36 results about "Magnetic survey" patented technology

The invention discloses a rapid comprehensive survey method and system for natural hydrogen resources, and the method comprises the steps: rapidly delineating a prospective area through remote sensing and geochemical measurement, fusing aviation gravity and magnetism, earthquake, time-frequency electromagnetism and ground geological survey multi-source data, finding out the characteristics of hydrogen source rock, a migration channel, a reservoir stratum and a cover stratum through the integrated evaluation of source-communication-storage-cover, and carrying out the comprehensive survey of the natural hydrogen resources. A target area is optimized through multi-information fusion, drilling verification is carried out, and efficient exploration of natural hydrogen resources is achieved. According to the method, the potential of the natural hydrogen resource can be rapidly and accurately evaluated.

The application discloses a kind of ocean stereo magnetic survey system and method based on unmanned platform, belong to marine detection equipment technical field, including water surface magnetic transverse gradient measurement subsystem, underwater magnetic total field measurement subsystem, ground magnetic diurnal variation observation station and data synchronization and compensation processing center.Processing center, built-in improved 18 items Tolles-Lawson magnetic interference compensation model, real-time solution and eliminate platform constant field, induction field and eddy current field interference.The application is realized through the cooperation of combined navigation and automatic roll reduction device, attitude depth adjustment mechanism, water surface / underwater platform high-precision attitude positioning and attitude keeping;After diurnal variation correction, attitude correction and position calculation, water surface transverse magnetic gradient and vertical magnetic gradient are solved, and water surface-underwater stereo magnetic survey cooperative operation and high dynamic platform magnetic interference real-time compensation are realized, which significantly improves the precision, efficiency and spatial resolution of marine magnetic anomaly detection.

The application discloses a time-frequency electromagnetic exploration method and system for improving exploration depth and resolution, and relates to the technical field of exploration. The method comprises the following steps: arranging a multi-directional excitation source and a mobile remote end array observation system, and sparsely collecting time-frequency electromagnetic signals; reconstructing data and reducing noise based on compression sensing; constructing a time-frequency dual-domain joint inversion target function, introducing cross gradient constraints and physical constraints, and realizing intelligent collaborative inversion through depth reinforcement learning; outputting a high-precision three-dimensional geological model through Bayesian uncertainty analysis and multi-source data fusion verification; and the system comprises excitation, observation, data processing, intelligent inversion and interpretation visualization modules. The scheme improves exploration depth and resolution, improves data acquisition and inversion efficiency, and guarantees the accuracy of geological interpretation.

This invention discloses a multi-source electromagnetic noise suppression method based on noise classification and deep learning, belonging to the field of geophysical electromagnetic exploration technology. The method includes: segmenting and preprocessing the original electromagnetic observation sequence; using an improved U-Net network with an encoder embedded in a Mamba time-series modeling module for low-frequency noise suppression; identifying strong noise types in the data segments using a ROCKET classifier; based on the classification results, calling a second improved U-Net network trained for the corresponding noise type for class-based targeted denoising; and finally, splicing the data segments to obtain complete, high-quality data. This invention, through a phased processing framework of "low-frequency pre-suppression—noise classification—class-based denoising," combined with the strong time-series modeling capabilities of the Mamba module and the efficient classification performance of ROCKET, significantly improves the suppression accuracy and signal fidelity for complex, multi-source electromagnetic noise, and is particularly suitable for processing ground and airborne electromagnetic exploration data.

This invention, in the field of geophysical electromagnetic exploration technology, discloses a system and method for evaluating the grouting effect at the working face based on the charge-induced polarization method. A power supply device and a receiving device are deployed around the grouting drill rod at the working face. The power supply device includes power supply electrodes that directly charge the water body. The receiving device includes multiple non-polarized electrodes uniformly distributed on the working face. The method includes: after the power supply current stabilizes, injecting a high-conductivity, high-polarization solution into the water body in front of the working face, and during the injection of grout into the water body in front of the working face, acquiring the electric field components received by the multiple non-polarized electrodes. For the data received at the same time, the distribution data of electrical parameters at the working face are calculated to determine the changes in the distribution of the water body in front of the working face, and to infer the grout migration and solidification process. By setting up power supply electrodes directly connected to the water body in front of the working face, observation data can be acquired in real time before and during grouting, realizing dynamic monitoring of the grouting effect during the grouting process.

This invention proposes a method for suppressing short-duration diurnal magnetic field interference based on dual-aircraft collaboration. Addressing the challenges of establishing fixed diurnal variation monitoring stations and lacking effective diurnal variation reference information in offshore dual-aircraft collaborative airborne magnetic surveys, this method utilizes airborne magnetic survey data collected during near-shore airborne magnetic surveys and synchronous observation data from diurnal variation monitoring stations. It proposes a dual-aircraft collaborative diurnal magnetic interference suppression method based on a neural network-guided blind source separation algorithm. This method first uses a deep neural network to learn and extract prior features of diurnal variation interference from the dual-aircraft observation signals. These features are then used as guiding information in the blind source separation process to separate the independent source components corresponding to the diurnal magnetic interference, ultimately achieving high-precision identification and suppression of diurnal variation interference components in the original signal. This method can efficiently separate and suppress short-duration diurnal magnetic interference, significantly improve the signal-to-noise ratio of magnetic survey data, and effectively preserve the target magnetic anomaly characteristics, providing reliable technical support for high-precision airborne magnetic surveys.

The invention discloses a magnetometer combined multi-rotor unmanned aerial vehicle aeromagnetic measurement method and a magnetometer combined multi-rotor unmanned aerial vehicle aeromagnetic measurement system, and the method comprises the following steps: S1, obtaining basic information of a user, and based on the basic information of the user, sending a starting command to an optical pump magnetometer and a fluxgate magnetometer by an upper computer; s2, integrating the acquired magnetometer data, the attitude subscribed by the unmanned aerial vehicle and a GPS signal by the main control chip; s3, a local redundancy storage and dynamic cloud transmission mechanism is adopted, the integrated data is safely stored in an SD card, and cloud synchronization is completed in a self-adaptive mode based on the network state. According to the invention, data acquisition and integration of two magnetometers are carried out to improve the global applicability of magnetic field measurement, the problem of insufficient precision of a single magnetometer is improved, efficient and accurate aeromagnetic detection is realized, and dynamic balance of data security and real-time performance is guaranteed through local SD card storage and cloud selective uploading.

The invention discloses an aeromagnetic measurement compensation method, system and device based on a magnetic sensing chip network, and belongs to the technical field of aeromagnetic compensation and aeromagnetic measurement. The method comprises the following steps: acquiring flight attitude data of an aircraft and geomagnetic field observation values acquired by all magnetic sensing chip nodes in real time in a detection flight process of the aircraft; inputting the flight attitude data into a three-dimensional interference field prediction module of a pre-trained aviation magnetic measurement compensation model, and outputting a magnetic interference prediction value at each magnetic sensing chip node under the current flight attitude; inputting the geomagnetic field observation value and the magnetic interference prediction value at each magnetic sensing chip node into a real-time compensation calculation module of an aviation magnetic survey compensation model, and outputting a geomagnetic field detection result obtained by current detection of the aircraft; and the real-time compensation calculation module is used for determining a geomagnetic field detection result according to the geomagnetic field observation values and the magnetic interference prediction values at all the magnetic sensing chip nodes and the weight coefficient corresponding to each magnetic sensing chip node.

This invention provides a method and system for projecting anomaly data from aerial magnetic surveys obtained by drone terrain-following flight onto the ground. [Solution] The method includes the steps of: acquiring aeronautical magnetic data at a fixed flight altitude during terrain-following flight; acquiring spectral information of the fixed flight altitude Dirichlet problem solution under initial boundary value conditions for ground magnetic anomalies; establishing a least-squares iterative optimization solution of the inverse Fourier transform of the aeronautical magnetic data and spectral information; and obtaining ground projection data based on the least-squares iterative optimization solution. The present invention is an efficient and practical application method technology that can obtain aeronautical magnetic anomaly resolution equivalent to that of ground collection while taking advantage of the rapid data collection efficiency of drone aeronautical magnetic surveys. This method technology has a significant effect in improving the application effect of low-altitude drone aeronautical magnetic surveys and expanding the flight altitude space of drone aeronautical magnetic surveys.

The application belongs to the field of tunnel and underground engineering grouting technology, and provides a slurry diffusion range rapid exploration method and system based on magnetic tracer material, and the technical scheme is: based on the determined magnetic field detection line, drawing the target area grouting before and after the magnetic field distribution map; according to the target area grouting before and after the magnetic field distribution map, the abnormal magnetic field distribution characteristics are calculated; based on the obtained magnetic grouting body magnetization rate and magnetic field response characteristics after grouting, the underground magnetic grouting body distribution range is inverted, and the magnetic grouting body stratum model is drawn; the magnetic grouting body stratum model is modified combined with the obtained abnormal magnetic field distribution characteristics, and the magnetic grouting body distribution range is obtained. By adding magnetic tracer material in the slurry, combined with the airborne magnetic survey method, the slurry diffusion range rapid exploration in the stratum grouting reconstruction engineering is realized, and the efficiency of the grouting effect evaluation is improved.

The invention discloses a self-adaptive underwater magnetic measurement carrier magnetic force influence measurement method and system, and relates to the technical field of carrier magnetic force measurement, and the method comprises the steps: selecting a carrier magnetic force influence measurement region meeting conditions as a target measurement region; carrying out near-bottom magnetic measurement operation in an operation area based on the autonomous underwater vehicle to obtain attitude information of an operation carrier and a corresponding timestamp; establishing a feature data set based on the operation carrier attitude information and the timestamp; obtaining a job action set based on the feature data set; obtaining a plurality of different initial paths based on the operation action set and the boundary constraint to form an initial path set; performing iterative adjustment by adopting an optimization algorithm based on the initial path set to obtain an optimal measurement path; carrying out carrier magnetic force measurement operation in the target measurement area according to the optimal measurement path based on the autonomous underwater vehicle to obtain measurement carrier attitude data; and constructing a magnetic influence model based on measured carrier attitude data to estimate the interference magnetic field. And the precision and reliability of underwater magnetic measurement data are improved.

The invention discloses an electrical source transient electromagnetic method, system and device for avoiding an induced polarization effect, and a medium, and relates to the technical field of geophysical exploration. The method comprises the following steps: exciting a secondary field for a target area by adopting square wave pulses with set pulse width and set duty ratio; collecting a vertical induced voltage component of the secondary field by adopting a magnetic rod or a coil; calculating full-period apparent resistivity based on the vertical induced voltage component and the pulse response function, and constructing an underground resistivity structure through a three-dimensional inversion algorithm to obtain a resistivity image; the resistivity imaging is used for describing a transient electromagnetic exploration result. According to the method, the problems of IP effect interference and low inversion precision in a traditional transient electromagnetic method can be solved, and resistivity high-precision imaging without IP interference is realized.

The invention provides a ground transient electromagnetic exploration device, and relates to the technical field of geophysical exploration, and the device comprises a placement box, the front side of the placement box is provided with a storage groove, the interior of the storage groove is provided with a transient electromagnetic instrument body, the front side of the placement box is provided with an upper cover used for covering the storage groove, and the bottom of the placement box is provided with a moving mechanism. A monitoring assembly is arranged on the transient electromagnetic instrument body, the monitoring assembly is connected with a control module, the monitoring assembly is used for collecting three-axis acceleration data, three-axis angular velocity data, impact pressure data and coil impedance baseline data of the transient electromagnetic instrument body, and the control module is used for performing diagnosis according to related data. According to the invention, field operation convenience and equipment safety are improved through a portable moving mechanism and a multi-buffer system, collision risk intelligent identification and trend prediction are realized in combination with an improved LSTM algorithm, the equipment damage risk is effectively reduced, the exploration data quality is guaranteed, and the exploration efficiency and reliability under complex terrains are significantly improved.

The invention discloses a lower suspension unmanned aerial vehicle aeromagnetic vertical vector measurement system for detecting humanistic magnetic source articles in emergency rescue. The system comprises an unmanned aerial vehicle platform module, a magnetic probe rod and driving module, a sensor module, a data acquisition and processing module, a data transmission module and a ground terminal module. The beneficial effects of the invention are that the probe of the high-sensitivity optical pump atom vector magnetometer is suspended below the unmanned aerial vehicle by adopting the magnetic probe rod capable of actively stretching and retracting, and the probe can be lowered to the height close to the ground to work, so that the detection sensitivity of a shallow weak magnetic target is improved. Magnetometer data, unmanned aerial vehicle RTK positioning data and attitude data are synchronously acquired through an airborne computing platform based on ROS, and high-precision time alignment and fusion processing are carried out. The ground terminal provides various visual displays such as a real-time magnetic anomaly contour map and a magnetic anomaly profile map. The technical problems that an existing unmanned aerial vehicle magnetic measurement system is insufficient in shallow-buried small-scale humanistic magnetic source target detection sensitivity, poor in low-altitude operation safety and insufficient in multi-source data fusion processing are solved.

The invention provides an earth main magnetic field model modeling method, a computer device and a computer readable storage medium, and the method comprises the steps: obtaining magnetic measurement data, and generating a magnetic measurement data file; inputting the associated parameters of the multiple pieces of magnetic measurement data into a preset geomagnetic model, and calculating first corrected magnetic measurement data; establishing ocean current models in different time periods; establishing a Maxwell equation set of the ocean current induced magnetic field, and solving the Maxwell equation set according to the ocean current model of each time period to obtain an ocean current induced magnetic field model of each time period; inputting the associated parameters of the multiple pieces of magnetic measurement data into the ocean current induced magnetic field model corresponding to the same time as the magnetic measurement data to obtain an ocean current induced magnetic field predicted value of each time period, and subtracting the ocean current induced magnetic field predicted values from the multiple pieces of first correction magnetic measurement data to obtain final correction magnetic measurement data; and calculating a target earth main magnetic field model by using the final corrected magnetic survey data. The method can improve the calculation precision of the target earth main magnetic field model.

The application provides a mineralization domain spatial distribution prediction method and system based on geological prior knowledge, and relates to the technical field of mineral exploration, wherein the method comprises the following steps: obtaining drilling core assay analysis data and magnetic survey data of a target mining area; then processing geochemical data to obtain an element concentration data set, and performing a potential field conversion on the magnetic survey data to generate a magnetization direction data set; then using a fractal algorithm to identify geochemical anomaly information from the concentration data set and determine an anomaly range, fusing the anomaly range and the magnetization direction data set, and then performing three-dimensional visualization modeling to construct a three-dimensional geological model; finally, extracting feature data in the three-dimensional geological model and inputting the feature data into a machine learning prediction model for processing to obtain a distribution map representing the existence probability of the mineralization domain in the space of the mining area. The application improves the accuracy of predicting the spatial position of a concealed mineralization domain.

The invention discloses a multi-mining-area geophysical exploration optimization method, which belongs to the technical field of geophysical exploration, and comprises the following steps: carrying out geological survey on a target mining area to identify an ore deposit type of the target mining area and analyze a geological background of the target mining area; performing targeted physical property parameter testing, establishing an ore physical property parameter database of different types of ore deposits, and determining a geophysical prospecting mark; selecting and implementing a corresponding exploration technology combination according to the ore deposit type; in the exploration process, multi-scale magnetic survey is implemented hierarchically according to three stages of a metallogenic prospective region, target region optimization and fine exploration, and deep and shallow exploration methods are cooperatively applied; a three-dimensional prospecting model is constructed through multi-parameter joint inversion, and comprehensive interpretation is carried out in combination with the prospecting mark to delineate a prospecting target area; by optimizing the exploration technology combination and the implementation process, the exploration precision and efficiency are improved, the exploration cost is reduced, and reliable technical support is provided for deep prospecting of complex ore deposits.

To provide a buried object magnetic survey system capable of improving the quality of measurement data by suppressing false recognition of small detection as noise and discriminating clear noise.SOLUTION: The buried object magnetic search system includes a sensor parallel arrangement frame 10 suspended and towed from a search barge. The sensor parallel arrangement frame 10 has a ladder shape. A plurality of both coil type magnetic gradiometers 11 and a plurality of cesium magnetometers 12 are alternately provided corresponding to each step of a ladder. Further, the sensor parallel arrangement frame 10 is provided with a motion sensor 13.SELECTED DRAWING: Figure 2

A method for extracting magnetic three-component data in an aviation transient electromagnetic-magnetic method combined detection system belongs to the technical field of aviation transient electromagnetic exploration, and comprises the following steps: a data acquisition module acquires original magnetic three-component data of a target detection area, and then the original magnetic three-component data is processed by a preprocessing module to obtain standard magnetic three-component data; the magnetic field calculation filtering module calculates an original magnetic total field value according to the standard magnetic three-component data, and then obtains a magnetic field value caused by a transient electromagnetic primary field through sliding filtering processing; the image drawing module draws a curve graph according to the magnetic field value; a sample extraction module extracts sample data from the curve graph; and the cyclic calculation module performs cyclic calculation on periodic data of the curve graph according to the curve graph and the sample data, and finally calculates magnetic three-component data without transient electromagnetic interference. The method has the effect that pure geomagnetic data which is not interfered by transient electromagnetic interference can be accurately and effectively extracted from original magnetic three-component data.

The invention discloses a ground electromagnetic exploration full-process data format structure design system, which belongs to the field of geophysical exploration, and comprises the following steps: constructing a multi-level model containing 0-level original data to 3-level interpretation data, and embedding a data passport traceability mechanism, so that the system fundamentally eliminates a data island, and the data format structure is optimized; and lossless circulation and context integrity of the data between the hierarchies are ensured. According to the design, the interoperability and sharing efficiency of the data are remarkably improved, reverse tracing from the geological interpretation result to the original observation data is supported, and the credibility and repeatability of the result are enhanced. The standardized data structure facilitates automatic analysis and batch processing of a computer, a solid data basis is provided for construction of a large geophysical database and subsequent big data analysis and artificial intelligence application, and intelligent development of geophysical exploration information is powerfully promoted.

The invention relates to a magnetic measurement data lag correction method in a suspension type aeromagnetic system. The method comprises the following steps: a data acquisition module acquires actually measured aeromagnetic three-component data in a detection area and GPS latitude and longitude coordinates and elevation of the actually measured aeromagnetic three-component data; an abnormal value calculation module calculates a total magnetic field value and a magnetic abnormal value of an abnormal source A in the detection area; the equivalent source module is used for enabling three magnetic anomaly components and a magnetic anomaly value generated by the abnormal source A at the position of the unmanned aerial vehicle magnetic probe to be equivalent to three magnetic anomaly components and a magnetic anomaly value generated by the abnormal source B at the position of the unmanned aerial vehicle GPS; the image drawing module performs gridding processing on the magnetic abnormal value to obtain a magnetic abnormal value image; the magnetic anomaly component calculation module calculates a magnetic anomaly vertical component and a horizontal Y component of the anomaly source B, and performs equivalent processing; and the lag correction module calculates the vertical component and the horizontal Y component of the total magnetic field, and corrects the vertical component and the horizontal Y component to obtain the actual coordinate and the elevation of each measuring point. The method has the advantages that magnetic measurement data lag correction can be performed based on original data, and system working efficiency can be improved.

The invention discloses a method for determining a drilling position of a magnetite body. The method comprises the following steps: acquiring actually measured aeromagnetic abnormal data of a target area; performing weak information extraction processing on the aeromagnetic abnormal data; calculating the buried depth Z of the magnetite body by adopting a tangent method; a supplementary magnetic survey line L perpendicular to the aeromagnetic main survey line is arranged, and a peak point Ma of a magnetic anomaly change value of the supplementary magnetic survey line L is extracted; taking the peak point Ma as a center, arranging encrypted magnetic survey lines L'on two sides of the peak point Ma along the supplementary magnetic survey lines L, and extracting a peak point Mb of a magnetic anomaly change value of the encrypted magnetic survey lines L '; according to the peak point Mb of the magnetic anomaly change value, the longitude Xb corresponding to the peak point Mb, the latitude Yb corresponding to the peak point Mb and the magnetite body burying depth Z, the longitude Xc and the latitude Yc of the horizontal position of the magnetite body burying center are calculated. According to the method, the drilling target position of the magnetite body can be rapidly and accurately determined, the prospecting risk is remarkably reduced, and the exploration investment is saved.

The application provides a principal component analysis geological magnetic interference removal method and system, which comprises the following steps: collecting multi-source data; solving a magnetic interference compensation coefficient; obtaining a residual magnetic field; performing high-precision space-time matching on the residual magnetic field data of each detection aircraft to form a space-time aligned multi-channel magnetic survey data matrix; in the fifth step, using the multi-channel magnetic survey data matrix, combining principal component analysis (PCA), weighted average and sliding window cooperative filtering organically to generate a continuous and smooth regional geological magnetic interference field; subtracting the geological magnetic interference field point by point to realize independent interference removal processing on the original data of each aircraft, and finally generating clean magnetic anomaly data which removes the geological background and retains local anomalies. The technical scheme of the application solves the technical problem that the applicability of the first-order linear model constructed by using platform position information in the prior art is greatly reduced, the compensation result is not ideal, and the effective discrimination of the target signal is seriously affected.

The invention provides a second-generation high-temperature superconducting tape critical current calibration method and system based on a magnetic measurement method. The method comprises the following steps: acquiring magnetic field measurement data; performing inversion to obtain current density distribution; performing fast Fourier transform forward modeling on the current density distribution to obtain in-plane magnetic field distribution of the superconducting tape; and the final critical current distribution is obtained through correction by combining an in-plane magnetic field and an applied magnetic field through a superconducting critical state Kimm model and a superconducting body creep theory. According to the method, high-resolution and high-precision calibration of the critical current of the high-temperature superconducting strip is realized.

The invention particularly relates to a TQWT-OGS magnetic anomaly extraction method based on a non-dominated sorting genetic algorithm. The TQWT-OGS magnetic anomaly extraction method comprises the following steps: loading a noisy original magnetic measurement signal; the method comprises the following steps: applying adjustable quality factor wavelet transform TQWT to an original magnetic measurement signal, decomposing the original magnetic measurement signal into a plurality of sub-band components with different frequency band characteristics, extracting a wavelet coefficient waveform corresponding to each sub-band component, calculating the energy percentage of each sub-band component, and screening at least one sub-band level as an effective level by using a preset energy threshold; based on a pre-configured kurtosis index, selecting a plurality of effective hierarchies with optimal kurtosis; performing TQWT inverse transformation on the selected multiple effective hierarchies to obtain a target signal; based on a pre-constructed parameter evaluation system, searching an optimal parameter combination for the target signal by using a grid search method and a non-dominated sorting genetic NSGA-II algorithm, and extracting magnetic anomaly signal features by using an overlapping cluster shrinkage OGS algorithm; wherein the parameter evaluation system is constructed based on normalized features of a root mean square error (RMSE) and a signal-to-noise ratio (SNR).

The invention belongs to the technical field of cable detection, and particularly relates to a shoal buried cable state detection method and system based on aviation magnetic survey, and the method comprises the steps: planning the route of an unmanned plane through fusing the mud flat environment, cable design and geomagnetic field data, and synchronously collecting the magnetic survey, attitude, position and environment data. After multiple interference compensation correction, net magnetic measurement data are obtained, and a magnetic anomaly trajectory is fitted through background geomagnetic field modeling and abnormal point recognition; calculating a cable position offset by comparing design routes, and identifying a position abnormal area; determining a predicted burial depth and a fluctuation range by using a fitting model of a magnetic anomaly peak value and the burial depth, and positioning a burial depth anomaly region; analyzing track continuity and peak stability, and judging armoring damage; and finally, the identification results of the position, the burial depth and the armoring damage are integrated and visualized, and multi-dimensional accurate evaluation of the cable state is realized. According to the invention, the accuracy of shoal buried cable state detection is improved.

The application discloses an electric source transient electromagnetic method, system, device and medium for avoiding induced polarization effect, and relates to the technical field of geophysical exploration. The method comprises the following steps: a square wave pulse with a set pulse width and a set duty cycle is used to excite a secondary field in a target area; a magnetic bar or a coil is used to collect a vertical induced voltage component of the secondary field; full-period apparent resistivity is calculated based on the vertical induced voltage component and a pulse response function, and a three-dimensional inversion algorithm is used to construct a subsurface resistivity structure to obtain resistivity imaging; and the resistivity imaging is used to describe transient electromagnetic exploration results. The application can solve the problems of IP effect interference and low inversion accuracy in traditional transient electromagnetic methods, and realizes high-precision resistivity imaging without IP interference.

The invention discloses a multi-element exploration and prediction method for hydrothermal cobalt ore. The method comprises the following steps: firstly, under the guidance of a regional metallogenic theory, delineating a cobalt ore prospecting prospecting area and a prospecting target area by integrating geological, geophysical prospecting and chemical prospecting data; secondly, performing large-scale geological mapping and remote sensing interpretation in the prospecting target area to identify structure and alteration marks, and delineating geophysical and geochemical exploration anomalies by using high-precision magnetic survey, induced polarization profiles and soil geochemical profiles; then, aiming at a geophysical and geochemical exploration abnormal part, a lithologic interface and a structural development part, utilizing a scribed line investigation sample to quickly position a mineralization favorable part, and utilizing groove exploration to carry out shallow earth surface control; then, the form, scale and resource potential of the deep ore body are verified through drilling engineering; and finally, establishing a prospecting prediction model by taking the target region with the outstanding prospecting effect as a model region, and guiding peripheral prediction. The method has the advantages of being convenient, environmentally friendly, remarkable in prospecting efficiency and the like, the purpose of rapidly recognizing the ore-bearing position of the cobalt ore is achieved, and a good cobalt ore prospecting effect is achieved in the East Kunlun inflator River region.

The present application proposes a method and apparatus for transfer learning-based localization of igneous carbonate-hosted rare earth mineralization. The technology relates to electromagnetic exploration and includes obtaining exploration data for electric, magnetic, seismic, and gravity methods in the target area. Transfer learning-based localization is applied to the electric, magnetic, seismic, and gravity exploration data to determine the cross-sectional map corresponding to the anomalous position of igneous carbonate-hosted rare earth mineralization in the target area. Feature decomposition dimensionality reduction, feature enhancement, and weighted fusion processing are applied to the cross-sectional map, followed by segmentation of the igneous carbonate-hosted rare earth mineralization geological body in the fused image to obtain the spatial distribution of the detection target. The integrated analysis of multi-source geophysical data using images improves the accuracy of identification and localization of igneous carbonate-hosted rare earth mineralization.