physical field coupling simulation method, belong to ecological environment field.The method aims at solving the problem that existing microplastic migration model ignores interface adsorption process, is difficult to couple the action of multiple physical fields and is not suitable for the problem of insufficient adaptability to heterogeneous environment.Its main points are: in the Lagrangian framework, by constructing seepage field, and comprehensively calculating the stokes drag, dielectrophoresis force and Brownian force suffered by microplastic particles to track its movement, while explicitly introducing the adsorption and desorption between particles and pore wall, to simulate the migration trajectory and occurrence state of microplastic in heterogeneous porous medium.The application provides a high-precision simulation tool for revealing the environmental fate and health risk of microplastics in groundwater systems.

The present application belongs to the technical field of oil and gas field development, and particularly relates to a method and device for characterizing the evolution of a seepage field in the whole development cycle of an oil reservoir, aiming to solve the problem that the seepage field cannot be simultaneously characterized in a single stage and development history control in the prior art. The method comprises: obtaining data in the whole development cycle of the oil reservoir as input data; based on the input data, checking a dynamic and static multi-information correlation model of the oil reservoir; combining the checked dynamic and static multi-information correlation model of the oil reservoir, calculating a pressure trend field, and then obtaining a velocity field; according to the velocity field, using a particle tracking calculation method, characterizing the seepage field through a streamline field, and generating the seepage field of the oil reservoir in different development stages; combining the seepage field of the oil reservoir in different development stages, constructing the evolution characterization of the seepage field in the whole development cycle and the evolution characterization feature index of the seepage field in the whole development cycle. The present application solves the problem that the seepage field cannot be simultaneously characterized in a single stage and development history control in the prior art.

The invention discloses a structure-karst-unloading coupling degradation high and steep slope collapse physical model experiment system, and relates to the field of slope collapse risk management, and the system comprises a construction module which is used for constructing a high and steep slope model containing a karst network; the monitoring module is used for synchronously capturing micron-order opening and micro-fracture evolution information of an internal structural surface of the model and stress-seepage field distribution data; according to the method, the model is guaranteed to be highly matched with the actual geological environment through dynamic calibration of the adaptation degree, micron-sized synchronous capture of internal structure evolution, stress distribution and seepage field data of the model is achieved, and the monitoring precision is improved through multi-device collaborative layout and data credibility verification; and cooperatively applying tectonic stress, karst seepage and graded unloading according to a real time sequence, and dynamically adapting to the quasi-steady-state requirements of the stress-seepage field of the model.

The application provides a transformer fault monitoring method and system, which comprises the following steps: collecting multi-source monitoring data at a risk monitoring section in a tunnel; calculating a first state index reflecting structural stiffness degradation and a second state index reflecting a structure-seepage field coupling stability coefficient under the action of seepage water; calculating a comprehensive state index of the monitoring section at a target time through a preset dynamic evaluation model, and generating corresponding structure state grades and early warning information. Through the fusion of multi-source heterogeneous monitoring data and the construction of a dynamic evaluation model, more accurate and forward tunnel structure state perception and early warning can be realized, the limitations of traditional single threshold alarm are overcome, the lining mechanical property attenuation, groundwater seepage activity and water corrosion effect are coupled and quantitatively evaluated through the calculation of the structural stiffness degradation index and the seepage-structure coupling stability index, and the accuracy of state discrimination is significantly improved.

The invention discloses a calculation method of a rock mass fracture network seepage field containing a complex fracture form, and relates to the field of geotechnical engineering. The method comprises the following steps: for each node in a rock mass fracture network, determining a source-sink item at the node based on the flow of a plurality of fracture units connected with the node; substituting the source sink item at the node and the equivalent permeability coefficient matrix into an overall matrix equation of fracture network seepage for solving to obtain a pressure head value of the node; the overall matrix equation is obtained by assembling unit seepage matrix equations of all nodes in the rock mass fracture network; in the construction process of the fracture seepage unit equation, the influence of the on-way resistance coefficient on the equivalent seepage flow velocity of the fracture in the complex wall surface form and the influence of the local resistance coefficient on the equivalent seepage flow velocity of the fracture in the complex wall surface form are considered; and determining the pressure head values of all nodes in the rock mass fracture network as a rock mass fracture network seepage field. The method can improve the calculation precision of the fracture network seepage field.

The invention is suitable for the technical field of efficient numerical simulation of a seepage field, and relates to a two-dimensional seepage simulation method based on geometric analysis of a fixed grid, which is characterized in that a control equation is derived based on the Darcy theorem and the mass conservation theorem, and a target soil body is discretized by adopting the fixed grid; a nonlinear permeability coefficient is introduced to realize updating of material parameters on a Gaussian integral point level, and fine solving of a two-dimensional seepage problem without grid iteration is realized; an NURBS primary function is adopted to carry out interpolation approximation on a seepage field and a geometrical shape of a target soil body, and accurate calculation of physical quantities such as water head pressure and flow velocity of any point in the two-dimensional seepage problem soil body is realized by utilizing high-order continuity of the NURBS primary function and accurate representation of a complex shape; in addition, determination of seepage fields in the stratified soil bodies in longitudinal arrangement and transverse arrangement can be achieved. The whole method is low in cost and high in calculation precision and calculation efficiency.

The invention provides a device and a method for simulating seepage field evolution in a water-rich layered surrounding rock tunnel TBM tunneling process. The device comprises an angle-adjustable layered surrounding rock model box system, a gravity type constant seepage field loading simulation system, a TBM cutter head tunneling and supporting simulation system and a surrounding rock seepage and deformation monitoring system. The model box system is designed based on the geometric similarity ratio of 1: 10, and the inclination angle is adjustable. The seepage loading system is communicated with the model box up and down to realize stable gravity seepage application; the tunneling and supporting system is embedded in the model box in the horizontal direction, and dynamic tunneling and synchronous supporting are restored. The monitoring systems are respectively arranged in a seepage channel and a tunneling influence area to realize synchronous acquisition of multiple parameters and deformation. The method comprises the steps of model design, material preparation, seepage loading, tunneling support simulation and data acquisition and analysis. Multifunctional coupling is achieved, the device is clear in structure and controllable in operation, and an effective experimental platform is provided for seepage disaster mechanism research of water-rich layered surrounding rock tunnel construction.

The invention discloses a gas storage well productivity calculation method in a complex seepage environment, and the method comprises the steps: carrying out a rock core stress sensitivity experiment under multi-cycle injection and production: carrying out the multi-cycle injection and production rock core experiment, and building a stress sensitivity quantitative characterization model considering the effective covering pressure and the cycle round influence; implementing a high-speed injection-production non-darcy flow experiment: carrying out high-speed non-darcy flow experiment on cores with different permeability and porosity, and establishing a quantitative characterization model of a non-darcy flow coefficient; and construction of a gas storage capacity equation: based on the stress sensitivity quantitative characterization model and the quantitative characterization model of the non-darcy flow coefficient, forming the gas storage injection-production capacity equation through seepage field simplification and conformal transformation modeling, simultaneous operation of a gas motion equation and a state equation and construction of an unsteady seepage differential equation. According to the method, the functions of accurately predicting the productivity of the vertical well and the horizontal well of the gas storage and effectively evaluating the injection-production capacity under the multi-period injection-production condition are achieved.

The invention discloses a digital mine three-dimensional twinborn model construction method and device and a medium, and relates to the technical field of digital twines.The digital mine three-dimensional twinborn model construction device comprises a voxel fusion module, a geological intelligent deduction module and a model construction module, and the geological intelligent deduction module is used for conducting spatio-temporal evolution on a mine area structure to obtain twinborn model constraint parameters; the geological intelligent deduction module comprises a topology analysis unit, a dynamic deduction unit and a constraint quantization unit; the topology analysis unit is provided with an FPGA board card, isosurface extraction is carried out on the initial snapshot of the underground structure, confidence estimation is carried out, and a mine three-dimensional structural body is obtained. According to the method, topological relation analysis, finite element analysis and multi-physics field coupling deduction are executed in the FPGA board card, so that the mechanical stability of the twin model in a complex stress field and a seepage field is improved. Through a PLAXIS simulation engine and a constraint quantization unit, constraint and correction of the twin model are realized, and the intelligent evolution ability of the twin model is improved.