27 results about "Seepage field" patented technology

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.

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 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 embodiment of the application provides a loose accumulation body destruction process simulation method and system combined with multiple physical fields, relates to the technical field of geological engineering and rock and soil mechanics, and first captures the traces of stress transmission field, pore medium seepage field and heat exchange field on the loose accumulation body, obtains a multiple physical field dynamic trace set; reversely models the multiple physical field coupling relationship based on the multiple physical field dynamic trace set, and obtains a reverse coupling model; then, imports physical parameters such as particle composition, pore distribution and mechanical response of the accumulation body into the reverse coupling model to obtain coupling evolution data; then, constructs a destruction evolution layered path according to the coupling evolution data; and finally, generates destruction process simulation data containing multiple-dimensional evolution information based on the destruction evolution layered path. The application can accurately simulate the destruction process of the loose accumulation body.

The application discloses a micro water test model analysis and permeability coefficient value inversion calculation method based on a nonlinear seepage theory, establishes a complete well micro water test analysis model of a confined aquifer which can explicitly describe the influence of the global non-Darcy effect in the aquifer, adopts a Forchheimer equation to describe a nonlinear seepage field, processes the nonlinear term by using a Laplace transform and a Brady method, and realizes accurate solution of well water level H(t) by using a Talbot algorithm for numerical inversion. High-frequency and high-precision water level pressure sensors arranged in a test well and at different observation points are used to collect and record water level distribution of an initial background seepage field and water level response data after a micro water test is excited, so that the seepage state of the seepage field in the aquifer is determined. In the inversion process of the permeability coefficient value of the aquifer, a change rule curve of the well water level H with time t is generated based on the water level response data of the test well, and the permeability coefficient K value of the aquifer is inverted by comparing the fitting of the measured value with a standard curve.

This invention discloses a method for calculating the inflow volume of a confined aquifer foundation pit considering a cutoff wall. The method includes: considering the effect of a suspended cutoff wall, dividing the seepage field near the cutoff wall into a flow around the wall and a non-flow around the wall, and introducing a seepage path length influence coefficient for the flow around the wall; obtaining a calculation formula for the inflow volume of the confined aquifer foundation pit based on the seepage path length influence coefficient according to Darcy's law; obtaining the foundation pit inflow volume through numerical simulation, and obtaining the relationship between the seepage path length influence coefficient and the cutoff wall insertion ratio; establishing a fitting formula between the seepage path length influence coefficient and the cutoff wall insertion ratio, and substituting the relevant values ​​into the calculation formula for the inflow volume of the confined aquifer foundation pit to obtain the inflow volume of the confined aquifer foundation pit considering the cutoff wall. This invention overcomes the problem that conventional calculation methods do not consider the cutoff wall, introduces the seepage path length influence coefficient and its determination method, and provides accurate results for the calculated inflow volume of the confined aquifer foundation pit, providing a theoretical basis for similar projects.

This invention discloses a real-time inversion method for seepage edge analysis in dams based on a physical information neural network, belonging to the field of water conservancy engineering safety monitoring technology. The method includes: collecting and preprocessing multi-source monitoring data on seepage pressure, temperature, and deformation; constructing a seepage-temperature-deformation coupling mechanism model; constructing a physical information neural network, embedding the partial differential equations of seepage mechanics as physical constraints into the loss function, and using hard constraint boundary conditions; lightweighting the model and deploying it on edge computing nodes to achieve real-time seepage field inversion; and performing streamline tracing and comprehensive anomaly index calculation based on the inversion results to identify abnormal seepage paths and provide graded early warnings. This invention achieves technical effects such as an inversion accuracy R²=0.97, low equation residuals, short single inversion time (seconds), and anomaly identification accuracy of 94%, and can be widely applied to seepage safety monitoring of reservoirs, dams, dikes, and tailings ponds.

This invention belongs to the field of shield tunneling technology, specifically a method and system for calculating the three-dimensional steady-state seepage field at the excavation face of a shield tunnel under isolated rock conditions. It includes: S1 establishing a three-dimensional geometric model of the seepage field around the tunnel excavation face as a cuboid, with the vertical direction as the z-axis, the direction perpendicular to the tunnel excavation as the x-axis, and the direction along the tunnel excavation as the y-axis; S2, combining the boundary conditions of each region of the seepage field, establishing two-dimensional hydraulic head expressions for the six face regions of the three-dimensional geometric model based on the cuboid three-dimensional geometric model; S3 using the continuity conditions between regions to construct linear partial differential equations and Fourier series expansion equations, solving for the three-dimensional hydraulic head expressions for the six regions; and S4 obtaining the analytical solution for the hydraulic head at any position in the three-dimensional seepage field in front of the excavation face based on the superposition of Fourier series. This invention can accurately calculate the water pressure borne by the excavation face, which also has significant engineering significance for ensuring the safe construction of shield tunnels.

The application discloses a basement soil seepage field calculation method and system based on a bottom plate pressure relief valve, the method is aimed at the engineering working condition of setting the pressure relief valve for the basement bottom plate in the high underground water level area, and an analytical calculation method of the soil two-dimensional seepage field and the basement structure water pressure considering the active drainage pressure reduction effect is first proposed, compared with the numerical method, the analytical method can directly present the water head distribution of each point of the seepage field in the form of function, clearly reflect the mutual relationship between various influencing factors, and the calculation process is simple and efficient, without re-modeling and calculation for different working conditions like the numerical method, better generality, and can effectively save the calculation time, can quickly and accurately solve the soil seepage field distribution and the water pressure of the basement bottom plate and the side wall under any working condition, and can accurately quantitatively evaluate the water pressure reduction effect of the pressure relief valve on the basement bottom plate and the side wall.

The application discloses a combined drainage seepage device for regulating seepage field and a test method, and relates to the technical field of geotechnical engineering and geological disaster physical model test; in order to solve the problems that the water head boundary of the existing seepage test device is inconvenient to regulate, it is difficult to realize pressure measurement and drainage simultaneously, and the observation of the seepage evolution process is not intuitive, the following technical scheme is provided: including a model box, a water supply box, an adjusting box, a drainage structure, a drainage pipe and a connecting pipe; the inside of the model box is divided into a test area and a buffer box by a water permeable plate; the adjusting box is provided with a height adjusting mechanism to set an initial water head, and is connected with the water supply box and the buffer box respectively; the high-precision control of the constant water head is realized through overflow design of the adjusting box, the flexible switching of the directional drainage working condition is realized by cooperating with a node valve group, and the visual tracking of the dynamic evolution of the seepage field in the soil body and the accurate quantitative evaluation of the seepage parameters are realized by combining with the synchronous collection of the dyeing liquid, the water level and the flow.

The present application belongs to the technical field of oil and gas field development, and particularly relates to a method for generating a reservoir full development cycle seepage field based on a particle tracking algorithm, aiming at solving the problems of great difficulty in characterizing the reservoir full development cycle seepage field and the numerical simulation results of conventional streamline algorithms not being easy to converge. The method comprises the following steps: classifying the particle flow direction according to the direction of the streamline particle crossing the grid boundary to obtain the type of the particle flow direction; classifying the particle tracking condition based on the type of the particle flow direction and the seepage velocity of the grid boundary to obtain the type of the particle tracking condition; determining the particle tracking process according to the type of the particle tracking condition; performing particle tracking calculation in combination with the particle tracking process; and generating the reservoir full development cycle seepage field based on the particle tracking calculation result and in combination with the tracking process. The present application solves the problems of great difficulty in characterizing the reservoir full development cycle seepage field and the numerical simulation results of conventional streamline algorithms not being easy to converge.

This invention specifically relates to an analytical calculation method for the flow field in foundation pits within unconfined aquifers, encompassing the fields of hydrogeology and engineering geology. The method involves incorporating dimensionless hydrogeological data, the length and location of the suspended cutoff wall, and the pumping volume construction plan into an analytical solution to calculate the changes in the seepage field within the foundation pit. This invention simultaneously considers the effects of the suspended cutoff wall and the river boundary, making it more suitable for realistic foundation pit dewatering conditions compared to other current analytical methods. By introducing the instantaneous release boundary condition of the water table, it can reflect the unsteady seepage characteristics of unconfined aquifers. Utilizing dimensionless methods and Laplace transform, the complex unsteady seepage problem is transformed into a solvable analytical form, and combined with numerical inverse transform, a time-domain solution is efficiently obtained. This provides a rapid calculation tool for engineering projects and serves as an important verification method for numerical simulations.

The application discloses a dam seepage field reconstruction and leakage channel inversion method and equipment, and the method comprises the steps of: constructing a structured topological graph reflecting the adjacency relationship between measuring points according to the spatial distribution characteristics of the dam seepage pressure monitoring section, and converting the monitoring data into a multi-dimensional feature tensor containing seepage pressure values, change rates and environmental factors; constructing a topological constraint-based space-time graph attention network model, introducing a topological adjacency mask in the attention score calculation process of the model graph attention layer to force the model to only aggregate features between nodes that exist in the topological structure, and embedding the spatial geometric constraint into the deep learning weight updating process; analyzing the attention weight matrix obtained by model training to invert the dominant leakage path inside the dam body, and outputting the reconstructed three-dimensional seepage field distribution based on sparse measuring points. The application eliminates the pseudo-correlation interference in the data-driven model through the topological hard constraint mechanism, and can realize the diagnosis of the dam seepage state.

The application provides a big data-based real-time monitoring method and system for seepage safety of water conservancy embankments, relates to the technical field of water conservancy projects, determines a target adjustment coefficient based on historical reservoir water level time series data and historical seepage pressure data, and adjusts a basic sampling frequency based on the target adjustment coefficient to obtain a sampling frequency; seepage monitoring data of the embankment is obtained based on the sampling frequency; based on the seepage monitoring data, a pre-trained physical information neural network model is used for seepage field inversion to predict the seepage pressure distribution at a future time, so as to reduce the false negative rate and false positive rate of risk determination of water conservancy embankment seepage.

This invention relates to a numerical simulation method for water injection-induced dynamic fracture seepage considering the percolation mechanism. The steps are as follows: Step 1: Model establishment; Based on the basic equations of oil-water two-phase flow, considering the dual effects of percolation and displacement on oil-water flow and water injection-induced dynamic fractures, the capillary force model, relative permeability model, and matrix fracture flow rate of the displacement and percolation processes are respectively incorporated into the flow control equations to establish a mathematical model of water injection-induced dynamic fracture oil-water two-phase seepage under the dual effects of percolation and displacement; Step 2: Model solution; The fully implicit finite difference method is used to obtain the dynamic fracture oil-water two-phase seepage field data considering the dual effects of percolation and displacement. This invention can more accurately characterize the actual seepage environment of the reservoir and has higher accuracy in predicting development indicators.

This invention discloses a method for solving unsteady seepage in fractured oil and gas reservoirs based on a physical information neural network, belonging to the field of reservoir seepage mechanics technology. The method includes the following steps: S1. Establishing a dual-medium seepage mathematical model: Constructing the governing equations, initial pressure conditions, wellbore flow boundary conditions, and far-field boundary conditions for the fracture system and the matrix system. This method constructs a deep neural network with residual connections and embeds the governing equations, initial conditions, and boundary conditions of the dual-pore, dual-seepage model into the neural network loss function. Through physical constraint learning, it achieves efficient prediction and solution of the seepage field in the fracture system and the matrix system. Compared with traditional numerical solution methods based on grid discretization, this method reduces the dependence on grid partitioning and local refinement, alleviates the problems of high computational cost and low solution efficiency under complex seepage conditions in fractured reservoirs, improves the accuracy of seepage field prediction and computational efficiency, and has good engineering applicability.

This invention belongs to the technical field of geomembrane defect leakage detection. To address the problem that existing methods cannot simulate and quantitatively study the coupling mechanism between the electrical shielding effect of geomembranes and reservoir water load and defect leakage, this invention proposes a geomembrane leakage simulation experiment method and apparatus. Water is injected into the simulation apparatus to adjust the experimental water layer to the first target water level. Drainage is then initiated to achieve dynamic equilibrium of the seepage field in the simulation apparatus. Under stable conditions, apparent resistivity data at the first target water level are collected based on the ground high-density resistivity method and the water surface high-density resistivity method. After changing the experimental variables and reaching a new steady state, corresponding apparent resistivity data are collected. The collected apparent resistivity data under different experimental conditions are then compared and analyzed to explore the geomembrane electrical shielding effect, the influence of reservoir water load, or the defect leakage response mechanism.

The application discloses a kind of earth-rock dam seepage monitoring equipment arrangement method, comprising the following steps: S1, three-dimensional seepage field model is established using finite element analysis software, longitudinal structure layer and transverse risk partition are divided, and output seepage direction vector diagram and geological anomaly area distribution diagram;S2, according to the risk level of different structure layers and monitoring needs Permeability damage, the required multidimensional monitoring equipment and auxiliary equipment are matched;S3, with risk level to determine equipment base layout density, and through seepage path guidance adjustment equipment arrangement, geological anomaly point additional encryption, reserved modular interface realizes four-dimensional layout optimization;S4, construct LSTM permeability damage risk prediction model, establish multi-device collaborative calibration mechanism, add environmental adaptive sampling module, while retaining basic trigger condition.The application can effectively improve monitoring accuracy, expand the flexibility of monitoring equipment layout, strengthen dynamic response and prediction ability.

The application discloses a water drive reservoir full-grid scale automatic history matching method based on disturbance pulse inversion and belongs to the technical field of reservoir numerical simulation. The method is characterized in that: a time-flow line set is obtained by discretizing a seepage field by using streamline simulation; a saturation propagation control equation along a flow line is obtained by using a characteristic line method to solve a water phase seepage flow equation; a water saturation disturbance transmission mechanism is constructed; a water cut error mapping with a production well is established and a linear equation set is formed; a saturation field optimal correction amount is obtained by solving a least square problem with a water cut fitting error as a constraint; a saturation field is updated and new flow lines are generated according to the saturation field; and iteration is performed until the fitting reaches a standard; and a permeability field is corrected based on a time sequence correlation coefficient of injection and production wells and a production well pressure prediction error. The application has the characteristics of being insensitive to an initial saturation, high inversion efficiency and high fitting precision, and is suitable for large-scale complex water drive reservoir history matching and prediction.

This invention relates to the field of tunnel construction safety management technology, specifically a quality and safety risk management system and method for water-rich tunnel sections. The method includes: generating a three-dimensional geological cloud map from scanned data of the tunnel section to be constructed, and analyzing this data to form a set of blasting excavation parameters; collecting hydrogeological environmental data around the tunnel wall after blasting operations, establishing an initial seepage field equation, introducing a machine learning algorithm to nonlinearly fit groundwater pressure and rainfall parameters, and generating a dynamic seepage prediction model; comparing the predicted and measured seepage flow values, and determining support parameters based on the deviation and fracture zone distribution when the deviation exceeds a preset tolerance; collecting surrounding rock convergence displacement data and associating it with rock mass integrity indicators; and generating safety and quality control instructions including risk level classification. This method can dynamically adapt to hydrogeological changes, accurately match support parameters with surrounding rock risk characteristics, and achieve refined quality and safety management throughout the entire construction process.

This invention provides a method and system for dynamic assessment of tunnel structures. The method includes the following steps: collecting multi-source monitoring data at risk monitoring sections within the tunnel; calculating a first state index reflecting structural stiffness degradation and a second state index reflecting the structure-seepage field coupling stability coefficient under the influence of seepage water; and calculating the comprehensive state index of the monitoring section at a target time using a preset dynamic assessment model to generate the corresponding structural state level and early warning information. By integrating multi-source heterogeneous monitoring data and constructing a dynamic assessment model, more accurate and forward-looking tunnel structure state perception and early warning can be achieved, overcoming the limitations of traditional single-threshold alarms. By calculating the structural stiffness degradation index and the seepage-structure coupling stability index, the attenuation of lining mechanical properties, groundwater seepage activity, and water corrosion effects are coupled and quantitatively assessed, significantly improving the accuracy of state judgment.

The application relates to the technical field of water conservancy and hydropower engineering, and discloses a dam foundation covering layer nonlinear seepage fine calculation method and system, which aims to solve the problem of poor accuracy and fineness of the existing method, and mainly comprises the following steps: constructing a seepage wall geometric model containing defects based on field drilling data and dividing the grid; based on the physical property parameters of the covering layer soil, the Darcy seepage coefficient and the Forchheimer seepage coefficient under the Darcy-Forchheimer model are calculated by using the Ergun formula; boundary conditions, fluid parameters and solution control parameters are configured, and the nonlinear seepage characteristic parameters of the covering layer soil and the seepage wall defects are specified to construct a fine analysis model; the seepage field numerical calculation is carried out based on the RANS equation and the Darcy-Forchheimer model by using a finite volume method solver; and the calculation results are extracted to obtain the nonlinear seepage field distribution containing the covering layer soil and the seepage wall defects. The application improves the accuracy and fineness of the dam foundation seepage calculation containing the seepage wall, and is suitable for two-dimensional seepage analysis or three-dimensional seepage analysis.

This invention proposes a three-dimensional seepage simulation method for pumped storage power stations considering karst development. The method includes: constructing a comprehensive three-dimensional finite element model encompassing the topography, strata, structure, and key components of the project area; generating random dissolution pores based on geological exploration data that conform to statistical distribution patterns; embedding these pores into the overall model through spatial mapping to form a computational model; assigning permeability parameters and setting seepage boundaries; and finally, numerically solving the three-dimensional seepage field. This invention can accurately characterize random dissolution pores, improve the accuracy and stability of seepage simulation, scientifically assess leakage risks, optimize seepage control schemes, and meet the safety and intelligent construction requirements of pumped storage power station projects in karst areas.

The application belongs to the technical field of rock mechanics test, and particularly relates to a THMC-B coupling soft rock shear rheological test system and a test method. The test system is composed of a shear box, a compression-shear system, a seepage system, a chemical erosion system, a temperature circulation system, a vibration loading system, a data monitoring and intelligent control system, the compression-shear system and the temperature circulation system arranged outside the shear box are used to simulate stress field and temperature field respectively, the seepage system and the chemical erosion system connected with the water / gas channel of the shear box are used to simulate seepage field and chemical field respectively, the vibration loading system is used to simulate blasting disturbance by impacting the shear box, and the data monitoring and intelligent control system is used to control test parameters. The test system can carry out THMC-B coupling shear rheological test without disassembling the shear box, can dynamically simulate the multi-field coupling effect of the stress state of soft rock, chemical field, temperature field, seepage field and blasting disturbance, and the test method is simple in operation, high in automation degree and test efficiency.

This invention discloses a visual experimental device and method for seepage-acid etching in sulfide-bearing rock formations, belonging to the field of rock seepage and micro-acid etching technology. It includes: a water-rock reaction system, comprising at least one microfluidic chip for simulating the pore-fracture medium structure of sulfide-bearing rock formations; a sample injection system for quantitatively and pulse-free injection of reaction fluid into the microfluidic chip; a real-time observation system for visual observation and data acquisition of the seepage and acid etching processes within the microfluidic chip; and a hydrochemical testing system for real-time monitoring and collection of the reaction fluid flowing through the microfluidic chip. The output of the sample injection system is fluidly connected to the input of the microfluidic chip in the water-rock reaction system, and the output of the microfluidic chip is fluidly connected to the hydrochemical testing system. This invention, by constructing a visual seepage-acid etching experimental device, can directly acquire multi-source data such as seepage field evolution, mineral dissolution morphology, and dynamic changes in hydrochemistry.