92 results about "Apparent resistivity" patented technology

The invention discloses a dam leakage channel detection and danger elimination quality evaluation method based on transient electromagnetism, and relates to the technical field of earth and rockfill dam danger elimination and reinforcement. The method comprises the following steps: A, leakage channel detection: A1, data acquisition: performing data acquisition on a dam by adopting pull-type small loop transient electromagnetic equipment to obtain original electromagnetic signal data; a2, forward modeling: performing forward modeling on the acquired data, and calculating a theoretical attenuation curve and apparent resistivity distribution by considering special boundary conditions of the dam; and A3, carrying out inversion calculation. According to the method, leakage signals can be accurately captured based on the high sensitivity of a transient electromagnetic method to a low-resistance body, the used pull-type small-loop transient electromagnetic equipment is convenient to operate, a dam can be comprehensively covered by combining reasonable measurement point arrangement, forward modeling and inversion calculation can comprehensively consider various factors, the position and depth of a leakage area are determined, and the detection accuracy is improved. Compared with a traditional method, the method has obvious advantages in detection depth and accuracy.

The invention belongs to the technical field of earth and rockfill dam deep burying disease identification and positioning, and discloses an earth and rockfill dam leakage channel comprehensive detection method and system, and the method comprises the steps: determining the distribution of detection points detected by an electrical method, and collecting the apparent resistivity data and the apparent polarizability data of the detection points; inverting apparent resistivity and apparent polarizability data to obtain a resistivity profile and a polarizability profile, and obtaining a normalized polarizability profile based on the resistivity profile and the polarizability profile; performing stratum zoning on the to-be-detected area based on the section, determining the soil cation exchange capacity and the cementation index of the zoned stratum, and calculating the soil water content and the permeability of the measured section according to the normalized polarizability, the soil cation exchange capacity and the cementation index; and determining an earth and rockfill dam leakage channel according to a water content and permeability judgment mechanism. According to the method, the uncertainty of a single physical property threshold value method is overcome, and the accuracy and precision of the leakage hidden danger of the earth and rockfill dam are improved.

The invention relates to the technical field of data processing, discloses an earth and rockfill dam leakage positioning method based on joint inversion and data fusion, and aims to solve the problems of limitation and non-uniqueness of an existing single geophysical prospecting method in leakage hidden danger positioning. Converting the first apparent resistivity into a first apparent resistivity; second apparent resistivity distribution of the earth-rock dam is obtained through a high-density electrical method; acquiring electromagnetic wave velocity distribution by adopting a ground penetrating radar method, and converting the electromagnetic wave velocity distribution into third apparent resistivity; performing data standardization processing on the apparent resistivity to obtain standardized apparent resistivity data; performing dimension reduction fusion on the standardized apparent resistivity data corresponding to each apparent resistivity by adopting a principal component analysis method to obtain simulated apparent resistivity distribution; and determining the position of the leakage hidden danger channel in the earth-rock dam based on the pseudo-apparent resistivity distribution. The method improves objectivity, accuracy and reliability of leakage positioning, and is particularly suitable for danger removal and reinforcement of earth and rockfill dams.

The invention discloses a method for identifying logging interpretation electrical standard parameters, and solves the problems of inaccurate difference and low efficiency caused by the influence of subjective factors on the manual identification result of the logging interpretation electrical standard parameters in the prior art. The method comprises the following steps: S1, establishing a benchmarking array for a well section to be identified; s2, matching the target well data on the apparent resistivity curve A based on the established benchmarking array; obtaining optimal matching data; s3, determining a reference layer identified by the electrical standard; s4, identifying a microsphere standard, a sound wave calcium judgment standard and a deep three lateral standard; s5, identifying a microelectrode standard; and S6, identifying a micro-gradient calcium judgment standard. The device for realizing the automatic identification of the logging interpretation electrical standard parameters comprises an establishing unit; a matching unit; a determination unit; a first identification unit; a second identification unit; and a third identification unit. According to the method, logging interpretation electrical standard parameters can be rapidly identified, and quality improvement and efficiency improvement of logging interpretation reservoir thickness division work are assisted.

The invention provides a deep and large fracture depicting method based on low-frequency electromagnetic information recovery enhancement, and the method comprises the steps: S1, collecting electromagnetic data, and carrying out the preprocessing of the electromagnetic data, and obtaining the preprocessed electromagnetic data; s2, obtaining frequency domain apparent resistivity and phase according to the preprocessed electromagnetic data; s3, establishing a shallow stratum electrical model; s4, acquiring a depth domain apparent resistivity profile according to the shallow stratum electrical model; and S5, depicting deep and large fracture distribution based on the depth domain apparent resistivity profile. According to the invention, enhancement of low-frequency electromagnetic signals is realized, the inversion precision of electromagnetic data is improved, low-frequency geological information is effectively recovered, and deep and large fractures can be effectively described.

The application provides a three-dimensional geological modeling method and system for ductile shear zone type gold exploration, and relates to the technical field of gold exploration modeling. The application extracts a plurality of alteration anomaly zones related to gold mineralization hydrothermal alteration by acquiring multispectral remote sensing data of an exploration area; superimposes the anomaly zones to identify a prospecting target area and acquire electrical parameter data such as apparent resistivity and apparent polarization rate; determines the structural geological distribution in combination with surface geological mapping, divides a prospecting unit in space superposition with the target area, sets the electrical parameter range to establish a three-dimensional prospecting unit framework; and obtains the three-dimensional distribution of electrical parameters and the geological unit boundary by jointly inverting the electrical parameters as measured data, the framework and the parameter range, generates a three-dimensional geological model reflecting the spatial distribution of the gold mineralization body, and can accurately depict the spatial distribution of the ductile shear zone type gold mineralization body, thereby supporting efficient exploration.

The invention belongs to the technical field of geophysical exploration, and discloses a mine transient electromagnetic anomaly boundary identification method based on DBSCAN clustering. The method comprises the following steps: step 1, establishing a three-dimensional geophysical model; 2, calculating apparent resistivity data by using a small loop transient electromagnetic method; 3, drawing a k-distance map, and obtaining an optimal neighborhood radius according to the k-distance map; step 4, performing DBSCAN clustering on the apparent resistivity data to obtain a clustering result; 5, replacing the intra-cluster apparent resistivity value with a cluster center value to obtain replaced apparent resistivity data; step 6, imaging the replaced apparent resistivity data and identifying an abnormal body; 7, comparing the anomalous body boundary with the anomalous body boundary in the model, and if the difference is too large, adjusting the optimal neighborhood radius and returning to the step 4; and otherwise, taking the current abnormal body as a final identified abnormal body. The method can effectively identify irregular anomalous body boundaries of non-uniform complex stratums, and can adapt to real-time identification requirements of underground anomalous bodies.

The application provides a resistivity-based apparent resistivity correction method, system, medium and equipment, and relates to the technical field of electric field detection. The technical scheme provided by the application generates an in-group control scheme by matching a preset optimization target corresponding to an attribute label, adjusts a target control scheme according to inter-group influencing factors, and can adaptively adjust a measurement strategy according to geological characteristics. After collecting a vector receiving voltage, the initial apparent resistivity is vector synthesized according to a horizontal angle to obtain a target apparent resistivity, effectively solving the problem that a single component signal is weak and susceptible to noise interference in the traditional resistivity method. When a certain direction component signal is particularly weak or abnormal, the vector synthesis mechanism can avoid the appearance of negative apparent resistivity, improving data stability. The improvement of the final input data quality and the full use of vector information significantly improve the convergence of the inversion algorithm and the stability of the solution, can perform vector synthesis on the component signal, and improve the inversion effect of the resistivity method.

The invention discloses an anomalous body positioning method and system combining borehole transient electromagnetic and geological radar, and relates to the technical field of mine safety detection, and the method comprises the steps: synchronously collecting the borehole transient electromagnetic data and geological radar data of an ore body to be analyzed, and generating a borehole transient electromagnetic imaging graph and a borehole geological radar imaging graph; two-dimensional coordinates of a target abnormal point in the borehole geological radar imaging graph are extracted, and the corresponding target apparent resistivity is determined; drawing an apparent resistivity contour map based on the target apparent resistivity in a target radial sectioning map of the borehole transient electromagnetic imaging map, and determining a plurality of candidate three-dimensional coordinates of a target abnormal point; at least one target feature point is selected from the borehole geological radar imaging graph, and the feature apparent resistivity corresponding to the target feature point is determined; and drawing a feature circle based on the target feature points, and screening the plurality of candidate three-dimensional coordinates to obtain coordinates of the geological anomalous body. According to the invention, the technical problem of insufficient positioning precision and reliability in the prior art is solved.

The present application relates to the engineering geophysical exploration technical field, specifically to a kind of complex terrain direct current resistivity three-dimensional forward and inversion method and system based on octree;Method includes: establishing target information sequence;Three-dimensional geoelectric model based on octree grid is constructed using target information sequence, and local encryption is carried out in the surface near the detection area and electrode neighborhood, and the modeling result is output;Based on the modeling result, the underground active unit located below the terrain surface and the air unit located above the terrain surface are distinguished, the finite volume method is used to discretize and solve the direct current resistivity method potential field control equation of underground active unit, the theoretical potential response corresponding to electrode device is obtained, and the theoretical apparent resistivity response is obtained;Construct inversion objective function, and iteratively update resistivity parameters of three-dimensional geoelectric model using inversion strategy;The three-dimensional resistivity imaging result of underground medium in detection area is output through updated three-dimensional geoelectric model, and adverse geological body is identified.

The application relates to an exploration method based on frequency division electrical method of variable frequency signals and belongs to the technical field of electrical exploration, which comprises the following steps: determining the frequency value and the frequency quantity of each channel of a multi-channel frequency division electrical method transmitter based on an exploration purpose and exploration requirements; transmitting variable frequency signals to the underground by each channel of the multi-channel frequency division electrical method transmitter; obtaining the current value of each frequency transmitted by each channel of the multi-channel frequency division electrical method transmitter at a mobile power supply point; obtaining the potential difference of different frequencies measured by a multi-channel frequency division electrical method receiver at a measuring electrode pair and the phase difference of the potential difference of the corresponding frequency relative to the current of the same frequency power supply; determining the device coefficient based on the coordinates of the measuring electrode pair and all the mobile power supply points; calculating the apparent resistivity based on the apparent resistivity parameter formula corresponding to the electrode device; and obtaining the exploration interpretation result based on the apparent resistivity and the phase difference. The application has the effect of comprehensively and accurately collecting geoelectric information.

The invention belongs to the technical field of geophysical exploration, and provides a tunnel geological disaster advanced prediction method and system based on an orthogonal field source, and the method comprises the steps: constructing two groups of high-order pseudo-random signals, laying the orthogonal field source, and enabling the field source to transmit different groups of high-order pseudo-random signals; two groups of orthogonal observation points are arranged on a tunnel face and a tunnel bottom plate within a set distance, two field sources are excited at the same time, the two groups of observation points observe and collect received signals within set duration respectively, and electromagnetic field data of the corresponding field sources are extracted according to frequency components of emitted high-order pseudo-random signals; and according to the electromagnetic field data, calculating the single-component electric field apparent resistivity and the Kania apparent resistivity to obtain a detection result. According to the invention, the geological condition of the tunnel construction site can be detected.

The present application relates to the technical field of electromagnetic sounding, in particular to a multi-step variation AB-Hy encoding electromagnetic sounding one-dimensional inversion method and device, for the measured AB-Hy encoding electromagnetic sounding full area apparent resistivity observation value, the method presets the feasible solution space of one-dimensional horizontal layered model, randomly generates a population, forward calculation of the full area apparent resistivity of each individual in the population, calculates the fitness value of each individual in the population according to the full area apparent resistivity calculation value and observation value of each individual;Select the individual with the highest current fitness value as the optimal individual, and perform iterative calculation of multi-step differential evolution with the optimal individual participating in the population individual;The individual with the highest fitness value obtained is taken as the inversion result of the observation data. AB-Hy electromagnetic sounding one-dimensional inversion based on multi-step differential evolution algorithm is realized, the geoelectric model parameters corresponding to the observation data are obtained, and the basis for geological interpretation is provided. The method has fast optimization convergence speed and high accuracy of inversion result.

This invention discloses a wide-azimuth artificial source electromagnetic observation method, device, and medium. The method includes: selecting the construction area of ​​the detection task as the measurement area according to the preset detection task requirements; determining the minimum distance between the field source and the measurement area according to the induction number requirement, and determining the maximum distance between the field source and the measurement area according to the signal-to-noise ratio requirement, and then defining the annular area formed between the minimum and maximum distances between the field source and the measurement area as the field source area; arranging measurement points in the measurement area, and arranging field sources in the field source area; collecting data of any electromagnetic field component at the measurement points and recording the corresponding device acquisition parameters; and using the electromagnetic field component data and the device acquisition parameters, solving for the apparent resistivity using an iterative method. This invention can deploy field sources in all azimuth angles of the measurement area and observe all electromagnetic field components, providing great flexibility in the selection of field source locations and data acquisition.

The application relates to the technical field and discloses a method and system for measuring and calculating apparent resistivity of horizontally layered earth, wherein a characteristic equation of horizontally layered earth is constructed according to an integral variable set obtained through an exponential discrete sampling method and horizontally layered earth parameters; an uplink electromagnetic wave amplitude kernel function of the characteristic equation at each integral variable is calculated to obtain an integral upper limit of horizontally layered earth, and the integral upper limit of horizontally layered earth is set as the maximum value of the integral variable satisfying a preset criterion; based on the integral upper limit of horizontally layered earth, the integral range of the constructed apparent resistivity relationship formula of an unbounded domain is limited to obtain an apparent resistivity relationship formula of a bounded domain; and based on a 151-point Gauss-Legendre integral algorithm and Euler transformation, the apparent resistivity relationship formula of the bounded domain is iteratively solved to obtain a measurement and calculation result of the apparent resistivity. The method meets the dual requirements of precision and efficiency for the measurement and calculation of the apparent resistivity of horizontally layered earth.

The invention relates to a borehole transient electromagnetic detection system and method for orthogonal three-direction overlapped loops, and belongs to the field of underground coal mine borehole transient electromagnetic detection. In order to solve the problem that in the prior art, due to the fact that the directions of transmitting and receiving antennas are not matched, the overlapping loop theory cannot be directly applied, formula approximate calculation needs to be corrected, and the precision is reduced, three groups of transmitting and receiving antennas which are mutually orthogonal and perpendicular are arranged in a probe tube, and each group of antennas works in an overlapping loop mode; and the control unit controls the three groups of coils to sequentially transmit signals and receive responses. According to the invention, accurate inversion of the apparent resistivity is realized by directly applying an overlapped loop apparent resistivity formula; and through combination of tool face angle rotation detection and three-dimensional interpolation processing, hole periphery complete apparent resistivity space imaging is formed. The method has the beneficial effects that formula correction errors are eliminated, and the low-resistance anomalous body recognition precision is improved; full-space three-dimensional high-resolution detection is realized; the process is simplified; and the reliability of the system in an underground complex environment is enhanced.

This invention belongs to the field of horizontal well logging interpretation and evaluation technology. It proposes a correction method, system, and equipment based on dual-lateral logging layer thickness-surrounding rock. The method includes: determining the positional relationship between the top and bottom interfaces of the horizontal wellbore in the target layer; determining the trajectory factor based on the positional relationship of the top and bottom interfaces; determining the measured shallow and deep dual-lateral apparent resistivity based on the trajectory factor, the true resistivity of the target layer, the surrounding rock resistivity, and the target layer thickness, and constructing a dual-lateral logging layer thickness-surrounding rock correction database; and substituting the trajectory factor, surrounding rock resistivity, target layer thickness, and measured shallow and deep dual-lateral apparent resistivity into the correction database to perform inversion correction on the true resistivity of the target layer, obtaining the corrected target layer resistivity. The introduction of continuous trajectory factors and a numerical iterative inversion method compensates for the correction errors caused by previous fixed ratio interpolation calculations. Verification has shown that the influence of wellbore trajectory, target layer thickness, and surrounding rock is eliminated.

The invention relates to the technical field of deep rock mechanics, and provides a deep in-situ environment rock parameter acoustic electromagnetic fidelity test system and method.The deep in-situ environment rock parameter acoustic electromagnetic fidelity test system comprises a cabin, a test space is formed in the cabin, and a rock core sample enters the test space from one end of the cabin through a displacement unit; the temperature and pressure control unit is communicated with the cabin body and is used for adjusting the temperature and the pressure in the cabin body to reach target values and keeping the target values stable; the acoustic electromagnetic testing module is arranged in the cabin body and used for calculating the wave velocity, the resistivity and the apparent resistivity of the rock core sample, and the acoustic electromagnetic testing module is connected with an external acoustic electromagnetic data acquisition system; and the remote control system is electrically connected with the acoustic electromagnetic test module and the temperature and pressure control unit. According to the method, the original occurrence state of the rock can be restored in a fidelity manner, the physical and mechanical parameters of the rock in a deep in-situ real environment are tested and analyzed, the evolution law of the physical and mechanical parameters along with the deep environment is analyzed, and reliable data support is provided for revealing the constitutive relation, the failure mechanism and the disaster breeding mechanism of the deep rock mass.

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 provides a layered medium detection method based on an electromagnetic field, a storage medium and an electronic device, including: obtaining electric field data and magnetic field data of a target to be detected; determining impedance of the target to be detected, and determining an apparent resistivity curve of the target to be detected; determining a resistivity value of a current first layer medium of the target to be detected based on the apparent resistivity; determining a thickness of the current first layer medium of the target to be detected based on the apparent resistivity curve of the target to be detected and the resistivity value of the current first layer medium; and performing layer-by-layer impedance stripping on the target to be detected based on the resistivity value and the thickness of the current first layer medium, to determine a resistivity value and a thickness of each layer medium of the target to be detected. The method effectively calculates the thickness and resistivity of each layer medium by layer-by-layer stripping of each layer medium of the target to be detected, realizes layered medium detection of the target to be detected, and has the advantages of non-contact, no pollution, low cost, simple operation, high speed and no need of coupling.

The application discloses a method and system for predicting the occurrence depth of an ore body of a weathered crust type rare earth deposit, and relates to the technical field of geological exploration. The method comprises the following steps: performing on-site testing on the weathered crust by using a high-density electrical method; calculating and inverting the testing results to obtain apparent resistivity data of the weathered crust at different depths; correcting the distortion values of the apparent resistivity data with the terrain fluctuation according to the terrain of the weathered crust, obtaining the apparent resistivity data of the weathered crust at different depths after the terrain correction by using a ratio method, and further obtaining a first derivative curve of the apparent resistivity changing with the depth, and determining the occurrence depth of the rare earth ore body in combination with a logistic regression model parameter. The application uses the variation law of the apparent resistivity of the weathered crust at different depths to find out the groundwater structure of the weathered crust, further uses the logistic regression model parameter to determine the position of the ore body of the weathered crust type rare earth deposit, so as to accurately predict the occurrence depth of the rich ore layer of the weathered crust type rare earth deposit, and efficiently and accurately explore the rare earth ore body in the weathered crust.

The invention relates to a borehole transient three-dimensional imaging method, belongs to the technical field of geophysical exploration, and aims to solve the technical problem that accurate quantitative three-dimensional imaging cannot be realized when a plurality of low-resistance anomalous bodies exist around a borehole in an existing borehole transient electromagnetic method. According to the technical scheme, the method comprises the following steps: collecting transient electromagnetic signals at a single measuring point in a drill hole by using a transmitting coil and an orthogonal three-component receiving coil; dividing the radial direction into four azimuth areas, and establishing an equation set to solve the induced voltage of each area; calculating apparent resistivity by adopting a late apparent resistivity formula based on the voltage value; generating a radial two-dimensional plane apparent resistivity map through interpolation; and moving to a plurality of measuring points along the axial direction of the drill hole, repeating the steps and carrying out continuous interpolation, and finally generating a three-dimensional apparent resistivity image. The method has the technical effects that the accuracy and practicability of a detection result are remarkably improved, and the imaging requirements of a plurality of low-resistance bodies in complex geological environments such as underground coal mines are effectively met.

The invention relates to the technical field of tunnel frequency domain electromagnetic advanced detection, and provides a frequency domain electromagnetic advanced detection method and system in a tunnel based on a decoupling coil, and the method comprises the steps: obtaining the vertical magnetic field measurement data of each receiving coil in a decoupling coil device; the vertical magnetic field measurement data of the receiving coils are combined in pairs, and gradient observation data in multiple directions are obtained through differential observation; calculating, for each receiving coil, a first apparent resistivity based on the vertical magnetic field measurement data; for each direction, calculating a second apparent resistivity based on the gradient observation data; and performing error verification based on the first apparent resistivity and the second apparent resistivity, and outputting apparent resistivity distribution. And the apparent resistivity imaging distribution in front of the tunnel face can be quickly, comprehensively and accurately obtained.

To solve the problem that conventional tensor resistivity measurement methods are often limited in their application by site terrain conditions and surface environments because the laying of the electrodes requires a regular arrangement.SOLUTION: Provided are a randomly distributed tensor resistivity measurement method and system. In the method, electrode deployment can be randomly arranged based on site-specific grounding conditions. The current supply station sequentially energizes two orthogonal current injection channels, while all potential measurement stations simultaneously and in parallel acquire potential differences across two potential measurement channels. The current and potential difference data are recorded with GPS timestamps, enabling synchronization of current supply and potential measurement station data based on corresponding time. Using the recorded data, current density vectors and electric field intensity vectors are calculated for each supply-measurement station combination, from which the corresponding apparent resistivity tensor is derived. With this configuration, geological exploration corresponding to various depths and complex surface conditions is realized.SELECTED DRAWING: Figure 1

A time-shifting high-density electrical method data temperature and humidity noise reduction method fused with a KNN algorithm comprises the following steps: 1, arranging a field acquisition system, and obtaining original observation data; 2, data preprocessing; and 3, constructing a noise reduction model and outputting. The method comprises the following steps: establishing an apparent resistivity and temperature and humidity data set aligned in time and depth dimensions by constructing a dynamic noise reduction system; by introducing a time shift reference and machine learning driven interpolation strategy, noise reduction is realized through coupling calculation of time shift data and influence factors, the problem of error accumulation in traditional static correction is effectively reduced, time-space dynamic accurate correction of temperature and humidity interference is realized, and the accuracy of temperature and humidity interference correction is improved. The data quality and the interpretation accuracy of the high-density electrical method in a complex environment are obviously improved; a model with site specificity is fitted by using a long-term monitoring time-shifting data set, the dynamic relationship between temperature and humidity and apparent resistivity is quantified, and the separation of environmental noise is realized, so that the data signal-to-noise ratio of a high-density electrical method and the detectability of weak signals are improved.

The invention belongs to the field of mine geophysical prospecting, and discloses a mining-while-electrical-method advanced detection pure anomaly enhancement method which specifically comprises the following steps: step 1, mining-while-electrical-method data acquisition; 2, superposing and averaging observation data at the same position; step 3, extracting pure abnormal response in front of the tunneling head-on; 4, enhancing the pure abnormal response strength in front of the tunneling head-on; and 5, restoring the apparent resistivity and the voltage value. According to the method, the stability of advanced detection data of the mining-following electrical method in a noise environment is improved; background influences such as random noise, coal measure strata, roadway cavities, roadway side anomalies and excavation head-on mining damage are eliminated, and extraction of pure anomaly response in front of an excavation head-on is achieved; the abnormal response intensity of the water disaster hidden danger in front of the tunneling working face is effectively enhanced, and the effective detection distance of advanced detection of the tunneling electric method is increased.

The application provides a large-inclination well / horizontal well array induction logging resistivity anisotropy correction method and relates to the field of geological exploration. The method comprises the following steps: modeling by adopting a three-dimensional finite difference method, performing array induction logging response simulation, and simulating the variation law of apparent resistivity under different inclination angles; establishing a resistivity correction chart according to the variation law of the apparent resistivity under different inclination angles obtained by simulation; if the anisotropy coefficient of the measured target well is known, a correction formula is obtained by chart fitting, and the resistivity is corrected through the correction formula; if the anisotropy coefficient of the measured target well is unknown, the anisotropy coefficient is calculated through a build-up section, a correction formula is obtained by chart fitting, and the resistivity is corrected through the correction formula. The method can effectively eliminate the resistivity'spike' phenomenon of the logging result, obtain a more approximate real formation resistivity value, and improve the accuracy of the reservoir evaluation of the large-inclination well and the horizontal well.

This invention belongs to the field of geophysical exploration technology and provides a method and system for advanced prediction of tunnel geological hazards based on orthogonal field sources. It constructs two sets of high-order pseudo-random signals, deploys orthogonal field sources, and each field source emits different sets of high-order pseudo-random signals. Two sets of orthogonal observation points are set up at the tunnel face and on the tunnel floor within a set distance. The two field sources are simultaneously excited, and the two sets of observation points observe and collect received signals for a set duration. Based on the frequency components of the emitted high-order pseudo-random signals, the electromagnetic field data of the corresponding field source is extracted. Based on the electromagnetic field data, the apparent resistivity of the single-component electric field and the Carnia apparent resistivity are calculated to obtain the detection results. This invention can realize the detection of geological conditions at tunnel construction sites.

The present application relates to a kind of intelligent monitoring method of sinking pipe tunnel pipe joint water seepage based on optimization direct current method, belong to leakage detection technical field.The method includes: S1: with sinking pipe tunnel joint as center symmetry axis, symmetrically and evenly arranged n vertical row electrodes on the both sides of joint, 2n electrodes are arranged between each vertical row;S2: electrode is divided into power supply electrode (X, Y) and measuring electrode (O, P), wherein X, Y, O, P are located on a straight line, O, P is always located near the arrangement center of X, Y;S3: the apparent resistivity of each measuring point on each measuring line is calculated, and the apparent resistivity of all measuring points is generated a three-dimensional data matrix;Actual resistivity is calculated using three-dimensional fast inversion algorithm based on neural network design, to determine water seepage condition.The present application realizes the real-time, high-precision monitoring of pipe joint water seepage condition, improves the safety and reliability of tunnel operation.

The present application belongs to the field of electrical exploration, and relates to an electrical data mapping system, method and software based on cross section and plane linkage. The method comprises the following steps: receiving original measurement data, preliminary inversion data and target layer bottom elevation graphic data; extracting and generating the elevation file of the ground surface and the target layer bottom; converting the apparent resistivity-burial depth data into elevation domain apparent resistivity data based on an elevation reference surface through elevation domain conversion; then automatically generating the apparent resistivity cross section graph of each survey line in batches; extracting the in-seam apparent resistivity data corresponding to the target layer bottom elevation and generating the in-seam apparent resistivity plan in batches; linking the cross section graph and the plan; generating the single-point decay curve graph and the multi-channel graph; and finally automatically compiling all the graphs into a result atlas. The present application realizes the full-process automation from the data pre-processing to the generation of the result atlas, greatly improves the work efficiency and the graph accuracy, and solves the problems of complicated manual operation and easy errors.