181 results about "Rock types" patented technology

The invention discloses a coal-rock interface identifying method and system based on an image. The method comprises the following steps of: acquiring multiple color images of coal and rock on a coal mining working face; extracting a vector based on an image characteristic serving as a sample characteristic vector specific to each color image to obtain a known sample set of coal and rock; and establishing a coal-rock classifier model by adopting a Fisher linear judging method and taking the known sample set of the coal and rock as a training sample set. In the working process of a coal mining machine, a color image of the coal and rock which is cut by using a drum is acquired in real time, and the extracted characteristic vector is input into the coal-rock classifier model to identify a coal-rock type. The system consists of a light source module, an imaging module, a processing module and an anti-explosion shell. The coal-rock interface identifying method and the system provided by the invention have the characteristics of simple structure, easiness for distributing, high suitability and the like, the coal-rock type cut by using the drum can be automatically identified in real time, and reliable coal-rock interface information is provided for automatic heightening of the drum of the coal mining machine.

Techniques for determining formation characteristics use measurements of dielectric permittivity at a number of frequencies. Determined characteristics include the vertical and horizontal formation dielectric constant and conductivity, the formation water conductivity, the water saturation, the cementation and the saturation exponents. In laminated formations these profiles can be determined for each lamina. Also, formation dielectric properties are used in determination of the rock type.

The invention discloses a coal-rock identification method based on image gray level co-occurrence matrixes. The coal-rock identification method comprises the following steps of: respectively collecting color images f1 and f2 of a known coal sample and a known rock sample under the same imaging condition; respectively capturing sub-images s1 and s2 which are the same in size and free of a background; extracting gray level co-occurrence matrixes P1 and P2 of the sub-images; calculating image characteristics K1 and K2 based on the gray level co-occurrence matrixes; for an unknown coal-rock object to be identified, collecting an image fx under the same imaging condition; capturing a sub-image sx free of the background according to the same size; extracting a gray level co-occurrence matrix PXof the sx; calculating an image characteristic value Kx based on the gray level co-occurrence matrixes; and judging the coal-rock type according to a relation between Kx and K1 and K2. Because non-contact identification based on the images is utilized, the coal-rock identification method has the characteristics of easy deployment, strong adaptability, high identification rate and the like.

Described herein is a method and system for characterizing in-ground rock types from measurement-while-drilling data in a mining environment. The method includes the steps of drilling holes at a plurality of selected locations within a region of interest; collecting measurements while drilling to obtain an array of data samples (162) indicative of rock hardness at various drilling depths in the drill hole locations; obtaining a characteristic measure (163) of the array of data samples; performing Gaussian Process regression (164) on the characteristic measure; and applying boundary detection (166) to the rock hardness output data obtained from the Gaussian process model to identify the distribution (280) of at least one cluster of rock type within the region of interest.

The present invention is a method for using petrophysical data from a plurality of wells, in a plurality of reservoir regions, containing a plurality of reservoir rock types, in the context of a three-dimensional geological model, for identifying dimensionless capillary pressure functions and using these dimensionless capillary pressure functions for determining reservoir fluid volumes, fluid contacts, the extent of reservoir compartmentalization, and an improved estimate of reservoir permeability. The present invention is directed to the method and finished product of same.

The invention discloses a three-dimensional rock core visualization method based on CT images. The method includes the steps of image obtaining, grey scale transformation, brightness processing, contrast ratio stretching, binarization and three-dimensional visualization. Through the method, three-dimensional rock core visualization based on the CT images is achieved, geological information of a rock core such as pore morphology and distribution, rock types and microstructures can be visually observed. Compared with the traditional method that slices of a casting body are obtained and cross-section analysis is directly conducted on a three-dimensional rock core entity, the three-dimensional rock core visualization method based on the CT images has the advantages that cracks and pore distribution status of the rock core can be observed on the condition of not changing the morphology and internal structure of the rock core, so that a large amount of modeling time and economical cost are saved, the working efficiency is improved, and researchers can conduct various rock core simulation experiments and analysis on the rock core more visually and conveniently.

A method and system for enhancing predictive accuracy of planet surface characteristics from orbit using an extended approach of Pan-Sharpening by using multiple high resolution bands to reconstruct high resolution hyperspectral image is disclosed. Sparsity based classification algorithm is applied to rock type classification. An Extended Yale B face database is used for performance evaluation; and utilizing deep Neural Networks for pixel classification. The present invention presents a system that can significantly enhance the predictive accuracy of surface characteristics from the orbit. The system utilizes complementary images collected from imagers onboard satellites. The present system and method generates high spatial high spectral resolution images; accurate detection of anomalous regions on Mars, Earth, or other planet surfaces; accurate rock/material classification using orbital data and the surface characterization performance will be comparable to in-situ results; and accurate chemical concentration estimation of rocks.

The invention discloses a shale classification method. The method includes the first step of determining the types of macroscopic structures of shales by observing shale cores, the second step of determining organic matter types and total content of organic carbon through kerogen and organic carbon analysis and obtaining the volume fraction of organic matter components through the total content of organic carbon, a conversion coefficient, the organic matter density and the rock density, the third step of determining mineral composition of the shales and obtaining the volume fraction of calcareous mineral components, the volume fraction of felsic mineral components and the volume fraction of clay mineral components through thin section authentication and total rock mineral analysis, the fourth step of classifying the shales according to the four-component three-end-member principle, and the last step of classifying the shales and conducting reasonable simplification through a core macroscopic structure and rock type combined method. The shale classification method is applicable to laboratory studies and outside work, is a method with reasonable logic and high operability for classification of the shales, solves the problems that the shale classification methods are varied and the organic matter components are ignored, and can be used for studying formation causes of the shales conveniently and guiding field logging and fracturing transformation.

The invention provides a method for recognizing a rock type. The method comprises the following steps of: (1) preprocessing a formation microresistivity imager (FMI) color image of a rock to be recognized and converting the FMI color image into an FMI gray scale image; (2) setting three threshold values for performing Canny edge detection on the FMI gray scale image; (3) performing three times of Canny edge detection on the FMI gray scale image by using the three threshold values; (4) evaluating three box dimension characteristics of the rock to be recognized by a box dimension characteristic computing method; and (5) recognizing the type of the rock to be recognized according to the evaluated box dimension characteristics of the rock to be recognized by using a nearest neighbor classifier. The method has the advantages of laying a basis for the intelligent recognition of the FMI image, promoting the research of an intelligentized high-efficiency FMI image recognition system and indirectly facilitating the popularization of FMI logging technology and can be widely applied to the aspects of oil exploration, FMI image processing, development of intelligent logging instruments and the like.

The invention discloses a strata denudation amount recovery method. The method comprises the following steps of carrying out a data acquisition step: acquiring a strata thickness and a strata age of each layer system of a position to be analyzed; carrying out a settlement model establishment step: constructing a settlement model of the position to be analyzed according to the strata thickness and the strata age; carrying out a denudation amount recovery step: calculating an accumulative deposition thickness of the position to be analyzed according to the settlement model and the strata age, and calculating the strata denudation amount of the position to be analyzed according to an accumulation thickness and a strata thickness. The method is suitable for a multi-period settlement-uplifting and multi-period burying-denudation long-term development evolution deposition basin, excessive analysis and test cost does not need to be spent, and the method is not limited by a sample rock type and a stratigraphic buried depth and possesses good enforceability, objectivity and reliability.

The disclosed embodiments include a system and method for performing a simulation to seismic process. In one embodiment, the system is configured to perform operations comprising constructing a petrophysical realization and selecting a candidate model for fluid flow simulation using the petrophysical realization. Empirical petrofacies definitions is applied on the selected candidate model and assigning relative permeability at each node of the petrofacies definitions of the selected candidate model. The operations performs flow simulation on selected candidate model and performs analysis on the results of the simulation on selected candidate model to verify rock type flow units. The dynamic and static simulation results are synthesized such that the combined data yield a measurable rock property that may be compared to seismic properties and used to calibrate subsequent iterations of the static earth model. The continued iteration of the workflow may then be undertaken with the updated/refined earth model.

Described herein is a method and system for classifying rock types in a rock body. The method comprises the steps of obtaining spectral data from a spectral measurement (202) of a surface region of the rock body and then determining a first spectral ratio between two wavelength bands of the spectral data. From the first spectral ratio it can be assessed (204) whether the measurement is a high-angle measurement, and if the measurement is not a high-angle measurement then a further spectral ratio between two further wavelength bands of the spectral data is determined (208). The further spectral ratio is then compared (210) with a corresponding diagnostic criterion to assess whether the surface region comprises a first rock type associated with the further spectral ratio and diagnostic criterion.

The invention discloses a rock type-I fracture crack speed and fractal dimension determination method. The method is characterized by, to begin with, selecting a straight cutting groove semicircle bending rock material test sample, which is finally formed by core drilling, cutting grinding and cutting groove prefabricating; then, testing the test sample through a three-point bending mode; througha high-speed camera, observing and recording crack growth forms in the sample loading fracture process, and collecting a voltage-time curve recorded by a strain gauge on an SHPB pressure bar in the test process and the crack growth process of each test sample recorded by the high-speed camera, and saving the recorded images as a file; and finally, processing the images recorded by the high-speed camera, calculating crack growth interval time and distance through Image J image processing software, calculating crack speed and acceleration speed through derivation, and furthermore, carrying out fitting to obtain fractal dimension of crack growth according to a box-counting dimension method and a least square method.

Embodiments of a method of pore type classification for petrophysical rock typing are disclosed herein. In general, embodiments of the method utilize parameterization of MICP data and/or other petrophysical data for pore type classification. Furthermore, embodiments of the method involve extrapolating, predicting, or propagating the pore type classification to the well log domain. The methods described here are unique in that: they describe the process from sample selection through log-scale prediction; PTGs are defined independently of the original depositional geology; parameters which describe the whole MICP curve shape can be utilized; and objective clustering can be used to remove subjective decisions. In addition, the method exploits the link between MICP data and the petrophysical characteristics of rock samples to derive self-consistent predictions of PTG, porosity, permeability and water saturation.

The invention discloses a rock type-I crack expansion whole process detection method based on three-point bending tests. The rock type-I crack expansion whole process detection method comprises the following steps: prefabricating a type-I crack in the middle part of a three-point bending test piece, performing jetting speckling treatment in an appointed analysis area of the test piece, and performing three-point bending tests on the appointed analysis area; meanwhile, performing whole process continuous imaging on the appointed analysis area, acquiring digital images, and analyzing, so as to obtain horizontal tension strain epsilon h of the whole test process of the appointed analysis area of the three-point bending test piece; coring the three-point bending test piece after the tests, manufacturing a Brazilian split disc test sample, performing sharp Brazilian split disc tests on the Brazilian split disc test sample so as to obtain ultimate tensile strain epsilon T, and comparing different values of epsilon h so as to obtain time nodes that horizontal tensile strain in different positions meets the ultimate tensile strain epsilon T in the whole type-I crack expansion process of the three-point bending test piece; according to second strength principles, acquiring crack expansion whole process information of type-I cracks of rock under the action of three-point bending. The rock type-I crack expansion whole process detection method disclosed by the invention is simple and easy to operate and precise in test result.

The invention discloses a deep coal bed gas and dry hot rock type terrestrial heat combined mining method, and belongs to the technical field of geological new energy development. A CO2 injection well is a single-branch horizontal well, a horizontal well section is located in a hot dry rock geothermal reservoir, and 8-10 geothermal exploitation vertical wells are constructed on the ground on the two sides of the horizontal well section; and the CO2 injection well horizontal well section is subjected to staged fracturing and is synchronously fractured with the geothermal exploitation vertical well, so that an artificial fracture channel is formed between the CO2 injection well and the geothermal exploitation well. Lateral drilling of a branch horizontal well is carried out on a straight well section of the CO2 injection well, the lateral drilling horizontal well section is located in the deep coal reservoir, and after drilling is completed, a screen pipe is put down for well completion; and 8-10 coalbed methane mining vertical wells are constructed on the ground on the two sides of the lateral drilling horizontal well section, and a deep coal reservoir is transformed in a fracturing mode after perforation well completion. CO2 is injected into a well for continuous gas injection, the recovery ratio of deep coal bed gas is increased through the replacement and displacement effects of CO2 on CH4, meanwhile, the geothermal energy in the hot dry rock is extracted with supercritical CO2 as a circulating working medium, and the geothermal energy is converted into electric energy through a supercritical CO2 generator.

The invention provides an inter-salt mud shale layer-series lithofacies classification method and verification method, belonging to the field of shale oil exploration geology. The inter-salt mud shalelayer-series lithofacies classification method comprises the following steps: determining the stratification thickness of mud shale by observing the core of the mud shale and authenticating with an optical microscope; determining the core through the whole-rock mineral analysis so as to confirm the rock mineral type of the mud shale; determining the abundance of the organic matter of the mud shale through pyrolysis organic carbon analysis; determining the rock mineral volume content, corresponding to the rock mineral type, of the mud shale through whole rock mineral analysis in combination with the observation of a slice under the microscope; and classifying the rock type of the mud shale by adopting a 'four-component three-end member' principle classification method based on the rock type according to the volume content of detrital mineral components, calcite components and dolomite component in the mud shale. The inter-salt mud shale layer-series lithofacies classification verification method verifies by using a natural gamma ray spectrometry and conventional logging curve characteristics that the rock of the mud shale classified into the same lithofacies has the same rock-electricity characteristics.

The invention provides a lacustrine facies peperite reservoir logging recognition method based on composition-structure classification. The method includes the steps of sample acquisition, wherein lithological standardization base data and a corresponding conventional logging curve are acquired; curve-sample lithological standardization, wherein a logging curve in a corresponding well section is extracted according to the lithological standardization result; sample classification, wherein known lithological samples are classified according to compositions and structures; lithological composition-structure indication sensitivity curve optimization, wherein a box figure method and a cross plot method are adopted as optimization methods; establishment of a composition-structure secondary classification lithological interpretation flow chart according to the optimization result; lithological recognition on unknown lithological sections according to the lithological interpretation flow chart. The conventional logging curve is used for qualitatively recognizing rock compositions and structures of a lacustrine facies peperite reservoir, rock types are conveniently and accurately recognized, and base data is provided for following logging comprehensive interpretation, formulation of test measures in shaft operation and lithological calibration of sections in which rock (walls) cores are not taken.

The embodiment of the application provide a method and device for determining the reservoir lithology, wherein the method includes: acquiring a core sample and logging data in a target area, wherein the logging data includes the logging data of a first type of wells and the logging data of a second type of wells, the first type of wells includes a coring well, the second type of wells include single wells other than coring well; dividing the first type of wells into to-be-recognized rock types according to core sample; according to the to-be-recognized rock types of the first type of wells andthe logging data of the first type of wells, establishing a reconstruction indicative curve; according to the reconstruction indicative curve and the logging data of the second type of wells, the lithology of the second type of wells. The method uses the coring well as a reference, first determines the rock type of the coring well, establishes the reconstruction indicative curve according to thecharacteristics of different rock types to identify the specific lithology of other wells, thereby solving a technical problem that a conventional method is in low efficiency of determining the lithology and poor in accuracy.

A system and method of automated classification of rock types includes: partitioning, by a processing device, an image into partitions; extracting, by the processing device, sub-images from each of the partitions; first-level classifying, by an automated classifier, the sub-images into corresponding first classes; and second-level classifying, by the processing device, the partitions into corresponding second classes by, for each partition of the partitions, selecting a most numerous one of the corresponding first classes of the sub-images extracted from the partition. A method of displaying automated classification results on a display device is provided. The method includes: receiving, by a processing device, an image partitioned into partitions and classified into corresponding classes; and manipulating, by the processing device, the display device to display the image together with visual identification of the partitions and their corresponding classes. The method may include generating a depth-aligned log file of the classifications.

The invention relates to a mineral separation method for an alkaline rock type rare earth mineral, which is characterized in that the mineral separation method comprises the following steps of: carrying out mineral grinding and magnetic separation to obtain magnetic separation roughing concentrates and magnetic separation roughing tailings; carrying out magnetic separation scavenging on the magnetic separation roughing tailings by using a high-gradient wet process to obtain magnetic separation scavenging concentrates and magnetic separation scavenging tailings; and combining the magnetic separation roughing concentrates with the magnetic separation scavenging concentrates, carrying out closed-route flotation of rough concentration for one time, scavenging for three times and fine concentration for three times after mineral grinding and sequentially returning middlings. Finally, flotation fluorine carbon cerium concentrates and flotation tailings are obtained. The mineral separation method has the advantages of simple and short process, small equipment floor area, no dust operation, normal temperature operation and high sorting index. The mineral separation method is suitable for the mineral separation of a light rare earth mineral existing in a bastnaesite form.