1663 results about "Petrology" patented technology

The invention relates to the technical field of environment evaluation, in particular to a comprehensive evaluation method and system for a mine geological environment. The method comprises the following steps that mine ore content data, underground water level data, soil acidity and alkalinity data and mine geological meteorological condition data are obtained and subjected to time sequence synchronization processing, and corresponding ore content data, underground water level data, soil acidity and alkalinity data and mine geological meteorological condition data in the same time sequence range are obtained; mine geologic structure exploration data are obtained, three-dimensional space structure modeling and environment risk factor monitoring of all sites are carried out, meanwhile, environment risk comprehensive evaluation analysis and environment risk management analysis are carried out on a three-dimensional space model of mine geologic structure distribution, and mine geologic environment risk management decision suggestions are generated. And executing a corresponding mine geological environment risk level management decision treatment plan. According to the invention, comprehensive dynamic monitoring of the geological environment of the mine can be realized on different time scales and spatial position dimensions.

The present disclosure relates to systems and / or methods for predicting the location of subsurface reservoirs of natural hydrogen. One or more embodiments described herein include a system that can comprise a memory to store computer executable instructions. The system can also comprise one or more processors, operatively coupled to the memory, that execute the computer executable instructions to implement a hydrogen exploration controller configured to generate a plurality of maps characterizing a geographical region. The respective maps from the plurality of maps can delineate a location of respective geological features within the geographical region that are associated with a presence of a subsurface reservoir of natural hydrogen. Additionally the hydrogen exploration controller can be further configured to identify an area in the geographical region that comprises a convergence of two or more of the respective geological features based on the plurality of maps.

Methods for producing and extracting geologic hydrogen from rock formations, and related systems, are generally disclosed.

The invention discloses a centrifugal deep sea rare earth collecting mine car, a deep sea rare earth collecting system and a mining method.The centrifugal deep sea rare earth collecting mine car comprises a mining car body, the mining car body is provided with a centrifugal collecting mechanism, and the centrifugal collecting mechanism comprises a first annular flow channel and a first driving mechanism; and the first driving mechanism is connected with the first annular runner. According to the centrifugal deep-sea rare earth collecting mine car, the centrifugal collecting mechanism is adopted for collecting deep-sea rare earth, negative pressure is formed through the first annular flow channel, the deep-sea rare earth and seawater can be sucked upwards to be collected, deep-sea rare earth slurry can be efficiently collected, the collecting efficiency is improved, and the collecting mode is particularly suitable for collecting the deep-sea rare earth; the defect that a traditional mining vehicle cannot be used for deep-sea rare earth collection is overcome, and development of the deep-sea rare earth collection industry is facilitated.

The invention relates to the technical field of land degradation monitoring, in particular to a remote sensing comprehensive monitoring method for land degradation of a coal mining subsidence area. The method comprises the following steps: establishing a prediction model, obtaining a predicted soil erosion intensity sequence, a predicted primary productivity sequence, a predicted surface water content index sequence and a predicted arid remote sensing monitoring index sequence by utilizing the prediction model, and then respectively obtaining a first trend index, a second trend index, a third trend index and a fourth trend index at the current moment; obtaining a first index, a second index, a third index and a fourth index by using the soil erosion intensity, the primary productivity, the surface water content index, the arid remote sensing monitoring index, the first trend index, the second trend index, the third trend index and the fourth trend index at the current moment; and obtaining a land degradation degree index of the coal mining subsidence area based on the first index, the second index, the third index and the fourth index at the current moment. According to the method, the land degradation degree of the coal mining subsidence area can be accurately judged.

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 invention provides a cement paste system with high strength, elasticity and toughness and application of the cement paste system in deep coal bed gas horizontal well cementation, and the cement paste system is prepared from the following raw materials in parts by mass: 40-70 parts of oil well cement, 13-40 parts of fly ash, 15-45 parts of slag, 5.0-20.0 parts of water-based organic silicon resin, 0.1-0.5 part of ultra-high performance polyethylene fiber, 3.0-8.0 parts of calcium oxide and 2.0-5.0 parts of calcium sulfate whisker. 1.0-8.0 parts of nano silicon dioxide, 1.0-6.0 parts of a fluid loss agent, 0.5-2.0 parts of a drag reducer, 0.2-1 part of a defoaming agent and 50-80 parts of water. The cement paste system disclosed by the invention has the characteristics of remarkable low-temperature quick setting and high early strength, also has the advantages of low water loss, controllable thickening, simple preparation operation and the like, and set cement is high in compressive strength, high in breaking strength and very excellent in elastic and tough mechanical properties.

The invention provides an ore leaching property analysis method, and belongs to the field of process mineralogy, and the method comprises the following steps: taking a to-be-detected sample, carrying out ore grinding treatment, and carrying out ore washing and desliming to obtain a pretreated sample; mixing the pretreated sample with graphite to prepare an automatic mineralogical analysis sample, measuring the content of a target mineral and the content of a target element through automatic mineralogical analysis, and calculating the average content of the target mineral; adding an agent into the pretreated sample to carry out leaching reaction, carrying out solid-liquid separation to obtain mineral residues, and calculating the mass ratio of the mineral residues to the pretreated sample before reaction; mixing mineral residues with graphite to prepare an automatic mineralogical analysis sample, analyzing the sample, measuring the content of residual target minerals and the content of residual target elements, and calculating the average content of the residual target minerals; and calculating a mineral leaching coefficient and an ore leaching coefficient based on the obtained data. The in-situ leaching recovery rate prediction method based on mineralogical analysis is suitable for development and evaluation of low-grade and complex ore bodies.

The invention relates to the technical field of reservoir numerical simulation, and discloses a polymer flooding reservoir rapid simulation optimization method considering sedimentary facies constraints, which comprises the following steps: identifying sedimentary facies boundaries according to distribution characteristics of sedimentary facies, and establishing a connected network model considering the sedimentary facies constraints on the basis of the sedimentary facies boundaries, well positions and various sedimentary facies attributes; carrying out one-dimensional grid division on the connected network model, converting the connected network model into a grid connection format of a universal simulator, and solving the connected network model by adopting the universal simulator to obtain pressure and saturation solutions; establishing an automatic historical fitting mathematical model based on sedimentary facies and oil reservoir constraint conditions; the economic net present value is used as an index, the water injection rate, the liquid production rate and the polymer injection rate of each well are used as optimization variables, the differential evolution algorithm is used, the total polymer injection amount and the oil reservoir pressure are restrained, and an oil reservoir injection and production optimization mathematical model is established. According to the method, the oil reservoir is optimized by comprehensively considering the characteristics of the oil reservoir after water flooding is converted into polymer flooding, so that rapid decision-making of the oil field and guidance of oil field construction are realized.

The invention relates to the technical field of oil and gas geological exploration, in particular to an over-mature hydrocarbon source rock parent material type distinguishing method and system.The method comprises the following steps that regional deposition characteristics are studied, an over-mature hydrocarbon source rock deposition environment is recognized, principal elements and microelements are extracted in combination with a geological background, and component relevance is judged; and sorting representative sedimentary environment elements, and establishing a sedimentary environment associated element set. According to the method, accurate recognition of the sedimentary environment is achieved by extracting major elements and trace elements, representative elements are screened, proportional analysis is combined with the macerals, distribution characteristics of saprolite groups, exinite groups and the like are determined, the ratio relation between the macerals and inorganic elements is recognized, a ratio operation set is constructed, and the relation between the macerals and the elements is analyzed in a multi-dimensional mode. The relationship between parent material types and maceral characteristics is disclosed, a maceral type index model is constructed, hydrocarbon source rock parent material type division precision and sedimentary environment analysis systematicness are improved, and a scientific basis is provided for oil and gas resource exploration.

The invention relates to the technical field of coal mine hydrological monitoring, in particular to a combined monitoring method based on directional drilling underwater coal mining dynamic fracture development. The method comprises the following steps: determining the predicted height of a water-flowing fractured zone, and obtaining a target horizon according to the predicted height of the water-flowing fractured zone; the position of a key layer is determined according to the target layer, and a ground drilling position is arranged on the ground; drilling according to the ground drilling position, the key layer and the target layer; when the hole is drilled to the target horizon, the water flowing fractured zone development height of the to-be-detected working face is obtained and recorded as the drilling water flowing fractured zone development height; arranging an underground detector, determining the development height of the water-flowing fractured zone according to the underground detector, and recording the development height as the development height of the micro-seismic water-flowing fractured zone; and acquiring the development height of the detected water-flowing fractured zone based on the development height of the drilling water-flowing fractured zone and the development height of the micro-seismic water-flowing fractured zone. Directional drilling and micro-seismic monitoring are combined, the water flowing fractured zone is comprehensively analyzed, and the accuracy of an analysis result is improved.

The invention discloses an intelligent analysis method for geomechanical conditions of coal seam surrounding rocks, and belongs to the field of intelligent analysis of the geomechanical conditions of the coal seam surrounding rocks. The intelligent analysis method comprises the following steps: performing time sequence matching processing on historical geological data and real-time monitoring information by adopting a dynamic data integration technology according to a preliminary integration result of multi-source data; determining a unified feature set after multi-source data fusion; acquiring geomechanical condition related data of the unmined area according to the initial prediction model parameters, and performing simulation analysis on the surrounding rock stability to obtain stability prediction distribution of the unmined area; according to the stability prediction distribution of the unmined area, combining a dynamic data integration result, carrying out local correction on the prediction distribution, and determining a final stability prediction result; and for a final stability prediction result, generating a geomechanical condition risk distribution diagram of the unmined area through an intelligent prediction technology, obtaining distribution characteristics of a potential risk area, and completing output of a prediction model.

The invention provides a deep sampling device for shale gas exploration, and relates to the technical field of sampling devices. A stabilizing part is arranged at the top of the fixing part; a manual control part is arranged in the stabilizing part; a sampling part is arranged below the manual control part; the conveying port is formed in the sampling rod, so that water can be conveniently conveyed, stone chips can be conveniently washed under the flowing of water, the stone chips between the sampling rod and the rock rod can be conveniently cleaned, a gap is formed between the sampling rod and the rock rod, the rock rod can conveniently slide out, and the integrity of a sample is kept; the problems that in the sampling process, as rock scraps exist between a drill rod and a rock sample rod, the rock sample rod is retained in the drill rod, the drill rod needs to be knocked when the rock sample rod is taken, the scraps flow out to assist the rock sample rod to be discharged, and the sampling efficiency is high are solved. And the problem of fracture of the rock drill rod during taking is avoided.

A method and a system for predicting physical properties of rock are disclosed. The method includes obtaining digital images of drill cuttings and data on drilling parameters and mud gas content and inputting of the obtained digital images of the drill cuttings to a first trained artificial intelligence model to determine the physical properties of a rock matrix and a lithological composition of the drill cuttings. The data on the lithological content of the drill cuttings, the drilling parameters, and the mud gas data are inputted to a second trained artificial intelligence model to determine a total porosity, an effective porosity, and a saturation of rocks. Additionally, the method includes inputting of the data on the total porosity, the effective porosity, and the saturation of the rocks, and the physical properties of the rock matrix to a rock-physics model to determine the physical properties of the rocks.

The invention provides a method for establishing a deep-sea mining plume rheological model considering physical property changes. The method comprises the following steps: establishing a deep-sea mining plume rheological database under different rheological models; analyzing and comparing the rheological parameter difference of the deep-sea mining plume under different rheological models; and constructing a deep-sea mining plume rheological model considering the physical property change, and constructing a relationship between the rheological parameters and the density. According to the technical scheme of the invention, the model uses the artificial sample kaolin plume with relatively stable properties to represent the mine sediment plume, and overcomes the defects of lack of mine sediment rheological test data and great rheological property difference of deep-sea sediments in various regions at present. The model provides an important reference for the change rule of the rheological property of the sediment in the mining area along with the density, and a deep-sea mining sediment plume rheological model under the full-life evolution period can be constructed on the basis of the important reference.

The invention discloses a deep anisotropic coal and rock mass in-situ stress recovery test method. The method comprises the following steps: step 1, preparing an anisotropic coal and rock mass sample; 2, carrying out an initial stress loading test; step 3, stress recovery test; and step 4, construction of a deep coal and rock mass anisotropy mechanical model. The method can solve the problem that the anisotropic characteristics and in-situ stress recovery process of the deep coal and rock mass cannot be accurately simulated in the prior art, and can accurately restore the mechanical behaviors of the deep coal and rock mass under different stress paths by combining an indoor test and a numerical simulation technology. And a scientific basis is provided for deep mine engineering design and disaster prevention and control.

The invention discloses a dust raising prevention sampling device and method for geological mineral exploration, and particularly relates to the technical field of geological exploration, the device comprises a drilling assembly, a drilling pipe assembly, a sampling inner pipe and an extraction rod, the drilling assembly comprises a drilling machine and a feeding driving frame, the drilling pipe assembly comprises a section of primary drilling pipe and a plurality of sections of secondary drilling pipes, the sampling inner pipe is arranged in the primary drill pipe, a plurality of groups of elastic pressing strips are arranged at the bottom end of the sampling inner pipe, and a tightening controller is further arranged on the outer side of the bottom of the sampling inner pipe. When the sampling inner pipe is lifted, the tightening controller extrudes the bottom end areas of the elastic pressing strips, so that all the elastic pressing strips are bent and deformed inwards, a soil sample entering the sampling inner pipe is extruded to a certain extent, and the carrying capacity of the soil sample is improved; furthermore, the soil sample in the sampling inner pipe can be effectively taken out when the sampling inner pipe ascends, and the sampling integrity and accuracy are greatly improved.

The invention discloses a method for fracturing a low-permeability coal seam by linkage of CO2 and high-pressure water, which comprises the following steps of: performing hydraulic fracturing to form a part of fractures, forming a weak acid environment by utilizing the characteristic that a CO2 medium is easily dissolved in high-pressure water in a high-pressure environment, and promoting chemical reaction between acid water and mineral components on the surfaces of the fractures under the driving of concentration gradient and high-pressure injection, the fractures are pressed by high-pressure water at the same time, so that cooperative work of high-pressure fracturing and CO2 acidification anti-reflection is achieved, and a complex fracture network is formed in the coal seam; after permeability increasing, the pressure is relieved, the normal pressure environment is recovered, at the moment, CO2 media dissolved in the high-pressure water in the layer penetrating drill holes are partially recovered to be in the gas state, CO2 gas and gas can form competitive adsorption in the coal seam, a large amount of gas is displaced and desorbed from the interior of the coal seam, in the whole process, the permeability increasing effect on the coal seam can be effectively achieved, and the coal seam permeability increasing effect is achieved. And no extra damage is caused to the coal seam, finally, on the premise that more energy is not consumed, effective transformation of the pore structure volume of the coal body is achieved to the maximum extent, and the gas extraction efficiency is improved.

The present invention belongs to the technical field of oil and gas engineering. Disclosed are an artificially-assisted packing method for sand control and water control in a fractured reservoir, and a packing effect evaluation method. The artificially-assisted packing method for sand control and water control in a fractured reservoir comprises the following steps: S11, calculating a fracture occurrence evaluation index F for a fractured reservoir; S12, calculating an artificially-assisted packing process implementation feasibility index G; and S13, on the basis of the fracture occurrence evaluation index F obtained in step S11 and the artificially-assisted packing process implementation feasibility index G obtained in step S12, selecting one of a natural micro-saturated packing process, an artificially-assisted squeezing supersaturated packing process and an artificially-assisted fracturing strong-saturated packing process for packing. By means of the packing method in the present invention, an appropriate packing mode is correspondingly selected on the basis of the structure of a natural fracture in a reservoir, and the matching degree between the natural fracture and an available proppant, thereby "making the remedy suit the case" and effectively ensuring the effect of sand control and water control.

The invention provides a method for measuring a structure coefficient, and belongs to the field of process mineralogy, and the method comprises the following steps: selecting a representative ore sample, and preparing an automatic mineralogy analysis sample; performing automatic mineralogical analysis on the automatic mineralogical analysis sample, measuring the area of a target mineral and the content of a target element, and calculating a structural distribution coefficient, an edge structural distribution coefficient and a far-end structural content of the target mineral in combination with the density of the target mineral; and based on the target mineral structure content, the edge structure content and the far-end structure content, a target mineral structure coefficient, an edge structure coefficient and a far-end structure coefficient are calculated respectively, and an ore structure coefficient is obtained through weighted summation. According to the method, a special calculation method is set, the structural characteristics of the ore are comprehensively represented by the target mineral structure, the edge structure and the far-end structure, and the structural characteristics of the ore can be measured; through analysis of ore characteristic structures, structure coefficients are calculated so as to represent the influence of the structures on the permeability of the ore.

The invention discloses a fracturing sand plugging risk early warning method based on a deep autoregression model and an inverse slope method. The method comprises the steps that time series data of oil pressure, casing pressure, sand ratio, proppant concentration and discharge displacement in fracturing construction are collected respectively, then normalization processing is carried out, and a training set and a verification set are divided; inputting the training set into a deep autoregression model for training, and then verifying by using the verification set to obtain predicted time sequence data of oil pressure and casing pressure; and based on the predicted time sequence data of the oil pressure and the casing pressure, judging whether sand blockage occurs or not by using an inverse slope method. The method has the advantages that oil pressure data and casing pressure data which are most sensitive to sand plugging are analyzed and calculated, multivariate time series prediction is carried out through the deep autoregression model, the numerical values of the oil pressure and the casing pressure are predicted respectively, and early warning is carried out on sand plugging through the reverse slope method. By combining the neural network and the reverse slope method, the early warning effect on sand blockage can be greatly improved.

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

The invention discloses a system and method for cracking a coal rock stratum through liquid nitrogen and water jet circulation impact. The system comprises a water jet impact system, a liquid nitrogen impact system and a pressure detection system, the main acting object of the system is coal rock stratum drilling, and coal rock is destroyed through low-temperature liquid nitrogen fracturing and water jet strong erosion. In the water jet impact drilling process, residues in a drilled hole can be brought out, a coal body is eroded, a crushing pit is formed, cross cracks are formed around the crushing pit, and a gas migration channel is reconstructed. The cold impact and thermal impact of the low-temperature liquid nitrogen can effectively improve the pore and fracture structure of the coal body, promote the development of cracks formed by water jet impact, and influence the permeability of the coal rock layer. And the water and the ice cyclically impact and supplement each other, so that water in pores is subjected to'water-ice 'two-phase transformation, the damage condition of the coal seam is further enhanced, the pores and cracks in the coal seam are extended, and the situation that' 1 + 1 > 2 'occurs.

The invention provides a sandstone type uranium ore prospecting method based on a tectonic unit boundary, and the method comprises the steps: obtaining the geological data of a sedimentary basin, determining the spatial distribution and the tectonic and stratum characteristics of tectonic units in the sedimentary basin, and determining the types of beneficial metallogenic tectonic units according to the spatial distribution and the tectonic and stratum characteristics of the tectonic units; and determining a first-level exploration target region of the sandstone type uranium mine by combining the gravity data and / or seismic data and / or oil and gas bearing conditions of the favorable metallogenic structure units for different types of favorable metallogenic structure units. According to the method, on the basis of deep analysis of uranium-controlled metallogenic characteristics of the tectonic unit boundary, the upheaval and fracture of the tectonic unit boundary are taken as important marks for prospecting, and geological and geophysical prospecting methods are combined, so that a novel efficient and low-cost prospecting method is formed, an optimal target of a sandstone type uranium ore prospecting area can be accurately locked, and the prospecting efficiency of the sandstone type uranium ore prospecting area is improved. The blindness in the prospecting process can be obviously reduced, and the exploration efficiency is improved.

The invention provides a prospecting exploration method for ion adsorption type rare earth ore, and belongs to the technical field of geological mineral exploration, and the prospecting exploration method comprises the following steps: delineating an ore-forming mother rock area in a working area according to the existing ore points of the ion adsorption type rare earth ore in the working area and in combination with a geochemical exploration abnormal area; delineating a favorable metallogenic landform area in the working area through a GIS space analysis technology; carrying out superposition analysis on the ore-forming mother rock area and the favorable ore-forming landform area, and determining a favorable ore-forming prospective area in the working area through comparison; collecting a sample in the metallogenic distant view area, and verifying whether mineralization abnormity exists in the metallogenic distant view area or not by using a rare earth ion leaching-titration precipitation method; and in an area with mineralization abnormity in the metallogenic distant view area, exploration and evaluation are carried out by arranging Gannan drills in the metallogenic distant view area, the resource quantity of the metallogenic distant view area is calculated, and the prospecting exploration range of the ion adsorption type rare earth ore is determined. According to the method, the metallogenic prospective area can be rapidly delineated in a large range, the working range is reduced, and the efficiency of exploration work is improved.

The invention discloses a comprehensive prediction method for a natural hydrogen reservoir-forming potential area. The method comprises the steps of data collection and analysis, natural hydrogen geochemical survey and natural hydrogen geophysical survey. The beneficial effects of the method are that through integration of multi-dimensional data and data such as geology, remote sensing, geochemistry, geophysics and the like, a favorable area and a potential reservoir forming area of natural hydrogen can be revealed by using a comprehensive method. Through the comprehensive data application analysis, the one-sidedness of a single data source is avoided, and the accuracy of judging the natural hydrogen accumulation potential area is greatly improved. And a solid basis is provided for determining natural hydrogen source rocks and migration channels, so that a favorable area in which natural hydrogen exists is locked more accurately.

A deep learning-based rock microcrack identification and detection method belongs to the technical field of rock microcrack detection and identification in geological resources and geological engineering, and greatly improves the detection precision of rock microcracks by integrating a multi-scale feature pre-extraction module (MFP), an encoder space cascade coding path (ESCE) and a decoder input SE module. The conditions of false detection and missing detection are reduced, and the precision and the stability of micro-crack detection in the rock are remarkably improved. According to the method, through a reasonably designed network structure, the calculation amount of the network is reduced, the detection process is made to be more lightweight, and the method is suitable for rapid processing and real-time application of a large-scale data set. According to the method, the requirement for manual participation is greatly reduced, automatic detection and classification of the microcracks in the rock are achieved through the deep learning algorithm, the reliability and efficiency of rock integrity and mechanical property evaluation are improved, and the method has wide geological engineering application prospects.

The invention discloses a coal measure stratum hard coal rock composite structure modifying and cracking system and method. The system comprises a cracking device arranged in a directional drill hole extending into a cracking area, a high-pressure pump and a hydraulic pump, wherein the high-pressure pump and the hydraulic pump are arranged in a coal seam roadway and inject a high-pressure cracking agent into the cracking device. The method comprises the following steps: 1, determining the position of a modified cracking area of the overlying strata of the coal seam; 2, determining drilling parameters; 3, obtaining a directional drill hole; fourthly, a fracturing device is installed, and the hole is sealed; 5, calculating the fracture pressure of the rock stratum and carrying out primary water fracturing; 6, liquid nitrogen reinforced cracking of the rock mass; and 7, judging whether the coal measure stratum hard coal rock composite structure modification cracking effect is achieved or not. On the basis of hydraulic fracturing, liquid nitrogen fracturing and mechanical auxiliary fracturing are introduced and ingeniously combined, meanwhile, the fracturing means can be autonomously adjusted according to different working conditions, the hard roof fracturing modes are enriched, the method has the advantages of being small in engineering amount, low in pollution, high in safety and high in working efficiency, and the cracking effect is enhanced.

The invention relates to the technical field of sampling devices, in particular to a geological mineral exploration sampling device. A geological mineral exploration sampling device comprises a liftable feeding table and a feeding arm passing through a rotating motor, a drill pipe driving and clamping component is installed on the feeding table, a main drill pipe is installed on the drill pipe driving and clamping component, a set of splicing pipes which can be sequentially connected in a threaded mode are installed on the upper portion of the main drill pipe in a threaded mode, a sampling drill bit is fixedly installed at the bottom end of the main drill pipe, a sampling flow channel with the two ends open is fixedly formed in the sampling drill bit, and a linear transmission module is installed on the feeding arm. The device has the beneficial effects that when the device works, on one hand, multi-depth, large-depth and variable-depth sampling can be carried out, on the other hand, segmented cutting and segmented hoisting of a whole section of sample core can be realized on line during rock core sampling, and meanwhile, when the sample core is moved out, the sampling efficiency is greatly improved. And the segmentation and anti-adhesion effects of every two sample cores can be improved in a differential rotating twist-off manner.

The invention discloses a deep shale brittleness evaluation method based on energy evolution, electronic equipment and a medium. The method comprises the following steps: collecting basic parameters of a target stratum, and determining key parameters; carrying out a total stress-strain triaxial compression experiment according to the key parameters to obtain a total stress-strain curve of the rock core; dividing the total stress-strain curve, and respectively calculating the strain energy density related to the rock; and calculating the mineral brittleness index of the rock according to the key parameters and the strain energy density. According to the method, mineral components and energy evolution in the whole rock deformation-damage process are considered at the same time, and the brittleness characteristics of deep shale can be better reflected.