62 results about "Darcy's law" patented technology

The invention discloses an automatic measuring and adjusting method and system for flow of an intelligent separate injection well, and relates to the technical field of layered flow allocation. The method comprises the steps that the residual oil saturation of each layer in an oil reservoir is calculated based on historical and real-time data of the oil reservoir, and the initial water injection rate is distributed according to the residual oil saturation of different layers; and predicting an oil-water output ratio by using a water drive curve model according to the distributed initial water injection rate, and dynamically adjusting a water injection strategy in combination with actual production data for implementation. According to the method, the seepage rate and the pressure distribution are calculated by combining the physical constraint model and the Darcy law, so that the scientificity of regulation and control of the water injection rate of each layer is improved, and pressure balance and seepage path optimization of each layer in the oil reservoir development process are ensured; the real-time water injection strategy is optimized by dynamically predicting and adjusting the oil-water output ratio through the water drive curve model, the water injection rate is dynamically adjusted through the nonlinear prediction control model, it is ensured that the system can still operate stably in the complex dynamic environment, and the water injection efficiency and the recovery efficiency are remarkably improved.

The invention discloses a remaining oil distribution prediction method and system, a control device and a storage medium, and the method comprises the steps: obtaining a multi-scale fusion feature vector according to wide-area apparent resistivity data, seismic attribute data, optical fiber time sequence signal data, nano tracer tracking data and pore network point cloud data, inputting a physical constraint neural network to obtain a residual oil saturation initial value and a pressure gradient initial value of each region of the target layer, wherein a loss function comprises data fitting item loss, Darcy law physical constraint loss and mass conservation constraint loss; the real-time water content and the bottomhole flowing pressure of the production well serve as observation data, and a static parameter correction value, a remaining oil saturation correction value and a pressure gradient correction value are obtained through correction based on an ensemble Kalman filtering algorithm; the static parameter correction value and the pressure gradient correction value are fed back to a physical constraint neural network for loss function updating; and determining a remaining oil distribution result of the target layer. According to the invention, the accuracy and timeliness of residual oil distribution prediction can be improved.

The invention discloses a phosphogypsum leachate-carbonate rock dynamic corrosion reaction analysis method based on numerical simulation, and aims to research a migration-corrosion coupling mechanism of acid leachate in a carbonate rock fracture network. The method comprises the following steps: firstly, acquiring a two-dimensional image sequence of a rock core sample through CT (Computed Tomography) scanning, carrying out operations such as threshold segmentation, membrane enhancement and a light shading algorithm on an image by utilizing AVIZO software, extracting fracture structure parameters and establishing a high-precision three-dimensional model; then, multiple groups of simplified models with different fracture widths are constructed in COMSOL Multiphysics, a Darcy flow field and a solute concentration field are coupled on the basis of the Darcy law and a dilute matter transfer theory, and the dynamic corrosion effect under the multi-field coupling effect is quantitatively represented by setting hydraulic gradient boundary conditions and chemical reaction kinetic parameters; the dynamic corrosion reaction process of calcium ions, hydrofluoric acid, sulfuric acid and phosphoric acid in the ardealite leachate and carbonate rocks with different crack widths is accurately simulated.

A karst aquifer is composed of bedrock fissures, karst pipelines and other media, and an existing model generally assumes that a linear equation or a nonlinear equation with a fixed power exponent is adopted to quantitatively describe karst pipeline-matrix exchange flow according to the Darcy law. And a nonlinear exchange flow process existing in a pipeline-matrix under the development condition of different karst wide fractures cannot be reflected. In order to overcome the defects, the invention provides a karst fissure development-based pipeline-matrix water flow exchange calculation method. Different degrees of fracture development are simulated by designing indoor experiments, a nonlinear exchange flow equation Qex = alpha (Hc-Hm) n is proposed by fitting experimental data with a regression analysis method, the nonlinearity n changes according to different development of wide fractures, and the value range of the nonlinearity n is larger than or equal to 0.5 and smaller than or equal to 1. The CFP model is improved on the basis of the equation, compared with an original CFP model, the decisive coefficient (R2) and the Nash efficiency coefficient (NSE) of indoor experiment results designed through numerical simulation are improved by 11% and 12% respectively, and the root-mean-square error (RMSE) and the percentage deviation (PBIAS) are reduced by 45% and 44% respectively.

The invention relates to the technical field of mining methods, in particular to a mining method for a coal gangue filling goaf, which comprises the following steps of: SI, early-stage geological exploration; s2, selecting equipment and constructing a monitoring system; s3, gangue pretreatment and filling material preparation; s4, mining and filling operation; s5, quality detection and evaluation; s6, later maintenance; according to the mining method, the geological structure, the rock mechanics parameters and the hydrogeological conditions of the goaf are analyzed in detail by comprehensively applying the geological radar, the drilling technology, the rock mechanics experiment and the Darcy law. The water guide channel can be found in advance, water inrush accidents are prevented, and a reliable basis is provided for follow-up mining and filling operation; an automatic monitoring system is built, sensors are installed at key positions of a goaf and a filling system, pressure, displacement and flow data are transmitted to a monitoring center in real time through the Internet of Things technology, filling parameters can be adjusted in time according to the monitoring data, and the stability and safety of the filling process are guaranteed.

The invention discloses a mountain tunnel waterproof layer geotextile transverse permeability coefficient prediction method which comprises the following steps: correcting the solid volume fraction of a geotextile by adopting a thickness coefficient, correcting the fluid initial resistance borne by fibers and the initial length of the fibers by adopting a fiber orientation coefficient to obtain the total fluid resistance borne by the fibers, and predicting the transverse permeability coefficient of the geotextile. Calculating a permeability coefficient based on a Darcy law, and correcting a transverse permeability coefficient resistance model by adopting a thickness coefficient; a thickness coefficient is adopted to correct the maximum pore diameter and the cross section area, an empirical formula of fractal dimensions is established according to existing data, and then a fractal model for correcting the transverse permeability coefficient is established; the product of the surface density and the thickness of the geotextile serves as a demarcation index, and the two models are combined to form a comprehensive model. The model not only can consider the influence of the disordered fiber distribution and the external load effect on the transverse permeability of the geotextile, but also can be suitable for predicting the transverse permeability coefficient of the geotextile with different thicknesses and surface densities, and is high in prediction precision and strong in applicability.

The invention provides a prediction method and system for a temperature field in a high-ground-temperature tunnel, and belongs to the technical field of tunnel construction.The prediction method comprises the steps that S1, an initial value of the high-ground-temperature tunnel is obtained; s2, building a surrounding rock tunnel model; s3, the surrounding rock tunnel model is set to be in a non-uniform temperature field, and the initial value of the high-ground-temperature tunnel is substituted into the surrounding rock tunnel model to initialize the model; s4, the air flow temperature is set in the initialization model; setting underground seepage water in the initialized model by adopting a Darcy law so as to form a coupling tunnel model after coupling of the surrounding rock, the underground seepage water and the wind current; and S5, predicting a temperature field in the high-ground-temperature tunnel by using the coupling tunnel model. According to the invention, the coupling of surrounding rock, underground seepage water and wind flow is realized, the temperature field distribution in the high-ground-temperature tunnel is simulated, and the potential risk existing in the high-ground-temperature tunnel construction can be predicted according to the simulated temperature field.

The invention relates to the technical field of underground hydrogen storage, and discloses an underground hydrogen storage prediction method coupled with a chemical reaction. The method comprises the following steps: determining the hydrogen leakage flux of the underground hydrogen storage according to reservoir information of the underground hydrogen storage based on the Darcy law; according to three-phase substances including mineral composition, solution composition and gas composition of the underground hydrogen storage, a physical model containing a mineral-fluid-gas storage three-phase substance equilibrium relation of the underground hydrogen storage is established by utilizing the law of conservation of substances; according to the dissolution trends of different minerals in the underground hydrogen storage under the hydrogen-fluid-rock chemical reaction system, a dissolution kinetic model of the different minerals is established; and according to the hydrogen leakage flux, the coupling physical model and the dissolution kinetic model, obtaining the change conditions of mineral composition, solution composition and gas composition in the underground hydrogen storage library caused by hydrogen-fluid-rock chemical reaction under the hydrogen leakage flux, so as to predict the hydrogen storage condition of the underground hydrogen storage library.

The invention provides a crack permeability calculation method considering a crack rough wall surface structure, and belongs to the technical field of seismic exploration data processing. The method comprises the following steps: determining the physical size of a required rough wall surface crack model, outputting point cloud coordinate data of a crack wall surface, constructing an interpolation function, and creating the crack wall surface; the method comprises the following steps: establishing a cuboid, segmenting the cuboid by using fracture wall surfaces, reserving an area between two fracture wall surfaces after segmentation, namely a fracture calculation domain, performing flow numerical simulation by applying an N-S equation, and simulating to obtain a pressure gradient and a flow rate of fluid flow in a fracture; and fitting a relation curve of the flow and the pressure gradient by using a nonlinear curve, finding a critical point when the linear flow is transited into the nonlinear flow, calculating a critical coefficient and a corresponding critical flow, and calculating the critical permeability of the rough wall surface crack model according to the Darcy law. According to the method, the problems that conventional fracture form characterization is difficult and uncontrollable, and the Darcy law is not suitable for describing nonlinear seepage in the fracture of the rough wall surface are solved.

The application discloses a kind of calculation methods for predicting cement-based material dry shrinkage viscoelastic deformation, comprising the following steps: establishing cement-based material structure model;Using Darcy's law, Fick's law and phase change law to describe the moisture transport behavior occurred in the drying process of cement-based material;Based on the basic law of thermodynamics, the constitutive equation of cement-based material in the drying process is established;Establish humidity-mechanical coupling equation, determine the instantaneous elastic deformation of cement-based material dry shrinkage;Based on Boltzmann superposition principle, determine the time-dependent viscous deformation of cement-based material dry shrinkage, obtain the total deformation of cement-based material dry shrinkage;Determine the calculation parameters, predict the dry shrinkage of target cement-based material under specific conditions.The present application solves the problem that the current cement-based material dry shrinkage viscoelastic deformation prediction model is often an empirical model fitted under specific experimental conditions, with low accuracy, no universality and scalability.

The application discloses a high-permeability deep-water-level artificial lake anti-seepage composite structure construction method based on Ansys+BIM technology and relates to the technical field of artificial lake anti-seepage structure construction. The high-permeability deep-water-level artificial lake anti-seepage composite structure construction method based on Ansys+BIM technology utilizes BIM technology to construct a high-permeability deep-water-level artificial lake three-dimensional model, imports the BIM model into Ansys software for finite element analysis, analyzes the anti-seepage performance of the waterproof blanket under different conditions, analyzes the seepage law thereof by using Darcy's law, finally obtains actual technical parameters and an allowable deviation range in the construction process by simulating different scenes, and provides technical guidance and reference for high-permeability deep-water-level artificial lake anti-seepage composite waterproof blanket construction. The high-permeability deep-water-level artificial lake anti-seepage composite structure construction method based on Ansys+BIM technology solves the problems of low construction precision, complex technical process, excessive deviation, poor sealing performance and the like.

The application provides a rock creep model construction method and system based on cyclic water flooding-stress coupling, and relates to the technical field of rock mechanics and engineering.The initial physical and mechanical properties of a rock sample are tested through a permeation experiment and a stress permeability experiment to obtain water permeability and stress permeability, a covariance matrix of characteristic parameters is obtained by using principal component analysis, the principal components related to water permeability and stress permeability are screened out, rock fracture sensitivity coefficients and stress sensitivity coefficients are calculated, a water migration equation is constructed based on Darcy's law, and is coupled with the sensitivity coefficients to form a rock creep relationship and construct a rock creep prediction model, clustering analysis is performed by using historical data to obtain clustering intervals of different risk levels, and the risk level of the rock creep prediction value is determined.The application realizes accurate prediction of the creep behavior of rocks in a complex environment by coupling water permeability and stress permeability.

The invention discloses a coal roof water disaster early warning method and system, and the method comprises the steps: calculating a rock mass damage variable and a chemical corrosion rate according to micro-seismic monitoring data and underground water ion concentration data obtained in real time, and obtaining an instantaneous water yield coefficient; according to the stress data and the change rate of the rock mass damage variable, the mapping relation between the nonlinear seepage characteristics of the fracture network and the nonlinear degree of fracture expansion is calculated; on the basis of the Darcy law, the water yield coefficient is calculated according to the instantaneous water yield coefficient and the mapping relation; preliminarily screening a target early warning area in the coal roof according to the water yield coefficient; obtaining a multi-factor index of the target early warning area, calculating an early warning risk of the target early warning area, and generating an early warning signal according to the early warning risk; the multi-factor indexes comprise a channel index, a water source index and an intensity index. By adopting the embodiment of the invention, the dynamic evolution of the rock mass permeability along with time in the mining process can be fully considered so as to accurately carry out early warning on the water disaster of the coal roof.

The present invention discloses a method for predicting the migration process of micro-leakage methane in porous media, comprising the following steps: S1, constructing a prediction model; S1-1, gradually establishing partial differential equations of gas phase and water phase according to Darcy's law and the law of conservation of mass; S1-2, respectively processing the partial differential equations of gas phase and water phase using the implicit difference method of backward difference to obtain corresponding linear discrete equations; S1-3, combining the linear discrete equations obtained in step S1-2 to construct a model for predicting the distribution of methane concentration in porous media with depth and time; S2, obtaining training data S3, updating the model obtained in step S2 with the data obtained in step S3. The concentration change trend of micro-leakage methane in porous media can be accurately predicted, reducing the difficulty of monitoring the change of methane concentration, and contributing to accelerating the research progress of atmospheric methane and promoting the research of global greenhouse effect.

The present invention provides a method for simulating the surface crack expansion behavior of a steel bridge deck pavement layer under the action of dynamic water pressure based on discrete elements. The specific steps of the method are: first, a discrete element model of an asphalt pavement layer of corresponding size and gradation is generated according to the research objective; second, corresponding micromechanical parameters are assigned to the generated coarse aggregate particle clusters and asphalt mortar particles according to the macroscopic mechanical properties; next, based on Darcy's law, the Fish language is used in PFC2D to realize the coupling effect between the fluid and the asphalt pavement layer, and the number of dynamic water scouring, the number and development path of crack development, and the number of normal and tangential damages of particle bonding are collected in real time during the simulation process. When the number of dynamic water scouring actions reaches the target value, the simulation is terminated and the data results are exported to analyze the micromechanism of the surface crack expansion of the steel bridge deck pavement layer under the action of dynamic water pressure.

The application discloses a simulation method for quantitatively predicting gas seepage and crater formation evolution process in a hydrate area and related equipment, and the method comprises the following steps: obtaining three-dimensional seismic data of a target area, and obtaining thickness data through layer velocity modeling and time-depth conversion; based on the thickness data and pre-acquired physical parameters, a first quantitative relationship between gas column growth rate and seepage velocity is quantified by using Darcy's law; based on the first quantitative relationship, a second quantitative relationship of gas migration time is obtained through integral method processing; the first quantitative relationship and the critical condition of quicksand are solved together to obtain a third quantitative relationship of crater depth, and then a crater space form constraint is constructed; and based on the crater space form constraint and the pre-acquired average methane flux, the total methane flux of the target area is simulated. The application can realize physical constraint quantitative prediction of deep fluid seepage process and crater formation evolution, and can be widely applied to the technical field of data processing.

The invention discloses a near-field dynamics method for soil erosion and piping prediction, and relates to geotechnical engineering, and the method comprises the following steps: S1, building a solid model of a soil body and a water flow area; s2, endowing the model with material attributes according to experimental conditions; s3, performing spatial discretization on the model by adopting an orthogonal uniform discretization method to form material points occupying a specific space, generating a near-field range according to the size, dividing a water flow region and a soil body region, and generating water-water, soil-water and soil-soil bonds; s4, setting initial and boundary conditions, establishing a space integral equation of water flow movement based on near-field dynamics, and solving water flow diffusion by using a static implicit algorithm; s5, reconstructing the Darcy law to calculate the flow velocity of the fluid, and judging whether the soil body is eroded or not according to the flow velocity and the shear strength; and S6, constructing a spatial integral equation of solid expansion and sol migration of bentonite. When the soil body is not eroded, the volume fraction is solved, and otherwise, the migration state is calculated. The model can effectively simulate the fluid diffusion and soil erosion process, and provides a model framework for the prediction of the piping problem.

The present application relates to the technical field of unconventional reservoir development and drainage, and provides a hydrophilic unconventional oil horizontal well volume fracturing post-soaking time design method, which comprises the following steps: S100, evaluating reservoir wettability and determining that the reservoir is a hydrophilic reservoir; S200, establishing a horizontal well segmented cluster fracturing post-reservoir fluid seepage basic physical model and determining basic conditions of the soaking time design method; S300, determining a soaking time calculation formula based on Darcy's law and seepage velocity; S400, collecting data values of parameters of the soaking time calculation formula; and S500, substituting the data values into the soaking time calculation formula to calculate equivalent reasonable soaking time. The method can achieve the technical effect that unconventional reservoir volume fracturing horizontal wells can be opened and oil can be seen.

The present invention discloses a method for arranging monitoring wells and determining tracer injection boundaries for landfill leakage detection. The present invention aims to determine the injection amount of tracers in field tracer test injection wells and the arrangement of monitoring wells by using the migration law of tracers in landfill bodies and barriers. Considering the diffusion and convection of tracers in landfill bodies and barriers, a two-dimensional control equation for tracer migration is established in combination with Fick's law, Darcy's law and mass conservation equation, and the solution of the equation is obtained by Laplace-Fourier transform and Talbot numerical inversion. According to different characteristics of the landfill cover layer, garbage body and bottom liner, such as size, porosity and permeability characteristics, the injection amount of tracers and the arrangement method of barrier leakage monitoring wells are determined. The method proposed by the present invention is efficient and reliable in calculation, can be used for leakage detection and efficient positioning of barrier barriers in service landfills, and has important engineering value for the management of landfills.

The invention discloses a seaborne water pumping test tide influence-based permeability coefficient optimization method and system, and belongs to the technical field of seaborne water pumping tests. Sea level height data are obtained through tide monitoring equipment, an equally-spaced sampling sequence is generated, and the water level and the underground water ion concentration in the pumping well are synchronously collected; dynamically tracking a tidal signal dominant frequency and quantifying a time domain translation scale, and estimating a real-time permeability coefficient based on a Darcy law; constructing a fuzzy error prediction function and a Kalman filtering optimization model, and predicting a permeability coefficient adjustment amount; key parameters are dynamically optimized through the discrete time parameter updating model and fed back to the system. According to the method, the tidal dynamic influence and the groundwater response characteristics are fused, the problem of permeability coefficient calculation errors caused by tidal fluctuation in a traditional water pumping test is solved, the tidal influence can be quickly responded, and the precision and the real-time performance of offshore hydrogeological parameter evaluation are remarkably improved.

The invention relates to the technical field of oilfield development, and provides a prediction method and system for gas injection pressure of a newly developed oilfield. The method comprises the following steps: deploying gas injection wells at a preset distance from a set number of newly developed producing wells in a set range, injecting nitrogen into the gas injection wells, and driving crude oil in a stratum to move towards an oil drainage radius area of the set number of newly developed producing wells; the moment when the gas injection pressure wave and the front edge intersect with the oil drainage radius front edges of the newly developed producing wells with the set number is obtained to serve as the gas injection effective moment, and the flowing bottomhole pressure of the gas injection well before the gas injection effective moment and the flowing bottomhole pressure of the gas injection well after the gas injection effective moment are obtained through the Darcy law according to the original formation pressure; and finally, respectively solving the wellhead flow pressure of the gas injection well before the gas injection effect moment and the wellhead flow pressure of the gas injection well after the gas injection effect moment. According to the method, continuous prediction of the gas injection pressure of the gas injection well is achieved, and an important basis is provided for development index determination, displacement effect evaluation and surface pipeline type selection.

The present invention belongs to the field of capillary water rise flux testing and discloses a new method for predicting capillary water rise flux based on capillary water rise height. a , soil saturated permeability coefficient K s The capillary water rise flux is estimated by combining the derived mechanistic model with the correction coefficient λ for the modeled capillary water rise height and the fitting parameter β'. This paper divides capillary water rise into two stages. Based on Darcy's law under unsaturated conditions, a new mechanistic model for the variation of capillary water rise flux with height is derived and established. This model covers the entire water level rise process and has a wider range of applications compared to empirical models. The model fitting values ​​closely match the observed values.

The application discloses a kind of unconventional reservoir effective permeability prediction methods based on self-suction experiment, comprising: (1) obtaining unconventional reservoir physical property parameters, pore size distribution parameters, clay mineral basic characteristic parameters and fracturing fluid performance parameters;(2) establish unconventional reservoir self-suction micro force calculation model, including capillary force calculation model, clay mineral penetration pressure calculation model;(3) establish unconventional reservoir effective permeability model based on self-suction capacity, calculate the effective permeability of unconventional reservoir using self-suction capacity coefficient C.The application comprehensively considers the influence of tortuosity characteristics and self-suction force in unconventional reservoir, and based on Darcy's law, a theoretical model for predicting the matrix permeability of unconventional reservoir based on self-suction capacity is derived, which has the advantages of easy to obtain basic parameters, novel calculation method, small error and fast and convenient.

The application discloses a kind of mountain tunnel waterproof layer geotextile transverse permeability coefficient prediction method, comprising the following steps: using thickness coefficient to correct the solid volume fraction of geotextile, using fiber orientation coefficient to correct the initial resistance of fluid suffered by fiber and the initial length of fiber, to obtain the total resistance of fluid suffered by fiber, then calculate permeability coefficient based on Darcy's law and use thickness coefficient to correct transverse permeability coefficient resistance model;Using thickness coefficient to correct maximum pore diameter, cross-sectional area, and simultaneously establishing the empirical formula of fractal dimension according to existing data, and then establishing the fractal model of corrected transverse permeability coefficient;The product of the area density and thickness of geotextile is used as a boundary index, and the two models are combined into a comprehensive model.The model can consider the influence of random distribution of fibers and external load on the transverse permeation of geotextile, and is suitable for predicting the transverse permeability coefficient of geotextile with different thickness and area density, with high prediction accuracy and strong applicability.

The invention discloses a porous medium sand production calculation method under fluid-solid-stress comprehensive action, which comprises the following steps of: firstly, determining a particle falling critical condition by taking a solid-phase particle as a center, and determining a geometrical relationship and area fractal characterization based on material mechanics and a fractal theory; then, on the basis of a capillary bundle model and a Fourier formula, non-wetting phase fluid flow fractal characterization before and after solid-phase particle blockage under the fluid-solid-stress comprehensive action is obtained; and then combining the Darcy law to obtain the fractal representation of the permeability of the non-wetting phase under the comprehensive action of fluid-solid-stress. And finally, normalizing the permeability of the non-wetting phase, calculating normalized permeability under different displacement pressures, drawing a sand production curve, and determining a sand production critical condition. The method not only can be independently applied to loose, stress-sensitive and multiphase flow reservoirs with complex pore structures and difficulty in obtaining rock cores, but also can be applied to reservoirs under the combined action of the three reservoirs, a traditional sand production experiment is replaced, the prediction precision of the sand production critical condition is improved, and the rock core obtaining and experiment cost is reduced.

The application discloses a kind of deep shale reservoirs anti-channeling fracturing optimization method, system and medium, belong to shale oil and gas geological exploitation technical field;Including the following steps: obtaining the different scale fracture characteristics and ground stress distribution law of deep shale reservoir;Different scale fracture mechanics parameters and percolation parameter characteristics of rock sample are obtained;By using damage mechanics theory to construct deep shale reservoir multi-physical field coupling fracturing model of matrix characteristics of deep shale reservoir;Based on deep shale reservoir and different scale fracture characteristics, according to solid mechanics, porous medium and Darcy's law, the parameter is set, and the platform pressure numerical model is established;Based on platform pressure numerical model, the optimal fracturing chart affected by multi-scale fracture development is obtained by orthogonal experiment simulation, to determine the maximum effective fracturing volume and avoid interwell channeling of fracturing parameter combination;The application proposes a kind of deep shale reservoir anti-channeling fracturing optimization method, effectively ensures the efficient development of deep shale oil and gas.

The invention provides a detection device and method for a crushed particle aggregate, and relates to the technical field of sand prevention seepage characteristic detection, and the detection device comprises a detection kettle, a shooting device and a sand prevention detection assembly; the sand prevention detection assembly comprises a first liquid injection pump, a first container, a first weighing device, a second container and a second weighing device, one end of the first liquid injection pump is communicated with the first container, and the other end of the first liquid injection pump is communicated with the top of the detection kettle. The detection kettle adopts an annular sapphire glass observation plate and is matched with shooting equipment to record seepage channel evolution, a particle migration track and a tracer migration process in real time, and a sand prevention layer interception mechanism and a flow field distribution rule are visually presented. The porosity is calculated according to a mass method, and the permeability is solved according to the Darcy law, so that the sand prevention efficiency and the critical working condition are obtained. The device is modularized in structure, simple and convenient to operate and reusable, is particularly suitable for performance evaluation of various fragmented sand prevention filling materials, and has important significance on screening and proportioning optimization.

The present application belongs to the technical field of liquid detection, and discloses a non-contact liquid detection method, device, electronic device and storage medium. The method comprises: obtaining three-dimensional data of a storage container of a liquid to be detected, establishing a height-volume relationship matching model of the storage container based on the three-dimensional data, using the Antoine equation, Darcy's law and Raoult's law, and calculating the density of the liquid to be detected according to the liquid level height of the liquid to be detected after a preset time and the physical parameters of the liquid to be detected, inputting the liquid level height of the liquid to be detected after the preset time into the height-volume relationship matching model to obtain the volume of the liquid to be detected, and then calculating the mass of the liquid to be detected according to the volume and density; through the height-volume relationship matching model, using the Antoine equation, Darcy's law and Raoult's law, and calculating the volume, density and mass according to the liquid level height of the liquid after the preset time, so as to perform non-contact detection on the liquid, thereby improving the detection efficiency of the liquid.

The present application discloses a kind of defect geomembrane impermeable layer dynamic permeability coefficient test methods, to evaluate the permeability and stability of geomembrane with defects (such as holes) under different water head.The method includes determining soil sample particle size distribution, preparing defect geomembrane impermeable layer and carrying out water head saturation;Through multi-level permeation gradient parameter, permeation test is carried out step by step, and the amount of permeation, osmotic pressure and seepage phenomenon are recorded, and the permeability coefficient under each level of permeation gradient is calculated.Finally, the permeability coefficient data is fitted by statistical method, the change trend is analyzed, and the influence of defect on the performance of impermeable layer is evaluated.The present application establishes axisymmetric permeation model, assumes that water flow meets laminar flow condition and satisfies Darcy's law, and provides effective experimental basis for permeability analysis of geomembrane defect.The present application can be widely applied to performance evaluation and quality detection of geomembrane impermeable engineering.

Aiming at the problem that the effective distance of injected gas is difficult to accurately predict during the development of oil and gas reservoirs, the present invention proposes a method for calculating the effective effective distance of injected gas in oil and gas reservoirs based on diffusion and seepage theory, which relates to the field of oil and gas development. The present invention combines Darcy's law with Fick's diffusion law to establish a comprehensive model of seepage and diffusion, comprehensively considers physical parameters such as the porosity, permeability, viscosity of the reservoir, and injection conditions such as gas injection pressure, gas injection time, and gas injection rate, and accurately calculates the effective range of the injected gas; the method has wide applicability, clear expressions, strong calculation operability, easy use, more accurate calculation results, avoids the complicated workload of human experience judgment and numerical simulation, and can provide theoretical support for research on optimizing the layout of gas injection wells, reducing ineffective gas injection and gas channeling, and improving recovery rate, thereby further improving the efficiency and economic benefits of oil and gas field development.