27 results about "Rock breakage" patented technology

The invention relates to the technical field of rock mechanical tests and safety monitoring, and discloses a rock fracture prediction method based on acoustic emission and surface strain cooperative monitoring, and the method comprises the steps: building a monitoring system comprising acoustic emission and an industrial camera array, and building a unified timestamp of each subsystem through a GPS time service module; through load triggering logic, a synchronous trigger is utilized to synchronously acquire an acoustic emission signal and a sample surface image sequence, and evolution characteristics of three-dimensional coordinates of an acoustic emission source and surface full-field strain data are solved. And on the basis, calculating a main strain field variation coefficient, and performing cross-correlation analysis on the resampled energy rate and strain rate. And finally, according to multi-parameter coupling criteria of acoustic emission time sequence parameters, positioning events and surface strain, identifying rock fracture precursor types, and predicting fracture moments and areas by combining a Voight model inverse velocity method and a seismic source projection technology.

The invention relates to the technical field of underground geotechnical engineering and tunnel construction monitoring, in particular to a shield tunneling rock stratum real-time judgment method. The method comprises the steps that according to signals of neutron radiation characteristics released when different lithologic samples are fractured under a shield tunneling stress path simulated in a laboratory, a knowledge base of the neutron radiation characteristics of a rock stratum is constructed; deploying an on-site multi-source data acquisition system, and acquiring data of neutron radiation characteristics and shield tunneling parameters; jointly forming a fusion feature vector according to the data of the neutron radiation features and the shield tunneling parameters; the method has the advantages that signals of neutron radiation characteristics released in the rock fracture process are directly monitored, the signals are fused with shield tunneling parameters in a multi-source mode, a machine learning model is combined, and the lithology classification probability and the rock mass integrity index are obtained. Real-time and accurate discrimination of lithology and integrity of a front rock stratum is realized, physical characteristics of a rock mass are reflected, and a discrimination effect is continuously optimized.

This disclosure relates to a rock thermal shock experimental apparatus, experimental method, and rock fracture evaluation method. The rock thermal shock experimental apparatus includes a true triaxial system, a liquid supply system, and a temperature measurement system. The true triaxial system is used for triaxial confining pressure loading and heating of the rock sample. Thermal shock boreholes and temperature measurement boreholes are drilled on the rock sample. The liquid supply system includes an inlet pipeline for injecting liquid into the thermal shock boreholes and a supply pump connected to the inlet pipeline, as well as an outlet pipeline for discharging the liquid. The temperature measurement system includes multiple temperature measuring devices, with temperature measuring devices arranged at least inside the thermal shock boreholes and inside the temperature measurement boreholes. The rock thermal shock experimental apparatus of this disclosure can realistically simulate the impact of underground fluids on rocks, achieving the thermal shock effect by creating an effective temperature difference between the heated rock sample and the injected cold liquid. The rock fracture evaluation method can quantitatively analyze the relationship between temperature and rock fracture under thermal shock.

This invention belongs to the field of petroleum exploration and discloses a quantitative characterization method for structural fracture parameters based on the coupling of the minimum energy consumption and minimum action principle. To overcome the shortcomings of existing technologies in achieving quantitative prediction of structural fractures from qualitative description, this invention first calculates the energy consumption of fracture rupture through rock mechanics experiments; then, it couples the minimum energy consumption principle and the minimum action principle to establish a rock fracture criterion; based on this, it derives and establishes quantitative characterization models for fracture aperture, volumetric density, and linear density; subsequently, it constructs a heterogeneous mechanical parameter volumetric model and performs elastoplastic geostress field simulation; finally, it achieves batch prediction of structural fracture parameters through programming, and verifies the reliability of the prediction results using core, imaging logging, and production dynamic data. This invention, starting from the physical essence of energy distribution and path selection, provides a unified theoretical framework for rock fracture and significantly improves the prediction accuracy of fracture "sweet spots."

This invention discloses a real-time monitoring and early warning system for rock fracture induced by disturbance in deep fluidized bed mining, comprising: a multimodal sensor array for synchronously acquiring acoustic emission / microseismic signals from deep rock masses and key environmental disturbance parameters during fluidized bed mining; a data acquisition and transmission module; an environmental noise modeling and feature characterization module; a context-aware signal separation and enhancement module; and a rock fracture feature extraction and event recognition module. This invention relates to the field of mine safety monitoring technology. This real-time monitoring and early warning system for rock fracture induced by disturbance in deep fluidized bed mining provides rich contextual information through the multimodal sensor array. Combined with environmental noise modeling and a deep learning-based context-aware signal separation and enhancement module, this invention can effectively identify and suppress the complex and dynamic background noise unique to deep fluidized bed mining, ensuring that weak rock fracture signals are no longer drowned out.

The invention belongs to the field of oil exploration, and discloses a quantitative characterization method for tectonic fracture parameters based on minimum energy consumption-minimum action principle coupling. In order to overcome the defect of difficulty in realizing qualitative description to quantitative prediction of a tectonic fracture in the prior art, the method comprises the following steps: firstly, calculating fracture energy consumption through a rock mechanics experiment; coupling a minimum energy consumption principle and a minimum action quantity principle, and establishing a rock fracture criterion; on the basis, a quantitative characterization model of the fracture opening, the volume density and the linear density is deduced and established; then constructing a heterogeneous mechanical parameter body model and carrying out elastic-plastic crustal stress field simulation; and finally, batch prediction of tectonic fracture parameters is realized through programming, and reliability verification is carried out on a prediction result by using rock core, imaging logging and production dynamic data. According to the method, a unified theoretical framework is provided for rock fracture from the physical essence of energy distribution and path selection, and the prediction precision of the crack sweet spot area is remarkably improved.

The application discloses a microseismic rock breaking signal simulation device, which comprises a microseismic signal simulation system and a microseismic monitoring system which are coupled, the microseismic signal simulation system is used to repeatedly generate the same knocking signal, the microseismic signal simulation system comprises PC control software, a knocking circuit control board and a sensor knocking frame, the PC control software is connected with the knocking circuit control board, realizes the issuing of a working instruction, the knocking circuit control board transmits an instruction to the sensor knocking frame, and controls the knocking strength and the knocking frequency of the sensor knocking frame, and the microseismic monitoring system receives the knocking signal generated by the sensor knocking frame and visually displays the same; the application can repeatedly generate the same knocking signal, and can also sequentially generate the signal to simulate the rock breaking signal in an indoor environment for the research and development and maintenance of the microseismic monitoring system.

The invention relates to the technical field of shale gas geology, in particular to a method for depicting a breaking joint body in a breaking joint body development area, and the method comprises the steps: firstly, generating an initial breaking joint body probability body based on interpretable machine learning fusion seismic attributes, and building a three-dimensional space distribution model containing large and medium faults after manual interactive interpretation and well seismic calibration; on the basis, large and medium-sized faults serve as a deterministic skeleton, a fracture development rule is predicted in combination with paleotectonic stress field simulation and a rock fracture criterion, a three-dimensional discrete fracture network model constrained by geomechanics is constructed and then coupled with a matrix model, and a model set is generated by defining an uncertainty parameter space. And screening out an equivalent model group through historical matching, performing prediction verification and iterative optimization by using recent production data, and finally obtaining a three-dimensional space distribution model of the high-precision breaking joint body. According to the method, closed loop of static identification and dynamic verification is realized, and the depicting precision and the geological reliability are remarkably improved.

This invention discloses a double-layer chain coordinated coal conveying control system and method for scraper conveyors, belonging to the technical field of fully mechanized mining face conveyors. The system includes a head chain control system, a tail chain control system, a coal conveying section, and a centralized control system. The coal conveying section includes a primary chain drive system and a secondary chain drive system arranged in parallel. Motors for driving the chain drive systems are installed in the head and tail chain control systems. The control method employs a three-layer deep reinforcement learning strategy. The first layer independently controls the motor speed synchronization and tension; the second layer coordinates the motor speed and tension, and incorporates a fault-clearing function for large coal and rock breakage; the third layer achieves global coordinated control under normal and fault conditions. This invention significantly improves the load capacity, operational reliability, and fault self-healing capability of scraper conveyors.

This invention provides an experimental apparatus and method for hydraulic fracturing and thermo-coupling loading of rock samples, belonging to the field of rock mechanics technology. The invention includes: a frame, an upper base, an upper pressure plate, a lower base, a lower support, a fixed bracket, a rock sample, a loading system, and a hydraulic control system. This invention effectively overcomes the limitations of traditional triaxial experiments, achieving true triaxial non-uniform stress and thermo-coupling loading of cylindrical rock samples. Through 12 confining pressure units and an 8-zone heating system, it can simulate complex underground stress and temperature fields. The positioning structure and limiting system enhance the overall rigidity of the loading cylinder, ensuring uniform stress transmission and stable measurement benchmarks, and improving the signal-to-noise ratio and accuracy of strain data. The heat-conducting frame and sealing airbag ring, combined with multi-stage sealing and pressure relief design, fundamentally guarantee reliability and safety under high temperature and high pressure, providing technical support for in-depth research on rock fracture mechanisms and optimization of fracturing processes.

The invention belongs to the technical field of oil exploration, and discloses a crack propagation path quantitative prediction method based on a double extreme value principle. The method comprises the following steps: obtaining a stress-strain curve and related mechanical parameters through a rock mechanics experiment; constructing a rock fracture criterion based on a double extreme value principle; establishing a quantitative prediction model of the crack propagation angle and length; combining with three-dimensional tectonic stress field simulation to realize spatial prediction of a crack propagation path; and the reliability of the prediction result is verified through measured data. The method disclosed by the invention reveals a crack propagation mechanism from the perspective of energy evolution, has the advantages of solid physical foundation and adaptability to complex geological conditions, remarkably improves the precision of crack length and direction prediction, and provides reliable technical support for evaluation and development optimization of an unconventional reservoir crack system.

The invention discloses an earthquake vulnerability analysis method based on a rock fracture degree, and the method comprises the following steps: building a finite difference numerical calculation model of a deep underground structure, and selecting a series of seismic oscillation records as the input vibration of the finite difference numerical calculation model, based on the finite difference numerical calculation model and input vibration, determining a seismic oscillation intensity factor and a damage performance index suitable for the deep underground structure, dividing the deep underground structure seismic damage level, and based on the seismic oscillation intensity factor and the structure loss performance index, adopting an incremental dynamic analysis method to analyze the deep underground structure seismic damage level. And acquiring an earthquake vulnerability calculation sample set of the deep underground structure, and based on the earthquake vulnerability calculation sample set, analyzing the earthquake vulnerability of the deep underground structure by establishing an earthquake vulnerability function. The deep underground structure seismic vulnerability analysis precision and applicability are high under the complex seismic geological conditions.

This invention discloses a method for extracting physical constraint features from microseismic data. First, abnormal samples are removed from the microseismic data, and a correspondence between energy thresholds and rockburst hazard levels is established. Second, differentiated stratigraphic weights are assigned based on the vertical distance between microseismic events and the roof interface, highlighting the importance of near-field events on the roof. Then, an adaptive weighted improved DBSCAN spatial clustering algorithm is constructed to quantitatively characterize fracture development and energy accumulation. Next, a Gaussian mixture model is used to probabilistically model the microseismic event sequence and extract surrounding rock stability features. Finally, a multi-source physical feature vector containing temporal statistical features, spatial structural features, and probabilistic state features is constructed to form a precursor feature sequence with clear physical meaning. This method can extract multi-source features from microseismic data that integrate prior geological knowledge and rock fracture physics mechanisms, providing reliable input data for subsequent intelligent rockburst early warning models and effectively improving the accuracy of rockburst determination.

The invention relates to the technical field of rock fracture, and discloses a liquid air energy storage fracture method capable of accurately delaying, which comprises the following steps: mounting a special detonator in a drill hole and connecting the special detonator to a ground controller; the in-situ thermal conductivity coefficient of the drilling environment is detected through the special detonator, and the storage pressure and temperature of to-be-filled liquid air are obtained; operating the feed-forward calibration model, taking the detection parameters as cooperative input, and calculating and generating an operation parameter set containing calibrated delay time and a heating curve; the operation parameter set is issued to a special detonator, and liquid air filling and drilling hole sealing are completed; after an external detonation instruction is received, the special detonator autonomously and cooperatively executes preprocessing and delayed timing according to the parameter set, and detonation is triggered after timing is finished. Through active detection of working conditions, multi-dimensional cooperative calibration and autonomous execution are carried out, the difference between the geological environment and the initial state of a medium is effectively compensated, and it is ensured that liquid air reaches the optimal state at the triggering moment.

The invention discloses a rock fracture classification method based on a time-frequency double-branch fusion convolutional neural network model, and belongs to the field of rock mechanics and geotechnical engineering. The method comprises the following steps: firstly, collecting an acoustic emission signal in a rock damage process, synchronously generating a time domain oscillogram and a frequency domain spectrogram for the same acoustic emission event, and constructing bimodal input data; secondly, constructing a double-branch convolutional neural network architecture, and respectively inputting the time domain graph and the spectrogram into two independent convolutional neural network branches to extract features; and then, splicing and fusing the feature vectors output by the two branches to form a composite feature with time-frequency domain information. And finally, sending the fusion features into a classifier to realize the discrimination of the type of the rock tension and shear fracture. According to the method, the time-frequency complementarity of the acoustic emission signals is fully utilized, high-precision and high-robustness fracture classification can be realized only through single-sensor data, and an effective intelligent tool is provided for accurate analysis of a rock fracture mechanism and engineering safety early warning.

This application discloses a method and system for predicting fold-related fractures based on the principle of stress superposition, belonging to the field of geological analysis technology. The method includes: acquiring past 3D seismic data and past regional stress tensors of a region, and constructing a high-precision structural grid cell on the top surface of the target reservoir; based on the high-precision structural grid cell, determining the fracture type and fracture orientation according to the sliding window-least squares surface fitting joint method, the principle of stress superposition, and rock fracture criteria, thus obtaining a fracture prediction model; acquiring the current 3D seismic data and current regional stress tensor of the target region, and inputting them into the fracture prediction model to obtain the current fracture type and current fracture orientation. This application achieves accurate prediction of the type and orientation of fold-related fractures.

The invention relates to the technical field of oil and gas field development, in particular to a low-permeability reservoir multi-cycle hydraulic fracture expansion method and device and a storage medium. The low-permeability reservoir multi-cycle hydraulic fracture expansion method comprises the steps that the minimum horizontal principal stress and the rock fracture pressure of rock of a target interval are solved; the bottom hole pressure of the target well is obtained; enabling the reservoir to form a shear fracture expansion area; enabling the reservoir to form a tensional fracture expansion area; establishing a high flow guide channel; closing the well, measuring the pressure drop of the well mouth, and waiting for closing of the tensional crack; and the operation from the third step to the sixth step is repeated, multi-cycle liquid injection is conducted, the seam length is increased, and the expansion area of the seam network is expanded. According to the method, a displacement pressure control method is adopted, the reservoir generates shear fractures and tensile fracture zones, the tensile fractures are supported, high flow guide channels are established, the reservoir transformation volume is further increased, the recovery efficiency is improved, the effective period of measures is prolonged by two times compared with conventional fracturing, the construction cost is reduced by 10%, the oil increase of a single well is improved by 15% or above, and low-permeability reservoir benefit development can be achieved.

The invention relates to the field of image processing, and provides an infrared image feature enhancement method and system for a rock fracture precursor, and electronic equipment, and the method comprises the steps: obtaining an original infrared image of a rock fracture process; obtaining a saliency map of the rock fracture area based on the original infrared image; segmenting the saliency map to obtain a foreground region and a background mask region; enhancing the foreground region to obtain a foreground enhanced image, and enhancing the background mask region to obtain a background enhanced image; and fusing the foreground enhanced image and the background enhanced image to obtain an enhanced infrared image of the rock fracture process. The method is used for overcoming the defects that in the cracking process of a rock plate, the signal-to-noise ratio of an infrared image is low, and micro-thermal anomaly recognition is difficult, and accurate separation of a damaged area and a background is achieved based on a foreground and background segmentation module of improved significance detection; and a histogram equalization algorithm based on local variance weighting is adopted, so that an effective technical means is provided for rock burst precursor early warning.

Disclosed is a vehicle-mounted high-energy laser-induced rock fracturing control system and method. The method includes: acquiring, by a second image acquisition and analysis unit, surrounding environment information of an electric flat cart; generating, by an electric flat cart control unit, a first control command; controlling the electric flat cart to move to a designated rock crushing position; acquiring, by a first image acquisition and analysis unit, the type of the rock to be crushed, and acquiring real-time condition information of laser-induced rock fracturing after activating a laser emission unit; acquiring, by a laser control unit, a laser emission parameter corresponding to the current type of rock to be crushed, adjusting the laser emission parameter, and generating a second control command according to the laser emission parameter; and controlling the laser emission unit to activate to emit a laser to fracture the rock.

The application discloses a real granite GBM modeling method considering mineral layer structure and relates to the technical field of rock mechanics, and comprises the following steps: obtaining the morphological characteristics, structural characteristics and distribution positions of quartz, feldspar and mica minerals through high-precision nanometer CT; introducing the mineral information into PFC2d discrete element software to perform real GBM modeling; introducing various contact models in the real GBM model to reproduce the process of mineral particle deformation and micro-crack evolution; correcting the mesoscopic mechanics parameters of the real GBM model through indoor experiments to reproduce the process of mineral particle deformation and micro-crack evolution; obtaining the influence law of the mineral layer structure on the rock mechanics characteristics and cracking behavior based on the real GBM model, obtaining the change conditions of the mineral scale crack propagation and the force chain network structure; and combining the high-precision nanometer CT and the discrete element modeling to restore the real layer structure and crystal form of the minerals, and improving the precision and reliability of rock rupture simulation.

The invention discloses a fold-related crack prediction method and system based on a stress superposition principle, and relates to the technical field of geological analysis, and the method comprises the steps: obtaining the past three-dimensional seismic data and the past regional stress tensor of a region, and constructing a high-precision structural grid unit of the top surface of a target reservoir; based on a high-precision constructed grid unit, according to a sliding window-least square curved surface fitting combined method, a stress superposition principle and a rock fracture criterion, determining a crack type and a crack trend, and obtaining a crack prediction model; and obtaining current three-dimensional seismic data and a current area stress tensor of the target area, and inputting the current three-dimensional seismic data and the current area stress tensor into the crack prediction model to obtain a current crack type and a current crack trend. According to the invention, accurate prediction of the type and the trend of the fold-related crack is realized.

The invention relates to the technical field of acoustic emission, discloses a rock fracture source positioning identification method and system under true triaxial multi-field coupling, and aims to solve the problems that monitoring and analysis of the existing rock fracture process have distortion, accurate positioning is difficult, and fracture types cannot be judged. According to the scheme, the method mainly comprises the following steps: arranging an acoustic emission sensor and applying preset temperature, water pressure and true triaxial preloading; the minimum principal stress, the middle principal stress and the maximum principal stress are loaded in a graded mode, and servo control is switched according to the deformation rate in the minimum principal stress direction in the maximum principal stress loading stage; recording whole-process acoustic emission data, and intelligently screening rock fracture waveforms by using a deep convolutional neural network; a grid search positioning algorithm is adopted to invert the space position of the rupture source; and solving a moment tensor based on the P-wave amplitude, and quantitatively judging the crack type through eigenvalue decomposition. According to the method, the rock fracture signal identification precision and positioning reliability under the multi-field coupling condition are improved, quantitative judgment of the fracture mechanism is achieved, and the method is particularly suitable for deep underground engineering.

The invention discloses a strike-slip fault control effective crack evaluation method based on tectonic stress field simulation, which comprises the following steps of: determining a target horizon and fault-crack distribution characteristics of a research area, determining tectonic stress field simulation boundary conditions, constructing a reasonable tectonic model and a mathematical model, carrying out tectonic stress field simulation, and then evaluating a strike-slip fault control effective crack according to a simulation result. The method comprises the following steps: calculating geological and engineering parameters for representing the fault-joint system, performing weight assignment by using an analytic hierarchy process, comprehensively constructing effectiveness evaluation parameters of the fault-joint system by multiple parameters, and establishing effectiveness evaluation standards of the fault-joint system by calibrating the effectiveness evaluation parameters of the fault-joint system. And finally, accurately determining the spatial distribution area of the effective cracks in the fracture-crack system. According to the method, on the basis of a rock fracture criterion, the development distribution rule of effective fractures in a reservoir is predicted by taking ground stress as an application condition, and an effective scheme is provided for professional technicians for researching the effectiveness distribution characteristics of a fracture-fracture system in a strike-slip fault zone and well location deployment.

The application discloses a large-inclination coal seam overburden rock breakage migration prediction method and system based on machine learning, and the method comprises the following steps: S1, collecting geological data of a large-inclination coal seam and performing missing value filling and abnormal value detection on the geological data to obtain pretreatment data; S2, extracting static features from the pretreatment data, collecting mining dynamic features in a mining process, and performing breakage migration simulation based on the static features and the dynamic features; and S3, constructing an overburden rock breakage migration prediction model based on a simulation result, inputting to-be-detected breakage migration data into the overburden rock breakage migration prediction model, outputting a prediction result, and completing the large-inclination coal seam overburden rock breakage migration prediction based on machine learning.

The invention discloses a method, a system and equipment for determining a drilling track of a multilateral borehole and a medium, and belongs to the technical field of oil and gas drilling engineering technologies. The method for determining the drilling track of the multilateral borehole comprises the steps that a target block where a main borehole is located is determined, and geomechanical parameters of the target block are obtained; calculating stress distribution information of the target block by using the branch point wall clamping finite element model; according to the stress distribution information, determining a parameter range when the wall clamping wall stress is smaller than the target layer rock fracture pressure, and according to the parameter range, determining a borehole included angle between the branch borehole and the main borehole; establishing a discrete element model of the multilateral well, and setting parameters of the discrete element model; determining the drilling direction of the multilateral well by using the discrete element model; and according to the borehole included angle and the drilling direction, the drilling track of the multilateral borehole is determined. According to the method, the drilling track of the multilateral well can be determined on the premise of ensuring the stability of the well wall, and the safety of the drilling process is improved.

The invention discloses a shaft temporary plugging crack uniform expansion quantitative evaluation method, device, equipment and medium, and relates to the technical field of petroleum and natural gas engineering, and the method comprises the following steps: obtaining mineral percentage content and Young modulus distribution data of a rock sample; respectively carrying out uniformity degree calculation on the mineral percentage content and Young modulus distribution data to obtain rock mineral uniformity degree and rock mechanical uniformity degree, and calculating a rock micro-crack complex coefficient; acquiring a first fracturing curve of a rock fracture and a second fracturing curve after the temporary plugging agent is added, determining rock fracture pressure and fracture peak pressure, and calculating a fracture turning index; performing regional standardization on the second fracturing curve, and calculating a fracture extension coefficient; the rock crack uniformity coefficient is calculated based on the rock micro-crack complex coefficient, the crack turning index and the crack extension coefficient, the shaft temporary plugging crack uniform expansion capability quantitative evaluation is performed on the rock crack according to the rock crack uniformity coefficient, and the accuracy of the shaft temporary plugging crack uniform expansion quantitative evaluation can be improved.

The invention discloses a real granite GBM modeling method considering a mineral layered structure, and relates to the technical field of rock mechanics, and the method comprises the following steps: obtaining morphological characteristics, structural characteristics and distribution positions of quartz, feldspar and mica minerals through high-precision nanometer CT; mineral information is imported into PFC2d discrete element software, and real GBM modeling is carried out; a plurality of contact models are introduced into a real GBM model, and the process of mineral particle deformation and microcrack evolution is reproduced; the microscopic mechanical parameters of the real GBM model are corrected through an indoor experiment, and the process of mineral particle deformation and microcrack evolution is reproduced; on the basis of a real GBM model, obtaining an influence rule of a mineral stratified structure on rock mechanical properties and cracking behaviors, and obtaining change conditions of mineral scale crack propagation and a force chain network structure; high-precision nanometer CT and discrete element modeling are combined to restore the real layered structure and crystal morphology of the mineral, and the precision and reliability of rock fracture simulation are improved.