422 results about "Prospecting" patented technology

The invention relates to a knowledge graph construction and intelligent prospecting prediction method based on multi-source heterogeneous geological data. The method comprises the steps that geological data information is acquired and preprocessed, and a geological information database is formed; geologic entities, attributes of the geologic entities and mutual relations of the geologic entities in the geologic information database are recognized through the natural language processing technology, and a geologic knowledge graph is constructed; training and optimizing the prediction model to obtain a metallogenic prediction model; and obtaining a prediction result of the metallogenic potential area by using the metallogenic prediction model, and generating a metallogenic analysis report. According to the method, the geological data quality is improved through data preprocessing, the knowledge graph is constructed to integrate geological knowledge, the deep learning model is utilized to accurately extract and predict the metallogenic characteristics, and finally the metallogenic analysis report is generated, so that the prospecting efficiency is improved, the cost is reduced, and the decision scientificity is enhanced.

The invention provides a prospecting prediction method based on a multi-agent technology. The method specifically comprises the steps that S11, keyword extraction is conducted on mineral problems input by a user; s12, establishing a vector database of the mineral knowledge text and a graph database of the mineral knowledge graph, and optimizing the extracted keywords to generate cue words; s13, constructing a large prospecting model to think the cue words, expanding the cue words, and obtaining a complete statement for professional expression of the user question again; s14, performing multi-task decomposition on the complete statement to obtain a plurality of sub-tasks, and scheduling the plurality of sub-tasks to corresponding agents based on a graph database of the mineral knowledge graph to perform step-by-step prediction; and S15, integrating prediction results of the intelligent agents and feeding back the integrated prediction results to a user. According to the method, prospecting prediction is promoted to be converted from manual driving to intelligent driving, and emerging technical support is provided for prospecting breakthrough.

The invention relates to the technical field of geological exploration, in particular to a geological exploration safety monitoring and early warning method and system, and the method comprises the following steps: carrying out the exploration region division based on a geological exploration data set, carrying out the risk assessment and density assignment of geological units in combination with the risk degree, and generating a geological risk density map. According to the method, through geological risk assessment and density assignment, exploration area division and risk assessment, and in combination with risk level judgment of geological units, safety monitoring and early warning in the geological exploration process are more refined and scientific, and by means of stress analysis simulation and terrain sensitivity analysis, the safety of the geological exploration process is improved. According to the geological disaster early warning method, the stress response of the geological unit under natural and artificial loads is revealed, the capability of identifying risk points and sensitive areas in an exploration area is improved, early warning is carried out on geological disasters in the early stage, the real-time performance and pertinence of geological disaster early warning are optimized, and losses caused by the geological disasters are reduced.

The invention discloses a multi-factor prospecting prediction method suitable for tin polymetallic ore, and relates to the technical field of geological science. The prospecting prediction method comprises the following steps: collecting data; fusing multi-source data; extracting and analyzing mineralization information; constructing a comprehensive prediction model; and predicting mineralization. According to the method, a potential tin polymetallic ore deposit area is preliminarily selected by comprehensively considering multi-source information such as geology, geophysics, geochemistry and remote sensing, drilling data and profile data are collected in the area, the drilling data and the profile data are utilized to construct a comprehensive prediction model, and the model is combined with advanced algorithms such as geostatistics and machine learning, so that the prediction accuracy of the tin polymetallic ore deposit area is improved. The multi-source data is efficiently integrated, and a three-dimensional visualization result is provided, so that the position and the scale of a potential ore body can be more accurately predicted, and the success rate of prospecting is improved.

The invention relates to the technical field of geological prospecting, in particular to a prospecting target area resource decision-making method and system based on minimization of influence of an environment sensitive area, and the method comprises the steps: obtaining geological data and environment data of each prospecting target area in a target exploration area, and carrying out the preprocessing; constructing a space-time coupled environment sensitivity dynamic quantification model based on the preprocessed environment data, and extracting environment sensitivity quantification results of the prospecting target areas; constructing a geological potential quantification model based on the preprocessed geological data set, and extracting a geological potential quantification result of each prospecting target area; constructing a prospecting target region difference matrix based on the environmental sensitivity and the geological potential result, and extracting a typical prospecting target region through fuzzy support vector machine classification and density peak clustering; and constructing a three-dimensional decision-making space, and solving a decision-making result of the prospecting target area by adopting a multi-objective optimization algorithm. The objective of the invention is to improve the efficiency and accuracy of large-scale prospecting target area resource decision.

The invention discloses a prospecting method, system and equipment for identifying polygonum capitatum plant indication copper ore through remote sensing, and belongs to the technical field of remote sensing prospecting. Comprising the following steps: acquiring remote sensing data in a target area, and establishing a spectrum database of polygonum capitatum plants and altered minerals related to copper ore; finely identifying the Polygonum capitatum plant and the distribution characteristics thereof by using a spectral data analysis processing technology; in combination with radar, multispectral and hyperspectral remote sensing data, performing construction-alteration mineral identification and fine mapping in a target area; fusing the polygonum capitatum plant, the distribution information of the polygonum capitatum plant and the construction-alteration mineral mapping result, establishing an ore prospecting prediction model for indicating the copper ore based on the polygonum capitatum plant, delineating copper ore abnormity in a target area, and performing deep learning method verification on a prediction result; and integrating multi-source data and field investigation, further verifying the predicted target region, and optimizing the prospecting model. The method can reduce the cost, improve the efficiency and accuracy, and simplify the prospecting process.

The invention belongs to the technical field of data processing, and particularly relates to a rutile type titanium ore prospecting model construction method. Comprising the following steps: collecting remote sensing time sequence, real-time geophysical prospecting and geochemical data, carrying out geological causal feature analysis after standardization so as to construct a metallogenic causal graph, and meanwhile, collecting anti-fact features to generate virtual mineralization feature vectors; a prospecting model comprising an input layer, a weight optimization layer (comprising a causal attention module and a particle swarm anti-fact comparison module) and a mineralization probability output layer is constructed, and a high-frequency data acquisition mechanism is triggered with assistance of a metallogenic event threshold. According to the method, the data reliability and the model generalization ability are improved, the mineralization probability calculation precision and the potential mineralization target region judgment accuracy are remarkably improved, and a scientific support is provided for efficient prospecting of rutile type titanium ore.

The invention discloses a three-dimensional prospecting prediction method and system and a storage medium, and relates to the technical field of geological prospecting. The method comprises the following specific steps: collecting multi-source geological data in a target mining area, and establishing a geological database; performing data format standardization processing on the geological database to obtain preprocessed data; constructing a three-dimensional geologic model based on the preprocessed data; carrying out quantitative analysis on the three-dimensional geologic model, and extracting metallogenic favorable information; carrying out numerical simulation on the metallogenic process of the target mining area by utilizing a three-dimensional metallogenic process numerical simulation method, and extracting numerical simulation variable information; the metallogenic favorable information and the numerical simulation variable information are fused, and a three-dimensional comprehensive prospecting prediction model is constructed; and predicting a prospecting target area according to the three-dimensional comprehensive prospecting prediction model to obtain a prospecting prediction result. According to the method, a three-dimensional modeling and multi-source data fusion method is utilized, a new direction is provided for the field of prospecting prediction research, and the method has very wide application prospects.

The invention discloses an intelligent prospecting prediction method based on a three-in-one metallogenic prediction theory, and relates to the technical field of prospecting prediction, and the method comprises the steps: determining various geological elements formed by a regional control ore deposit, obtaining data related to the elements formed by the regional control ore deposit, and storing the data in a database; comprising geological survey, engineering exploration, geophysics, geochemistry and remote sensing data; performing data preprocessing on the geological element data and dividing the geological element data into a plurality of categories; unsupervised learning is carried out on the geological data according to a deep learning algorithm, and the geological structure of the mining area is described in detail; in the areas with relatively high reconstruction errors, selecting the areas with relatively high geochemical anomaly and geophysical anomaly indication variables or reconstruction error values, comparing the selected areas with known typical ore deposits to determine the correlation of space structures, and extracting ore-forming favorable anomaly feature information from the selected areas; and the extracted abnormal information is matched with various geological elements to delineate the target region, so that the accuracy and efficiency of prospecting prediction are improved.

The invention discloses a boundary-preserving seismic wave impedance inversion method, device, equipment and medium, and relates to the technical field of geological prospecting. Historical seismic data of a target area and logging curve data including logging impedance parameters are acquired, and seismic wavelet data are extracted from the historical seismic data; carrying out data processing on the seismic wavelet data to obtain target seismic wavelet data, constructing an initial impedance parameter model according to the logging curve data, carrying out forward modeling on the initial impedance parameter model, constructing a composite objective function comprising a boundary preserving constraint term and a prior information constraint term, and carrying out the forward modeling on the initial impedance parameter model based on the composite objective function. And the initial impedance parameter model is updated to obtain the target impedance parameter model, and the output impedance parameter inversion curve is obtained through the target impedance parameter model, so that the inversion precision and efficiency are improved, and the inversion stability and the geological reduction capability are improved.

The invention discloses a multi-source remote sensing rare earth ore prospecting method and system fused with pteridophyte ore showing, and belongs to the technical field of mineral resource exploration. Weathering crust type rare earth ore mineralization factor remote sensing features are obtained through multi-source remote sensing data, a potential area is preliminarily delineated, an unmanned aerial vehicle carrying a VNIR camera is deployed to obtain a high-resolution image, and the high-resolution image is subjected to image mapping; and comprehensively extracting fern distribution information according to texture, form and spectral indexes, and down-sampling a fern coverage result to a resolution consistent with that of other features to form a fern coverage layer. And constructing a multi-source remote sensing matrix fusing the fiddlehead coverage map layer and the mineralization factor characteristics, and predicting the rare earth mineralization probability and optimizing the potential region selection through sample training and global reasoning. According to the method, the positioning precision and exploration efficiency of the weathering crust rare earth ore are remarkably improved through coupling of the biological indicator factor (pteridophyte) and the traditional rock-mineral-structure-landform ore showing factor.

The invention relates to the technical field of big data analysis, and discloses a prospecting target area positioning method and system based on big data, and the method comprises the steps: collecting multi-source exploration data in real time through distributed nodes, completing coordinate normalization, semantic alignment and time synchronization through a spatial heterogeneous data flow engine, and generating a standardized incremental data block; performing local feature sensitivity analysis based on the historical model library, identifying a newly added feature dimension, and performing parameter increment updating by adopting a sliding window gradient descent method; inputting the updated model into a target evolution model driven by a Bayesian space-time probability field, and dynamically calculating the metallogenic probability of each space grid in combination with a stress field, an element migration path and historical verification data; and generating high, medium and low three-level target area maps according to probability sorting, and pushing the high, medium and low three-level target area maps to a three-dimensional visual decision terminal. According to the method, minute-level dynamic response of the target region under triggering of newly-added data is realized, computing resource consumption is reduced to be less than 5% of that of an original system, and prospecting efficiency and abnormal region identification timeliness are improved.

The invention provides a sandstone type uranium ore prospecting method based on a tectonic unit boundary, and the method comprises the steps: obtaining the geological data of a sedimentary basin, determining the spatial distribution and the tectonic and stratum characteristics of tectonic units in the sedimentary basin, and determining the types of beneficial metallogenic tectonic units according to the spatial distribution and the tectonic and stratum characteristics of the tectonic units; and determining a first-level exploration target region of the sandstone type uranium mine by combining the gravity data and / or seismic data and / or oil and gas bearing conditions of the favorable metallogenic structure units for different types of favorable metallogenic structure units. According to the method, on the basis of deep analysis of uranium-controlled metallogenic characteristics of the tectonic unit boundary, the upheaval and fracture of the tectonic unit boundary are taken as important marks for prospecting, and geological and geophysical prospecting methods are combined, so that a novel efficient and low-cost prospecting method is formed, an optimal target of a sandstone type uranium ore prospecting area can be accurately locked, and the prospecting efficiency of the sandstone type uranium ore prospecting area is improved. The blindness in the prospecting process can be obviously reduced, and the exploration efficiency is improved.

The present invention relates to the technical field of mine roadway utilization. Provided is an arrangement method for roadway junctions for compressed air energy storage in abandoned mine roadway space. The method comprises: using a geophysical prospecting method to perform preliminary prospecting on a roadway junction to determine the stress and deformation states of roadway surrounding rock at the roadway junction, so as to determine the range of elastic-plastic areas; dividing the roadway junction into a plurality of areas; digging equilateral triangle-shaped recesses in the two sides of the roadways; using grouting and grouting anchor cables to reinforce the roadway surrounding rock; providing air pipes in the middle portions of the roadways, and simultaneously providing three-way valves in roadway intersection areas, and wrapping the outer side of each air pipe with a protection layer; and, according to area division, performing filling and sealing. The method uses area-based grouting reinforcement treatment to effectively reduce the treatment difficulty and improve the bearing capacity of roadways, and uses communication pipes to connect a plurality of roadways so as to ensure smooth air circulation. In addition, roadway junctions configured by using the method have better sealing tightness and stability, thereby providing convenience for compressed air energy storage.

The invention provides a prospecting exploration method for ion adsorption type rare earth ore, and belongs to the technical field of geological mineral exploration, and the prospecting exploration method comprises the following steps: delineating an ore-forming mother rock area in a working area according to the existing ore points of the ion adsorption type rare earth ore in the working area and in combination with a geochemical exploration abnormal area; delineating a favorable metallogenic landform area in the working area through a GIS space analysis technology; carrying out superposition analysis on the ore-forming mother rock area and the favorable ore-forming landform area, and determining a favorable ore-forming prospective area in the working area through comparison; collecting a sample in the metallogenic distant view area, and verifying whether mineralization abnormity exists in the metallogenic distant view area or not by using a rare earth ion leaching-titration precipitation method; and in an area with mineralization abnormity in the metallogenic distant view area, exploration and evaluation are carried out by arranging Gannan drills in the metallogenic distant view area, the resource quantity of the metallogenic distant view area is calculated, and the prospecting exploration range of the ion adsorption type rare earth ore is determined. According to the method, the metallogenic prospective area can be rapidly delineated in a large range, the working range is reduced, and the efficiency of exploration work is improved.

The invention belongs to the technical field of geological prospecting, and particularly discloses an exploration method for constructing an altered rock type gold mine in a shallow coverage area, which comprises the following steps of: firstly, optimizing a working area by using regional geochemical prospecting abnormity, and gradually reducing a prospecting target area by using 1: 25,000 geochemical measurement, 1: 10,000 soil profile measurement and 1: 10,000 geological grass survey; identifying a linear negative topographic development section by using an unmanned aerial vehicle, quickly positioning a gold-bearing structure alteration zone by using a manner of stripping soil and adopting a detection sample, and performing ground surface control by using a groove exploration project; and a target position is predicted by combining the ore body grade, the ore body thickness and the product contour map of the ore body grade thickness by utilizing a structure superposition halo method, drilling engineering deep verification is carried out, and finally the topography and the landform are recovered to find out the shape, the occurrence, the scale and the resource potential condition of the gold mineralized body. The method is simple and convenient, small in environmental disturbance, low in cost investment and good in coverage area effect, the purpose of rapid prospecting is achieved, and an excellent gold ore prospecting effect is achieved in the Heidong region of the Qieemun Tagean, the cliff and the Qieemun Tagean.

The invention belongs to the technical field of tunnel engineering geophysical prospecting, and particularly relates to a full-wave-field tunnel advanced prospecting method based on rock physical constraint, which comprises the following steps of: constructing an initial geologic model, sampling on an upper interface of a layer section where a tunnel is located and carrying out longitudinal and transverse wave velocity measurement to obtain a longitudinal wave velocity Vp and a transverse wave velocity Vs; combining all sampled longitudinal wave velocities Vp and transverse wave velocities Vs, calculating longitudinal wave velocities and transverse wave velocities of a target layer section, obtaining elastic parameters of the target layer section, importing the obtained elastic parameters into an initial geologic model, obtaining a parameter inversion initial model, constructing a forward wave field and a simulated seismic record, and making a difference between an actual observation record and a simulation record, so as to obtain an initial geologic model; and conjugate gradient inversion is carried out. According to the method, all wave field information excited by the shield tunneling machine is fully utilized, and high-precision parameter inversion is carried out under rock physical constraints, so that more accurate tunnel front geological prediction can be provided, and a scientific basis is provided for safe and efficient construction of the shield tunneling machine.

The invention provides a diffracted wave separation method and device under non-uniform space-time sampling, and relates to the technical field of seismic prospecting, the method comprises the following steps: obtaining common offset seismic data of a target area, the common offset seismic data comprising fluctuation signals of a plurality of sampling points, the position intervals among the sampling points of different seismic traces are non-uniform, and / or the time intervals among different sampling points of the same seismic trace are non-uniform; calculating the plane wave slope of each sampling point of the common offset seismic data through a finite difference method to obtain plane wave slope data; determining a reflected wave travel time curve of each sampling point according to the plane wave slope data; and diffracted wave separation of the common offset seismic data is carried out according to the reflected wave travel time curve of each sampling point. According to the method, accurate diffracted wave separation under non-uniform space-time sampling is realized, and the seismic data analysis accuracy is improved.

The invention discloses a tungsten deposit deep edge metallogenic prediction method based on machine learning, and particularly relates to the technical field of geological prediction and data processing. The method comprises the following steps: acquiring multi-source geological data, constructing a multi-dimensional space grid, and dividing candidate prediction units; quartz vein density, alteration indexes, geochemical combination anomaly weights and high-frequency magnetic anomaly waveform features are extracted, and an ore control feature tensor matrix is constructed; extracting a spatial dependency relationship among the candidate units based on a graph neural network, constructing a metallogenic potential prediction model, and outputting a metallogenic probability graph and a metallogenic hot spot graph; model parameters and feature weights are dynamically optimized through spatial superposition analysis and an abnormal response recognition mechanism; according to the method, the precision and efficiency of deep edge tungsten ore prospecting can be remarkably improved, and good self-adaptability and popularization and application value are achieved.

The invention belongs to the field of mineral resource exploration, and particularly relates to an oil-gas hydrocarbon micro-leakage alteration information identification and uranium mineralization association-based prospecting method, which comprises the following steps of: 1, selecting a research area and collecting basic data; 2, oil gas hydrocarbon micro-leakage alteration information is extracted; step 3, establishing an alteration information and uranium mineralization association model; 4, delineating a favorable uranium mineralization area; and 5, drilling verification and model optimization. According to the method, alteration information caused by oil gas micro-leakage is accurately extracted through multi-source data fusion, dynamic monitoring and intelligent modeling technologies, a correlation model of the alteration information and uranium mineralization is established, the exploration efficiency of the sandstone type uranium mine is effectively improved, and the exploration cost of the sandstone type uranium mine is reduced. The problems that deep alteration information is difficult to effectively recognize in a thick covering layer basin, oil gas micro-leakage and uranium mineralization mineralization are not clear in association, the utilization rate of multi-source data is low, the prospecting period is long, cost is high and the like in a traditional prospecting technology are solved.

The invention provides a crack pore medium multi-domain seismic inversion method and device, and relates to the technical field of geological prospecting, and the method employs a reflection coefficient calculation mode based on an accurate Graebner equation, and employs a Cauchy prior constraint to combine a target function constructed by a time domain and a frequency domain. The method realizes simultaneous inversion of three parameter profiles of porosity, crack weakness and water saturation, an accurate Graebner equation can accurately describe reflection coefficient characteristics of a crack medium, time domain inversion can enhance noise immunity, and frequency domain inversion can improve resolution, so that the accuracy, the noise immunity and the resolution of an inversion result are considered, and the method is suitable for large-scale popularization and application. And high-precision and high-resolution estimation of the porosity, the crack weakness and the water saturation is realized.

The invention relates to an ore control element extraction and weight determination method based on a knowledge graph, and the method comprises the following steps: constructing a geological mineral knowledge graph: collecting geological text data, extracting entities and semantic relationships in the geological text data, and constructing the geological mineral knowledge graph; network analysis and simplification: utilizing a community clustering algorithm to divide an ore deposit, and combing and simplifying a complex geological knowledge map in combination with a modularity algorithm process; subgraph generation: constructing a series of subgraphs according to community categories of nodes, and forming an information set which completely and structurally represents specific geologic features and metallogenic conditions; weight calculation and integration: quantifying the indicating significance of different geological entities on ore deposit prospecting through an entity-relation weight result, and defining the weight of ore control elements; and element screening: sorting according to the weight values, and rapidly screening out geological entities which have important influence on ore deposit mineralization as ore control elements. According to the invention, an intelligent and automatic decision support tool is provided for geological prospecting work.

The invention provides a skarn type polymetallic deposit prospecting exploration method and system based on three-dimensional modeling, and relates to the field of geological prospecting, and the method comprises the steps: obtaining deposit data of an area where a deposit is located, and carrying out the preprocessing of the data of the mined skarn type polymetallic deposit; selecting a multi-scale convolutional neural network as a deep learning model for training so as to predict the position where an ore deposit possibly exists in the unmined area; generating a geologic feature coefficient according to the predicted geologic features of the unmined area; generating a mineral characteristic coefficient through the mineral characteristic data of the three-dimensional model; comparing the mineral characteristic coefficient with a preset weight, and judging whether tungsten-tin ore exists or not; generating a mineral type judgment coefficient according to the content of mineral elements in the sample; generating a comprehensive prediction value through the geologic characteristic coefficient and the mineral characteristic coefficient, and judging the type of the ore deposit according to the comprehensive prediction value and the type judgment coefficient. The method improves the accuracy and efficiency of ore deposit prediction.

The invention discloses a gold mine rapid prospecting method suitable for a plateau desert region, and belongs to the field of gold mine prospecting, and the method comprises the steps: obtaining geological and chemical prospecting data, and selecting a prospecting region based on the geological and chemical prospecting data; acquiring a high-resolution satellite image of the prospecting area, and acquiring geological, construction and mineralization alteration characteristics of an abnormal area of the prospecting area based on the high-resolution satellite image to construct a geological data set; a gold ore metallogenic area prediction model is constructed based on the long and short term memory network and the convolutional neural network; and inputting the geological data set into the gold ore metallogenic area prediction model for calculation, and generating a gold ore metallogenic area delineation result. Compared with a traditional geological prospecting method, the method has the advantage that the prospecting cost can be remarkably reduced by utilizing the high-resolution satellite image and the deep learning model to perform gold ore metallogenic prediction. Meanwhile, due to the fact that the accuracy of the prediction result is higher, unnecessary drilling and sampling work can be reduced, and resources and time are further saved.

The invention relates to an alkaline miscellaneous rock type niobium ore prospecting method, which belongs to the technical field of geological prospecting, and comprises the following steps: systematically carding regional geological structure evolution and stratum lithology distribution, and mastering the distribution range, rock type and geological age of alkaline miscellaneous rocks; a gravimeter is adopted for measurement, and gravity abnormal data are obtained; the method comprises the following steps: collecting sediment samples in a water system in a target area, analyzing the content of niobium in the sediment, collecting surface and deep soil samples in a niobium element enrichment area, analyzing the content of the niobium element, collecting remote sensing image data in the target area, highlighting geological information related to alkaline miscellaneous rocks, and calculating the content of the niobium element in the target area. Comprehensively analyzing the remote sensing image, and delineating a possible mineralization alteration area; establishing a comprehensive database, and delineating a target region with the highest prospecting potential; sampling is conducted in the delineated target area, and the ore body position, scale and grade of the alkaline miscellaneous rock type niobium ore are determined. By comprehensively applying various technical means, the prospecting accuracy and efficiency are improved.

The invention relates to the technical field of geological prospecting, in particular to a cube prediction model prospecting method and system based on three-dimensional modeling, and the method comprises the following steps: based on the position information of a prospecting point, employing an electromagnetic imaging device, adjusting scanning parameters, collecting reflection electromagnetic waves at a plurality of positions of a target area, and calculating the position information of the prospecting point; and recording electromagnetic response data under various frequencies and intensities, and generating electromagnetic characteristic data. According to the method, by integrating electromagnetic imaging and geological data interpolation technologies, the underground structure is accurately evaluated and mapped, construction of a geological model is optimized, the utilization rate of data is improved, uncertainty and risks in mining are reduced, and by analyzing geometric morphology and texture features of an ore body, underground minerals are detected and distribution features are identified, so that the mining efficiency is improved. The method effectively guides the mineral exploitation strategy, optimizes the resource allocation, reduces the environmental damage and exploration cost, and enhances the scientificity and economic benefits of geological exploration through the deep analysis and model optimization of geological data.

The invention belongs to the technical field of geological prospecting evaluation, and discloses an ore body positioning method and a rapid sampling device for niobium-tantalum ore target region prediction and evaluation. According to the method, based on existing geological data, various geologic bodies in a 1: 250,000-1: 10,000 geological map are analyzed, distribution, form, invasion contact relation, formation times and other characteristics of alkaline rock masses are found out, and a favorable metallogenic area is delineated; a linear structure, an annular structure and alteration information are recognized through satellites and aerial images, and target area positioning is assisted; the method comprises the following steps: exploring and detecting ore-bearing rock mass and fracture structures through a magnetic method, delineating potential positions of ore bodies, and inferring geological attributes of abnormal sources in combination with geological data; measuring the total amount of gamma at different positions in the niobium-tantalum prediction target area by using radioactive detection equipment, and preliminarily judging the position of the niobium-tantalum ore according to a gamma abnormal result; and carrying out systematic sampling and assay analysis on the target area by using the rapid sampling device. By means of the method and device, the metallogenic geological condition and the prospecting prospect can be evaluated, and the exploration network degree is optimized.

The invention discloses a deep prospecting method and system based on ground-air electromagnetic detection, and relates to the technical field of geological mineral exploration. The method comprises the following specific steps: obtaining geological background data of a research area, carrying out field survey, determining transmitting and receiving positions, and carrying out ground-air transient electromagnetic measurement at different flight height positions to obtain ground-air electromagnetic detection data; preprocessing the ground-air electromagnetic detection data to obtain preprocessed data; performing inversion on the preprocessed data by using an inversion algorithm to obtain an electrical structure model of the underground medium; and according to the electrical structure model, predicting distribution and characteristics of an underground geologic body, and determining a mineral product position. According to the method, ground-air transient electromagnetic measurement is adopted for deep prospecting, denoising operation is carried out on the obtained data, and the exploration precision of deep mineral resources in the complex terrain area is improved.

The invention discloses a three-dimensional rapid forward and reverse modeling method and system for magnetic anomaly of an undulating surface, and belongs to the technical field of geological prospecting. Magnetic anomaly fields of a plurality of horizontal observation surfaces covering the undulating surface are obtained, and according to magnetic field values of space observation grid points on the plurality of horizontal observation surfaces, a local continuation method interpolation algorithm is adopted to calculate the magnetic anomaly of the undulating surface. And obtaining a magnetic anomaly value of the fluctuating surface measuring point. And performing reverse weighting on the magnetic anomaly values of the measuring points of the fluctuating surface to determine a grid point matrix of spatial observation grid points, performing inversion calculation on a magnetic anomaly field by adopting a conjugate gradient algorithm based on a conventional rapid inversion algorithm formula to complete rapid forward and reverse inversion of magnetic anomaly of the fluctuating surface, and realizing local interpolation by adopting an upward continuation algorithm to obtain the magnetic anomaly of the fluctuating surface. The method not only has actual physical significance, but also can keep the interpolation result stable and reliable, effectively ensures the overall calculation precision, and greatly improves the calculation efficiency of the three-dimensional inversion of the magnetic anomaly of the fluctuating surface by fully utilizing the advantage of an anomaly fast algorithm.

The invention discloses a sampler for underground water sampling, and belongs to the technical field of hydrogeological prospecting, the sampler for underground water sampling comprises a moving frame, a blocking block and an overturning cover are arranged, and when the sampler is used for assisting underground water sampling, the blocking block and the overturning cover are arranged to improve the shielding and sealing effects of a sampling opening when the sampling opening is not used; a second servo motor can be turned on to drive a blocking block fixedly connected with a telescopic rod to stretch out and draw back along the inner wall of the sampling opening through rotation of a threaded rod, so that the blocking block is not in contact with the sampling opening, and the sampling opening is prevented from being exposed outside to be placed in a diving manner; a threaded sliding rod slides to drive an overturning cover to perform overturning motion through rotation of a second rotating rod, so that the end part of a sampling opening is exposed outside, the effect that the sampling opening is communicated with the inner wall of the sampling box for use is achieved, and the linkage effect of soil prevention and effective sealing on the sampling opening when the sampling box is not used is achieved.