43 results about "Resistivity inversion" patented technology

The invention relates to the technical field of dam leakage detection, in particular to a high-precision three-dimensional dam leakage detection method and system, and the method comprises the steps: laying a first measurement line and a second measurement line at the top of a dam, laying a third measurement line at an upstream slope of the dam, and laying a fourth measurement line at a downstream slope of the dam; the first measuring line, the second measuring line, the third measuring line and the fourth measuring line are respectively arranged in parallel; the method comprises the following steps: obtaining dipole-dipole data, tripolar data and gradient data respectively tested by a first test line, a second test line, a third test line and a fourth test line; according to the structural data, the dipole-dipole data, the three-pole data and the gradient data of the dam, constructing a joint resistivity inversion model of the dam; and positioning a leakage risk area of the dam according to the structural data of the dam and the combined resistivity inversion model. According to the invention, an accurate leakage detection result of the dam body is formed, so that leakage fault pre-diagnosis of the dam is realized.

The invention discloses a method and a system for constructing a multi-level geologic structure model based on electromagnetic detection, and the method comprises the steps: transmitting electromagnetic signals with different frequencies at all measurement points through an electromagnetic detector, carrying out the resistivity inversion through apparent resistance and impedance phase, obtaining a geologic electrical structure, dividing non-uniform and uniform electrical geology based on electromagnetic static displacement, and obtaining a multi-level geologic structure model. Analyzing an orthogonal component magnetic field to obtain an electromagnetic response parameter and a polarization ellipse parameter; determining an electric field diffusion curve; obtaining an electric field distribution model through finite difference method inversion; deducing underground geological spatial form and distribution law; and finally, calculating an electromagnetic response curved surface to obtain a two-dimensional profile curve, and performing three-dimensional reconstruction to obtain a multi-level geologic structure model. The method not only can improve the precision and reliability of the structure model, but also has good interpretability, and can be directly applied to a construction system of a multilevel geological structure model based on electromagnetic detection.

A 3D inversion method of DC method using seismic data constraints is disclosed, comprising processing of seismic data and inversion processing of resistivity data; by utilizing seismic wave interval velocity information to constrain the high-density electrical inversion, which can play a complementary role to a certain extent, it is beneficial to supplement the resolution of resistivity inversion with 3D seismic image information, reflect a boundary of subsurface electrical anomalous body, and further characterizes the boundary characteristics of anomalous body through comprehensive geological-geophysical analysis. Seismic data constraints are applied to 3D resistivity inversion, performing numerical simulation and inversion of electrical data under undulating terrain using the finite volume method and Gauss-Newton inversion method. Furthermore, the seismic anisotropic velocity tensor constraint is introduced for inversion to mitigate the non-uniqueness inherent in single-method inversion, yielding a more accurate 3D subsurface electrical structure and improving the resolution of longitudinal boundaries.

The invention discloses a method for data inversion by utilizing a multipoint geological statistical structure constraint direct current electric method, which belongs to the field of geophysical exploration, and comprises the following steps: based on geological drilling data, establishing a model containing geological structure information by adopting a multipoint geological statistical algorithm, and constructing an underground stratum structure operator by utilizing the model; a structure operator is added to a regularization term, an initial resistivity model is given to calculate a data residual term, and an inversion objective function with structure constraint is formed; in the inversion process, a finite memory quasi-Newton optimization algorithm is adopted to carry out iterative optimization on a target function until the difference between forward modeling simulation data and actually measured data reaches a set threshold value, and constraint inversion is completed; and finally, outputting the resistivity inversion model. According to the method, the problems of fuzzy stratum boundary, reduced resolution and the like caused by regularization smooth constraint in a traditional method are reduced, and the method is suitable for subsurface stratum structure detection and fine imaging in a complex geological environment and has wide application value.

The invention discloses a resistivity static sounding in-situ test probe for evaluating unfrozen water content and ice content of frozen soil and a working method thereof.The test probe comprises a sounding probe body and a probe rod which are vertically distributed, the sounding probe body is located at the bottom end of the probe rod, and a coaxial cable is arranged in the probe rod in a penetrating mode; a broadband signal generator, an embedded data processor, an inclinometer, an annular electrode array, a temperature sensor, a pressure measuring assembly and a friction cylinder are sequentially arranged in the probe rod from top to bottom. According to the invention, resistivity inversion calculation and temperature compensation calculation are carried out through the embedded data processor, and end resistance, friction resistance, inclination, temperature, unfrozen water content, ice content and thaw collapse coefficient are output; according to the method, mechanical parameters and electrical parameters are synchronously obtained, multi-physical field coupling analysis is combined, the frozen soil thaw collapse deformation in-situ testing method based on broadband resistivity static sounding is constructed, and the defect that the content of unfrozen water and the content of ice in a soil body cannot be detected through an existing static sounding technology in China is overcome.

The invention discloses a method for assisting resistivity inversion based on a geological map spatial database, which comprises the following steps of: S1, selecting a geological map with a specified proportional scale, constructing a geological map database, and extracting specified parameters of resistivity inversion; s2, constructing a gridding geological surface body, and obtaining a lithology distribution condition and a physical property parameter in each grid unit; s3, constructing an underground physical property distribution model by using the obtained parameter combination; s4, on the basis of a preset inversion optimization algorithm, geological constraints are introduced, and spatial variation regional regularization parameters are obtained through calculation according to the underground physical property distribution model and used for executing resistivity inversion calculation; s5, based on the resistivity obtained through inversion calculation, information data superposition and comparison are carried out in GIS software; and S6, defining a consistency scoring function, and quantifying an inversion result, a geological boundary line and a tectonic zone matching degree. According to the method, the existing geological information is utilized, the accuracy and efficiency of inversion modeling can be improved, and the geological consistency of inversion results is enhanced.

The application discloses a polarization anomaly information extraction method based on resistivity inversion results, and comprises the following steps: introducing a Cole-Cole model into controllable source one-dimensional forward calculation, and deriving one-dimensional frequency domain forward calculation formula containing induced polarization effect; simulating frequency domain electromagnetic field response under the condition of layered induced polarization medium, and analyzing the influence of induced polarization parameters in the Cole-Cole model on the electromagnetic field response; adopting a step-by-step processing strategy to carry out inversion processing on the electrical property parameters of the measured electromagnetic field data, so as to obtain geoelectric section resistivity data; and adopting mapping imaging and sensitive optimal layer recursive imaging to extract the geoelectric section resistivity data, so as to obtain induced polarization anomaly information contained in the electromagnetic field response. Through the above scheme, the application has the advantages of simple logic, accuracy and reliability, and has high practical value and popularization value in the field of geophysical exploration technology.

A hydrothermal type uranium mine deep structure detection method based on electromagnetic method combined inversion, comprising: based on wide area electromagnetic method and magnetotelluric method, respectively acquiring wide area electromagnetic data set and magnetotelluric data set of each measuring point on the measuring line, and synchronously collecting the resistivity of rock samples, and generating a physical parameter table according to the resistivity; the wide area electromagnetic data set and the magnetotelluric data set are subjected to one-dimensional Occam inversion, and first resistivity profile and second resistivity profile are respectively generated; according to the depth weight function, the physical parameter table, the first resistivity profile and the second resistivity profile, an initial resistivity model is generated; the inversion objective function is iteratively solved by using the combined inversion algorithm, and the two-dimensional resistivity inversion profile is output when the iteration is terminated; the two-dimensional resistivity inversion profile is interpreted according to the physical parameter table, and a three-dimensional structural framework is established by using the interpretation result; based on the three-dimensional structural framework and the two-dimensional resistivity inversion profile, the target area in the target mine field is obtained.

The invention discloses a region decomposition-based two-dimensional array resistivity inversion method, electronic equipment, a storage medium and a device. The method comprises the steps that area decomposition is conducted on a large array lateral logging response data set based on the layer interface position of a target area, a plurality of sub-areas are obtained, and every three adjacent stratums form one sub-area; the thickness and the center point position of each stratum are calculated, and then the thickness and the center point position of each sub-region are obtained; constructing a one-dimensional inversion model based on the stratum to perform one-dimensional array resistivity inversion; and constructing a two-dimensional inversion model based on the sub-regions to perform two-dimensional array resistivity inversion, and taking a one-dimensional inversion result as an initial parameter value of the two-dimensional inversion model. The method fully considers the influence of radial mud invasion and longitudinal surrounding rock layers, and strengthens the information constraint of the upper and lower well sections, thereby weakening the influence of surrounding rock, guaranteeing the extraction precision of the real resistivity of the stratum, and achieving the rapid and accurate imaging of the two-dimensional profile of the resistivity of the stratum.

The invention relates to the technical field of geophysical exploration, in particular to an electromagnetic method and microseismic monitoring combined observation inversion constraint method, medium and equipment, and the method comprises the following steps: constructing an underground resistivity model and a speed model; according to the corrected travel time difference, constructing an inversion objective function based on the micro-seismic first-arrival wave travel time difference, and obtaining speed model parameters through accompanying state method first-arrival wave travel time difference tomography; and constructing a magnetotelluric inversion objective function by using a regularization method, adding the velocity transverse gradient of the velocity model parameter discrete grid to a smooth constraint term of the resistivity model, and solving the magnetotelluric inversion objective function by using global optimization inversion to obtain an inverted resistivity model. According to the method, the speed model obtained through microseism monitoring travel time inversion has the characteristic of high lateral resolution, the lateral smoothness of the resistivity model can be reduced through natural exponential function weighting, and the lateral resolution of resistivity inversion is improved.

The embodiment of the invention relates to the field of electric or magnetic exploration or detection, in particular to a method and system for determining the extension form of a fracture deep part of a granite type uranium mine. According to the method and the system, the relation between the electrical difference and the underground geologic structure can be quantified by determining the relation between the electrical resistivity of the fracture area and the electrical resistivity of the peripheral area of the fracture area; an underground resistivity inversion cross-section diagram is determined according to the frequency-apparent resistivity of each measuring point, and the deep extension form of the fracture can be visually judged; according to the method, the frequency-apparent resistivity at the measuring point is determined only by using the electric field signal, so that the calculation result is more accurate; and in combination with an underground resistivity inversion section diagram of a detection section, the deduction of the deep extension form of the fracture can be more accurate.

The application discloses a cement mixing pile hole forming uniformity detection method based on resistivity three-dimensional imaging, and particularly relates to the field of nondestructive testing of engineering materials, and is used for solving the problem that the general resistivity inversion method is blurred in detecting the real defect boundary due to the smoothness constraint when detecting the discrete non-uniform body in the cement mixing pile, and false abnormal transition zones are prone to be generated, thereby affecting the detection accuracy; effective data is obtained by acquiring resistivity measurement data and screening, a partition constraint inversion strategy is adopted based on the effective data to weaken the smooth constraint on the core area of the pile body and to retain the conventional smooth constraint on the surrounding medium area, so as to generate a three-dimensional resistivity distribution result, the density clustering and spectral density analysis are extracted and utilized to verify the time and space of the electrical property mutation boundary, the continuous false abnormal transition zone is removed through similarity matching to generate a purified resistivity distribution result, and the uniformity detection conclusion is output based on the result, and the accuracy of the internal non-uniform defect recognition of the cement mixing pile is improved.

A system for creating an enhanced parametric map of an earth formation. A sensor obtains parameter data from the earth formation. A processor obtains an initial parameter map along at least a portion of a borehole through an earth formation. The initial parameter map includes a distribution of values of a parameter of the earth formation. A profile of the parameter is selected from the initial parameter map. A region is selected within the selected contour, and a location of a region boundary of the selected region is identified. A location of a region boundary of an adjacent region in an adjacent contour is identified and used to replace the selected region boundary. A location of a replacement region boundary is determined using locations of region boundaries of adjacent regions in the adjacent contours. An enhanced parameter map with replacement region boundaries is displayed.

The application discloses a tunnel three-dimensional resistivity deep learning inversion method based on initial model constraint, and aims at the problems that the existing tunnel three-dimensional resistivity inversion result is easy to fall into local optimum, iteration is not easy to converge, and the generalization performance of the prediction result is insufficient by only adopting the forward data as the input value of the deep learning network, the resistivity prediction network is constructed, the initial model obtained by converting the forward data and the seismic exploration is simultaneously used as the input end of the resistivity prediction network, and the resistivity geological model is used as a label to perform training. Compared with the conventional deep learning resistivity inversion method by only using the forward data, the method can incorporate certain prior geological information through the constraint of the initial model, so that the stability and precision of the detection data processing are improved, and the generalization capability of the inversion is effectively improved.

The application belongs to the technical field of geophysical signal processing and analysis, and specifically discloses an airborne transient electromagnetic data resistivity inversion method and device based on a genetic algorithm, which comprises the following steps: taking a resistivity model and a transmitting coil height as input, taking airborne transient electromagnetic observation response data as output, and training a deep learning network model to obtain a forward simulator; determining the optimal population number of the genetic algorithm according to the inflection point of the efficiency curve of the forward simulator, then generating an initial population by using a sliding smooth population sampling method, and forming a continuous resistivity model after processing by cubic spline interpolation; coupling the forward simulator to a parallel genetic algorithm parameter inversion framework to generate a target network model; and based on the inversion framework, performing resistivity inversion on the analyzed airborne transient electromagnetic data to obtain multiple groups of smooth resistivity models that meet data fitting differences. The application can significantly improve the reliability of transient electromagnetic data resistivity inversion.

The invention discloses a transient electromagnetic data driving and physical constraint combined two-dimensional resistivity inversion method and system, and relates to the technical field of geophysical electromagnetic exploration and artificial intelligence inversion, and the method comprises the steps: collecting or generating transient electromagnetic multi-time-channel observation data, carrying out the preprocessing, and constructing a pseudo-profile input employing a time channel-measurement point as a core; inputting the pseudo section into a convolutional neural network inversion model to obtain an initial two-dimensional resistivity section; and on the basis of frozen convolutional neural network parameters, introducing a physical information constraint refinement network, carrying out residual error correction on the initial two-dimensional resistivity profile, and outputting a refinement two-dimensional resistivity profile and an error evaluation result through joint optimization of data fitting constraint, diffusion / smooth physical constraint, prior constraint and boundary range constraint. According to the method, the problems of high probability of artifacts, insufficient physical consistency and poor generalization reliability of data-driven inversion are solved, and the stability and interpretability of an inversion result can be remarkably improved while the inversion efficiency is kept.

The application provides a tunnel induced polarization inversion imaging method and device, and the tunnel induced polarization inversion imaging method comprises the following steps: establishing a resistivity initial model m0; performing inversion iteration according to the resistivity initial model m0 and outputting a resistivity model m1; establishing a polarization rate initial model η0; constructing a polarization rate reference model η based on the resistivity model m1 r2 ; performing inversion iteration according to the polarization rate reference model η r2 , and outputting a polarization rate inversion result η1. The tunnel induced polarization inversion imaging method is based on the idea of sequential inversion, a polarization rate inversion reference model is constructed under the premise of obtaining a resistivity inversion result, a polarization rate inversion reference model η r2 is constructed and a polarization rate inversion reference model constraint inversion equation is derived, the tunnel induced polarization inversion imaging method ensures that inversion converges in the correct direction, and solves the problem that traditional polarization rate inversion is prone to local optimization and difficult to converge.

A system can provide a dynamic multi-distribution model to facilitate a wellbore operation. For example, the system can receive, from a downhole tool deployed in a wellbore during a drilling operation, resistivity data for a geological formation associated with an interval of the wellbore. The system can further execute a resistivity inversion algorithm to generate distribution outputs of a resistivity inversion model using the resistivity data. Additionally, the system can select a section of each of the distribution outputs. Each section of each distribution output can correspond with a different segment of the interval of the wellbore. The system can then generate a dynamic multi-distribution model. The dynamic multi-distribution model can include the sections selected from each of the distribution outputs. The system can further output, by a user interface, the dynamic distribution output, which can be used to adjust the drilling operation.

The application discloses a time-frequency electromagnetic resistivity inversion method based on resistivity and layer thickness threshold model constraints, comprising the following steps: determining an inversion depth, collecting geological information of a target area, constructing a geological model, and obtaining a two-dimensional geological model information graph of an inversion profile; determining inversion stratum information according to physical properties, and determining the electrical property layer thickness and resistivity value of the target area to constitute a solution space of the geological model; performing forward modeling on a group of random models in the solution space of the geological model to obtain a forward modeling response function; constructing a target function by using the forward modeling response function and the geological model; determining a fitting difference function of the target function and a preset iteration number, and obtaining a constraint term of the geological model; obtaining a correction amount of the geological model according to the constraint term, and combining the fitting difference to perform correction or performing correction according to the preset iteration number. In conclusion, the application has the advantages of simple logic, strong correlation, reliable inversion and the like.

The disclosure presents processes to receive at least one set of ultra-deep resistivity data, and at least one additional set of measurements. The set of measurements can be resistivity data or other sensor measurements, for example, nuclear, magnetic resonance, seismic, acoustic, temperature, or pressure. The set of measurements can be data for which a relationship between the formation values and the formation porosity or fluid saturation exists. For example, acoustic or seismic compressional velocity, shear velocity, density or a ratio thereof such as acoustic impedance, compressional wave (vp) / shear wave (vs) velocity ratio, or other relationships. The processes can identify rock physics forward models to utilize as well as respective constitutive equations. Various inversion algorithms can be applied to the resistivity data and set of measurements to generate an inversion output. The inversion output can be utilized to determine subterranean formation characteristics, such as porosity, density, or fluid saturation.

The invention discloses a resistivity inversion method and device based on well seismic information constraint, electronic equipment and a medium. The method comprises the following steps: fitting longitudinal wave impedance and resistivity in logging data to obtain a fitting empirical formula; performing inversion to obtain longitudinal wave impedance, and calculating first resistivity through the longitudinal wave impedance obtained through inversion and a fitting empirical formula; a stratum framework is constructed, and a second resistivity model is obtained by adopting a Crisgin interpolation method in combination with the resistivity logging data; fusing the first resistivity and the second resistivity by using attribute fusion based on LLE to obtain a well seismic constraint resistivity model; and based on a well-seismic constrained resistivity model, inverting resistivity data by using the acquired time-domain electromagnetic data and adopting a finite memory quasi-Newton method-based global electromagnetic inversion technology. According to the invention, logging and horizon information and wave impedance information of an earthquake are fused to constrain resistivity inversion, and resistivity inversion based on well-earthquake information constraint is realized.

The invention discloses a cement mixing pile pore-forming uniformity detection method based on resistivity three-dimensional imaging, and particularly relates to the technical field of engineering material nondestructive testing. The method is used for solving the problem that a real defect boundary is fuzzy due to smoothness constraint when a general resistivity inversion method is used for detecting a discrete non-uniform body in a cement mixing pile, and meanwhile, a false abnormal transition region is easily generated, so that the detection accuracy is influenced. Effective data are obtained by acquiring resistivity measurement data and screening, smooth constraint of a pile body core area is weakened by adopting a partition constraint inversion strategy based on the effective data, and conventional smooth constraint of a peripheral medium area is reserved to generate a three-dimensional resistivity distribution result. According to the method, the electrical abrupt change boundary is extracted and subjected to space-time verification by utilizing density clustering and spectral density analysis, then a continuous false abnormal transition region is eliminated through similarity matching to generate a purified resistivity distribution result, and a uniformity detection conclusion is output based on the result, so that the accuracy of identifying the non-uniform defect in the cement mixing pile is improved.

The application discloses a time-lapse resistivity inversion imaging method based on time sequence gradient structure constraint. First, apparent resistivity data at multiple time points are collected. In the initial monitoring stage, conventional electrical methods are used for separate inversion imaging. In subsequent time points, gradient structure constraints of the previous time point are introduced into the traditional electrical method regularization inversion objective function, that is, gradient structure information of the inversion result of the previous time point is introduced into the inversion objective function to constrain, so that the next time inversion imaging result based on the gradient structure constraint of the previous time model is obtained. The electrical difference of the next time point is effectively regulated, the resolution of the gradient structure constraint inversion is higher, the ability of the inversion model in boundary analysis is enhanced, the change process of the geological condition is accurately captured, and finally the formation process of the geological anomaly body can be effectively distinguished. The resolution of the time-lapse resistivity method to the anomaly body boundary is improved, and the accurate monitoring of the development process of the geological anomaly body is realized.

The invention discloses a combined advanced detection method based on borehole transient electromagnetism and direct-current resistivity, and the method comprises the steps: laying an advanced borehole in a tunnel face in a tunneling direction, carrying out the collection of borehole transient electromagnetic data, and carrying out the inversion, and obtaining a borehole transient electromagnetic inversion result; according to an inversion result and a corresponding estimation method, calculating to obtain Gaussian variation models in three main axis directions, and expanding the Gaussian variation models to any direction; then, the Gaussian variation model in any direction is substituted into a covariance calculation formula, a covariance value between any two grid units in the area needing to be detected is obtained through calculation, and a covariance constraint matrix is assembled; and finally, introducing the matrix as a regularization item into an inversion objective function of direct-current resistivity advanced detection to realize covariance constrained direct-current resistivity inversion, so that the inversion stability and the inversion imaging precision of the direct-current resistivity advanced detection are remarkably improved, and the method is suitable for scenes such as tunnel face or coal mine underground tunneling advanced detection and the like.

The invention discloses a resistivity three-dimensional inversion method based on underground water seepage parameter constraint, and relates to resistivity inversion, and the method comprises the following steps: building a three-dimensional model, and determining model parameters; inputting an initial model and observation data; performing forward numerical calculation by adopting finite difference to obtain a model electric field value, and comparing the electric field value obtained by forward modeling with observation data to obtain a data error; calculating a cross gradient term of the model resistance and the hydrological parameters in a physical property space; establishing an objective function, calculating the gradient of the objective function, taking a nonlinear conjugate gradient method as an inversion method, and obtaining a search step length and a search direction through a quasi-forward modeling mode; judging whether the linear search convergence condition converges or not, if yes, entering the next step, otherwise, updating the model, and returning to forward calculation; and calculating a data root mean square error, if convergence occurs, ending iteration, otherwise, updating the step length and the search direction, calculating a model update amount, and returning to forward calculation.

The invention relates to a system for surface and underground feature integrated visualization based on multi-software cooperation, and the system comprises a data collection module which is used for obtaining underground feature data and surface feature data; the data processing module is used for performing enhancement processing on the underground feature data and the earth surface feature data and respectively creating a resistivity inversion curved surface model and an earth surface feature line frame model; and the modeling and visualization module is used for carrying out spatial synchronous fusion on the enhanced data and the earth surface feature line frame model of the earth surface features, and carrying out visual display through an environment visualization system. According to the method, the data transmission process is optimized, and the problem of multi-software compatibility is solved, so that comprehensive, accurate, visual and integrated display of building or construction site information is ensured, and efficient and visual support can be provided for analysis and decision-making of complex scenes.

A system can provide a dynamic multi-distribution model to facilitate a wellbore operation. For example, the system can receive, from a downhole tool deployed in a wellbore during a drilling operation, resistivity data for a geological formation associated with an interval of the wellbore. The system can further execute a resistivity inversion algorithm to generate distribution outputs of a resistivity inversion model using the resistivity data. Additionally, the system can select a section of each of the distribution outputs. Each section of each distribution output can correspond with a different segment of the interval of the wellbore. The system can then generate a dynamic multi-distribution model. The dynamic multi-distribution model can include the sections selected from each of the distribution outputs. The system can further output, by a user interface, the dynamic distribution output, which can be used to adjust the drilling operation.

The invention discloses a resistivity logging inversion initial value selection method, system and device and a medium. The method comprises the steps that a three-parameter radial step inversion model is established; substituting the pump-pumped slurry filtrate volume into the inversion model to calculate the radius initial value of the intrusive zone; calculating a formation resistivity inversion initial value according to the pumping formation water volume and the pumping formation oil gas volume through an Archie formula; and according to the initial value of the radius of the intrusive zone and the initial value of the resistivity of the intrusive zone, calculating an initial inversion value of the resistivity of the intrusive zone through the pseudo-geometric factor. The method can effectively reduce the deviation between the initial value and the true value of the inversion, can prevent the inversion algorithm from falling into a local optimal solution, improves the inversion precision, can reduce the number of inversion iterations, and accelerates the inversion processing speed.

The present application relates to the technical field of geophysical exploration, in particular to a method, medium and device for electromagnetic method and microseismic monitoring joint observation inversion constraint, the method comprising the following steps: constructing an underground resistivity model and a velocity model; constructing an inversion objective function based on the microseismic first arrival wave travel time difference according to the corrected travel time difference, obtaining the velocity model parameters through the first arrival wave travel time difference tomography by the adjoint state method; using a regularization method to construct the magnetotelluric inversion objective function, adding the velocity lateral gradient of the discrete grid of the velocity model to the smoothing constraint term of the resistivity model, and using global optimization inversion to solve the magnetotelluric inversion objective function to obtain the inverted resistivity model. In the present application, the velocity model obtained by the travel time inversion of the microseismic monitoring has the characteristics of high lateral resolution, and the use of the natural exponential function weighting can help to reduce the lateral smoothing of the resistivity model and improve the lateral resolution of the resistivity inversion.

The invention provides a direct-current resistivity inversion method, device, equipment and medium, and relates to the technical field of geophysical exploration, and the method comprises the steps: obtaining the observation apparent resistivity data of a target region; based on the observation apparent resistivity data, determining a resistivity preliminary structure corresponding to the observation apparent resistivity data; constructing a training sample data set of the target area based on the resistivity preliminary structure; based on the training sample data set and the weighted objective function, optimizing the width learning network to obtain a model for inversion; and based on the observed apparent resistivity data, the inversion model is adopted to invert the real resistivity data of the target area, so that the precision of the resistivity inversion result is improved, and the high-precision inversion of the underground resistivity structure is realized.