13 results about "Preferential flow" patented technology

The invention discloses a landfill well group optimization layout method based on permeability coefficient field inversion, relates to the field of well group optimization layout, and aims to utilize a finite element forward model to couple observation water level data and perform dimension reduction processing on grid nodes through characteristic decomposition. The technical core is that a bimodal distribution nonlinear mapping mechanism is introduced, and a low-dimensional parameter vector obtained by inversion is reconstructed into a high-resolution permeability coefficient field with clear space information of a fracture domain and a matrix domain. And according to the physical field distribution, a potential poor wetting area is positioned by identifying the position of a preferential flow channel and a hydraulic response blind area caused by the preferential flow channel. And based on the spatial relationship between the geometric centroids of the blind areas and the heterogeneous flow field, performing targeted correction and encryption on the initial well group coordinates. In this way, the technical problem that in the prior art, precise well spacing cannot be conducted according to the complex structure in the landfill is effectively solved.

A variety of methods and apparatus are disclosed, including, in one embodiment, a bailer to collect debris from a wellbore, the bailer including a passive check valve to provide preferential flow through an annular path over a central path of the bailer with the flow of debris-laden fluid and filtered fluid in an uphole direction through the bailer and provide preferential flow through the central path over the annular path with the flow of fluid in the downhole direction.

The application provides a test pit with a function of preventing preferential flow caused by a side wall gap, comprising a test pit wall and a soil layer, the test pit wall forms an accommodation space, and the soil layer is arranged in the accommodation space, characterized in that at least one anti-seepage member is arranged on the inner side of the test pit wall, each anti-seepage member comprises a vertical flange arranged close to the inner side wall of the test pit wall, a horizontal flange extending towards the center of the test pit, and a flexible anti-seepage film connecting the vertical flange and the horizontal flange, the horizontal flange can be bent relative to the vertical flange to form a folded state or an unfolded state, and the anti-seepage member is arranged in the shallow soil layer close to the soil surface. The application prevents the preferential flow caused by the side wall gap by arranging the anti-seepage member.

This invention discloses a numerical analysis method for fluid-structure interaction (FSI) of unsaturated slopes under free drainage conditions, belonging to the field of numerical analysis technology for slope engineering. The method includes: constructing an unsaturated multi-source parameter model of the slope region; building a dynamic boundary model with hysteresis response and gradual release characteristics based on boundary element water content, water potential gradient, and rainfall input information; jointly updating the internal water content gradient, local structural changes, and permeability coefficient field of the slope; correcting the seepage direction through a path enhancement factor; and identifying local preferential flow channels and seepage concentration areas. Iterative solutions are then obtained through adaptive time step adjustment, residual convergence control, and anomaly element correction strategies. This method improves the physical consistency of the free drainage boundary description, enhances the ability to identify preferential flow channels and local seepage concentration areas, and improves the computational stability and engineering applicability of FSI analysis of unsaturated slopes.

This invention provides a method for identifying the preferential flow path of microplastics in groundwater, relating to the field of groundwater pollution monitoring. The method includes: marking microplastic particles with an organotantalum compound via bulk embedding; adding the microplastic particles to a groundwater simulation solution to prepare a tracer suspension; introducing the tracer suspension into a groundwater simulation system and conducting a preferential flow tracer experiment; setting sampling points at different spatial locations within the groundwater simulation system and collecting water samples from each sampling point; quantitatively analyzing the tracer signals of the water samples from each sampling point to obtain the organotantalum compound content at each sampling point; and determining the preferential flow path of the microplastics in the groundwater simulation system based on the organotantalum compound content at each sampling point. This method addresses the technical problem of the lack of existing technologies for systematically identifying the preferential flow path of microplastics in groundwater systems based on particle tracer signals.

This invention discloses a three-dimensional quantification method for subsurface lateral preferential flow in arid and hot valleys based on GPR (Geophysical Permeability Reduction) detection and SSIM (Spatial Infiltration Model) analysis. It integrates time-delayed GPR scanning with artificial infiltration experiments and applies SSIM analysis to depict LPF (Limited Placement Flow) path activation, network structure evolution, and humid zone distribution in a three-dimensional manner. This method achieves, for the first time, three-dimensional non-destructive quantification of the dynamics of the LPF network on arid and hot valley slopes. The established hydrogeophysical data acquisition and post-processing workflow provides a crucial and transferable research method for quantitatively analyzing the interaction between structural connectivity and process connectivity in slope runoff generation and confluence. This method overcomes the limitations of traditional two-dimensional slope LPF analysis by quantitatively characterizing the spatiotemporal dynamics of subsurface three-dimensional connectivity. It provides direct support for improving the water cycle mechanism in arid and hot valleys and improving hydrological models based on physical mechanisms, and provides a scientific basis for sustainable management decisions in water conservation areas of arid and hot valleys under climate change conditions.

The invention discloses a water and soil loss simulation method and system under the action of surface runoff-soil priority flow in a coal mining subsidence area, and belongs to the technical field of ecological environment simulation in a coal mining area. The method comprises the following steps: collecting multi-dimensional data of the subsidence area, preprocessing the collected multi-dimensional data, and establishing an associated database; establishing a subsidence area landform and fracture dynamic evolution model based on the association database; rainfall scenes of different stages are established based on the association database; performing surface runoff and soil priority flow coupling simulation through the coupling model; a simulation result is verified, and model correction and parameter adjustment are carried out on landform simulation errors and priority flow simulation errors respectively; the simulation result is visually displayed, and a standardized simulation report is generated and output; according to the method, the water and soil loss mechanism of the coal mining subsidence area can be comprehensively analyzed, key indexes such as the surface runoff and the soil erosion modulus are accurately obtained, and a scientific basis is provided for formulating ecological restoration and prevention and control strategies.

This application relates to a high-precision magnetic imaging method, apparatus, equipment, and medium for underground dominant flow channels. The method includes: responding to the need for high-precision magnetic imaging of underground dominant flow channels, preparing a magnetotactic bacterial tracer fluid and constructing a target medium model; based on an underground flow field magnetic detection platform, controlling the injection of the magnetotactic bacterial tracer fluid into the target medium model and collecting magnetic field data throughout the seepage process; processing the magnetic field data using a geophysical inversion algorithm to obtain a magnetic parameter matrix; based on the relationship between penetrating magnetic signal characteristics, metal shielding coefficient, fluid shear rate, and macroscopic flow velocity, inverting the magnetic parameter matrix into a flow velocity vector field matrix; and obtaining the imaging results of the underground dominant flow channel based on the target medium model and the flow velocity vector field matrix. This solves the problems in related technologies, such as the inability to penetrate metal shielding structures, susceptibility to solid particle blockage, restricted transport, environmental background noise interference, and the inability to eliminate static background effects.

The present application belongs to the technical field of micro-interface dynamics research, and relates to a method and system for realizing prediction of micro two-phase interface imbibition behavior of porous media, comprising: obtaining a pore network composed of pores and throats according to a target porous medium; calculating the flow rate of injected two-phase fluid at the throat; calculating the fluid flow rate under the main interface displacement mode and the wetting mode displacement mode respectively according to the flow rate of injected two-phase fluid at the throat; determining the displacement mode of the two-phase fluid interface according to the fluid flow rate ratio under the two displacement modes; calculating the corresponding flow resistance at the throat according to the displacement mode of the two-phase fluid interface; updating the motion control equation of the two-phase fluid according to the flow resistance, thereby completing the prediction of the micro two-phase interface imbibition behavior of the porous medium. The present application clearly defines the preferential flow path and dynamic evolution mode of different types of interfaces in the displacement process in the complex pore structure of the porous medium, and realizes accurate discrimination of the fluid interface type under transient conditions.

The present application relates to a kind of identification method of dominant percolation channel, belong to oilfield development technical field.The present application first describes the basic geological characteristics of reservoir according to the geological element influencing dominant percolation channel;According to the historical well pattern adjustment data, determine injection-production well pattern, different well group injection-production effect direction parameter value obtained from historical production situation;Then, according to the reservoir engineering method, determine the water passing multiple and permeability in injection-production effect direction;Comprehensive production dynamic monitoring data further analyzes the water passing multiple in different injection-production direction, and determines the lower limit value of physical property and water passing multiple in different level dominant percolation channel;Finally, delineate different level dominant percolation channel, realize the identification of dominant percolation channel.The present application integrates dynamic and static data, overcomes the traditional dynamic monitoring data-based dominant channel identification, improves the precision of dominant percolation channel prediction.

The invention relates to the technical field of mining engineering, environmental geotechnical engineering and water and soil conservation, and particularly discloses a coal mining subsidence area water and soil loss similar simulation device and experimental method.The coal mining subsidence area water and soil loss similar simulation device comprises a support and an experimental box, the experimental box is installed on the support, an experimental soil body is arranged in the experimental box, and a subsidence crack simulation system is arranged in the experimental soil body; the top of the experiment box is matched with a rainfall system; the subsidence fracture simulation system comprises a middle box body arranged in the middle of the experiment box, the middle box body is embedded in an experiment soil body of the experiment box, an experiment soil body is also arranged in the middle box body, and one or more fracture plates are embedded in the middle box body in a matched mode. The method can physically reproduce a complete erosion path of'surface runoff collection-fracture preferential flow-lateral matrix infiltration 'of the subsidence area, and accurately quantify the effect of the fracture in acceleration of water and soil loss.

The invention discloses a bionic-driven soil infiltration process simulation optimization method, which comprises the following steps: preprocessing and standardizing multi-source data, and enabling a root system voxel unit to correspond to a hydraulic response of a specific time step through a time-space registration unified coordinate system; a model architecture fusing root system features and infiltration dynamics is constructed, and a cross-modal fusion cross attention mechanism module realizes bidirectional mapping of spatial features and time features and embeds physical constraints; training and optimizing the model by adopting a staged course learning strategy, adjusting the learning rate through a physical perception optimizer, and improving the generalization ability of the model in combination with importance sampling and adversarial training; and outputting a priority flow prediction result based on the trained model, and analyzing the prediction result from microcosmic, mesoscopic and macroscopic scales through an interpreter. Therefore, the method has the advantages of high prediction precision, strong applicability, low parameter acquisition cost, introduction of a dynamic mechanism, physical rationality and the like.

The present application relates to the technical field of saline soil improvement and monitoring, and specifically discloses a method for detecting and analyzing the effect of salt leaching of a coastal severe saline soil salt-blocking layer, which comprises: an intelligent sensing system deployed based on a research area, a distributed soil conductivity sensing array in the intelligent sensing system being used to obtain the spatial distribution of soil conductivity above the salt-blocking layer, an initial background field of salt leaching effect being constructed, and a potential failure area being located; an improved normalized difference water index and salt index spatial fusion algorithm being combined, image features of preferential flow paths being located by image recognition, and a failure area of the salt-blocking layer, i.e., a locally damaged or unevenly laid area, being determined; and high-density conductivity data above the salt-blocking layer being obtained by the distributed soil conductivity sensing array, an initial background field of salt leaching effect being constructed in combination with spatial interpolation and abnormal threshold extraction, and an abnormally high conductivity area being accurately identified, so that the defect that a traditional overall sampling cannot locate a local failure area is overcome, and a clear spatial direction is provided for repair.