27 results about "Metamorphic rock" patented technology

A method for evaluating geological hydrogen source rock in a region is provided. The method includes: collecting magnetic susceptibility data from a plurality of subsurface locations in the region; receiving geophysical survey data of the region, wherein the geophysical survey data comprises geophysical data collected from above ground; tying the magnetic susceptibility data of the plurality of subsurface locations to the geophysical survey data; generating a geologic map of igneous rock, metamorphic rock, or mafic mineral- or iron-rich sedimentary rock within the region based on the magnetic susceptibility data using a model; and determining, based on the geologic map, a target zone of the geological hydrogen source rock with a potential for hydrogen production or with the potential for hydrogen accumulation.

The invention belongs to the technical field of building materials. The invention provides a stone powder-based stone-like material. The stone powder-based stone-like material comprises a stone powder-based stone-like green body and a stone curing layer arranged on the surface of the green body, the stone powder-based stone-like green body comprises a core stone powder base material, functional mineral powder, a bonding modification system, a water reducing agent, water and a decorative aggregate; wherein the components in parts by mass are as follows: 50-70 parts of the core stone powder base material, 8-12 parts of the functional mineral powder, 12-15 parts of the bonding modification system and 0-1 part of the decorative aggregate; the water reducing agent accounts for 1-2% of the total mass of the core stone powder base material, the functional mineral powder and the bonding modification system, and the water accounts for 8-12% of the total mass of the core stone powder base material, the functional mineral powder and the bonding modification system. The stone powder-based stone-like material is based on metamorphic rock mineral raw materials and can simulate the characteristics of natural rock materials, so that the prepared material is remarkably superior to an existing stone-like material in the aspects of texture level, structural compactness and overall stone-like effect; and moreover, the solid waste utilization rate is high, and the process adaptability is high.

This invention discloses a method for accurate lithology identification and correction of logging data based on artificial neural networks, comprising the following steps: collecting logging data, laboratory test data, and regional geological background data of the target area from buried hills; preprocessing the collected logging data and laboratory test data to establish a correspondence between the logging data and laboratory test data, forming a dataset; constructing an artificial neural network model; training and optimizing the constructed artificial neural network model based on the dataset; inputting the logging data of the target well to be corrected into the trained artificial neural network model, outputting corrected mineral element content data; and, based on the corrected mineral element content data and combined with the regional geological background, achieving lithology classification and accurate identification of the target well. This invention uses the above method to convert logging data into laboratory-precision data, improving the accuracy of lithology identification under complex geological conditions such as Archean metamorphic buried hills.

The application discloses a kind of paragenetic metamorphic rock weathering crust weathering alteration index calculation method, comprising: the mass percentage of element of mud logging cuttings is determined;The mass percentage of element is normalized;The mass percentage of element after normalization is converted into oxide molar ratio;According to the change trend of element oxide molar ratio, the relative loss and relative enrichment trend of various elements in paragenetic metamorphic rock weathering crust is judged;According to the trend of element relative loss or enrichment, the easily soluble element and the element easy to remain are determined, and the new paragenetic metamorphic rock weathering crust weathering alteration index calculation formula is fitted;The molar ratio of element oxide is brought into the new calculation formula established, according to the size of the weathering alteration index value calculated, paragenetic metamorphic rock weathering crust is identified, and paragenetic metamorphic rock weathering crust structure is divided.The application provides important technical support for oil and gas basin paragenetic metamorphic rock weathering crust reservoir research.

The application discloses a kind of electrical parameter calculation methods of para-metamorphic rock weathering crust, comprising: reading the conventional logging curve data of the depth corresponding to para-metamorphic rock weathering alteration index;Logging curve data and para-metamorphic rock weathering alteration index data are fitted into linear relationship chart;According to the correlation of the linear relationship chart of fitting, select the logging curve with high sensitivity of para-metamorphic rock weathering crust identification;The logging curve data with high sensitivity of para-metamorphic rock weathering crust identification is normalized;Fitting para-metamorphic rock weathering crust electrical parameter calculation formula;The logging curve data after normalization is brought into formula to calculate and identify para-metamorphic rock weathering crust.The present application is based on the analysis of a large amount of logging curve data, establishes a new electrical parameter calculation model of para-metamorphic rock weathering crust, and proposes a new method for identifying para-metamorphic rock weathering crust.

A method for evaluating geological hydrogen source rock in a region is provided. The method includes: collecting magnetic susceptibility data from a plurality of subsurface locations in the region; receiving geophysical survey data of the region, wherein the geophysical survey data comprises geophysical data collected from above ground; tying the magnetic susceptibility data of the plurality of subsurface locations to the geophysical survey data; generating a geologic map of igneous rock, metamorphic rock, or mafic mineral-or iron-rich sedimentary rock within the region based on the magnetic susceptibility data using a model; and determining, based on the geologic map, a target zone of the geological hydrogen source rock with a potential for hydrogen production or with the potential for hydrogen accumulation.

A toe plate structure on a deformed rock mass, comprising a toe plate and a face plate, the toe plate comprising a toe plate upper disc and a toe plate lower disc which are mutually butted, and an anti-skid structure is arranged on the butting surface of the toe plate upper disc and the toe plate lower disc; the face plate is connected with the toe plate upper disc; and a water stop structure is arranged in a triangular area formed between the end surface of the toe plate upper disc away from the face plate and the top surface of the toe plate lower disc. Since the toe plate adopts the structure of the toe plate upper disc and the toe plate lower disc which are mutually butted, a split structure is formed, and an anti-skid structure is arranged on the butting surface, when the toe plate upper disc and the toe plate lower disc are deformed uncoordinatedly, if the force borne exceeds the friction between the toe plate upper disc and the toe plate lower disc, the toe plate upper disc and the toe plate lower disc will be dislocated to release the force generated by the uncoordinated deformation and reach a new balance state; if the force generated by the deformation of the toe plate lower disc is less than the friction between the toe plate upper disc and the toe plate lower disc, the toe plate upper disc and the toe plate lower disc will be relatively static, and the toe plate upper disc will continue to keep the supporting effect on the face plate.

The invention provides a metamorphic rock boron enrichment mechanism comprehensive investigation system based on a micro-area in-situ technology. The system comprises a sample target preparation and characterization module, a combined micro-area in-situ analysis module, a data integration and processing module and a space-time correlation and evolution sequence reconstruction module which are connected in sequence. The method comprises the following steps: establishing a uniform space coordinate system, and sequentially calling an electronic probe, a laser ablation mass spectrum, an ion probe and other micro-area analysis instruments to carry out collaborative analysis on the same sample target to obtain data of mineral components, trace elements, boron isotopes and zircon U-Pb-Hf isotopes. The system carries out automatic fusion and mineral generation intelligent identification on multi-source data, couples a geochemical model and a machine learning algorithm, constructs a boron element geochemical behavior evolution sequence model taking absolute time as an axis, and realizes quantitative description of the whole process of source, migration and enrichment of boron in an open system. According to the method, the systematicness and the accuracy of the study on the boron enrichment mechanism of the metamorphic rock are remarkably improved.

The invention discloses a reservoir high-quality lithology analysis method and system for metamorphic rock type bedrock, and relates to the technical field of oil and gas geological reservoir analysis, and the method is characterized in that a rock slice image of the metamorphic rock type bedrock collected under a single polarizing microscope is acquired; based on the rock slice image, identifying and classifying different lithologic reservoirs, and extracting secondary reservoir space features in each lithologic reservoir; based on the reservoir space characteristics, determining the total surface porosity and the effective reservoir space proportion of each lithologic reservoir; and comparing and judging the total surface porosity and the effective reservoir space ratio of each lithologic reservoir through the lithologic identification model to obtain an identification result of the high-quality lithologic characters of the reservoirs. According to the method, whether the lithology of various metamorphic bed rock reservoirs is high or not can be effectively and accurately judged, the reservoir performance of the metamorphic bed rock reservoirs with different lithology is converted into visual objective data, and the production and operation cost is effectively reduced.

This invention belongs to the field of geological and mineral survey technology, specifically involving a comprehensive survey system for the rubidium enrichment mechanism of metamorphic rocks based on micro-area in-situ technology. It includes a module for precise characterization of rubidium occurrence state through in-situ petrography, a module for multi-dimensional isotopic mass spectrometry combined with analysis, a module for quantitative inversion of rubidium migration and enrichment behavior, and a module for spatiotemporal coupling and mineralization prediction of multi-stage metamorphic events. These four modules adopt a dual-closed-loop coupling architecture. This invention achieves a significant improvement in spatial characterization accuracy and comprehensiveness, completely overcoming the limitations of existing two-dimensional characterization techniques. By establishing an X-Y-Z three-dimensional coordinate system through a three-dimensional spatial coordinate calibration unit, it achieves full-dimensional characterization of rubidium in the plane and depth directions of metamorphic rock samples. Combined with hierarchical chemical extraction and time-of-flight secondary ion mass spectrometry nanoscale surface scanning technology, it achieves for the first time precise decoupling of the three occurrence states of rubidium: lattice state, adsorption state, and fluid inclusion state, breaking through the technical bottleneck of traditional methods being unable to distinguish the occurrence states of rubidium.

The invention discloses a metamorphic rock buried hill while-drilling rapid layer clamping method and application thereof, and the method comprises the steps: analyzing a structure combination mode of an overlying paleo-system reservoir and a paleo-buried hill reservoir, and building a typical reservoir structure combination mode; carrying out screening and data dimension reduction processing on sensitive logging elements based on an LDA algorithm, and constructing a sample data set through core calibration logging; constructing a complex metamorphic rock buried hill lithology identification model based on an SSOM algorithm, and selecting a test sample to carry out model generalization performance verification; based on a sensitive logging element screening result and a prediction result of the complex metamorphic rock buried hill lithology identification model, constructing an ancient buried hill entering layer clamping plate; and guiding geophysical velocity correction and buried hill entering depth prediction of the development well based on the ancient buried hill entering clamping layer chart. According to the invention, rapid identification of complex lithology of buried mountains and overlying strata is effectively realized, and geophysical velocity correction and depth prediction of the top surface of the buried mountains are guided.

The embodiment of the invention discloses a metamorphic rock mineral content calculation method and device. The method comprises the following steps: acquiring historical element logging data and mineral content actual measurement data; performing deep matching on the historical element logging data and the mineral content actual measurement data, and constructing a training data set and a verification data set based on a matching result; performing model training on the machine learning model according to the training data set to obtain an initial mineral content prediction model; verifying the initial mineral content prediction model according to the verification data set, and determining a target mineral content prediction model according to a verification result; and obtaining element logging data of a to-be-predicted well, inputting the element logging data of the to-be-predicted well into the target mineral content prediction model for mineral content prediction, and obtaining a mineral content prediction value corresponding to the to-be-predicted well. Therefore, high-precision prediction of the mineral content is achieved, and the problems that a traditional inversion method based on empirical parameters and a volume model is poor in stability, poor in cross-well adaptability and the like are solved.

The invention discloses a metamorphic rock area crystalline graphite ore prospecting method and system, and the method comprises the following steps: S1, constructing a structure-mineral-mineralization dynamic adaptation model: dividing the structure type of a target area, and building the corresponding relation of the structure type-ore body occurrence position; according to the method, the graphite flake diameter and the graphitization degree are analyzed, and a mineral characteristic-mineralization stage-resource potential correlation model is established. According to the prospecting method and system for the crystalline graphite ore in the metamorphic rock area, geoelectric data can be collected in all directions and a three-dimensional ore body prediction model can be generated through the arranged prospecting system in cooperation with constraint of a structure-mineral-mineralization dynamic adaptation model, the extension direction, the scale and the occurrence state of a deep ore body are clearly described, and the prospecting efficiency is improved. The detection limitation of a traditional two-dimensional technology is effectively broken through, the hidden ore body missed judgment risk is greatly reduced, and accurate target area guidance is provided for subsequent drilling.

This invention relates to a method for predicting the height of a fault-sealed gas column using cross-sectional stress. Based on the principle that faults, regardless of their lithology, size, or burial depth, are always subject to pressure from the overlying strata and regional stress fields—meaning cross-sectional stress is universally present—this invention establishes a relationship between the magnitude of stress on the cross-section and the height of the hydrocarbon column it can seal. This allows for the prediction of the height of the fault-sealed oil and gas column in all lithological regions, particularly in igneous, metamorphic, and carbonate rock regions. This invention has broad applicability and can solve the problem of determining the height of a fault-sealed hydrocarbon column in special lithological regions.

The invention discloses a metamorphic rock brittleness index determination method and device, equipment and a medium. The method comprises the following steps: determining rock types contained in a rock sample to be measured by utilizing a preset logging curve, and obtaining lithologic mineral components and volume fractions corresponding to each rock type; establishing a rock physical model by using the lithologic mineral composition and the volume fraction; the Young modulus and the cedar ratio of the rock sample to be measured are determined through the rock physical model, and then the brittleness index of the target rock stratum is determined through the Young modulus and the cedar ratio. Through the technical scheme provided by the invention, the rock physical model based on the lithologic mineral cost and the volume fraction can be directly established, and the relationship among the logging time difference curve, the density curve and the rock brittleness is established, so that the brittleness index of the metamorphic rock buried hill is obtained, and the detection accuracy of the metamorphic rock buried hill is improved. The method has the advantages that the required data is less, the data admission cost is saved, and the calculation accuracy is higher.

The invention provides a deep positioning method and system for a variable-grained rock type niobium-tantalum-rare earth deposit, and relates to the technical field of geological exploration and deposit science. The method comprises the steps that rock samples are collected on the basis of delineation of a favorable mineralization area; carrying out petrology and geochemistry comprehensive analysis on the rock sample to obtain an analysis result; carrying out EBSD analysis on the rock sample to obtain a fluid migration dominant channel direction; based on the fluid migration dominant channel direction, reconstructing fluid evolution historical data controlled by the strain state; the analysis result and fluid evolution historical data are synthesized, and large-scale mineralization conditions caused by a structure-fluid coupling mechanism are determined; and on the basis of large-scale mineralization conditions, a tectonic deformation-fluid pulse-rich mineralization composite mineralization model is constructed, and a deep prospecting target area is delineated. According to the technical scheme, the positioning precision and the prospecting discovery success rate of the deep concealed ore body of the type of ore deposit are remarkably improved.

The application discloses a rock-based solidification method of radioactive waste, comprising the following steps: providing a powder of natural rock, the natural rock being a magmatic rock or a metamorphic rock; mixing the rock powder, an auxiliary agent and radioactive waste containing cesium and / or strontium to obtain a mixture, the auxiliary agent being selected from one or more of the group consisting of a dissolving agent and a mineralizing agent; and performing sintering treatment on the mixture at a temperature of 1000-1300 DEG C for 1-3 hours to obtain a solidification body. The method of the application uses widely available natural rock as a base material, and through the introduction of an auxiliary agent, the sintering process can be optimized or the structure of the solidification body can be improved, for example, the addition of a dissolving agent can reduce the sintering temperature to save energy, and the addition of a mineralizing agent can induce the generation of specific ceramic phases to improve the stability of the solidification body, and the effective fixation of radioactive waste containing cesium and / or strontium can be realized through a simple sintering process.

This invention provides a comprehensive investigation system for the boron enrichment mechanism of metamorphic rocks based on micro-area in-situ technology. The system comprises a sample target preparation and characterization module, a combined micro-area in-situ analysis module, a data integration and processing module, and a spatiotemporal correlation and evolutionary sequence reconstruction module, connected sequentially. By establishing a unified spatial coordinate system, multiple micro-area analysis instruments, such as electron probe microanalysis, laser ablation mass spectrometry, and ion probe microanalysis, are sequentially invoked to perform collaborative analysis on the same sample target, obtaining data on mineral composition, trace elements, boron isotopes, and zircon U-Pb-Hf isotopes. The system automatically fuses multi-source data and intelligently identifies mineral generations, and couples geochemical models with machine learning algorithms to construct an evolutionary sequence model of boron geochemical behavior with absolute time as the axis, achieving a quantitative characterization of the entire process of boron source, migration, and enrichment in an open system. This invention significantly improves the systematicness and accuracy of research on boron enrichment mechanisms in metamorphic rocks.

This invention discloses a method for monitoring overpressure in metamorphic buried hill reservoirs based on CCS-UCS, comprising: preprocessing drilling data; constructing a formation pressure monitoring model for drilling; constructing a real-time monitoring model for the triaxial compressive strength of the bottom hole rock; determining the segmented structure using CCS values; constructing linear regression analysis based on CCS segmented structure data and marking abnormally high-pressure segments; constructing a uniaxial compressive strength calculation model for the bottom hole rock, and obtaining real-time monitoring models for the normal pressure segment, abnormally high-pressure segment, and a series of uniaxial compressive strengths across the entire depth; combining the real-time uniaxial compressive strength monitoring model with the formation pressure monitoring model based on the minimum principal stress state of the bottom hole rock, and monitoring the formation pressure values ​​of the marked abnormally high-pressure segments in real time, thereby achieving formation pressure monitoring during drilling. This invention does not rely on the formation pressure formation mechanism or compaction trend line and is applicable to overpressure monitoring in buried hill reservoirs.

The invention discloses a logging data correction and lithology accurate identification method based on an artificial neural network. The logging data correction and lithology accurate identification method comprises the following steps that logging data of buried hill drilling in a target area, laboratory test data and regional geological background data of the target area are collected; preprocessing the collected logging data and laboratory test data, establishing a corresponding relation between the logging data and the laboratory test data, and forming a data set; constructing an artificial neural network model; training and optimizing the constructed artificial neural network model based on the data set; inputting to-be-corrected target well logging data into the trained artificial neural network model, and outputting corrected mineral element content data; and based on the corrected mineral element content data, realizing lithology classification and accurate identification of the target well in combination with a regional geological background. By adopting the method disclosed by the invention, the conversion from logging data to laboratory precision data is realized, and the lithology identification precision under complicated geological conditions such as Taiocosmic metamorphic rock buried mountains and the like is improved.

The invention discloses a metamorphic rock buried hill fracture development zone division method and device based on PCA data fusion, and relates to the technical field of oil and gas field exploration, and the method comprises the steps: collecting multi-source data of a metamorphic rock buried hill region, and carrying out the preprocessing of the multi-source data; selecting a resistivity curve, a three-porosity curve and an energy spectrum curve to calculate fracture sensitive parameters to obtain fracture response parameter data; obtaining the structural information of the earthquake work area by calculating the curvature and the coherent body; performing dimension reduction processing on the data by using a PCA technology, and fusing the multi-source data to form a data set comprehensively reflecting the characteristics of the fracture-developed zone; and performing fracture-developed zone division on the key well according to the fracture-developed zone division plate to obtain a fracture-developed zone division result. According to the method, the accuracy and reliability of division of the fracture development zone can be effectively improved, the application of principal component data fusion in division of the buried hill fracture development zone is realized, and the accuracy of division of the buried hill fracture development zone is effectively improved.

The application provides a weathered crust-interior structure integrated prediction method for metamorphic buried hill reservoirs. The weathered crust-interior structure integrated prediction method for metamorphic buried hill reservoirs comprises the following steps: S1, reservoir geological feature analysis and structure division; S2, reservoir parameter prediction based on prestack simultaneous inversion; S3, single-unit multi-attribute fusion fracture modeling; S4, ground stress modeling and fracture effectiveness evaluation; and S5, reservoir comprehensive quantitative evaluation and favorable area prediction. The weathered crust-interior structure integrated prediction method for metamorphic buried hill reservoirs has the advantages of being capable of integrating multidisciplinary information and realizing integrated characterization and quantitative prediction of weathered crust and interior reservoirs.

This invention discloses a method for calculating the reference intensity of X-ray diffraction mineral quantitative analysis, relating to the field of oil and gas exploration and development technology. This invention utilizes the X-ray diffraction full-spectrum fitting method to design an initial crystal structure model of the mineral, construct a theoretical X-ray diffraction spectrum, refine the mineral crystal structure parameters and peak shape function parameters, fit the mineral percentage content, and derive the required reference intensity K value using the mineral percentage content calculation formula from the standard (SY / T5163-2018) "X-ray Diffraction Analysis Method for Clay Minerals and Common Non-Clay Minerals in Sedimentary Rocks". This allows for the true realization of quantitative X-ray diffraction mineral analysis for sedimentary rocks, igneous rocks, and metamorphic rocks.

A method for evaluating geological hydrogen source rock in a region is provided. The method includes: collecting magnetic susceptibility data from a plurality of subsurface locations in the region; receiving geophysical survey data of the region, wherein the geophysical survey data comprises geophysical data collected from above ground; tying the magnetic susceptibility data of the plurality of subsurface locations to the geophysical survey data; generating a geologic map of igneous rock, metamorphic rock, or mafic mineral- or iron-rich sedimentary rock within the region based on the magnetic susceptibility data using a model; and determining, based on the geologic map, a target zone of the geological hydrogen source rock with a potential for hydrogen production or with the potential for hydrogen accumulation.

The embodiment of the application discloses a metamorphic rock buried hill fracture type reservoir effective permeability calculation method and related equipment. The method comprises the following steps: selecting an effective index curve capable of optimally representing fracture effectiveness from a plurality of effectiveness candidate well curves; obtaining an effective permeability continuous curve according to the effective index curve and a single-value effective permeability calculated by well test interpretation; obtaining a fracture effectiveness indication crossplot according to the effective index curve and a production index, or according to the effective index curve and a formation coefficient; screening out a modeling effective oil test well section with consistent control conditions according to the fracture effectiveness indication crossplot; and calculating reservoir effective permeability of a to-be-predicted target well section by using a machine learning algorithm according to a learning sample library that is summarized. The application solves the problems of obtaining a metamorphic rock buried hill fracture type reservoir effective permeability continuous curve by using multi-well oil test data and improving the calculation accuracy of well logging data effective permeability.

The invention provides a corresponding identification method for a high-temperature metamorphic hydrothermal uranium deposit and a collision mountain-building evolution stage, and the method comprises the following steps: collecting an ore sample containing a uraninite in a target deposit, and preparing a sheet sample; the slice sample is observed through lithofacies, a target hydrothermal mineral formed in the same period as uranium mineralization is determined, micro-area in-situ analysis is adopted, micro-area analysis point components of the target hydrothermal mineral are determined, and the temperature of the micro-area analysis point components is calculated; based on the spatial distribution of the analysis points, the temperature change trend of the uranium metallogenic process is constructed; obtaining regional metamorphic rocks of the collision mountain-building zone where the target uranium deposit is located, and determining evolution characteristics of the regional metamorphic rocks; and comparing the temperature change trend with the evolution characteristics, determining regional metamorphic rock evolution characteristics corresponding to the uranium mineralization effect, and identifying a corresponding relation between uranium mineralization and collision mountain building evolution stages. According to the method, the technical problem that in the prior art, the corresponding relation between the high-temperature metamorphic hydrothermal uranium ore deposit mineralization process of the collision mountain-building zone and each stage of regional metamorphic evolution cannot be accurately and quantitatively recognized is solved.

The application discloses a kind of electrical parameter calculation methods of orthometamorphic rock weathering crust, comprising: reading the conventional logging curve data of the depth corresponding to orthometamorphic rock weathering alteration index;Logging curve data and orthometamorphic rock weathering alteration index data are fitted into linear relationship chart;According to the correlation of the linear relationship chart of fitting, select the logging curve with high sensitivity of orthometamorphic rock weathering crust identification;The logging curve data with high sensitivity of orthometamorphic rock weathering crust identification is normalized;Fitting orthometamorphic rock weathering crust electrical parameter calculation formula;The logging curve data after normalization is brought into orthometamorphic rock weathering crust electrical parameter calculation formula.The present application is based on the analysis of a large amount of logging curve data, establishes a new orthometamorphic rock weathering crust electrical parameter calculation model, and proposes a new method for identifying orthometamorphic rock weathering crust.