22 results about "Rock structure" patented technology

The application discloses a white granite type high-purity quartz purity prediction method and application thereof, and belongs to the technical field of rock purity prediction. The prediction method encodes and assigns one or more prediction parameters, such as main mica types, rock structures, rock structures, feldspar types, quartz types, solid inclusions, liquid inclusions, solid inclusion quantity, aluminum impurity element content grading, titanium and lithium element content grading, calcium and phosphorus element content grading, potassium and sodium element content grading and grain factor grading, and then predicts the quartz purity in the ore based on a random forest classifier prediction model or a support vector machine prediction model. The comparison between the actual measurement and the prediction result proves that the prediction method has accurate and reliable prediction results, realizes the replacement of manual detection by artificial intelligence prediction, greatly reduces the manpower and material resources, and provides an efficient and accurate prediction method for quartz purity prediction.

This invention relates to the field of carbonate rock lithology identification technology, and particularly to a method, system, and apparatus for automatically identifying carbonate rock lithology based on well logging curves; comprising the following steps: S1, acquiring well logging curve data, core data, and thin section data from multiple wells in the area to be identified; S2, standardizing and environmentally correcting the well logging curve data; S3, using an optimization model to solve for the lithological profile of the area to be identified, thereby determining the clay content, porosity, and water saturation; S4, constructing rock structure curves and formation fracture porosity curves; S5, constructing a machine learning model, setting a learning sample set, and inputting the learning sample set into the machine learning model for training, so that the trained machine learning model can automatically identify carbonate rock lithology; this invention improves the accuracy of carbonate rock lithology identification.

This invention provides a refined design method for explosive charge quantity based on rock mineral particle structure, relating to the field of geotechnical engineering blasting technology. This invention maps the mineral composition and particle size data of rock samples to mineral hardness distribution characteristics and particle structure characteristics, respectively, and generates a high-dimensional feature vector through nonlinear encoding fusion. This vector is input into a graph neural network, and a rock structure feature relationship map is formed through node representation and attention mechanisms. Using this map as a condition, under the constraint of baseline explosive consumption, a deep generative network learns and outputs a differentiated charge distribution matrix corresponding to spatial location. After alignment and transformation with blasting hole mesh parameters, a charge allocation design map is generated. Finally, after blasting based on this design map, actual effect indicators are collected to construct a multi-objective optimization function. An optimization algorithm is used to adjust the parameters of the graph attention mechanism and the generative network in reverse according to the effect differences, achieving iterative optimization of the model.

The application discloses a method, device and equipment for identifying sweet spots of shale oil in a salinized lake basin. The method comprises the following steps: firstly, determining a rock structure factor of a stratum based on a natural gamma curve, volume density logging data and skeleton density logging data of the stratum, so as to determine the lithology of the stratum and identify reservoir rock layers in the stratum based on the rock structure factor; then, determining a lamination index of the rock in the stratum based on electrical imaging logging data, so as to identify source rock layers in the stratum based on the lamination index; and finally, identifying a sweet spot development section of the shale oil in the salinized lake basin based on the reservoir rock layers in the stratum and the source rock layers in the stratum. The method can quickly identify the sweet spot development section of the shale oil in the target area, and provides a basis for later oil and gas development.

This invention discloses a protective device for easily splittable rock strata and a method for curtain grouting construction of dam toe slabs. It changes the conventional practice of directly constructing high-pressure sections after the low-pressure sections are completed. Instead, after grouting the low-pressure sections, a protective device for easily splittable rock strata is first installed to form a solid isolation layer. This layer directly wraps and protects the easily splittable, low-strength soft rock sections, blocking the pressure transmission and grout impact of the lower high-pressure grouting. This prevents splitting and collapse of the grouted soft rock sections from the source, protecting the fragile rock structure above the dam foundation from grouting disturbance and damage. By implementing a "protection first, construction later" approach as a fixed procedure in the construction process, the risk of grout seepage from the upper part and abnormal ash consumption during the grouting of the lower high-pressure sections is reduced, ensuring that the high-pressure sections can be successfully grouted under the designed pressure value.

This invention discloses an automated method, system, and device for assessing the surrounding rock grade of tunnels. The method includes the following steps: Step 1: Capturing images of the tunnel face using a drone and transmitting the images to a computer terminal; Step 2: Performing multi-dimensional preprocessing on the tunnel face to obtain effective image areas; Step 3: Calculating the fracture density image quantity D. f Crack direction dispersion H θ Surface roughness E r Step 4: Crack density image quantity D f Crack direction dispersion H θ Surface roughness E r Step 5: Perform normalization processing and calculate the surrounding rock structure complexity index RSCI; Step 6: Based on the surrounding rock structure complexity index RSCI, calculate the continuous surrounding rock quality score Q through a monotonic mapping function; Step 7: Map the continuous surrounding rock quality score Q to the surrounding rock grade according to a preset threshold interval and output the surrounding rock grade evaluation result.

The application provides a structure surface damage feature quantification method and a strength feature quantification method, and belongs to the technical field of rock structure surface topography. The method comprises the following steps: carrying out an indoor shear test on a sawtooth structure surface, acquiring point cloud data of the structure surface before and after shearing by using a three-dimensional laser scanning technology, and collecting visual images of the structure surface; preliminarily extracting a damage area and calculating a preliminary damage degree D d of the structure surface d ; judging the overall damage condition of the structure surface according to D d ; for a seriously damaged area, quantitatively evaluating the damage range by using the three-dimensional laser scanning technology; for a structure surface with slight overall damage or a locally slightly damaged area in a seriously damaged structure surface, finely extracting the damage area by using a computer vision technology, and calculating a projection area proportion of the damage area on an XOY plane, denoted as D r ; using the damage degree D d and the damage range D r to jointly represent the damage feature of the structure surface. D d , D r can be directly used to establish a quantification model of the peak strength, and provide a quantification input with a more explicit physical meaning for strength evaluation.

The present application belongs to the technical field of surrounding rock stability monitoring and evaluation, and particularly relates to a coal mining influenced surrounding rock stability intelligent evaluation method and system, which fuses a mining cumulative effect factor, a ground stress environment factor, a surrounding rock structure integrity factor and a support effective factor through a nonlinear product formula, truly reflects the synergistic hazard law of surrounding rock instability under the coupling action of multiple factors, simultaneously adopts a mixed form combining harmonic mean and coupling enhancement for a current comprehensive risk index, can effectively capture the risk jump phenomenon when deformation anomaly and hazard factors deteriorate at the same time, and adopts a situation prediction model fusing a grey prediction and a Markov chain, corrects the residual error of the grey prediction by the Markov chain, significantly reduces the prediction error of a single model, combines the instability probability calculated by a logistic regression, realizes the quantitative trend prediction of the surrounding rock stability within a certain time window in the future, and greatly improves the advance and accuracy of the early warning.

The application discloses a kind of rock slope internal joint exploration methods based on multiple information, comprising the following steps: S1, the probe device with geological radar and three-dimensional laser scanner is stretched into the well of being previously laid in slope;S2, at different well height, the scanning data of well inner wall is obtained by three-dimensional laser scanner, and the joint radar information in a certain range of well wall is obtained by driving geological radar to rotate one week;S3, the radar information obtained is identified to joint space feature, including the joint that is not perpendicular to well inner wall and the joint that is perpendicular to well inner wall, and the depth of joint and the included angle between joint and well inner wall when not perpendicular can be calculated according to the radar data of multiple adjacent scanning periods;S4, the identified joint space feature is fused with the scanning data of three-dimensional laser scanner, and the rock structure surface containing joint three-dimensional information in corresponding well is drawn.The application can realize three-dimensional exploration of rock slope internal joint.

The present application relates to coal mining technology field, especially to a kind of coal mine working face surface mining subsidence pit monitoring method and system, coal mine working face surface mining subsidence pit monitoring method includes: target hard difficult collapse rock stratum is reformed, to reduce the strength, integrity and integrity of target hard difficult collapse rock stratum;The roof strata of working face initial mining stage are carried out surrounding rock structure detection, determine the damage range, strength and joint fissure distribution of target hard difficult collapse rock stratum of working face initial mining stage roof;The roof strata of working face initial mining stage are carried out pre-splitting, damage the integrity and strength of target hard difficult collapse rock stratum;The position of working face mining predicted subsidence pit is grouted and filled;Monitoring working face initial mining stage mining working face roof strata microseismic event, surface real-time displacement and surface subsidence during working face mining process.Effectively control roadway under the influence of double thick coal seam and hard roof working face mining surface subsidence pit management problem.

This invention relates to the field of mining blasting and tunneling technology, and discloses a tunnel blasting and tunneling method based on the super-shear fracturing of layered hard rock structural surfaces. The blasting method first induces super-shear fracturing of the hard rock structural surfaces through blasting. The generated Mach cone high-frequency shock wave and Rayleigh wave jointly promote the generation of shear and tensile cracks on both sides and the surface of the structural surfaces. Then, a fractured cavity is formed by delayed blasting through deep and shallow holes. The tunneling method utilizes the fractured cavity formed by blasting and the surrounding cracks. The cutting head of the roadheader penetrates into the cavity and laterally spins and breaks the rock, which is beneficial to the breaking of hard rock. This invention forms a highly efficient and coordinated rock breaking system of "blasting-machinery" for layered hard rock tunnels, which solves the problems of low rock breaking efficiency, large cutting tooth wear, unreasonable explosive dosage, and insufficient free surface in traditional hard rock tunneling.

The application relates to the technical field of tunnel monitoring, and relates to a tunnel surrounding rock state monitoring device and method based on a piezoelectric intelligent anchor rod. The device comprises an anchor rod unit and a sensing unit. The anchor rod unit is arranged on the tunnel surrounding rock in the form of a rectangular array. The anchor rod unit comprises four wave-emitting anchor rods and one wave-receiving anchor rod. The wave-receiving anchor rod is arranged at the center of the rectangle, and the four wave-emitting anchor rods are arranged at the four vertices of the rectangle. The sensing unit is arranged inside the wave-receiving anchor rod and the wave-emitting anchor rod. The sensing unit is used for monitoring the surrounding rock structure damage. The application can expand the monitoring range from a single point to an area. The active sensing principle is used to sensitively capture the wave propagation characteristic change caused by the early damage such as micro-cracks and looseness in the surrounding rock, so that early warning can be realized before macroscopic deformation occurs.

This invention discloses a method for determining the rock failure surface during drilling, comprising the following steps: 1) simulating and determining the drilling force model, and determining the relationship between the components in the model; 2) calculating the maximum shear stress at which the rock structure undergoes plastic failure; 3) determining the shape of the failure surface and the maximum shear stress τ in the shear zone determined in step 2) according to the maximum shear stress criterion. max This is related to predicting the failure surface; 4) Based on the maximum shear stress criterion, the iterative method is used to solve the force acting on the cutting surface, and the function of the failure surface is determined by inputting the basic drilling parameters, quantitatively presenting the failure surface morphology. The method of this invention introduces the Michel solution of elastoplastic mechanics to solve the stress state of the rock shear zone during drilling, and derives a specific response function of rock properties to drilling parameters based on the stress characteristics of the drill bit; referring to the maximum shear stress criterion, the shear stress of the unit body is compared with the shear strength of the rock to determine whether the rock is broken.

This disclosure relates to the field of geotechnical engineering specimen preparation technology, and relates to a method for preparing rock structural surfaces based on two-dimensional blasting, comprising the following steps: providing a rock specimen substrate; determining the foliation orientation of the rock specimen substrate; determining the drilling area and drilling direction according to the foliation orientation of the rock specimen substrate; drilling holes in the drilling area along the determined drilling direction to obtain mounting holes; preparing a blasting device, the blasting device including a shaped charge tube and an expanding agent disposed inside the shaped charge tube, the tube wall having two shaped charge zones arranged radially opposite to it, and multiple shaped charge holes arranged at intervals along the axial direction of the shaped charge tube on the shaped charge zones, the outer diameter of the shaped charge tube matching the inner diameter of the mounting holes; placing the blasting device into the mounting holes; detonating the blasting device to obtain the blasted substrate, the blasted substrate being used as the target specimen, which can completely retain the original rock structure and mechanical properties, meeting the requirements of indoor structural surface rock mechanics testing.

A rotary steerable drilling system test matching system, the test matching system mainly comprises a rotary drilling system, a wellbore system, a stratum simulation system and a coiled tubing; wherein the rotary drilling system applies drilling pressure and provides rotary torque to the test system during the test; the wellbore system and the coiled tubing are structures simulating a wellbore; the stratum simulation system simulates a stratum rock structure; the rotary drilling system is connected with the wellbore system through a positioner on the rotary drilling system and a flange plate of a wellhead wellbore to form an integrated body; a terminal port of the wellbore system is connected with a flange of the stratum simulation system; an outlet of a mud pump is communicated with the coiled tubing; and an outlet of the coiled tubing is communicated with a central pipe of the rotary drilling system through a high-pressure manifold. The application simulates oilfield drilling conditions through a rotary drilling stratum simulation system process, verifies the flow, pressure drop, applied drilling pressure and borne torque of the rotary steerable tool under different rotating speeds through a simulation test, and establishes the relationship among them, thereby providing technical support for developing the rotary steerable tool.

The application discloses a coal mine roadway point cloud grading denoising and surrounding rock structure extraction method and system, relates to the field of intelligent sensing of coal mines, and comprises the following steps: obtaining original three-dimensional point cloud data of a coal mine roadway, performing voxelization downsampling and statistical outlier removal, eliminating random sparse noise points, and obtaining a pretreated point cloud set; calculating normal vectors of each point in the point cloud set, solving and dividing the point cloud into a floor, a roof and two candidate sets of sides; performing density-based clustering analysis on the candidate sets respectively, retaining main surrounding rock structure clusters, and removing small and medium-sized independent suspended facility clusters, to obtain a purified component point cloud; constructing a robust shell filtering model based on angular sector statistical characteristics, performing axial slicing and polar coordinate transformation on the component point cloud, removing pipelines close to the sides of the roadway and spatial placeholder targets located in the interior of the roadway, and generating a final roadway surrounding rock structure point cloud.

This invention belongs to the field of deep underground engineering surrounding rock control technology, and particularly relates to a layered gradient grouting method and integrated reinforcement and sealing structure for deep underground spaces. The structure comprises: a deep permeable grouting layer, a middle high-strength reinforcement layer, and a surface high-toughness sealing layer arranged radially from the inside to the outside along the surrounding rock. The three layers meet preset relationships in terms of permeability coefficient, strength, and elastic modulus, with the permeability coefficient decreasing layer by layer, and the middle layer exhibiting the highest strength and elastic modulus. A continuous transition zone is provided between adjacent layers, resulting in a continuous transition in material properties. This structure is integrated through staged grouting from deep to shallow, radially decreasing grouting pressure, and dynamic control of grouting parameters via fiber optic monitoring. This invention achieves synergy between grouting, reinforcement, and sealing functions, forming a load-bearing and seepage-proof coupled composite surrounding rock structure that can adapt to changes in stress gradient in deep surrounding rock, eliminate weak interfaces between layers, and ensure the long-term stability and safety of deep underground spaces.

The application discloses a method for judging a real favorable reservoir of a super-thick bioclastic limestone reservoir, and the method comprises the following steps: based on core granularity, seismic data and gamma logging curves, the reservoir is divided into multiple third-order sequences, and a favorable development layer section in the reservoir is determined in each third-order sequence; based on rock structure and rock particle types in the favorable development layer section, a favorable sedimentary facies is determined in the favorable development layer section; based on dissolution strength and cementation strength of the favorable sedimentary facies, a favorable diagenetic facies is determined in the favorable sedimentary facies; based on pore throat structure, pore throat types and pore types of the favorable diagenetic facies, a favorable rock physical facies is determined in the favorable diagenetic facies; based on deep lateral resistivity curves of production wells of the reservoir, a theoretical favorable reservoir is determined in the favorable rock physical facies; and based on production logging data, whether the theoretical favorable reservoir is a real favorable reservoir is judged. The technical scheme provided by the application can improve the accuracy of real favorable reservoir judgment.

The present disclosure provides a 3D scanning-based roughness and critical filling degree quantitative relationship determination method, comprising: obtaining first three-dimensional point cloud data of a rock structure surface containing a soft interlayer, generating a three-dimensional digital model of the rock structure surface, and dividing a plurality of space units in the three-dimensional digital model; preparing a sample of the rock structure surface according to the three-dimensional digital model after the space units are divided; extracting the roughness parameters of each space unit in the three-dimensional digital model; under different normal stresses and different filling degrees, performing a shear test on the sample to determine the critical filling degree of each space unit of the sample; and constructing a quantitative relationship model of the roughness parameters and the critical filling degree according to the roughness parameters and the critical filling degree of all space units. The present disclosure obtains the full-surface three-dimensional topographic data of the structure surface through the 3D scanning technology, and comprehensively and quantitatively describes the roughness characteristics of the structure surface by combining the parameter quantification of the roughness and the critical filling degree.

This invention discloses a simulation platform and a dynamic evaluation method for support effects in composite roof roadways, specifically relating to the field of digital simulation technology. It addresses the problem of delayed support effect evaluation caused by insufficient fusion of multi-source monitoring data in existing digital twin systems. By acquiring multi-source monitoring data on microseismic, stress, and deformation, the invention identifies key bearing layers in the composite roof, delineates potential damage zones within these layers, and determines the effective anchorage range based on support parameters. It analyzes the spatial competition between these two layers, predefines multiple typical support failure modes based on this relationship and the rock structure, and constructs a damage evolution trajectory for each mode that reflects the collaborative evolution law of multi-source data. Real-time monitoring data is dynamically matched with each trajectory to determine the target support failure mode and its evolution stage corresponding to the current damage state. Based on this, the control effect of the current support scheme is evaluated, and dynamic early warning information is generated, achieving a mechanistic and forward-looking dynamic evaluation of support effects.