906 results about "Geophysical prospecting" patented technology

The invention relates to the technical field of geophysical exploration, and particularly discloses a tunnel surrounding rock stability automatic monitoring and early warning method and system. The method comprises the steps that surrounding rock microseismic signals, convergence displacement and osmotic pressure data are collected through a space-time synchronization array to generate a multi-source fusion data set; based on a dynamic constitutive model separation frequency dispersion effect, extracting correlation characteristics of a microseismic event rate and a displacement rate; generating an instability energy density index; dynamically switching impact or creep damage criteria according to the deformation behavior of the surrounding rock; inputting the indexes into corresponding criteria to generate a damage state result; and if the result exceeds the threshold value, verifying the spatial focusing property of the micro-seismic event cluster, and outputting an early warning instruction when the focusing degree exceeds the critical value. Through multi-source fusion and a dynamic criterion mechanism, the accuracy of tunnel surrounding rock instability early warning is remarkably improved.

The invention provides a BIM (Building Information Modeling)-based rail transit construction geological exploration profile generation method, which belongs to the technical field of exploration measurement and comprises the step of comprehensively improving the accuracy of rail transit construction geological exploration through an advanced data acquisition and intelligent analysis method. In a construction site, multi-dimensional data of geological drilling, geological radar, geophysical prospecting testing and the like are acquired through various precise instruments, and a three-dimensional coordinate system is firstly established; and deep feature extraction is performed on complex data by using a deep learning algorithm, and key information such as geological stratification, rock and soil parameters and underground water level is accurately obtained. Intelligent fusion of multi-source data is realized by constructing a geological stratification model, a rock and soil parameter model and an underground water level model, and a comprehensive geological information model is generated. And importing the extracted geological profile data into a BIM platform, and carrying out strict precision verification and optimization by adopting a professional geological information collaborative equation set to finally form a highly accurate and reliable rail transit construction geological exploration profile.

The invention belongs to the technical field of geophysical exploration. The invention provides an inversion method and system based on transient electromagnetic and ground penetrating radar data collaborative correction, and the method comprises the steps: converting the preprocessed ground penetrating radar data into a format of transient electromagnetic detection data, or converting the preprocessed transient electromagnetic detection data into the format of the ground penetrating radar data; performing weighted summation on the ground penetrating radar data and the transient electromagnetic detection data after format conversion to obtain fusion data; performing three-dimensional joint inversion according to the fused data to obtain a final three-dimensional joint inversion result; according to the method, collaborative detection of different depths of the detection area is realized, a brand new underground structure detection interpretation scheme is provided through intelligent data preprocessing, intelligent correction and three-dimensional joint inversion technologies, and comprehensive, efficient and high-precision interpretation of the underground structure is realized.

The invention provides a shield adaptability adjusting method based on a stratum structure, which comprises the following steps: acquiring geological parameters of a construction area of a shield tunneling machine through drilling and geophysical prospecting, and arranging sensors at key positions of the shield tunneling machine to acquire construction parameters of the shield tunneling machine in real time; a convolutional neural network CNN is adopted to analyze the geological parameters to identify stratum features, and a geological model is constructed based on the identified stratum features; constructing a disaster risk index system, and predicting a disaster risk based on the geological model and the construction parameters by adopting Logistic regression and a random forest algorithm; according to the predicted disaster risk, the cutterhead configuration of the shield tunneling machine is dynamically adjusted, and tunneling parameters are optimized or a muck improvement scheme is adopted; by monitoring geological parameters, construction parameters and environmental changes in real time, a multistage early warning mechanism is adopted to trigger emergency response measures, and construction safety is guaranteed. According to the method, the safety and efficiency of shield construction can be improved, the geological disaster risk is reduced, and reliable technical guarantee is provided for underground space development.

The invention discloses an earth geology physical three-dimensional modeling method based on multi-data fusion, which comprises the following steps: A, data acquisition: acquiring geological data through geological exploration and measurement technologies, comprising geological profile, underground water level, lithology, structure, surface digital elevation model (DEM) data, remote sensing image data, surface geographic information data, drilling data, geological plane data, profile data, stratum isoline data, fault data, geophysical prospecting data, dynamic data and related document data. According to the invention, data of geological profile, underground water level, lithology, structure, earth surface digital elevation model (DEM) data, remote sensing image data, earth surface geographic information data, drilling data, geological plane data, profile data, stratum isoline data, fault data, geophysical prospecting data, dynamic data and related document data are collected. And the data can be effectively integrated.

The invention belongs to the field of geophysical exploration, and particularly relates to an aviation natural source electromagnetic method complex medium parallel three-dimensional forward modeling method. Comprising the following steps: S1, constructing a three-dimensional geological geometric model of a research area; s2, generating a model unstructured tetrahedral mesh; s3, setting anisotropic conductivity tensor and magnetic conductivity of the model unstructured tetrahedral mesh; s4, constructing a frequency domain electric field control equation; s5, adopting a vector finite element discrete electric field control equation; s6, setting boundary conditions; s7, solving a finite element linear equation; s8, calculating three components of an electric field and a magnetic field at the measuring point and the base station; and S9, calculating impedance, apparent resistivity, phase and tipper data at the measuring point. According to the method, a three-dimensional forward modeling algorithm is provided for the aviation natural field source electromagnetic method, a basis is provided for research of the aviation natural field source electromagnetic method theory and inversion interpretation of actual observation data, and then the aviation natural field source electromagnetic method can better serve the application fields of mineral exploration, engineering exploration and the like.

The invention discloses a geological mineral exploration data extraction method and system, and relates to the technical field of geological mineral exploration data extraction, and the method comprises the steps: carrying out the data collection of a target region through a multi-source data collection method, obtaining satellite remote sensing data, unmanned aerial vehicle aerial survey data and ground geophysical prospecting data, and obtaining an original data set; preprocessing the collected data by adopting a preliminary data processing method, removing noise and correcting errors to obtain a high-quality data set; integrating data from different sources in the high-quality data set by adopting a weighted fusion algorithm to generate a comprehensive database and obtain a comprehensive data set; performing high-resolution geophysical exploration on the fused comprehensive data set by adopting a geophysical exploration technology to obtain underground structure information; analyzing the exploration data by adopting a geophysical inversion technology, and identifying the position of a potential ore body to obtain an ore body distribution map; the method is based on the comprehensive data set, underground structure information and the ore body distribution diagram.

The invention belongs to the field of geotechnical engineering and engineering geological information modeling, and relates to a stratum-parameter coupling randomness three-dimensional random field modeling and shield construction ground surface settlement rapid prediction method and device based on multi-source data fusion. According to the method, a three-dimensional joint random field acting on stratum types and rock-soil key physical property parameters at the same time can be constructed under the joint constraint of multi-source data such as drilling, geophysical prospecting, geotechnical tests and terrains, and a calibrated, explainable and updatable geological section automatic generation and uncertainty quantification channel is formed; on the premise that geological rationality is guaranteed, section geometry and parameter distribution under the conditions of complex structures and lateral phase change are restored robustly, the accuracy, consistency and interpretability of the three-dimensional geological section are remarkably improved, and a combined uncertainty result which can be directly used for rapid prediction and risk assessment of shield construction settlement is output. The technical problems that a geological section generated by an existing method is not accurate enough, uncertainty is difficult to quantify, and the extrapolation capacity of a complex scene is weak are solved.

The present application relates to the technical field of seismic data imaging and migration in geophysical prospecting for petroleum. Provided are a multi-wave migration imaging method and apparatus based on an iterative deconvolutional imaging condition. The method comprises: acquiring a seismic wave forward wave field and a seismic wave reverse wave field; using a deconvolutional imaging condition to perform multi-wave imaging on the seismic wave forward wave field and the seismic wave reverse wave field so as to obtain an initial imaging result; taking the seismic wave forward wave field, the seismic wave reverse wave field and the initial imaging result as inputs, using an iterative deconvolutional imaging method to perform multi-wave imaging, so as to obtain an iterative deconvolutional multi-wave imaging result; during the multi-wave imaging, determining an objective function value of the deconvolutional imaging; if the objective function value does not meet a preset condition, iterating the imaging result until the objective function value of the deconvolutional imaging meets the preset condition, and generating a final iterative deconvolutional multi-wave imaging result according to an imaging result obtained after iteration.

The invention relates to the technical field of artificial intelligence and geophysical prospecting, and discloses a drilling image intelligent pickup method and system based on deep learning. The method comprises the following steps: firstly, making a data set of a drilling image by using drilling data collected by a drilling probe, and automatically picking up different types of structural surfaces such as rock vein filling and cracks on a hole wall image by using a multi-classification task constructed by an instance segmentation module in a deep learning network model YOLOv8; according to a polynomial fitting formula, mask coordinates obtained after instance segmentation are subjected to fitting to obtain a sine curve of a structural plane, extreme points of the curve after fitting are calculated through mathematical transformation, spatial transformation and other modes, corresponding tendencies, dip angles and other occurrence of the structural plane are obtained, and finally a drilled hole image obtained after automatic analysis and drawing of an algorithm model is output.

The invention relates to the technical field of geophysical exploration, in particular to a multichannel deep learning magnetotelluric inversion method based on physical information constraint. The method comprises the following steps: generating a synthetic data set containing a geoelectric model and forward modeling response thereof, and adding a noise simulation actual observation condition; constructing a hybrid network architecture combining Transform and U-Net, taking apparent resistivity and impedance phase as dual-channel input, extracting global features by using an encoder, gradually recovering spatial resolution through a decoder, and outputting an underground resistivity model; network training adopts a composite loss function fusing model loss and data loss, and an inversion process is constrained by introducing a magnetotelluric forward modeling physical rule, so that a result is ensured to fit observation data and conform to a physical mechanism; after training is completed, preprocessed actual measurement data are input into the model, and a resistivity image can be directly obtained. The method is used for geological structure identification and reservoir interpretation, and the inversion precision and reliability are effectively improved.

Methods and systems for geophysical exploration include accessing, from a data store, measured gravity values for a geographical area; modeling gravity values for the geographical area; determining gravity anomaly values based on the measured gravity values and the modeled gravity values; A gravity anomaly map of the geographical area is generated based on the determined gravity anomaly values and physical locations in the geographical area associated with the determined gravity anomaly values. A dip surface is generated representing inclinations of the geographical area based on the gravity anomaly map. A gravity dip map of the geographical area is generated by combining the dip surface with the gravity anomaly map, and a visual representation of the gravity dip map of the geographical area is displayed, on a display device, wherein colors of the visual representation represent the values of the gravity map.

The invention discloses a geophysical prospecting system and method for seismic survey. The system comprises a seismic source and receiving point laying module, a data acquisition module, a data processing module, a three-dimensional imaging module, a data interpretation module, a comprehensive analysis module, auxiliary equipment and an early warning module. The data processing module comprises a preprocessing module, a speed analysis superposition processing module and an offset processing module. According to the invention, data with high quality, signal-to-noise ratio and accuracy can be obtained by adding the density of the receiving points and combining the speed analysis superposition processing module to carry out superposition correction processing on the data, and meanwhile, by combining the reverse time migration technology, an underground structure can be accurately recovered, the imaging quality is improved, the subsequent interpretation and analysis work of personnel is facilitated, and the working efficiency is improved. The exploration accuracy is improved, and personnel can more accurately reveal the underground geologic structure conveniently.

The invention relates to the technical field of geophysical exploration, and particularly provides a three-dimensional finite element transient electromagnetic forward modeling calculation method based on an iterative solution method.The method comprises the steps that tetrahedron space discretization is carried out based on a vector finite element method, and an electric field is given to six edges of a space tetrahedron; constructing a back-pushing Euler finite element equation set, and assembling a linear system formed by a large sparse matrix based on the equation set; performing iterative solution on the linear system based on an FGMRES algorithm to obtain an electric field value corresponding to a spatial tetrahedron unit edge; optimizing a spatial tetrahedral mesh based on a quadratic nesting method, and optimizing a time step length based on a third-order backward Euler difference format; a grid pre-encryption method is adopted, the calculation error of iterative solution is reduced, a region decomposition method is used for achieving parallel calculation, and the calculation efficiency is greatly improved. According to the method, the requirements of high precision and high efficiency in three-dimensional transient electromagnetic forward modeling calculation can be met, and an advanced calculation tool is provided for resource exploration in a complex geological environment.

The invention provides a multi-source geophysical prospecting data fused Zenzenite rock mass contact zone anomaly method and system, and relates to the technical field of geophysical prospecting, the method comprises the following steps: executing joint denoising processing and time-frequency feature enhancement processing on a TFEM data set in a three-dimensional fused data volume, and outputting the optimized three-dimensional fused data volume; and based on the optimized three-dimensional fusion data body, by establishing a mapping relationship between magnetic, electric and polarization anomalies and a geologic body, quantifying the correlation between a multi-parameter combination and a mineralization index and screening an up-to-standard abnormal region, and finally delineating a magnetic anomaly gradient zone, a low-resistance region and a high-polarization anomaly co-occurrence ore prospecting target region three-dimensional distribution diagram. Through multi-source geophysical prospecting method collaboration, data deep fusion, quality optimization and accurate mapping, full-chain technology upgrading from data acquisition to target area delineation is realized, and the high efficiency of mineral exploration is improved.

The invention relates to the field of mine geophysical exploration, and discloses a fully mechanized coal mining face geological abnormal area prediction method based on multi-source data, and the method comprises the steps: carrying out the detection of a fully mechanized coal mining face through a radio pit penetrating device and a slot wave seismograph, and obtaining a working face CT image and a slot wave energy attenuation coefficient image; analyzing a distribution rule of a plurality of abnormal prompt areas in the working face CT image, and delimiting a plurality of candidate abnormal areas to obtain an average abnormal amplitude value of each candidate abnormal area; analyzing a plurality of slot wave attenuation high value abnormal regions in the slot wave energy attenuation coefficient imaging, and carrying out overlapping region calculation on the plurality of candidate abnormal regions to obtain a plurality of overlapping regions; carrying out drilling point arrangement and drilling according to the plurality of overlapped areas, and measuring a plurality of drilling trajectories and drilling data corresponding to each drilling point through a trajectory instrument; and according to the plurality of drilling trajectories and the drilling data corresponding to each drilling point, abnormal region prediction data is generated, so that accurate prediction of the abnormal region is realized.

The invention discloses an intelligent grouting pressure adjusting method and system based on deep learning, and relates to the technical field of grouting pressure adjustment. Geological and geophysical prospecting data of a to-be-grouted area before grouting construction are obtained; all parameters of the surrounding environment influence, the active regulation and control pressure pulse and the pressure pulse of the grouting equipment serve as the state S for describing grouting diffusion, all the parameters in the state S are input into a pre-trained grouting pressure influence prediction model, and the corresponding grouting effect is obtained; according to geological and geophysical prospecting data, the needed grouting diffusion threshold value state is calculated, all parameters in the state S, the corresponding grouting effect and the grouting diffusion threshold value state are input into a pre-trained grouting pressure regulation and control model, and the model takes the grouting diffusion threshold value state as the target of the grouting effect and outputs grouting pressure regulation operation; and according to the actual grouting condition and the real-time feedback of the actual grouting parameters, the grouting pressure regulation and control model is updated, so that the grouting pressure is regulated, and the grouting pressure is automatically and accurately regulated.

The invention belongs to the technical field of geophysical exploration in an extremely complex tunnel environment, and provides an air-ground and hole-tunnel multi-angle combined tunnel unfavorable geology advanced detection system and method.A first main control unit is used for establishing a unified time reference and controlling an air-ground capacitive induced polarization detection unit to collect air-ground electric field data under the unified time reference; the second main control unit is used for controlling the hole-tunnel induced electric field and natural electric field combined detection unit to collect underground induced polarization response signals and continuous natural electric field signals and controlling the tunnel seismic electric field detection unit to collect seismic electric field signals and seismic wave signals; and the second main control unit is used for receiving the air-ground electric field data sent by the first main control unit, uniformly integrating the air-ground electric field data with an underground induced polarization response signal, a continuous natural electric field signal, a seismic electric field signal and a seismic wave signal which are acquired by the second main control unit to obtain a multi-field data set, and performing interpretation and inversion to obtain a potential unfavorable geologic body identification result. And the disaster source detection precision and efficiency in the extremely complex tunnel environment are obviously improved.

The invention relates to the technical field of tunnel engineering and engineering geophysical prospecting, and discloses a seismic wave continuous detection method and system for a double-line TBM construction tunnel, and the method comprises the steps: laying an observation system, and carrying out the data collection through employing a fixed receiving and transmitting distance; data continuous acquisition: performing data acquisition during heading of a previous tunnel, performing continuous data acquisition along with heading of a cutterhead, and continuously acquiring multi-source multi-wave-field data not lower than a set group number in a single test; refracted wave data are processed, and the continuous speed profile of the to-be-excavated area of the following tunnel is obtained according to the obtained speed distribution information; interpreting refracted wave data, and realizing geological interpretation of geophysical prospecting data according to the obtained continuous transverse velocity profile of the to-be-excavated area of the following tunnel in combination with geological information and structural distribution of the excavated hole body section of the preceding tunnel; and seismic multi-wave-field multi-view-field comprehensive detection is carried out to obtain the unfavorable geological distribution condition vertical to the line direction. According to the invention, multi-wave-field, multi-mode and multi-view comprehensive detection of the seismic wave method can be realized.

The invention discloses an underground target imaging method and imaging system based on variable scale deep learning, and belongs to the technical field of geophysical exploration, and the method comprises the following steps: S1, building a multi-scale magnetic survey data set; s2, constructing a UNet + +-based variable-scale deep learning network model, and performing feature fusion on pooled information and information subjected to split convolution by a dynamic information fusion layer so as to adapt to input data of any size and make up for information loss caused by pooling; s3, designing a multi-constraint loss function formed by mean square error and loss weighting; s4, migration learning is adopted, model parameters trained in a fixed size serve as initial weights, progressive training of multi-size data is achieved by freezing and fine tuning of decoder parameters, and finally the effectiveness of the whole network model is verified according to a test set prediction effect, so that the universality and flexibility of the network are improved when data of different sizes are processed, and the network performance is improved. And large-size data features in a specific area can be quickly adapted.

The invention discloses a multi-metal mineral exploration method and system, and relates to the field of multi-metal mineral exploration, and the system comprises a data acquisition module, a structure analysis module, a geophysical exploration module and a mineral evaluation module. Comprising the following steps: collecting wrinkle information, fault information and geophysical prospecting information, carrying out wrinkle state and fault state analysis on the wrinkle information and the fault information to obtain a structural shape prospecting value of each region, comparing the structural shape prospecting value of each region with a set comparison threshold to obtain a judgment signal of each region, receiving a geophysical prospecting signal, and carrying out geophysical prospecting. And performing gravity anomaly, magnetic anomaly and electrical difference analysis on the high-possibility mineral product existence area to obtain a physical exploration shape value of each geophysical exploration area, and performing comparative analysis on the physical exploration shape value and a set reference standard interval to obtain a set of mineral product areas of different grades corresponding to different geophysical exploration areas, so that the multi-metal mineral product areas can be graded according to mineral product reserves. And a basis is provided for making multi-metal mineral exploration and mine development design.

The invention discloses a geological disaster risk assessment method and system based on a slope unit, and belongs to the technical field of geological disaster risk assessment, and the method comprises the steps: 1, collecting geological disaster formation conditions, 2, carrying out the geological disaster risk recognition and monitoring of the slope unit, 3, carrying out ground investigation, and 4, carrying out geological disaster risk assessment. The method comprises the following steps of (1) carrying out slope units, (2) carrying out slope units, (3) carrying out slope units, (4) carrying out geophysical prospecting and drilling work, (5) carrying out mountain engineering and engineering geological profile measurement, (6) carrying out tests and experiments on slip mass soil, slip zone soil, dangerous rocks, collapse, mother rocks and bases, and (7) evaluating the geological disaster risk of the slope units. The advantages of the multi-factor coupling effect are fully considered, and the problems that the reliability of the assessment result is affected due to the fact that an assessment model of an existing geological disaster risk assessment method and system based on the slope unit is imperfect, and the assessment result is not comprehensive and accurate due to the fact that the multi-factor coupling effect is not fully considered are solved.

The invention relates to the technical field of resistivity method geophysical prospecting detection, and discloses a soil reinforcement effect detection device and method based on electrical resistance tomography. The technical problems that in the prior art, an electrode device is difficult to cover the whole pile body, so that an imaging result has certain limitation, and the electrode device is difficult to adapt to pile bodies of different sizes and shapes are solved. The device comprises a rotary spray irrigation pile, a high-pressure slurry pump and an air compressor, the rotary spray irrigation pile comprises a pipe wall and a grouting pipe, a plurality of electrodes are arranged on the outer side of the pipe wall at intervals, an electrode line channel is arranged on the inner side of the pipe wall, and the electrodes are connected through a wire penetrating through the electrode line channel to form an electrode measurement network. The device has the advantages that the reinforcing process of the rotary spray irrigation pile is monitored in real time, and the physical characteristics of foundation soil or a reinforcing body are accurately analyzed.

The invention provides a loose water-containing sand layer grouting modification effect inspection method, system, medium and equipment, and belongs to the technical field of coal mine roof water and sand inrush disaster prevention and control. Position point data of treatment holes distributed in a point shape are converted into spatial continuous planar data through spatial interpolation processing, a suspicious target area is rapidly grouted according to a permeability rate partition map, and then a treatment weak area is determined by adopting a ground drilling-geophysical prospecting combined method. And comprehensively judging the treatment weak area by using an underground drilling-geophysical prospecting combined method, and finally obtaining the inspection result of the grouting treatment effect of the loose water-containing sand layer. By introducing a permeability rate partition map as an objective basis for delimiting a grouting suspicious target area, subjectivity and uncertainty of inspection area selection in a traditional technology are avoided, and a treatment weak area is rapidly positioned according to the flow of delimiting the grouting suspicious target area-ground drilling-geophysical prospecting combined verification-treatment weak area underground drilling-geophysical prospecting combined verification. The blindness in the conventional grouting effect checking and verifying engineering design is avoided.

The invention relates to a geological forecasting technology, discloses a tunnel advanced geological forecasting method based on multi-geophysical prospecting joint inversion and multi-source data fusion, and solves the problems of poor efficiency and reliability caused by lack of effective constraints of an initial inversion model during joint detection of existing multiple geophysical prospecting methods. And the judgment accuracy is influenced by the failure of deep fusion of multi-source geological data. The method comprises the following steps of: detecting geological conditions in front of a tunnel face by adopting advanced horizontal drilling and advanced geophysical prospecting to obtain an advanced horizontal drilling detection result and original data of each geophysical prospecting method; the method comprises the following steps of: establishing an initial model by taking a prior mean constraint and a structure constraint as means and utilizing an advanced horizontal drilling detection result, and carrying out echelon joint inversion of a multi-geophysical prospecting method by taking high-precision information as a prior condition of low-precision information and taking structural plane information as a prior condition of resistivity information inversion; carrying out dimension reduction fusion and cross correction on the inversion result of each parameter; and finally, identifying geological information in front of the tunnel face by explaining the meaning of the parameter data and imaging.

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 discloses a geologic model automatic modeling and precision dynamic correction method and system. The method comprises the steps that three-dimensional modeling is conducted through existing geological data, and a geological model comprising a roadway sub-model, a coal seam sub-model, a working face sub-model, a fault sub-model and a water accumulation area sub-model is generated; correcting a roadway sub-model of the geologic model through the obtained coal exploration point data; correcting a coal seam sub-model and a working surface sub-model of the geologic model according to the acquired coal detection point data and drilling data; correcting a fault sub-model of the geologic model through the obtained drilling data; correcting the ponding area sub-model of the geologic model through the acquired hydrological drilling data and hydrological monitoring data; and correcting each sub-model of the geologic model until a refined geologic model is obtained. According to the method, the precision of the geologic model is dynamically corrected through exploration, geophysical exploration and other detection data, so that the modeling accuracy and flexibility of the geologic model are improved.

The invention relates to the technical field of geophysical exploration, in particular to a multi-scale three-dimensional gravitational-seismic joint frequency domain inversion method based on hybrid constraints. The method comprises the following steps: determining observation gravity anomaly on the ground by adopting discrete Fourier transform, and discretizing the observation gravity anomaly by adopting a method of weighted average of values at a plurality of Gaussian points; calculating spherical harmonics and spherical harmonic coefficients of two-dimensional density distribution of each layer in the inversion range, and calculating gravity anomalies on the observation surface based on the spherical harmonics and the spherical harmonic coefficients; converting the inversion range data into a three-dimensional gravitational field forward kernel matrix; constructing a three-dimensional gravitational field hybrid constraint inversion objective function; inputting pre-collected earthquake three-dimensional velocity model data, and converting the earthquake three-dimensional velocity model data into a reference density model; and calculating a gradient operator in the inversion objective function, simplifying the inversion objective function based on the gradient operator obtained through calculation, and then solving the simplified inversion objective function by using an alternating direction multiplier method.

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.