102 results about "Outcrop" patented technology

The invention discloses a geological multi-scale data hierarchical retrieval method and electronic equipment, and belongs to the technical field of geological data management and retrieval, and the geological multi-scale data hierarchical retrieval method comprises the following steps: S1, constructing a multi-scale data system, namely a three-level data structure system of a digital outcrop model, a rock specimen and a rock sample; s2, establishing an association mechanism among the three-level data structure systems, digital outcrop model-rock specimen association and rock specimen-rock sample association are carried out; and S3, performing multi-scale data hierarchy retrieval by adopting bidirectional association retrieval and feature retrieval. The digital outcrop-rock sample-rock sample association retrieval method has the advantages that the digital outcrop-rock sample-rock sample association retrieval efficiency is improved, the multi-dimensional retrieval capability is achieved, multi-class feature combination query, lithology + era + components and the like are supported, and seamless connection of macroscopic-mesoscopic-microscopic data can be realized; a bidirectional traceable chain is established, and data traceability is complete.

The invention discloses an altered rock mass engineering geologic feature rapid identification method, and belongs to the technical field of engineering rock mass identification. Comprising the steps of obtaining topographic data of a rock mass feature region to be recognized, obtaining an earth surface plane model by fitting the topographic data, and generating a three-dimensional route based on the obtained earth surface plane model; controlling the unmanned aerial vehicle to fly close to the surface of the rock mass through the three-dimensional route, and shooting an image according to a preset position; performing data preprocessing on the shot image, performing image segmentation on the preprocessed image, and constructing a structural plane occurrence data set; and performing data processing based on the structural plane occurrence data set, and obtaining a rock mass feature recognition result through an FCM-WOA algorithm of structural plane occurrence automatic clustering and grouping. According to the method, the normal vector robust estimation method is optimized to improve the region growth efficiency and accuracy of the rock mass structural plane, the region growth algorithm is improved to optimize the initial structural plane recognition result, and the rock mass structural plane is quickly and accurately recognized from mass point cloud data of the rock mass outcrop.

The invention relates to a construction method, device, equipment and medium of a complex geological reservoir model, and relates to the technical field of oil exploration and development. Comprising the following steps: combining obtained riverway scale parameter data obtained by field actual measurement, a three-dimensional digital outcrop profile of an outcrop profile of a research area, a geological knowledge database of configuration units at all levels of a sub-facies reservoir of the research area, and sedimentary microfacies distribution of the outcrop profile of the research area obtained by combining the riverway scale parameter data to obtain X, Y, Z, Z, Z and Z; performing two-dimensional training image slicing in three directions of Z and Z; and performing three-dimensional training image simulation on the two-dimensional training image slices by using an s2Dcd-DS coupling algorithm, and performing three-dimensional geological modeling by using a multi-point geostatistics modeling algorithm to obtain a three-dimensional geological model. According to the construction method provided by the invention, the complex geological conditions and structural characteristics of the complex geological reservoir such as the plains of the braided river delta can be effectively represented, and oil and gas distribution, well location deployment and remaining oil excavation of the braided river reservoir can be guided.

The invention belongs to the technical field of geologic structure interpretation and modeling, and particularly relates to a multi-data fusion seismic interpretation and geologic modeling method for a complex structural zone. The invention discloses a multi-data fusion seismic interpretation and geologic modeling method for a complex tectonic zone. The method comprises the following steps: observing and judging formation and fault development characteristics in a work area through an earth surface outcrop fault; interpreting a stratigraphic dip angle by adopting imaging logging to identify a fault; using 3D-VSP data to enhance seismic imaging and identify faults; a low-angle fault is recognized through conventional logging interpretation; identifying a velocity abrupt change interface by adopting a seismic velocity spectrum to determine a fault; through fault comprehensive judgment identified by different data and methods, the fault position is determined, and a geological structure mode of a research work area is constructed. According to the method, through fusion interpretation, fault position identification, seismic interpretation and geologic structure modeling of various data such as outcrop, logging data, seismic data and velocity field, the accuracy of geologic structure modeling can be improved, the success rate of oil-gas exploration is improved, and meanwhile, the cost is saved.

The invention discloses a method for determining a favorable seismic wave excitation part of seismic exploration by using electrical exploration, which belongs to the technical field of seismic exploration, and comprises the following steps of: 1, deploying an electrical exploration survey line; step 2, field data acquisition of electrical method data; 3, electrical method data processing and inversion imaging are carried out; 4, determining a resistivity threshold value of favorable-more favorable earthquake excitation; 5, circling a candidate favorable-more favorable seismic wave excitation section on a resistivity profile or plane distribution result; and step 6, optimizing shot point deployment in the candidate favorable-more favorable seismic excitation section. The method can solve the problem of selection of a favorable seismic wave excitation part in a complex surface lithology exposure area, and greatly improves the seismic exploration imaging quality and exploration precision. Meanwhile, due to the fact that shot point distribution is required to have certain uniformity, large notches on a seismic section are prevented.

The invention relates to a convection type geothermal resource exploration method and relates to the technical field of geothermal exploration, the convection type geothermal resource exploration method utilizes comprehensive means such as unmanned aerial vehicle flight, geological survey and geophysical prospecting, comprehensive exploration is realized according to a specific process and a technical route, and the exploration accuracy is improved. An inversion processing method is utilized to construct an integration of accurately depicting the exploration method, so that the defect of single exploration in the prior art is overcome, a comprehensive exploration mode is formed from a shallow part to a deep part, from a point to a surface and from a plane to a three-dimensional part, and the convection type geothermal resource distribution condition is more accurately judged. The method is clear in principle, feasible in technology, capable of rapidly and accurately delineating the favorable optimal well position in the bedrock exposure area, suitable for optimal well position positioning and resource quantity evaluation of the convection type geothermal system controlled by a structure, and wide in application range.

The application provides a method for grading the quality of altered rock mass of underground tunnels, and relates to the technical field of rock mass grading. The method comprises the following steps: obtaining the Q value of the rock mass through the Q system grading method; defining the first index corresponding to the alteration degree, the second index corresponding to the position relationship between the altered rock mass and the tunnel, and the third index corresponding to the groundwater outcrop condition; calculating the product of the first index, the second index, the third index and the Q value to obtain the corrected Q value; and grading the quality of the altered rock mass according to the corrected Q value. In this way, the alteration degree of the altered rock mass, the position relationship between the altered rock mass and the tunnel, and the influence of the groundwater on the altered rock mass are all taken into account, so that the grading of the altered rock mass according to the corrected Q value is more accurate, and the problem of deviation in the grading of the altered rock mass according to the existing Q system grading method is solved. The application is suitable for grading the quality of altered rock mass of underground tunnels.

The application discloses a coal seam water inrush danger monitoring method and system based on repeated disturbance in an ecological fragile area, and relates to the technical field of mine water disaster prevention and control. The method comprises the following steps: comprehensively determining engineering geological conditions according to the vertical depth of the wind oxidation zone and the coal seam characteristic parameters; performing numerical simulation by using a numerical model; based on the positions of the fan lanes of the coal seam working faces in the mine field exploration line graph, determining the water prevention and isolation coal rock pillar setting under repeated disturbance of the coal seam working face near the ecological fragile area coal seam hidden outcrop by using the development heights of the two zones and the height inhibition coefficients of the wind oxidation zone two zones when the coal seam working faces are mined for different lengths, and monitoring the water inrush danger of the working face according to the roof failure characteristics of each working face in the regional roadway. The application can realize real-time and accurate water inrush danger monitoring of the working face near the coal seam hidden outcrop.

The invention belongs to the technical field of sedimentary geology research, and discloses a quantitative sedimentary rock classification evaluation method and system based on biological disturbance. The method comprises the following steps: acquiring a high-resolution image of a unit area of a field outcrop or core sample; identifying a relics fossil or a biological disturbance area in the high-resolution image, and obtaining a biological disturbance quantity percentage of the high-resolution image by using a unit grid method; identifying the belonging number of the relics fossils in the high-resolution image; measuring to obtain the diving hole diameter of each relics fossil, and obtaining the diving hole diameter of the maximum relics fossil; obtaining the natural layer thickness of the field outcrop or rock core sample and the average particle size of the surrounding rock; calculating to obtain a biological disturbance coefficient; and based on the biological disturbance coefficient of the field outcrop or rock core sample, evaluating to obtain a classification evaluation result of the sedimentary rock. When a researcher performs classification evaluation on the same or similar sedimentary rock samples, a relatively consistent result can be obtained, and the repeatability and comparability of evaluation are enhanced.

This invention discloses a method for predicting the volume of fracturing fluid in shale oil, comprising the following steps: Step 1, processing downhole rock samples or outcrops from the same stratum of the shale oil reservoir into standard cores, testing the microstructure of the standard rock samples, obtaining the pore parameters of the standard cores, and conducting wetting contact angle tests; Step 2, conducting spontaneous absorption experiments on the standard cores and calculating the field-scale absorption area; Step 3, establishing a multi-scale pore absorption model based on the rock microstructure and the characteristic parameters obtained from the spontaneous absorption experiments, and calculating the absorption volume using the multi-scale pore absorption model. This invention can achieve quantitative calculation of the volumetric fracturing absorption volume in shale oil horizontal wells.

The embodiment of the invention discloses a method and a device for characterizing a microbial beach deposition configuration, electronic equipment and a medium. The method comprises the following steps: carrying out grading treatment on microbial beach deposition configuration, determining deposition configuration characteristics and configuration unit identification marks of different grades of microbial beach deposition configuration units, and carrying out outcrop interpretation and single well interpretation; the three-dimensional seismic data and the logging data are utilized to determine the superposition pattern and the superposition characteristic of the microbial hillock beach sedimentary configuration unit; the method comprises the following steps: analyzing evolution characteristics of a microbial hillock beach sedimentary configuration according to sedimentary configuration characteristics and superposition characteristics obtained according to field geological outcrop data, three-dimensional seismic data and logging data in combination with sedimentary forward numerical simulation, and establishing a corresponding sedimentary configuration mode; by adopting the scheme, the geological basis is provided for characterization of high-quality reservoirs and connected units by analogy of field geological outcrops, recognition of the microbial hillock beach sedimentary configuration units, summarization of the stacking pattern of the sedimentary configuration units and description of sedimentary evolution characteristics.

The application discloses a surveying-based binary structure small watershed division method and system, and particularly relates to the field of watershed division. Basic data processing of the application includes collecting and preprocessing topography, remote sensing and other data, establishing a basic database, converting vector contour line data into DEM and filling in depressions, generating a non-depression DEM, determining water flow direction by using a D8 algorithm, calculating cumulative flow, and generating a river network. The river channel is converted into a vector runoff network, the sub-watershed range is extracted and mapped, the outcrop point of underground river or karst spring is taken as a corrosion reference, the watershed outlet is determined in combination with the main river channel of a large river, and a complete correlation system is constructed. Finally, the development of the underground water system pipeline is determined through hydrogeological investigation, geophysical prospecting, drilling and pumping test, the results of comprehensive investigation, geophysical prospecting, drilling and pumping test are comprehensively considered to accurately correct the boundary of the underground water system, and the underground water system distribution map conforming to the actual conditions is formed in combination with remote sensing images and administrative division maps.

The invention belongs to the field of geological sedimentology, and particularly relates to a storm cause high-quality lithofacies identification method based on multi-source data comprehensive identification, which comprises the following steps of: A, data acquisition and preprocessing: S1, data acquisition and confirmation: automatically identifying the characteristics similar to a Baomah sequence in a rock core by using a convolutional neural network (CNN) according to the rock core, a field outcrop, a logging curve and logging data; outputting storm deposition sample information; s2, performing automatic lithofacies classification on the rock core image by adopting deep learning (U-Net) in combination with a sedimentary structure; and S3, automatically identifying curve characteristics of a'box-shaped '(storm dam main body) and'bell-shaped and finger-shaped' (storm dam side edge) by adopting time sequence analysis (LSTM or Transformer). According to the method, the high-quality lithofacies recognition model is established by integrating multivariate data, the recognition precision and efficiency are greatly improved, and a scientific basis is provided for oil and gas reservoir evaluation in a storm sedimentary environment.

The invention provides a non-contact measurement method and system for the internal average opening degree of a high-position dangerous rock mass crack, and the method comprises the steps: carrying out the preliminary recognition of a dangerous rock mass through photographing equipment, and obtaining a preliminary recognition result; based on the preliminary recognition result, detonators are hoisted at the same height of the dangerous rock body, the explosive loading amount and the detonating distance are controlled, and the detonators are detonated; performing system identification on the dynamic normal stress time travel curve and the relative normal vibration speed time travel curve, and calculating the equivalent dynamic stiffness of the tension fracture under the dynamic load; and based on the equivalent dynamic stiffness, the initial average open degree of the outcrop and a fracture stiffness-open degree relation model calibrated through an indoor test, the internal average open degree of the high-position dangerous rock mass fracture is obtained through inversion. Through a non-contact measurement-model intelligent inversion technology chain, efficient and accurate measurement of the fracture opening of the dangerous rock mass is realized, and an innovative solution is provided for geological disaster prevention and control.

This application provides a method, apparatus, equipment, and storage medium for intelligent identification and extraction of rock mass structural surfaces on open-pit mine slopes, relating to the field of rock mass surface feature recognition technology. The method includes: acquiring a high-precision three-dimensional geological outcrop model; performing two-dimensional projection on different areas of the model and annotating the structural surface contours, training a semantic segmentation model; using the trained model to identify the target slope projection image and obtain two-dimensional structural surface recognition results; mapping the two-dimensional structural surface traces back to the three-dimensional model based on projection parameters to obtain three-dimensional spatial structural surfaces; cleaning and merging the three-dimensional structural surfaces, removing skew or distorted structural surfaces, merging coplanar structural surfaces, and calculating the structural surface normal vectors to obtain dip, dip angle, and other attitude information. This application solves the problems of low efficiency, high risk, and reliance on manual experience in traditional measurement methods, realizing automated, batch, and high-precision extraction of rock mass structural surfaces on open-pit mine slopes.

The application discloses a kind of seismic facies drive deep carbonate high-precision sedimentary microfacies recovery methods, comprising: basic data collection;Well-seismic calibration;Establish regional isochronous sequence stratigraphic framework;Logging interpretation;Sequence framework within sedimentary facies division: seismic facies division;Establish seismic facies-sedimentary facies conversion relationship;Isochronous sequence stratigraphic framework within division strata slice;Optimization seismic attribute;Establish single factor sedimentary index-seismic attribute relationship;Attribute volume isochronous strata slice;Seismic facies-sedimentary facies under the constraint of high-precision isochronous sedimentary microfacies drawing.The application can accurately predict sequence within sedimentary facies belt boundary by establishing sedimentation-seismic correlation under the condition of less drilling, outcrop;Further optimization can reflect the seismic attribute of sedimentary characteristics, calculate isochronous strata slice;Isochronous sedimentary facies map is obtained by attribute-sedimentary correlation conversion.In practical application, good effect is obtained, and the coincidence rate with actual drilling is high.

The invention provides a copper mine target area prediction method and system based on multi-source information data analysis, and relates to the technical field of computers.The method comprises the steps that firstly, multi-source copper mine related basic information such as earth surface rock outcrop records, soil element content data, area gravity observation data, remote sensing image feature data and geologic structure surveying and mapping data of a target area is collected; performing clue traceability mapping processing on the multi-source basic information to generate a plurality of groups of traceability clue sets; then performing space-time coupling networking processing on the multiple groups of traceability clue sets to construct a dynamic coupling clue network; performing signal resonance strengthening processing on the dynamic coupling clue network to generate a resonance strengthening network; and finally, target region convergence defining processing is executed based on the resonance strengthening network to generate a copper mine target region prediction result, the mineralization potential region range is gradually reduced, the generated copper mine target region prediction result of the target region has higher accuracy and reliability, copper mine exploration work can be effectively guided, the exploration efficiency and success rate are improved, and the exploration cost is reduced.

The application discloses a front land basin surface outcrop three-dimensional geological modeling method, system and device, which comprises the following steps: superimposing research area surface elevation data and a geological map, stereoscopically displaying the geological map and matching the actual surface outcrop stratum; establishing a research area surface outcrop stratum information comprehensive table by combining the geological map through field outcrop geological investigation; superimposing a two-dimensional seismic profile and a three-dimensional geological map, cutting to obtain a modeling range, performing surface layer interpretation according to the research area surface outcrop stratum information comprehensive table, and establishing a shallow geological structure model; calibrating a layer according to research area drilling data, establishing an underground deep geological structure model; and performing three-dimensional space structure modeling according to a geological map and field investigation understanding through computer three-dimensional reconstruction technology in a region without seismic data, and establishing a surface outcrop three-dimensional structure geological model. The application has low operation cost, controllable modeling time, high rationality and reliability of the model, and saves exploration cost.

The invention relates to the technical field of hydrocarbon source rock thermal evolution history reconstruction, in particular to a hydrocarbon source rock thermal evolution history reconstruction method, device, equipment, medium and product, and the method comprises the steps: obtaining thermal evolution parameters of a hydrocarbon source rock sample of a target layer, and constructing a thermal history model of the target layer; obtaining geological data of a target stratum, and establishing a burial history model of the target stratum; based on the thermal history model of the target stratum and the burial history model, carrying out constraint, and reconstructing a hydrocarbon source rock thermal evolution history; the accuracy and the reliability of the field outcrop reconstruction hydrocarbon source rock organic matter thermal evolution history can be improved.

The invention discloses a sea surface height inspection equipment layout method based on an interference imaging altimeter, which belongs to the technical field of altimeter inspection, is used for sea surface height inspection equipment layout, and comprises the following steps: obtaining position data of a Glider buoy and temperature-salinity-depth data of a profile observed by the Glider buoy, putting the Glider buoy and a GNSS buoy in the same area at the same time before a satellite passes, and putting the GNSS buoy in the same area at the same time; the synchronous observation of the GNSS and the Glider buoy is realized; and carrying out position positioning when the Glider buoy descends and ascends to outcrop, carrying out matching with a grid position in a swath range observed by a satellite, and carrying out sea surface height inversion according to temperature-salinity-depth data of a section obtained through observation of the Glider buoy. The method adapts to data characteristics of different resolutions of the interference imaging altimeter, sea surface height synchronous observation of satellite data with different spatial resolutions under satellite transit is realized, and calibration inspection of the altimeter satellite is accurately completed.

The present application relates to the field of basin forming dynamics and oil exploration technology, in particular to a method for structure-multiple attribute tectonic palaeogeographic reconstruction of deep buried area of superimposed basin, establishing outcrop area and drilling stratum sequence framework and sedimentary facies model; determining vertical structure-stratigraphic unit of deep buried area of superimposed basin; determining spatial distribution of unconformity structure of deep buried area under single tectonic movement; determining main palaeoactive fault and magmatic activity of deep buried area; identifying and determining spatial distribution of seismic stratigraphic characteristics and attributes in single structure-stratigraphic unit; reconstructing tectonic palaeogeography of deep buried area of superimposed basin under single tectonic movement, using outcrop data, drilling and logging data, etc. to carry out comprehensive geology and geophysical analysis, using basin structure and geophysical multiple attributes in different periods to restore tectonic palaeogeography of deep buried area, and providing scientific, reliable and high-precision evidence for cognition and resource exploration of deep and ultra-deep layers under the double conditions of mutual constraint of palaeostructure and palaeogeography.

The present invention provides a method and system for automatically identifying linear structural surfaces in complex rock outcrops, belonging to the field of rock engineering. The method involves using a DeepLabV3+ model to semantically segment the input image of a rock outcrop, outputting a binary mask of structural surface trace pixels and performing topological reconstruction; establishing a mapping relationship between the image coordinate system and a three-dimensional point cloud; calculating the spatial angle between the direction vector of the trace and the average attitude of the structural surface group; classifying the three-dimensional point cloud data by structural surface group based on an angle threshold; and extracting three-dimensional line segments using an improved iterative Hough transform algorithm. Finally, a greedy algorithm is used to implement global multi-segment connectivity and trace length calculation for discrete line segments. This method overcomes the topographical limitations of manual measurement when obtaining rock structural surface data, improving the accuracy and efficiency of structural surface extraction in complex rock masses.

The invention provides a construction tunnel surrounding rock stability prediction method and system, and relates to the technical field of tunnel engineering, and the method comprises the steps: obtaining the three-dimensional point cloud data of a tunnel face rock mass outcrop, and detecting a surrounding rock hidden structure through a geological radar; constructing three-dimensional point cloud data of the concealed structure and aligning the three-dimensional point cloud data with coordinates of the rock mass outcrop point cloud data; calculating the distance from the concealed structure to the tunnel face, and screening out high-risk concealed structure points; establishing a spherical influence area by taking the high-risk hidden structure point as a center, and extracting a rock mass outcrop point in the area as a high-risk surface monitoring point; stress testing is carried out on the monitoring points, and displacement meter sensors are arranged to obtain deformation data; collecting a rock sample to obtain geological strength data, and calculating a surrounding rock damage energy index; estimating a surrounding rock damage energy index and stress of the high-risk hidden structure point through a spatial interpolation method; and calculating the stability coefficient of the surrounding rock by combining the two, grading the stability of the surrounding rock, and formulating corresponding response measures. The tunnel surrounding rock stability can be effectively predicted.

The application discloses an evaluation method for estimating the size of a karst fracture-cave carbonate reservoir cave body by using a broken zone width, and relates to the technical field of oil and gas field exploration and development. The application uses outcrop data of a research area as the core of fine characterization of fracture-cave body size research, dissects the internal structure and formation mechanism of the fracture-cave body, establishes the correlation between the broken zone and the cave body, calculates the height of the cave body, thereby determining the height of the fracture-cave body, establishes the correlation between the seismic fracture-cave sculpture body and the height of the fracture-cave body, determines the correction coefficient or correction formula of the seismic fracture-cave sculpture body, corrects the seismic fracture-cave sculpture body, and finally accurately depicts the position, scale and spatial distribution of the fracture-cave body, thereby providing a geological basis for efficient exploration and development of the fracture-cave type carbonate rock oil and gas reservoir.

The invention discloses a rock and outcrop cross-scale association method and system based on multi-modal data, and belongs to the technical field of three-dimensional data platforms and geological learning, and the method comprises the following steps: S1, carrying out the geological outcrop data collection and geological outcrop modeling, and obtaining a three-dimensional geological outcrop model, meanwhile, rock specimen basic data, rock specimen analysis and test data and rock specimen explanation information are collected to obtain multi-modal data; and S2, managing the multi-modal data by adopting a database and file management mode, and associating the rock specimen with the outcrop to obtain associated data. By managing the multi-modal data, the defect that the expression mode is single is overcome, and fusion and integration of the multi-modal data are achieved; through a rock and outcrop association mechanism, the defects of an existing system in the aspect of data association are overcome.

The application discloses a geological multi-scale data hierarchical retrieval method and electronic equipment, and belongs to the technical field of geological data management and retrieval, and comprises the following steps: S1, a multi-scale data system, namely, a three-level data structure system of a digital outcrop model, a rock sample and a rock sample, is constructed; S2, an association mechanism between the three-level data structure system is established, and the association mechanism comprises the following: digital outcrop model-rock sample association and rock sample-rock sample association; and S3, bidirectional association retrieval and feature retrieval are adopted to perform multi-scale data hierarchical retrieval. The efficiency of digital outcrop-rock sample-rock sample association retrieval is improved, the multi-dimensional retrieval capability is possessed, multi-class feature combination query is supported, lithology + era + composition and the like, seamless connection of macroscopic-mesoscopic-microscopic data can be realized, a bidirectional traceable chain is established, and data tracing is complete.

The invention relates to the field of detection and analysis, in particular to a geological structure complex region coal seam analysis method, which comprises the following steps of: firstly, drawing a geological map based on seismic exploration, drilling and geological outcrop data, calculating a structure complexity evaluation value, and dividing a region into light / medium / heavy feature type regions; secondly, acquiring an apparent resistivity root-mean-square error and a fracture index weighted value by adopting a first logging method aiming at the severe area, and judging the continuous damage degree of the coal seam; the medium area is preliminarily evaluated through a second logging method, and when the standard is not met, a third logging method is introduced to calculate a verification value for secondary verification; the light area focuses on ground geological survey and geophysical and geochemical exploration scanning. And finally, integrating multi-stage exploration results to construct a three-dimensional geologic model, and intuitively presenting coal seam distribution and tectonic variation characteristics. According to the method, the accuracy of coal seam analysis and the scientificity of development decision under complex geological conditions are improved through a partition adaptation exploration strategy, a dynamic verification mechanism and three-dimensional visual modeling.

The invention provides a naming method for salt lake mixed rock. The naming method comprises the following steps: carrying out rock division by using terrestrial clastic particles, carbonate particles and miscellaneous bases; using 50% as a boundary to distinguish siltstone and limestone; according to a sedimentary structure, the land-derived debris particle component is divided into a stratified structure, a blocky structure, a deformed structure and a wave-formed staggered bedding, siltstone is taken as a basic name when the land-derived debris particle component is larger than 50%, silty sand is taken as a basic name when the land-derived debris particle component is 25%-50%, and silty sand is taken as a basic name when the land-derived debris particle component is 15%-25%; dividing the lithofacies by taking the component characteristics and sedimentary structure characteristics of the rock as a division basis according to the conditions of the rock core and the slice; salt lake lithofacies are divided into three major classes, namely siltstone facies, granular limestone facies and marlstone facies, and are subdivided into ten lithofacies subclasses. The method provides a standardized new thought for lithofacies division in a salt lake deposition system, a standard reference is provided for lithofacies naming through outcrop observation, and a lithofacies division standard is formulated according to the scheme according to the deposition structure, the component content and the like.

The present application provides a drilling temperature and hydrocarbon accumulation period prediction method and a drilling temperature prediction device, and solves the problem of temperature prediction deviation in actual exploration and production. The drilling temperature prediction method comprises: judging whether the shallow clastic rock layer system of the study area has drilling data; if yes, obtaining the rock thermal conductivity data of the clastic rock based on the drilling data; if no, obtaining the rock thermal conductivity data under different porosity conditions after the change with the burial depth based on the rock thermal conductivity data measured by the outcrop of the study area; collecting the field or drilling samples corresponding to the formation of the study area, and determining the rock thermal conductivity data of the deep carbonate rock formation for the field or drilling samples; establishing a rock thermal conductivity model of the study area based on the rock thermal conductivity of the clastic rock, the rock thermal conductivity data under different porosity conditions after the change with the burial depth, and the rock thermal conductivity data of the deep carbonate rock formation; and obtaining the formation temperature of the drilling based on the rock thermal conductivity model of the study area to predict the drilling temperature.

This invention relates to a method for quantitatively evaluating the degree of water intrusion in a gas reservoir, comprising the following steps: identifying the geological structure and reservoir physical properties of the water-intruded gas reservoir; collecting outcrop samples from the corresponding target reservoir; deploying monitoring sensors at key points of the simulated samples; encapsulating the protective layer and pre-embedding the simulated injection wellbore, as well as prefabricating the gas reservoir injection well and production well; analyzing formation water saturation in the servo pump injection system; simulating gas injection and production under different operating conditions by setting true triaxial geostress conditions; comprehensively evaluating the quantitative assessment of the water edge by monitoring and collecting acoustic velocity, acoustic emission information, and wide-area electromagnetic signals during the gas injection and production process using pre-embedded sensors; and quantitatively evaluating the degree of water intrusion in the gas reservoir under long-term dynamic injection-production alternation using the above data. This invention can be used for the quantitative evaluation of the degree of water intrusion in gas reservoirs under long-term dynamic injection-production alternation, providing technical support for optimizing the injection-production system of depleted gas reservoirs.