1219 results about "Geological exploration" patented technology

The invention discloses a geological structure three-dimensional reconstruction and analysis system based on multi-modal data fusion, and relates to the technical field of geological exploration information. The method comprises the following steps: acquiring and normalizing multi-source heterogeneous geological observation data through a preprocessing module, and generating basic data and a data coverage density map; the adaptive fusion module performs analysis to generate a dynamic adaptive weight field, and performs weighted fusion on the data to obtain a primary three-dimensional geological data volume; the construction and optimization module constructs a three-dimensional space residual field in a vector form based on the difference between the fusion body and the original data, and deduces the geometric morphology of the geological interface; the reconstruction module ensures the consistency between model layers through hierarchical bidirectional belief propagation processing; the quantification module calculates an uncertainty index; and the visualization module finally generates a three-dimensional geological scene. According to the method, the problems of conflict resolution and reliability evaluation in multi-source geological data fusion are effectively solved, and the precision of the three-dimensional geological model and the engineering decision support capability are improved.

The invention provides a core photograph automatic correction and cutting method based on YOLOv8-seg and perspective transformation, and belongs to the technical field of image processing, and the method comprises the steps: S1, collecting a core box image; s2, polygonal point sequence labeling; s3, obtaining an optimal segmentation model; and S4, cutting. Aiming at the problems of much manual intervention, low efficiency and poor adaptability in the existing core photograph processing, the invention provides a set of full-automatic end-to-end solution without preprocessing, realizes rapid and stable correction and cutting of the core photograph in a complex scene, relieves the mechanical labor burden of geological personnel, focuses on the core exploration work, and improves the core exploration efficiency. And the practical application requirements of large-scale geological exploration projects are met.

The invention discloses a rock mass structural surface identification method and system based on adaptive neighborhood and multi-seed-point growth, and relates to the technical field of geotechnical engineering, geological exploration and mining engineering, and the method comprises the steps: carrying out the adaptive non-uniform downsampling of three-dimensional point cloud data based on local feature entropy; retaining key geometric features of the structural surface while compressing the data volume; fusing the normal vector and the local point cloud density to carry out multi-feature classification; an improved region growing algorithm supporting parallel growth of multiple seed points is adopted, and a structural surface is accurately recognized; automatically extracting occurrence, spacing, trace length and roughness parameters of each structural surface; performing full-automatic advantage grouping on the occurrence through a DP-DBSCAN hybrid clustering algorithm; and constructing a three-dimensional discrete fracture network model based on the statistical parameters, and integrating the three-dimensional discrete fracture network model to discrete element software for mechanical response analysis. According to the method, full-process automation of rock mass structural surface recognition is realized, and the processing efficiency, the recognition precision and the engineering practicability are remarkably improved.

The invention discloses a three-dimensional tomography method and system for seismic exploration data migration, and relates to the technical field of geological exploration, and the three-dimensional tomography method comprises the following steps: laying a layered heterogeneous sensing array of adaptive terrain coupling in an exploration target area, the layered heterogeneous sensing array comprises a shallow fiber grating sensing layer, a middle MEMS sensing layer and a deep distributed fiber sensing layer, sensors are all provided with terrain adaptive coupling assemblies, and sensing shafts all point to the radial direction of an underground medium. According to the seismic exploration three-dimensional tomography imaging method, an iterative imaging mechanism of real-time geological constraint feedback is constructed, the limitation of traditional static geological constraint one-time importing is broken through, the imaging process can dynamically fuse newly added local geological data in the exploration process, the imaging model and the actual geological conditions are continuously adapted and optimized, and the imaging efficiency is improved. The integrating degree of the imaging result and the actual geological condition is enhanced, and the high requirement of deep complex area exploration for the imaging accuracy is met.

This invention discloses a method for indicating the degree of pyrite development in carbonate reservoirs, belonging to the field of geological exploration technology. Its key features include the following steps: a) selecting sensitive parameters to distinguish pyrite development based on the well logging response characteristics of pyrite-developed strata; b) establishing trend lines for the variation of sensitive parameters in formations with no or low pyrite content using these sensitive parameters; c) constructing trend lines for the variation of sensitive parameters with pyrite content based on strata data from key wells with different pyrite contents; d) identifying pyrite-enriched strata in the wells to be identified based on the intersection indications of the sensitive parameters; e) evaluating the degree of pyrite development in the pyrite-enriched strata by assessing the degree of difference in the intersection of sensitive parameters. This invention achieves the identification of pyrite-enriched strata through resistivity and sonic transit time intersection, enabling rapid and accurate identification of the degree of pyrite development in carbonate reservoirs.

The invention discloses a gold mine resource potential prediction method fusing a geological knowledge graph and a large model, and belongs to the technical field of mineral resource prediction, and the method comprises the steps: aggregating geological exploration data streams, constructing a space-time event knowledge graph, driving a pre-trained large model to carry out continuous tensor projection, and carrying out prediction. Encoding the metallogenic mechanism into a gauge tensor to construct a geological semantic Riemannian manifold; constructing a neural differential equation set representing metallogenic dynamics on the manifold; by taking observation data as a boundary, calculating an energy dissipation minimum value path through variational solution and geodesic line optimization; locking and representing a negentropy flow accumulation area of the ore body through phase-space reconstruction and persistence coherence test; and holographic mapping is carried out on the accumulation area to form a materialized prospecting target area, and a dynamic causal transcription report is generated. According to the method, a generative dynamic inversion normal form based on a physical mechanism is adopted, metallogenic prediction is reconstructed into solving of an evolution problem of a differential equation in a manifold space, the space-time inevitability of a metallogenic system can be replayed from static observation data, and a prospecting target region with causal interpretation is generated.

The invention discloses a mineral resource metallogenic law simulation and target prediction system based on big data, and relates to the technical field of geological exploration. The multi-source data acquisition and standardization module supports acquisition of five types of data, and the data are preprocessed and then transmitted to the distributed database; mining key elements by using an improved Apriori algorithm, and constructing a correlation graph; building a model based on Unity 3D, and integrating three types of dynamic simulation; performing three-level prediction by using a CNN-LSTM model; three-dimensional rendering and multifunctional display are supported; and automatically updating data, models and rules to form an optimized closed loop. According to the method, multi-source data is integrated to improve ore-forming element recognition comprehensiveness, dynamic simulation fits geological reality, AI prediction is accurate, uncertainty analysis is included, visual interaction is practical, iterative optimization continuously improves efficiency, invalid exploration cost is reduced, and mineral exploration is efficiently guided.

The invention relates to the technical field of geological physical exploration, discloses a geological exploration method and system based on multi-source data fusion, and aims to solve the problem that in the prior art, a single means is difficult to meet high-precision, high-efficiency and intelligent exploration requirements. The method comprises the following steps: synchronously acquiring remote sensing, geophysical, geochemical and drilling data through a multi-source data acquisition device; performing standardization processing on the heterogeneous data; geologic body features are extracted from the multi-source data and weighted fusion is carried out; constructing a physical constraint joint inversion model to optimize a geological parameter estimation value; a three-dimensional geologic structure model is generated and dynamically updated; and outputting an optimized exploration strategy in combination with the geological model and the exploration target. The system comprises a multi-source data acquisition module, a data standardization and space-time registration module, a feature fusion and joint inversion module, a dynamic three-dimensional geological modeling module and an intelligent decision support module. According to the technical scheme, effective fusion and intelligent analysis of multi-source data can be realized, and the precision and efficiency of geological exploration are remarkably improved.

The invention provides a geological structure intelligent detection system and method for a deep special space, and relates to the technical field of geological exploration. The geological structure intelligent detection system and method for the deep special space comprises the steps that S1, a distributed sensor network is deployed in the deep special space, and seismic wave, electromagnetic field, sound wave, temperature and strain multi-physical field original detection data are synchronously collected; constructing a noise channel model based on a quantum computing principle, and modeling the original detection data; a quantum inspired adaptive filtering algorithm is applied, and noise characteristics are estimated in real time through variational optimization. Through synchronous acquisition of a distributed multi-physics field sensor network and an adaptive filtering technology of quantum inspiration, effective enhancement of weak characteristic signals is realized in a strong noise environment, and the signal-to-noise ratio and the target geological structure identification precision are significantly improved; and a neural network inversion model is combined with physical information constraint.

The invention relates to the field of geological exploration, in particular to an intelligent analysis method and system for geological exploration data of a coal mining subsidence area. The invention discloses an intelligent analysis system for geological exploration data of a coal mining subsidence area. The intelligent analysis system comprises a data acquisition module, an underground three-dimensional model construction module, a foundation stability evaluation module, a residual deformation prediction module and a suitability judgment module. According to the method, multi-source data such as drilling data, geophysical prospecting data, remote sensing topographic data, monitoring actual measurement data and geotechnical test data are comprehensively analyzed, a unified underground three-dimensional model is constructed, and the limitation of data isolation of a traditional exploration method is broken through; according to the method, through drilling and geophysical prospecting bidirectional complementary correction and combination of a settlement monitoring sequence and static attributes, a more accurate and comprehensive geological exploration result is provided for a coal mining subsidence area, and the accuracy of foundation stability evaluation and deformation prediction is remarkably improved.

The invention provides a subway tunnel water disaster risk evaluation method under extreme rainfall based on multi-source data, and belongs to the technical field of urban rail transit disaster prevention. The method comprises the following steps: establishing a grading evaluation system on the basis of field rainstorm monitoring data, hydrogeological parameters, field geological exploration, rock-soil physical and mechanical parameters, monitoring data of a tunnel lining structure and material strength parameters of a tunnel site area in combination with a plurality of developed tests, dividing corresponding grades and determining an influence index-; and S4, respectively carrying out weight calculation on the influence index-by adopting an analytic hierarchy process and an entropy weight method, then calculating a dynamic weight of the influence index-, correcting an abnormal dynamic weight, generating a comprehensive score, dividing risk grades, matching graded prevention and control measures, and optimizing and adjusting the prevention and control measures in real time through a parameter risk grade dynamic judgment and construction method matching mechanism. According to the method, minute-level accurate interpretation of a disaster evolution mechanism and dynamic optimization adaptation of a prevention and control scheme are realized.

The invention discloses a geophysical three-dimensional visualization and geologic model construction system, which belongs to the technical field of geophysical data processing and three-dimensional geologic modeling and comprises a multi-source data acquisition module, a volume rendering module, an interactive segmentation module, an uncertainty expression module, a multi-scale fusion module, an attribute interpolation module and a model construction module. Multi-source geophysical data are converted into a visual three-dimensional visual model through a volume rendering technology, an interactive segmentation algorithm is adopted to accurately extract a geologic body boundary, an uncertainty expression mechanism is innovatively introduced to quantify the reliability of the model, and a multi-scale fusion technology is integrated to realize seamless connection from a regional structure to an ore deposit fine structure. The Kriging interpolation functional product physical property parameter three-dimensional distribution field is provided, the spatial cognitive ability and the decision-making efficiency under the complex geological condition are remarkably improved, and a powerful visual analysis platform is provided for geological exploration and resource evaluation.

The invention discloses an edge sea petroliferous basin paleotopography inversion method based on a machine learning algorithm, and belongs to the technical field of geological exploration and data processing. The method comprises the following steps: constructing a seismic profile data pool and carrying out image preprocessing; establishing an affine transformation relationship between pixel coordinates and physical coordinates by using an image digitization tool, and extracting a two-dimensional data sequence; establishing a mapping function of the measuring line distance and the longitude and latitude, and constructing a three-dimensional scatter data set; carrying out gridding interpolation by adopting a K nearest neighbor regression algorithm, and constructing a three-dimensional grid model; performing motion back-pushing and deformation-removing correction by using a plate reconstruction technology to obtain a paleotopography model; and generating a three-dimensional dynamic visualization result of paleotopography evolution through time interpolation. The method solves the problems that seismic profile images cannot be quantitatively analyzed, sparse data interpolation is difficult, and paleotopography inversion neglects structural deformation, and provides technical support for multiple fields such as oil-gas exploration.

The invention relates to the technical field of geological exploration, discloses an ore body detection optimization method and system under a complex terrain, and aims to solve the problems of difficult layout, strong data interference, high multiplicity of solutions and insufficient detection precision under the complex terrain in the prior art. The method comprises the following steps: collecting high-precision digital elevation model data and extracting topographic feature parameters; fusing multi-source geological information to establish a spatial registration model; generating an optimal survey line layout based on topographic constraint conditions and dynamically configuring instrument parameters; correcting the original detection signal in real time; adopting a multi-constraint joint inversion algorithm to reconstruct an underground physical property structure and identifying mine-caused anomalies; and performing dynamic evaluation and parameter iterative optimization according to an inversion result and field verification data. The system comprises a topographic data acquisition and preprocessing module, a multi-source geological information fusion module, a detection parameter adaptive optimization module, a signal distortion real-time correction module, an intelligent inversion and anomaly recognition module and a strategy iteration feedback control module. According to the technical scheme, high efficiency, accuracy and low cost of ore body detection under complex terrains can be realized.

The invention belongs to the technical field of mine geological exploration, and discloses a strip mine geological environment simulation early warning method and system based on a dynamic evolution model. The method comprises the following steps: constructing a dynamic simulation evolution model based on multi-source data information of an exposed mine in a preset range; based on the dynamic simulation evolution model, geological environment evolution simulation and estimation are carried out on an area in a preset range, an area where an abnormal geological environment possibly exists is identified, and monitoring equipment is arranged in the area where the abnormal geological environment possibly exists; the method comprises the following steps: collecting monitoring data in a preset range through monitoring equipment, and processing and analyzing the monitoring data to obtain a data analysis result; and constructing a geological environment data tracking model based on the data analysis result, carrying out dynamic tracking on the geological environment by using the geological environment data tracking model, and generating early warning information according to the tracking result. According to the scheme, the defects that a traditional exploration method is single in data and lagged in judgment can be effectively overcome, and the mining safety risk and monitoring cost of the strip mine are greatly reduced.

The invention provides an auxiliary rock core geological logging method based on drilling parameters, and relates to the technical field of geological investigation, the method is applied to a logging control terminal, and the method mainly comprises the following steps: obtaining regional typical rock core samples and five types of drilling parameter signals, classifying and extracting static characteristics of the rock core samples, and carrying out parallel noise reduction analysis on the parameter signals; obtaining a matching relationship between the rock core and the parameter signal, and constructing a lithologic parameter bidirectional association reference library; on the basis of the matching relation of the lithologic parameter bidirectional association reference library, the model is embedded into an incremental learning module to update the weight, and a subsection lithologic pre-judgment result is output; and calling a preset catalog template to load a pre-judgment result, generating a catalog report after man-machine interaction recheck and correction, collecting correction data, reversely transmitting the correction data back to the reference library to update a matching relationship, and triggering incremental learning of the model to complete a closed loop. The technical problems that in traditional rock core logging, regional lithology adaptation is poor, parameter interference is large, a model is not dynamically optimized, the deep operation risk is high, and efficiency is low are effectively solved.

The invention relates to a large-strain consolidation algorithm, equipment and medium for horizontal vacuum dehydration of sludge, and the algorithm comprises the following steps: 1, obtaining basic parameters of a constitutive relation of a target soil body through an indoor consolidation experiment and a penetration experiment, 2, obtaining load conditions of the target soil body through surveying a geological exploration report and an engineering design scheme, the method comprises the steps of (1) establishing a one-dimensional PHD consolidation model, (2) establishing a one-dimensional PHD consolidation model and deducing a control equation under equal strain conditions, (3) introducing a virtual time step and calculating the consolidation degree in a manner of carrying out segmented increment processing on time, (4) establishing the one-dimensional PHD consolidation model and deducing a control equation under equal strain conditions, and (5) calculating the final consolidation degree based on the virtual time step and the control equation, and further comprises equipment and a medium. According to the method, the influence of non-uniform consolidation is incorporated into the one-dimensional theoretical consolidation analysis of the Taisha foundation, and the consolidation coefficient is corrected by using the control equation based on the virtual time step and the strain condition, so that convenient and accurate consolidation calculation is realized.

The invention relates to the technical field of mineral resource exploration, in particular to a deep concealed ore body prediction method and system. The method comprises the following steps: acquiring geological exploration data, geophysical data and lithologic physical property probability distribution data of a target area; constructing a three-dimensional geological model according to the geological exploration data; performing inversion calculation on the geophysical data by taking the three-dimensional geologic model and the lithologic physical property probability distribution data as constraints to obtain a three-dimensional geophysical model; fusing the three-dimensional geologic model and the three-dimensional geophysical model to obtain a three-dimensional geologic-geophysical model; and determining the mineralization probability of the deep concealed ore body according to the three-dimensional geology-geophysical model. The problem that in the prior art, deep hidden ore body prediction is not accurate enough is solved, the three-dimensional geology-geophysical model is gradually constructed by obtaining the geological exploration data, the geophysical data and the lithologic physical property probability distribution data of the target area to be explored, then ore body prediction is conducted, and the accuracy of ore body prediction is improved.

The application relates to the technical field of geological exploration, in particular to a wireless seismograph field burying equipment and a working method, which comprises a module square warehouse, a drum stock bin is arranged in the module square warehouse, a cloth drilling integrated machine and a mechanical hand are arranged on one side of the drum stock bin; the drum stock bin comprises a drum stock bin support, one end of the central shaft of the drum stock bin support is connected with a driven chain wheel, one rotary disc is arranged on the inner side of each of the two drum stock bin supports, the two rotary discs are hinged with the outer side wall of a code frame, and the wireless seismograph is placed in the code frame; the cloth drilling integrated machine comprises a moving platform back plate, a guide rail is arranged on the outer side of the moving platform back plate, a first hydraulic cylinder is arranged on the top of the guide rail, a hydraulic motor is arranged on the top of a fixed connecting plate, an oil cylinder is hinged on the outer side of the fixed connecting plate, the oil cylinder is hinged with a lower pressing semicylinder, a soil pressing outer sleeve and a limiting cylinder are arranged below the lower pressing semicylinder, and the side wall of the limiting cylinder is connected with a slide guide cylinder; the mechanical hand can clamp the wireless seismograph in the code frame and send the wireless seismograph into the cloth drilling integrated machine.

The application discloses a sampling device for geological exploration, which comprises a geological sampling mechanism and a scale expansion mechanism. The geological sampling mechanism comprises a bottom plate, and a gas cylinder is fixedly connected to the top of the bottom plate. The application relates to the technical field of exploration sampling. The sampling device for geological exploration is combined with the geological sampling mechanism and the scale expansion mechanism. The two mechanisms are arranged so that when the sampling cylinder is lowered for sampling, the U-shaped supporting frame extends out of the side groove by the pressure of the core column. When the sampling cylinder drives the core column to rise, the U-shaped supporting frame supports the lifting supporting piece. The inclined pressing plate, the inner groove sliding frame and the tooth block are matched, so that the seal block can continuously and uniformly pass through the side groove and expand on both sides of the core column. Therefore, the scale line can be marked in advance when the core column is still in a whole in the sampling cylinder.

The invention discloses a water-rich broken surrounding rock directional grouting method based on an external magnetic field. The method comprises the following steps that 1, geological exploration is conducted on a target water-rich broken surrounding rock area; step 2, mixing the base material, the nano ferroferric oxide magnetic particles, the rheology regulating agent, the dispersing agent and the coagulation accelerator according to a mass ratio; 3, injecting alternating current with the frequency of 50-500Hz into the electromagnetic coil to generate a rotating magnetic field with the intensity of 3-10kA / m, and driving the slurry to directionally migrate along the main fracture area; 4, the grouting pressure of the pre-buried pressure sensor is monitored in real time, when the pressure change rate delta P / delta t is larger than or equal to 0.1 MPa / min, the electromagnetic coil injection frequency is switched to alternating current of 1 kHz to 10 kHz, so that the intensity of a magnetic field is improved to 8 kA / m to 15 kA / m, and grouting on the micro-crack area is enhanced; and 5, when the pressure change rate delta P / delta t is smaller than + / -0.1 MPa / min and lasts for 5-10 min, grouting operation is ended. The method aims at solving the problems that in grouting reinforcement of the water-rich fractured stratum, slurry is lost along with water flow, micro-cracks are difficult to fill, and reinforcement bodies are distributed unevenly.

The invention relates to the technical field of geological exploration and three-dimensional modeling, and discloses a geological structure three-dimensional measurement system based on inertial navigation. According to the system, an inertial measurement data flow is processed through a resolving module, the instantaneous space attitude and the relative displacement vector of a measurement carrier are obtained, and a basic three-dimensional geologic structure model is constructed. The quantization module calculates the confidence coefficient of a resolving result in real time and generates a space-time uncertainty distribution field; and the model correction module performs error propagation analysis by using the distribution field, and performs iterative optimization of geometric morphology on a low-confidence region in the model. The system imports lithology, formation and structure interpretation data from the outside, and associates the data as attributes to the model. And the result packaging module packages the optimized model, the association attribute and the uncertainty distribution field into a composite three-dimensional geological survey result file. According to the method, dynamic quantification and visualization of measurement uncertainty are realized, the model can be autonomously optimized, and the reliability and precision of inertial navigation three-dimensional geological modeling are improved.

The invention discloses a CNN-LSTM fused geothermal exploitation productivity optimization prediction system, which belongs to the technical field of geothermal productivity prediction, and comprises the following process modules: S1, data acquisition; s1-1, geological exploration equipment; s1-2, geothermal well monitoring equipment is used; s1-3, monitoring equipment of the heating system; s2, data preprocessing; s2-1, a missing value processing unit; s2-2, an abnormal value detection unit; s2-3, carrying out unit normalization; s3, a feature screening module; s3-1, a correlation analysis unit; and S4, a model construction module. The CNN-LSTM fused geothermal exploitation productivity optimization prediction system not only can realize comprehensive data coverage so that the model can accurately capture dynamic changes of a geothermal system, but also can reduce redundant variables through feature screening so as to realize accurate prediction, dynamic optimization and intelligent regulation and control of geothermal exploitation productivity; high-precision, high-efficiency and high-adaptability technical support is provided for scientific development of geothermal energy, and the geothermal energy is promoted to advance towards the predictable, controllable and sustainable direction.

The invention discloses a sampling device for traffic geology surveying and mapping exploration, and relates to the field of geological prospecting, the sampling device comprises a U-shaped moving plate and a sampling pipe, the sampling pipe is located above a U-shaped groove of the U-shaped moving plate, a drill bit is installed at the bottom end of the sampling pipe, a sleeve is arranged in the sampling pipe, two annular blocks are fixed on the inner wall of the sleeve, a vertical rod is arranged in the sleeve, and the vertical rod is connected with the drill bit. A threaded pipe is arranged on the upper surface of the drill bit, a movable cavity is formed in the pipe wall of the threaded pipe, a movable plate is slidably installed in the movable cavity, the bottom end of the movable plate penetrates out of the movable cavity to be fixedly connected with the top end of the drill bit, internal threads are arranged on the inner wall of the bottom end of the sampling pipe, and external threads of the threaded pipe are connected with the internal threads in a meshed mode; according to the rotary drilling device, the drill bit can form continuous and stable impact crushing action, drilling resistance caused by hard rock strata and special geological structures is effectively broken through, and propelling difficulty caused by pure rotary drilling is avoided.

The invention relates to the technical field of three-dimensional visualization, in particular to a geological exploration three-dimensional visualization analysis system which comprises a spatial discretization construction module, an interface geometric feature extraction module, an attenuation factor calculation module, an internal stress field inversion module and a voxel lighting effect mapping module. According to the method, by constructing a voxelization space system and combining projection coordinates of a top plate and a bottom plate of the stratum, the geometric bending degree and local thickness variation characteristics of the stratum interface are accurately quantified, and a mapping relation between a spatial form and an internal stress field is established by utilizing geometric conduction factors; the method can invert tectonic stress distribution from stratum extrusion deformation and thickness reduction trends, effectively identify a hidden stress concentration area in a geologic body, dynamically adjust optical attributes of regular hexahedron units according to stress intensity, convert abstract mechanical characteristics into visual three-dimensional images, realize spanning from pure geometric display to internal physical mechanism analysis, and improve the analysis accuracy of the geologic body. And the identification precision and the early warning capability of the geological disaster source are obviously improved.

The invention relates to the technical field of ultra-deep geological exploration engineering, and discloses an ultra-deep horizontal hole full-hole coring and trajectory cooperative control system, which integrates a high-precision sensor and professional monitoring equipment through a geological data acquisition module to construct a multi-dimensional data monitoring system; the geological data transmission module adopts a dual backup scheme of drill rod built-in optical fiber and mud pulse transmission, is connected with the geological data acquisition module and the geological data analysis module through an industrial Ethernet, is carried with a 5G industrial module, and supports remote data access and instruction interaction of each functional module; the geological data analysis module comprises a processing unit and an analysis unit, the processing unit preprocesses the acquired data, and the analysis unit extracts the preprocessed data to calculate a trajectory deviation value and a rock core recovery rate; and the decision feedback module sends out feedback processing according to the calculation results of the trajectory deviation value and the core recovery rate. The system solves the problem of insufficient accuracy of traditional track evaluation.

The invention discloses a geological rock rare earth element quantitative analysis method and system based on laser-induced breakdown spectroscopy, and belongs to the technical field of element spectral analysis, and the geological rock rare earth element quantitative analysis method comprises the following steps: constructing a dual-acquisition system to obtain a spectral signal and a plasma image of a rock sample, and preprocessing the spectral signal and the plasma image; determining rock lithology through a classification model, calculating plasma temperature based on the spectral signal, calculating brightness based on the plasma image, and correcting the plasma temperature; and constructing a multi-category bimodal quantitative analysis model, and inputting the lithology, the corrected temperature and the preprocessed image to complete quantitative analysis. The system comprises a data acquisition subsystem and a quantitative analysis subsystem, and data acquisition time sequence consistency and analysis reliability are guaranteed. According to the method, a bimodal data architecture is adopted, temperature correction and an advanced feature fusion network are combined, the limitation of single spectral data is broken through, the analysis precision and stability are improved, and popularization and application in geological exploration scenes are facilitated.

The invention relates to the technical field of tunnel engineering construction, and discloses an integral construction method for a stacked tunnel, which adopts an integral construction mode that no soil body is left in a crossed and overlapped section of an upper-layer main line tunnel and a lower-layer main line tunnel, and excavation and supporting structures are constructed in the same period, and specifically comprises the following steps: step 1, in a construction preparation stage, firstly, geological investigation is performed on a stacked area; and determining surrounding rock grades (III grade, IV grade and V grade) and geological parameters. The construction method has extremely high geological suitability, dynamic optimization is performed from multiple aspects such as an excavation mode, a support material ratio and monitoring frequency by establishing a surrounding rock grade-construction parameter matching model, and surrounding rock conditions with different stability from grade III to grade V can be flexibly adapted. And the temporary support is dismantled by adopting a segmented unloading technology, the dismantling sequence, the speed and the stress change are strictly controlled, impact on the completed lining structure is avoided, the section size is rechecked through a laser range finder after dismantling, and it is ensured that the construction quality reaches the standard.

The invention relates to a refined three-dimensional geological modeling method based on a geophysical prospecting three-dimensional inversion algorithm, and belongs to the field of geological exploration, and the method comprises the steps: obtaining multi-source data, constructing an initial model, and obtaining a three-dimensional physical property model through the combined constraint of the three-dimensional inversion algorithm; creating a lithology classifier, generating a three-dimensional lithology probability body according to the three-dimensional physical property model, performing geological structure boundary enhancement, and performing geological classification based on the probability body; and extracting a contour surface from the three-dimensional lithologic probability body, generating a preliminary geological interface, performing construction processing, performing attribute model coupling, and outputting a model. According to the method, the spatial continuous model is directly constructed through three-dimensional joint inversion, and interpolation errors between measuring lines are avoided; drilling data forced matching and geophysical prospecting data trend control consider both local precision and global rationality; the whole process algorithm is driven from inversion to lithology classification, and manual intervention is reduced; the method is suitable for high-precision scenes such as urban underground space, mineral exploration and geological disaster assessment.

The invention discloses a fracture network three-dimensional reconstruction and connectivity evaluation method and system based on Monte Carlo simulation, and belongs to the technical field of geotechnical engineering geological exploration and digital rock mass modeling. The method comprises the following steps: firstly, acquiring a two-dimensional fracture image of a drill hole, extracting geometric parameters, and acquiring three-dimensional plane initial parameters through a dimension conversion model; introducing Monte Carlo simulation, extending the deterministic plane model into a probability distribution model, and generating a large number of plane instances; calculating statistical characteristics of distances and included angles between fracture planes, and constructing a connectivity probability mapping function to evaluate a comprehensive connectivity probability; and finally, generating a global uncertainty cloud picture based on analysis results of all fracture pairs to identify a high-uncertainty region, and proposing an optimization and supplementation drilling scheme according to the high-uncertainty region. According to the method, the fracture network is transformed from deterministic reconstruction to probabilistic evaluation, connectivity can be quantified, uncertainty can be visualized, and a scientific basis is provided for engineering exploration decision making.