1519 results about "Assise" patented technology

A stability assessment method of roadway surrounding rock includes: obtaining actual stratum rock parameters; establishing a two-dimensional geological model through numerical simulation based on a drill core columnar diagram and the actual stratum rock parameters; changing influencing factors, and recording amounts and acceleration values of deformation of roadway sidewalls, and whether failure occurs to obtain dynamic response characteristics of roadway surrounding rock, combining the changed influencing factors and the dynamic response characteristics as labels to obtain a dataset, and obtaining multiple datasets including the dataset; dividing the multiple datasets into a training set and a validation set, inputting the training set into a PSO-BP neural network and a GA-SVM deep learning model to obtain a preliminary stability assessment model, and adjusting and validating the preliminary stability assessment model by the validation set to obtain an optimized stability assessment model; and using the optimized stability assessment model to assess roadway stability.

The invention discloses a multi-source collaborative advanced geological exploration method based on TBM construction, and belongs to the technical field of tunnel engineering geological exploration. A three-dimensional geological model is constructed through multi-scale collaborative operation of directional long exploration drilling, branch short exploration drilling and in-hole transient electromagnetic detection; the directional long exploration adopts a secondary drilling structure and a screw motor directional drilling technology to realize accurate control of a deep stratum, the branch short exploration realizes dynamic and rapid verification through a TBM integrated drilling machine, meanwhile, in-hole transient electromagnetic exploration adopts three-component measurement and an intelligent inversion algorithm to fill the blank of geological information between drill holes, and by means of mutual data correction of the three methods, the detection accuracy is improved. A three-in-one detection system of drilling, geophysical prospecting and intelligent analysis is formed, and then accurate advanced prediction is achieved, so that the problems that a traditional single detection technology is low in precision and insufficient in coverage range are effectively solved, the water inrush risk is remarkably reduced, construction safety is guaranteed, and the method is effectively suitable for deep tunnel TBM safety construction.

A well location and well trajectory determination method, comprising: on the basis of a stratum pressure test, and a flow phase constraint of each stratum, establishing a full-stratum-series three-dimensional rock mechanical parameter field model, so as to obtain full-stratum-series rock mechanical parameters; on the basis of a geological structure, and a stratum pressure field of each stratum, establishing a three-dimensional full-stratum-series stress field prediction model, so as to acquire full-stratum-series three-dimensional stress field parameters; on the basis of the full-stratum-series rock mechanical parameters, the full-stratum-series three-dimensional stress field parameters and a three-dimensional natural fracture model, establishing a natural fracture activity prediction model, so as to evaluate fracture activity; and determining a well location and a well trajectory on the basis of a three-dimensional original field geostress model, a three-dimensional fracturability prediction model, the fracture activity and a three-dimensional collapse pressure prediction model. By means of the method, the effects of drilling speed increases and modification and production increases can be achieved in complex oil and gas field blocks. Further provided are a drilling speed increase method, a modification and production increase method, a well location and well trajectory determination apparatus, an electronic device, and a computer-readable storage medium.

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 a discrete element-based three-dimensional fault / fracture network modeling method and device under a backlash pushing and covering system, and relates to the technical field of three-dimensional fault modeling, and the method comprises the steps: building an initialized fault plane model based on the seismic logging information parameters of a target region; extracting stratum parameters of the target area, and determining a deformation process in combination with an equilibrium profile recovery method; the method comprises the following steps: calibrating mesoscopic parameters of discrete elements according to stratum parameters, depositing a first discrete element model, optimizing and generating a second discrete element model, setting boundary conditions to carry out back-flushing pushing-covering simulation, comparing an output result of the second discrete element model with an actual geological section, adjusting model parameters until the output result and the actual geological section are matched, and establishing a three-dimensional fault and fracture network. And analyzing and establishing spatial distribution characteristics of the target area, and carrying out dynamic evaluation and trend prediction on the activity of the three-dimensional fault. According to the method, the geomechanical model is fused, the subjectivity of manual interpretation is overcome, and the problems of fault tip extension and the like in grid reconstruction are effectively avoided.

The invention discloses a method for predicting shield tunneling parameters under a composite stratum, which comprises the following steps of: collecting and sorting shield tunneling historical data under the composite stratum, including geological parameters and construction parameters, and performing abnormal value elimination, missing value filling and data standardization; the geological parameters and the geometric parameters are combined according to the tunneling ring number, and a quantitative geological matrix of each ring is generated; the geometric parameters represent the position of the soil layer relative to the tunnel excavation face by adopting 1-5 codes, and input dimension unification is ensured through zero filling alignment; a CNN-Attention-SVR model is constructed, and the CNN-Attention-SVR model is trained; new geological data are input into the trained model, tunneling parameters are predicted, and construction adjustment is guided; reliable technical support and decision basis are provided for tunnel construction under the composite stratum condition, and therefore the overall safety and economical efficiency of shield construction are improved.

The invention relates to the technical field of geological exploration, and discloses a water-rich sandy stratum tunnel base settlement prediction method and system, and the method comprises the steps: constructing a multi-source cooperative exploration system; deploying a sanding-seepage-stress coupling model at an edge computing node, and mining the relevance of data of different dimensions through a space-time attention fusion network; based on the prediction matrix and mineral exploitation working condition parameters; when the predicted settlement exceeds a safety threshold value or the sanding expansion rate is abnormal, a high-precision remeasurement mechanism is triggered, and a cross-hole radar and acoustic logging combined verification module is activated; and iteratively optimizing coupling model parameters by adopting a transfer learning algorithm through deviation analysis of measured data and a prediction result. According to the method, a scientific basis is provided for stratum stability evaluation and prevention and control measure formulation in the mineral exploitation process, and the probability of engineering risks caused by base settlement of the water-rich sandy stratum is effectively reduced.

The invention discloses a soil-rock composite stratum geologic feature evaluation method based on multi-source data fusion, and belongs to the technical field of geotechnical engineering data processing, and the method comprises the steps: obtaining a multi-source data set of a soil-rock composite stratum, carrying out the time-space alignment and denoising processing, and generating a preprocessed multi-source data set; based on the preprocessed multi-source data set, rock-soil layered structure feature extraction is carried out, and an initial rock-soil feature parameter set is generated; according to sensor feedback data collected in real time in the construction process, incremental correction is conducted on the initial rock-soil characteristic parameter set, and a dynamically updated rock-soil characteristic parameter set is generated; and based on the dynamically updated geotechnical characteristic parameter set, outputting a geologic characteristic evaluation report through a preset engineering evaluation standard library. According to the method, space-time alignment of multi-source data, dynamic fusion of a physical model and deep learning and a real-time feedback increment correction technology are adopted, the geologic feature modeling precision and dynamic adaptability can be improved, and accurate decision support is provided for complex stratum construction.

The invention provides a shield tunneling machine real-time data monitoring and operation efficiency improving method and system, and relates to the field of industrial equipment intelligent monitoring and optimal control. Multifunctional sensor modules are arranged on a cutter head system, a propelling system, a soil bin system and a shield tail system of a shield tunneling machine to collect operation parameters; and the local data processing unit is used for filtering and checking the data, so that the accuracy and reliability of the data are ensured. Based on a geological survey report, geological conditions are divided into multiple stratums, differential monitoring parameter combinations for different stratums are constructed, and dynamic monitoring and adjustment are achieved. And a tunneling speed optimization model based on the stratum discrimination function is further established, and the optimal tunneling speed is calculated in real time according to the dynamic change of the stratum characteristics, so that the tunneling efficiency of the shield tunneling machine is remarkably improved, the construction uncertainty is reduced, and the construction safety is improved.

Systems and methods for characterizing a subterranean formation that include a drill bit for drilling a deviated wellbore through the formation and that repeatedly changes direction. Also included is a directional drilling system and measurement equipment to detect a property of the formation. A trajectory control system is operable to: receive a well log; determine a property of the wellbore; segment the well log based on the property; and correlate one of the segments with the well log previous to the segment to determine a matching score for the segment. If the matching score is equal to or greater than a minimum threshold, the segment was taken in the formation and at the same stratigraphical true vertical depth (“STVD”). If the matching score is less than the minimum threshold, the segment was not taken in the formation and not at the same STVD and the STVD is estimated.

The invention discloses a shield construction earthwork volume prediction method based on Kriging interpolation and a classification regression tree, and relates to the field of shield construction earthwork volume prediction. According to the method, construction parameters, geological parameters and environmental parameters are collected in real time, and a variation function and a multi-scale interpolation fusion strategy are dynamically adjusted, so that the prediction precision problem of traditional Kriging interpolation in a local geological change region is solved; meanwhile, the stratigraphic interpolation result is dynamically corrected through a Bayesian updating method, and the accuracy of space prediction is improved; besides, a dynamic weight adjustment strategy is adopted, a Bayesian fusion model is combined, prediction model weights in different stages can be adjusted according to error feedback in the construction process, and therefore more accurate earthwork volume prediction is achieved.

The invention belongs to the technical field of gas storages, and particularly relates to an experimental method and device for evaluating fault stability under injection-production alternating stress of a gas storage. The method comprises the following steps: acquiring reservoir information of a to-be-detected gas storage; making a three-dimensional model according to the reservoir information, and configuring model parameters according to formation water and natural gas initially injected into the three-dimensional model; an injection-production pipe is inserted into the three-dimensional model, the multi-cycle gas injection-production process is simulated, and fault changes in the three-dimensional model are monitored; and optimizing model parameters of the three-dimensional model according to the fault change condition, and determining optimal model parameters. A fault with any dip angle can be simulated, the experimental model comprises a whole geologic body simulating a gas storage, surrounding rocks including a cover layer and a bottom supporting layer and wrapping the periphery of a reservoir body, the reservoir is disconnected by the fault, the contact relation of the two reservoirs can be designed according to the actual condition of the stratum, and an injection-production well is designed in the model. The injection-production well simulates high-speed injection-production of the gas storage.

The invention relates to the technical field of geotechnical engineering construction, in particular to a valley accumulation body curtain grouting construction control method based on SVM and PID, which comprises the following steps: obtaining construction data including stratum permeability coefficient, grouting pressure, slurry consistency, grouting flow and slurry diffusion range; constructing a three-dimensional geologic model of the canyon accumulation body, associating the parameters with corresponding positions in the model, generating a construction feature vector with geological attributes, inputting the construction feature vector into a pre-trained SVM model so as to predict a geological response trend, correcting control parameters of a PID control model according to the geological response trend, and then dynamically regulating and controlling operation parameters of grouting equipment, so as to achieve the purpose of predicting the geological response trend. PID control parameters and grouting key parameters are continuously optimized. Therefore, the problems that in the prior art, self-adaptive control over complex and changeable geological conditions is difficult to achieve, grouting parameter setting is not accurate, and construction quality is not stable are solved.

The invention relates to the technical field of underground cavern construction, and discloses a layered rock mass cavern excavation parameter dynamic optimization decision system and method, and the system comprises a rock stratum database building module, an excavation simulation module and an excavation model optimization module. The method comprises the following steps: collecting basic data such as engineering geological conditions, rock mechanical properties and ground stress distribution; establishing an initial rock stratum parameter database through a three-dimensional ground stress test and rock mass permeability characteristic analysis; establishing a stratified rock mass excavation simulation model, simulating a failure mode of a stratified rock stratum under excavation disturbance, and analyzing stress redistribution and a potential failure area; determining a cavern axis direction, an excavation sequence and support parameters according to a simulation result; acquiring surrounding rock deformation, loosening circle expansion and seepage characteristic change; and utilizing a damage proximity index to predict the distribution of the loose circles, and optimizing the stratified rock mass excavation simulation model. The method can adapt to various complex working conditions from a sand shale interbed to an ultra-deep fractured stratum and the like.

The invention discloses a three-dimensional geologic model modeling method and device. The three-dimensional geological model modeling method comprises the following steps: acquiring to-be-established geological region data and actual geological boundary data; generating an initial stratum interface grid according to the to-be-established geological region data; correcting the initial stratigraphic interface grid to obtain a corrected stratigraphic interface grid; carrying out geological rule constraint on the corrected stratigraphic interface grid so as to form simple three-dimensional stratigraphic interface model data; correcting the simple three-dimensional stratigraphic interface model data according to the seismic profile information so as to obtain a composite geologic structure model; generating a three-dimensional fault plane model according to the composite geologic structure model; and generating a composite geological structure model including a fault network according to the three-dimensional fault plane model and the composite geological structure model. Through the three-dimensional geological model modeling method, the deviation between the model and an actual geological boundary can be remarkably reduced.

The invention belongs to the technical field of mineral exploration, and particularly discloses a copper ore prospecting method based on three-dimensional geological modeling. The method comprises the following steps: acquiring geological data of a target area; after extreme values in the geological data are recognized and removed through a box plot, the geological data are mapped to an interval of [0, 1], and the geological data are divided into terrain data, stratum data and mineral resource data; adopting Kalman filtering to enable the data to form fusion data, and generating a thematic map comprising a geological map, a mineralization anomaly map and a topographic slope map; based on the data and the thematic map, constructing a three-dimensional geologic model by a finite element method, and performing mining path planning by adopting a specific path planning algorithm formula; exploring by the mining equipment according to the planned path, acquiring geological data, comparing the geological data with the predicted data, re-planning the path and continuing exploring if the path is blocked, the resource recovery is out of tolerance and new mineralization is abnormal, otherwise continuing exploring according to the planned path. The method has the advantages of being high in exploration efficiency and data precision, low in comprehensive cost and high in adaptability.

The embodiment of the invention discloses a mineral resource exploration data analysis method and device based on three-dimensional space modeling. The method comprises the steps that back-flushing pushing-covering structure feature information is extracted through structure interface occurrence measurement, lithology combination analysis and structure movement trace recognition and converted into geologic structure feature parameters; stratigraphic age data and lithology distribution information are integrated, and a three-dimensional stratigraphic model is constructed with a stratigraphic superposition relation as a constraint; geophysical data are imported to extract geophysical response characteristics of stratums with different depths, and lithologic boundary correction is combined to obtain deep fracture characteristic parameters; sedimentary system division is carried out on lithofacies paleogeographic information, and deep fracture characteristic parameters are fused to establish a fracture system three-dimensional model; the multi-feature association relationship is identified, the ore body prediction model is established, the spatial data is input to obtain the three-dimensional visual prediction result of the hidden ore body spatial distribution, and the exploration efficiency and accuracy in the deep phosphorite exploration process are improved.

The invention discloses a low-exploration-degree helium favorable area optimization evaluation method based on unit partition, and belongs to the technical field of helium exploration and evaluation. The method comprises the following steps: firstly, systematic carding and analysis are performed on comprehensive geological data of a research area, and helium reservoir forming conditions of the research area are preliminarily evaluated; then determining a potential target stratum where helium exists, and judging the source of helium; then, the main enrichment type of helium in the research area is determined, and a specific helium resource evaluation unit is reasonably divided according to the main enrichment type; on the basis, the helium resource quantity in the unit range is calculated, so that the helium storage potential and the exploitation value of the region are scientifically evaluated. And finally, comprehensively applying qualitative and quantitative evaluation methods, determining the range of the helium favorable area, and determining the resource quantity of the helium favorable area in the area. The method provided by the invention provides powerful technical support for helium resource exploration and development in a low-exploration-degree region.

The invention provides a sandy stratum tunnel water burst risk prediction method. The method comprises the steps that a radar instantaneous energy spectrum in front of tunneling is obtained through a geological radar, a micro-seismic spectrum is obtained through a micro-seismic array, and a residual distance is obtained through laser ranging; aligning and coupling the two spectrums to obtain a water inrush risk index, inputting the water inrush risk index and the residual distance into a self-adaptive threshold comparator, and if the water inrush risk index and the residual distance exceed the limit, dynamically adjusting the rotating speed of a cutter head, propulsive force, the rotating speed of a screw conveyor and grouting pressure, and generating a risk avoidance path; and calling a water inrush risk model library constructed by LSTM-Attention, inputting a risk index sequence, a residual distance, cutterhead torque, a soil pressure gradient, a current change rate and other auxiliary variables, and outputting a future multi-step risk level. According to the method, accurate prediction and real-time avoidance of the water gushing risk of the sandy stratum tunnel can be realized, and the safety and efficiency of tunnel construction are improved.

The invention discloses a refined fourth-century three-dimensional geological modeling integration method which comprises the steps that basic geological data and drilling data of a research area are acquired, and the basic geological data comprise bedrock geological data and fourth-century geological data; the drilling data is modeled by a triangulated irregular network, and the basic unit of the triangulated irregular network is GTP; performing standardization processing on the drilling data; carrying out fourth stratigraphic division on the research area according to the basic geological data; dEMs of stratum interfaces are sequentially established from the earth surface to the underground according to the drilling data, sewing processing is conducted on the adjacent DEMs belonging to the same stratum, and a three-dimensional stratum model based on the multiple layers of DEMs is formed; dividing the GTP into TEN, and according to the three-dimensional stratum model based on the multilayer DEM, taking the TEN as a basic voxel, and constructing a fourth-century three-dimensional geologic model based on MD-GTP-TEN; the model constructed by the invention can express the geologic body more accurately and perform spatial analysis more efficiently.

The invention provides a new method for calculating the borehole wall collapse pressure of a fractured shale stratum, which comprises the following steps of: 1, preparing an experimental rock sample, and carrying out sound wave characteristic test on bed rock and a fractured rock sample and mechanical experiment test on the rock sample; step 2, calculating an integrity coefficient K upsilon, a geological strength index GSI, a rock mass disturbance coefficient D and a lithology index mi of the rock; 3, a Hoek-Brown strength criterion for evaluating the fractured formation based on sound waves is established; 4, a principal stress expression of the well walls of the inclined well and the horizontal well is obtained through calculation; and 5, establishing a fractured oil shale formation borehole wall collapse pressure calculation model. According to the new method for calculating the well wall collapse pressure of the fractured shale formation, the problem that a conventional homogeneous formation collapse pressure calculation model is not suitable for well wall stability prediction of the fractured shale formation is solved, and a new theoretical basis and technical support are provided for the well wall stability problem in the oil shale exploitation process.

The invention relates to the technical field of geotechnical engineering disaster monitoring and early warning, and discloses a stratum rainfall seepage deformation coupling numerical simulation method and system and a storage medium, and the method comprises the steps: building a three-dimensional geologic model reflecting soft and hard rock interbed characteristics; converting the on-site rainfall data into hydraulic boundary conditions in real time; calculating a rock mass shear expansion volume change rate, determining a chemical damage acceleration factor, and updating a total damage variable; reconstructing a permeation tensor representing the dominant flow channel according to the space gradient of the damage variable; solving a fluid-solid coupling equation based on the permeability tensor, obtaining pore water pressure and calculating a displacement field; building a likelihood function by using field monitoring data to perform inversion correction on model parameters; and evaluating the stability based on the corrected calculation result and outputting an early warning signal. By constructing a mechanical coupling mechanism and a dominant flow channel model, precise simulation of a landslide evolution process in a complex geological environment is realized.

According to the intelligent control method and system for the double-wheel milling and deep stirring equipment, geological data of a construction area are obtained through preset stratum detection equipment, geological data corresponding to a construction groove section are determined, and the tunneling speed is intelligently adjusted in combination with the milling wheel torque monitored in real time and the current tunneling depth. According to the method, speed adjustment is carried out according to milling wheel torque data, tunneling depth and stratum geological data, meanwhile, associated data of the tunneling depth and the speed are generated, and finally cement paste is injected into a groove section when equipment is lifted. According to the intelligent control method, construction parameters can be adaptively adjusted according to different geological conditions, the milling efficiency and precision are effectively improved, equipment abrasion is reduced, and the service life of equipment is prolonged. Through the combination of real-time data monitoring and intelligent parameter adjustment, the method realizes the accurate control and optimization of the construction process of the milling and deep stirring equipment, and provides more efficient and reliable technical support for the construction of the cement-soil continuous wall.

A method can include rendering a graphical user interface to a display; receiving data; responsive to determining boundary locations for formations in the subsurface environment using the data, automatically rendering the boundary locations in the graphical user interface; responsive to determining extended boundary locations in the subsurface environment for a region beyond an end of the borehole using the boundary locations, automatically rendering the extended boundary locations in the graphical user interface; responsive to determining a target location in the region using the extended boundary locations, automatically rendering the target location in the graphical user interface; and, responsive to generation of a trajectory from an end of the borehole location to the target location, automatically rendering the trajectory in the graphical user interface.

The invention is suitable for the technical field of rock grouting reinforcement, and relates to a visual crossed fracture flowing water grouting test device and method. A transparent soil material with soil force properties and hydraulic properties similar to those of natural soil such as an internal friction angle, a deformation characteristic and a flow boundary effect is adopted; the water flow and slurry flowing state in an actual stratum can be truly simulated, and the accuracy of a test result is remarkably improved; by means of the layered water injection design of the soil filling box, comprehensive observation of the grouting behavior rule of cross fractures in stratums in different water saturation states is achieved, and the influence of complex hydrological conditions on the grouting effect is effectively reproduced; and a tracer agent with observation advantages is introduced in the grouting process, so that the visual observation capability on the slurry diffusion path, the slurry diffusion range and the flow velocity change is greatly enhanced. According to the method, the diffusion path, the expansion range and the grouting effect of the grout in a deep crack and a large model can be visually observed, the grouting effect is greatly improved, and a scientific basis is provided for optimizing the grouting process and predicting the grouting effect.

The invention provides a grouting geology grading and construction parameter setting method based on rock mass permeability, and relates to the technical field of foundation engineering grouting construction.The method comprises the steps that the water permeability rate, fracture parameters (the number of independent unfilled fractures, the opening degree and the filling condition), ground stress and grout rheology data of a target hole section are obtained; calculating a grouted stratum grouting index (SGI) through the water permeability rate, the fracture number, the maximum equivalent fracture opening degree and the correction coefficient; the rock splitting strength is estimated in combination with the drilling condition; whether grouting is conducted or not is judged based on the SGI value, and the grouting starting water cement ratio, the grout changing strategy, the initial pressure and the pressure increasing strategy are dynamically adjusted; the grouting pressure is designed according to the stratum splitting strength, and the grouting termination condition is set in combination with the real-time flow-pressure data. Grouting parameters are optimized through quantitative grading and real-time data, experience dependence is reduced, the construction precision and efficiency are improved, the stratum adaptability is enhanced, and the engineering quality and the material utilization rate are ensured.

The invention discloses a mine microseismic event self-positioning method and a mine microseismic event self-positioning system without a prior velocity structure, which realize integration of underground velocity structure inversion and seismic source positioning by jointly utilizing microseismic signals and surface wave interference noise generated in a mining process. Comprising the following steps: arranging an earth surface detector array to collect micro-motion and micro-seismic mixed signals; extracting a surface wave dispersion curve to invert a stratum S-wave velocity model, and further constructing a P-wave velocity model when the stratum Poisson's ratio in the geological data is known; carrying out seismic phase pickup after carrying out noise reduction on the microseismic signal, and obtaining first arrival time of a P wave and an S wave; and constructing a target function taking the first arrival time, the seismic source position, the seismic moment and the velocity model as parameters, and optimizing the target function to realize accurate positioning. According to the method, early-stage field acoustic logging construction of a mine is avoided, surface wave interference noise is fully utilized, the utilization rate of monitoring data is improved, and mine microseism event positioning without a prior speed structure is achieved.

The invention belongs to the technical field of geological engineering monitoring and multi-physics field intelligent sensing, and discloses a separation grouting slurry migration monitoring method and system, and the method comprises the steps: constructing an acoustics-optics-electricity-electromagnetism multi-physics field coupling monitoring system; a grouting hole and a monitoring drilling hole array are arranged in a target stratum, a distributed optical fiber sensor, a drilling hole ultrasonic imager, a resistivity measuring device and a transient electromagnetic detection device are installed, and a three-dimensional monitoring network is formed; synchronously acquiring sound field, light field, electric field and magnetic field data; four-field monitoring data and overlying strata multi-parameter observation data are fused, a coal seam mining three-dimensional overlying strata separation model is constructed, and a slurry diffusion three-dimensional visualization model is generated through numerical simulation; and based on the four-field monitoring response difference of the separation space before and after grouting, in combination with a monitoring frequency domain correction model of multiple indexes of grout diffusion, the diffusion range, compactness and filling effect of the grouting grout are evaluated, and abnormal early warning is triggered.

The invention relates to a deep stratum well hole and cave mining system and method, the system comprises a traffic well hole system, the traffic well hole system is provided with at least one well hole smaller than 1 m, an internal channel formed by the well hole is communicated with a cave formed by excavation, and the internal channel formed by the well hole is configured to be a flow-back channel and / or an injection channel; the well hole and cave mining device is provided with a crushing assembly and / or a cleaning and transporting assembly, the crushing assembly is used for carrying out form-controllable mining on the ore on the cave rock wall surface, and the cleaning and transporting assembly is used for cleaning ore particles in the cave or transporting the ore particles to the flowback channel; and the particle flow lifting system is used for lifting the extracted ore particles out of the well through the flow-back channel. The technical problems that when caves of deep stratums are mined, the supporting effect is poor, and the ore particle clearing and transporting efficiency is low are solved, and large-scale and high-efficiency mining operation can be conducted on the deep stratums or non-hard stratums.

The invention relates to the technical field of logging while drilling, and particularly provides a logging while drilling electromagnetic wave resistivity logging inversion method. The method comprises the following steps: constructing an XGBoost feature screening module, and optimizing a data set through the XGBoost feature screening module to obtain an optimized data set; according to the method, a BiLSTM-Transformer model is constructed, an optimized data set is input into the model, an inversion result is obtained, the inversion precision and the calculation efficiency are improved, and inversion of the target stratum resistivity, the adjacent layer surrounding rock resistivity and the boundary distance under the anisotropic stratum model is achieved.