24 results about "Vitrinite" patented technology

This invention provides a method, system, and computer equipment for predicting the maturity of shale and mudstone reservoirs through well logging. By analyzing the total porosity and total organic carbon content of shale and mudstone cores from different regions, this invention obtains a mathematical relationship between relative porosity and total organic carbon content. This mathematical relationship reflects the porosity-enhancing efficiency of organic matter and reveals a close relationship between this efficiency and vitrinite reflectivity, which reflects the thermal maturity of organic matter. As maturity increases, the porosity-enhancing efficiency of reservoir organic matter decreases. Therefore, the maturity of shale and mudstone reservoirs can be predicted and evaluated based on the porosity-enhancing efficiency of organic matter. Based on this, this invention establishes a "three-parameter" chart using data on total porosity, total organic carbon content, and vitrinite reflectivity of shale and mudstone from different regions. By processing the data in the area to be tested, the mathematical relationship between relative porosity and total organic carbon content of the shale and mudstone reservoir is obtained. Combined with the "three-parameter" chart, the organic matter maturity can be determined, providing a reference for reservoir evaluation and prediction.

The application discloses a sample preparation device and method suitable for determining vitrinite reflectivity by an image method, and the device comprises a sample table, the top of the sample table is provided with a sample groove, and the sample groove is used for carrying a sample to be measured; a plurality of standard sample grooves are uniformly arranged in the sample groove; and a plurality of standard sample tubes are inserted into the standard sample grooves, and the standard sample tubes are used for containing standard samples. The sample preparation device suitable for determining vitrinite reflectivity by the image method inserts the standard sample tubes containing the standard samples into the standard sample grooves of the sample groove, uniformly lays the sample to be tested on the sample groove except the area of the standard sample grooves, so that the sample to be tested is uniformly laid around the standard samples, uniform sample preparation of the standard samples and the sample to be tested is realized, the device is convenient to assemble and disassemble, the standard samples can be repeatedly used, the method is simple, and the test efficiency is high.

The invention discloses a high-quality coke production method based on the aromatic content of coking coal and mixed coal, and belongs to the technical field of coal processing and coking. The method comprises the following steps: firstly, carrying out coal rock detection and vitrinite pre-enrichment on single coking coal to ensure that the vitrinite content is greater than or equal to 60%; then, carrying out chemical structure characterization on the enriched coal sample by utilizing Fourier transform infrared spectroscopy (FT-IR), and quantitatively calculating the relative content of aromatic and aliphatic structures of the coal sample through Gaussian peak-splitting fitting; screening qualified coal types according to the specific aromatic and aliphatic content range of each coal type; mixing the screened coal types in proportion; finally, the mixed coal is subjected to coking, and high-quality coke with high strength and low reactivity is obtained. According to the method, accurate coal blending is realized from the molecular structure level, the problems of large coke quality fluctuation and high cost caused by the fact that a traditional method depends on macroscopic experience are solved, and stable control of the coke quality and optimization of the coal blending cost are realized.

The invention provides a method, a system, a device and equipment for measuring the maximum vitrinite reflectivity of coal, and relates to the technical field of coking coal. In some embodiments of the present disclosure, a micro motor is controlled to drive a microscope polarizer to rotate, so that polarized light and a vitrinite texture direction rotate relatively; wherein the microscope polarizer is fixedly connected to the microscope and is connected with the micro motor; the objective table is controlled to move according to a set movement track so that the objective table can reach a designated testing position, and the reflectivity of the vitrinite in the window image is measured; according to the method, relative rotation of the polarized light and the vitrinite texture direction is realized through rotation of the polarizer of the microscope, so that the error of determination of the vitrinite maximum reflectivity of the coal caused by rotation of the existing objective table is reduced, the efficiency of determination of the vitrinite maximum reflectivity of the coal is improved, and the accuracy is improved.

The invention discloses a coal rock longitudinal wave anisotropy coefficient logging determination method, device and equipment, and the method comprises the steps: obtaining the continuous depth vitrinite reflectivity of coal rock based on a logging curve of the coal rock; and determining the continuous depth longitudinal wave anisotropy coefficient of the coal rock according to the continuous depth vitrinite reflectance of the coal rock and the incidence relation between the longitudinal wave anisotropy coefficient of the core sample of the coal rock and the vitrinite reflectance of the core sample, which is pre-constructed based on an experimental analysis method. According to the method, aiming at the problem of coal rock stratum longitudinal wave anisotropy evaluation, the function relation between the longitudinal wave anisotropy coefficient and the vitrinite reflectivity is creatively established through anisotropy cause analysis, and then logging information is used for continuous deep processing, so that the coal rock longitudinal wave anisotropy coefficient logging calculation method is formed. The method provided by the invention mainly aims at a coal rock stratum, and can provide necessary parameters for coal rock anisotropy characteristic analysis, crustal stress calculation and the like.

The invention provides a coal bed gas enrichment main control factor evaluation method, which relates to the field of geology, and comprises the following steps: collecting and sorting eight coal reservoir parameters including burial depth, reservoir temperature, reservoir pressure, Ro, vitrinite volume fraction, ash content yield and coal bed thickness and gas content data; the influence of each coal reservoir parameter on the gas content enrichment degree is quantitatively evaluated by adopting three methods of correlation analysis, random forest importance sorting and grey correlation analysis, and the evaluation result is normalized. On the basis, reasonable weights are dynamically given to all the methods through an entropy weight method, the total score of all the coal reservoir parameters is calculated, comprehensive sorting is conducted, and therefore quantitative evaluation of the coal bed gas enrichment main control factors is achieved.

The invention discloses a quantitative prediction method for a coal-rock gas favorable area. The quantitative prediction method comprises the following steps: S1, collecting coal-rock underground core samples and cover rock core samples of a coal seam which is deeper than 2000m in different areas of a coal-containing basin; s2, measuring the vitrinite reflectivity, the vitrinite content, the porosity and the permeability of the underground rock core sample; s3, measuring the porosity, the permeability, the breakthrough pressure and the diffusion coefficient of the cap rock core sample, and statistically analyzing contribution weights of five evaluation indexes of the coal seam thickness, the porosity, the permeability, the breakthrough pressure and the diffusion coefficient to the sealing capacity based on the measured data to obtain a sealing index S; s4, statistically analyzing the contribution weights of the coal seam thickness, the vitrinite reflectivity, the vitrinite content, the porosity and the permeability measured in the step S2 and the sealing index S to the sealing capacity, and establishing a quantitative calculation formula of an enrichment index E; and S5, performing coal rock gas favorable area evaluation based on the enrichment index E.

The invention provides an organic matter-rich rock hydrogen production potential evaluation method and analysis equipment, and relates to the technical field of geological resource development. Comprising the following steps: carrying out thermal evolution simulation on organic matter macromolecular models of vitrinite samples with different maturity degrees, and determining the maximum hydrogen content and the maximum carbon dioxide content generated by cracking of the vitrinite samples evolved to different maturity degrees; carrying out isothermal adsorption experiments on the vitrinite samples with different maturity degrees, and determining the carbon dioxide adsorption quantity in the vitrinite samples with different maturity degrees; based on a pre-established hydrogen generation and carbon dioxide sequestration evaluation model, the maximum hydrogen content and the maximum carbon dioxide content generated by cracking of the vitrinite samples of different maturity, and the hydrogen content generated in the inorganic evolution process of the vitrinite samples of different maturity, the maximum carbon dioxide content and the maximum hydrogen content are evaluated. And determining the optimal maturity interval of hydrogen production according to the carbon dioxide adsorption quantity in the vitrinite samples with different maturity degrees. According to the invention, accurate quantitative evaluation of the underground in-situ hydrogen production potential can be realized.

This invention relates to a method for refining and classifying coking coal based on petrographic and matrix strength, comprising: determining the petrographic composition of the coking coal; placing the prepared sample in a dry distillation reactor for dry distillation reaction; pulverizing; taking a sample with a weight of M0 and placing it in a type I rotary drum for a rotational experiment, then sieving and recording the weight of coke particles larger than 0.2 mm as M1; calculating the matrix strength I. cb = (M1 / M0)*100%; based on the vitrinite content V and matrix strength I in the coal and petrographic composition. cb This invention enables the detailed classification of coking coal. It can quickly distinguish between coking coal types with similar conventional coal quality indicators and further classify them, providing a reliable basis for coking coal quality evaluation and blending guidance. The method is simple, reliable, low-cost, and timely, making it suitable for coal and coking enterprises and possessing broad application value.

This invention relates to a method for predicting the early and mid-stage production of coalbed methane wells in medium- to high-rank coal reservoirs. The method includes: determining whether the coalbed methane well is located in a medium- to high-rank coal reservoir based on the average random reflectance of the vitrinite group; obtaining reservoir parameters of the medium- to high-rank coal reservoir where the well is located, including the well point gas content, reservoir stratigraphic coefficient, and well structural location; establishing a geological potential evaluation model for the well based on these parameters; denoising the gas production data; obtaining the critical analytical pressure of the reservoir and the bottomhole flowing pressure after the well production has stabilized; calculating the apparent analytical coefficient of the well; and establishing a drainage potential evaluation model for the well; and using the denoised production data from the geological potential evaluation model and the drainage potential evaluation model, a comprehensive early and mid-stage production prediction model is established. This method can adjust and update the fitting coefficients in real time based on field production data, and is simple, convenient, fast, and has high prediction accuracy.

The invention relates to the field of oil-gas exploration, and discloses a method for determining an effective gas source rock exhaust threshold by using a delta13C1-Ro relationship, and the method comprises the steps: obtaining corresponding vitrinite reflectance of an effective gas source rock stratum section at different buried depths, and drawing an evolution curve of the vitrinite reflectance with respect to the buried depths; obtaining the methane stable carbon isotope composition of the found natural gas in the research area; natural gas causes and sources are judged, and natural gas from the effective gas source rock stratum section is screened out; establishing a relationship between natural gas methane stable carbon isotope composition from the gas source rock and vitrinite reflectivity, and drawing a change curve; and determining the exhaust threshold of the effective gas source rock stratum section by utilizing the screened natural gas methane stable carbon isotope composition value in combination with the evolution curve and the change curve. According to the method, the accuracy and the pertinence of determining the exhaust threshold are improved based on actual geochemical data inversion.

The invention relates to an optimized method for predicting coke quality through universal coal blending, which comprises the following steps of: 1) segmenting a vitrinite reflectivity histogram of each single coal, and weighting among partitions to obtain a mixed coal vitrinite reflectivity histogram; 2) establishing an inequality set as a constraint condition by using the distribution characteristics of the mixed coal vitrinite reflectance histogram; and 3) for the blended coal meeting the constraint condition, predicting the coke quality by adopting a prediction model based on an artificial intelligence algorithm. According to the method, the inequality set is established by using the characteristics of the distribution of the mixed coal vitrinite reflectance histogram, the range of coal blending optimization is constrained, the prediction model established by the artificial intelligence algorithm is introduced after the constraint condition is met, and the prediction accuracy and universality are improved while the advantages of the artificial intelligence prediction model are brought into full play.

This invention discloses a method and system for coal facies identification in deltaic-tidal flat-lagoon coal seams, relating to the field of quantitative coal facies identification technology. The method includes: collecting Late Paleozoic coal samples and extracting measurement parameters; classifying primary coal facies types based on the measurement parameters, statistically analyzing the consistency of the discrimination results, and determining the reliability of the primary coal facies type classification; for Late Paleozoic deltaic-tidal flat-lagoon coal seams, using the subtypes of vitrinite within the coal seam and microscopic components directly related to vegetation as the analysis objects, obtaining revised TPI and VI, classifying secondary coal facies types, and determining the reliability of the secondary coal facies type classification; obtaining the final reliability by productting the reliability of the primary coal facies type classification with the reliability of the secondary coal facies type classification. This invention employs a multi-angle, multi-parameter cross-validation approach to classify coal facies, effectively avoiding the subjective bias of a single method, making the identification results more comprehensive and closer to geological reality.

The invention provides a shale in-situ conversion recoverable oil and gas resource quantity and favorable area evaluation method and equipment, and belongs to the field of shale oil and gas exploration and development. The evaluation method comprises the following steps: according to thermal simulation experiment data of a shale sample, taking influence of total organic carbon content, vitrinite reflectivity, retention oil and gas quantity, crude oil density, fluid pressure and organic matter type on oil and gas ratio in produced oil and gas as control factors, and establishing a unit mass shale in-situ conversion produced oil and gas quantity prediction model; determining an oil recovery equivalent lower limit value and an oil recovery equivalent lower limit value of rock per unit mass; determining a favorable interval according to the lower limit value of the oil recovery equivalent and the oil and gas output amount of the rock per unit mass; determining the quantity abundance of recoverable oil and gas resources according to the favorable interval; and determining a favorable area according to the abundance and the lower limit value of the recoverable oil and gas resource quantity. According to the method provided by the invention, a universal evaluation basis can be provided for evaluating the quantity of exploitable oil and gas resources developed by in-situ conversion of immature-medium and low-maturity shale and selecting areas.

The invention discloses preparation of a multi-coal-type synergistic fast-charging graphite negative electrode material and a lithium ion battery, and belongs to the technical field of ion battery negative electrode materials. According to the method, various coal sources which are low in cost and rich in reserves are adopted as raw materials, and the characteristics that coal is filled with various structural defects in a thermodynamic high-energy state, volatile components in the coal easily form pores, the vitrinite graphitization temperature is low, the inertinite aromatization degree is high, the graphitization temperature is high and the like are fully utilized; the preparation of the artificial graphite with simple process and mild conditions is realized, the industrial amplification difficulty is greatly reduced, and the method is a technical route with great cost advantage.

The present invention provides a method for automatically identifying and detecting mixed coal vitrinite, comprising: step one, collecting multiple images of various single coals in an actual industrial environment and calibrating the types of coals. Step two, using global median filtering and local mean filtering to eliminate some noise points in the image. Step three, using the clustering-based Otsu algorithm to binarize the image and remove the background image. Step four, using texture features and grayscale histograms to remove inertin and exinin from the image. In step four, the texture features include contrast, correlation, energy and entropy. Step five, using the Random Patchwork algorithm to generate a mixed coal image data set for multiple single coal images. Step six, constructing an image semantic segmentation model. Step seven, inputting the data set into the network for iterative training; and performing detection after the training is completed. The present invention combines traditional feature extraction with an improved deep learning algorithm, and can quickly and accurately detect and identify the types and proportions of mixed coal vitrinite.

The invention relates to a method for calculating the maturity of a heavy oil reservoir, which comprises the following steps of: (1) collecting a typical coal sample, extracting asphaltene in the typical coal sample, and analyzing to obtain the air reflectivity of the asphaltene and the vitrinite reflectivity Ro of the typical coal sample; (2) establishing a fitting relation between asphaltene air reflectivity in the typical coal sample and vitrinite reflectivity Ro of the typical coal sample; (3) enabling the fitting relationship established in the step (2) to be equivalent to a corresponding relationship between the asphaltene air reflectivity of the heavy oil reservoir and the equivalent maturity of the heavy oil reservoir; and asphaltene in the heavy oil reservoir in the target area is extracted and analyzed to obtain the air reflectivity of the asphaltene, and the maturity of the heavy oil reservoir in the target area is calculated in combination with the corresponding relation. According to the method, the maturity of the target heavy oil reservoir can be accurately calculated, the required experimental technology is simple, data acquisition is easier, cost is low, practicability is high, and large-scale application and popularization are easier.

The invention belongs to the technical field of oil and gas exploration and development, and particularly relates to an equivalent calibration method for crude oil maturity, which comprises the following steps: collecting a plurality of groups of samples with different maturity from a shale oil layer series, each group of samples comprising a hydrocarbon source rock sample and a crude oil sample of the same layer series; determining the vitrinite reflectivity Ro of the hydrocarbon source rock sample; the method comprises the following steps: testing the contents of C29-alpha alpha alpha-20S-regular stane and C29-alpha alpha alpha-20R-regular stane in a crude oil sample, and calculating C29-alpha alpha alpha-20S / (20S + 20R); establishing a fitting formula according to the plurality of groups of vitrinite reflectivity Ro and the plurality of groups of C29-alpha alpha alpha-20S / (20S + 20R); and calculating the crude oil maturity according to a fitting formula. The method has the advantages of being high in accuracy and small in error, the maturity calculated through the method is closer to the real maturity of crude oil, the method is more accurate compared with an existing method, and efficient support is provided for oil-gas exploration of the petroliferous basin.

A dynamic analysis method for the reflectance of vitrinite in continental hydrogen-rich shale based on normally distributed activation energy is proposed for oil and gas exploration and development, solving the problem that the existing Easy%Ro model is not suitable for the evolution analysis of vitrinite in continental hydrogen-rich shale. This invention includes: S1, a calibration method for the dynamic model of reflectance of vitrinite in continental hydrogen-rich shale; including a calibration method for the reaction dynamics model of vitrinite in hydrogen-rich shale based on in-situ thermal evolution simulation experiments or a calibration method for the reflectance dynamics model of vitrinite in hydrogen-rich shale based on paleothermal evolution history; S2, a forward modeling prediction method for geothermal evolution history based on the reflectance dynamics of vitrinite in continental hydrogen-rich shale. This invention establishes the SL_Ro model by obtaining data from in-situ thermal evolution experiments, which is more suitable for describing the reflectance evolution process of vitrinite in continental hydrogen-rich shale compared to the traditional Easy%Ro analysis method based on discrete distributed activation energy chemical kinetic models and exponential conversion relationships.

The invention discloses a shale thermal maturity earthquake prediction method based on a v-Ro model, and the method specifically comprises the following steps: 1, collecting logging and earthquake velocity spectrum data, constructing a Morlet-BP neural network model, reconstructing sound wave velocity data containing lithologic information, and obtaining a low-frequency earthquake velocity through low-frequency filtering; 2, medium-high frequency seismic velocities are obtained through well-seismic combination inversion, arithmetic summation is carried out on the low-frequency seismic velocities and the high-frequency seismic velocities in the step 1, and seismic horizon velocities capable of reflecting the real situation of a shale section stratum are obtained; and step 3, converting the seismic velocity of the shale section in the step 2 into vitrinite reflectivity, and realizing plane continuous prediction of the thermal maturity of the shale. The problem that in the prior art, the plane prediction precision of the thermal maturity of the shale is low is solved.

The invention belongs to the technical field of coal vitrinite reflectance detection, and particularly relates to a coal vitrinite reflectance identification method, which is characterized in that the initial reflectance of a coal sample measured by a reflectance detection instrument is compensated based on the evaluation result of the influence brought by the test temperature to obtain the accurate vitrinite reflectance; the method comprises the following steps: firstly, performing compensation on the coal vitrinite reflectivity, secondly, performing evaluation calculation on an accurate abnormal coefficient of the vitrinite reflectivity obtained after compensation, and finally, calculating multiple groups of vitrinite reflectivity with qualified abnormal coefficient evaluation calculation, so that in the process of detecting the vitrinite reflectivity of the coal, not only is the influence brought by test temperature considered, but also the detection accuracy is improved. The abnormal influence of the impurities locally accumulated in the coal on the detection result is more comprehensively considered, and the comprehensiveness and accuracy of the detection result can be effectively improved by effectively and organically combining the influence of the test temperature and the influence of the impurities locally accumulated in the coal on the detection result in the same evaluation system.

The invention discloses a method for checking and accepting anthracite special for bituminous coal caking index measurement. The method is characterized by comprising the following specific operation steps: 1) particle size measurement; 2) moisture Mad determination; 3) ash content Ad determination; (4) measuring volatile components (Vdaf); and (5) determining the reflectivity of vitrinite. The invention aims to provide the method for checking and accepting the anthracite special for bituminous coal caking index determination, so that the coal quality difference of the anthracite special for bituminous coal caking index determination can be rapidly and accurately identified, the checking and accepting index is increased for lithofacies detection, and the anthracite can be accurately detected under the condition that the granularity, moisture, ash content and volatile components are qualified. And the coal quality difference of the special anthracite can be quickly and effectively distinguished, a single high-coal-grade coal type which is uniform, narrow in vitrinite reflectivity measurement value range, small in standard deviation and free of notches is selected through lithofacies detection, and the influence on bituminous coal caking index measurement is reduced.

The embodiment of the present application provides a shale source-reservoir evaluation method and device, solves the problem that the existing evaluation method cannot effectively and intuitively reflect the source-reservoir configuration of over-mature shale samples. The shale source-reservoir evaluation method provided by the embodiment of the present application comprises the following steps: obtaining parameter information of first shale samples; obtaining original source-reservoir coupling coefficients of all the first shale samples based on the parameter information of the first shale samples; obtaining second shale samples based on the source-reservoir coefficients of the first shale samples; obtaining the average value of vitrinite reflectivity of all the second shale samples; obtaining the source-reservoir coefficients of all the first shale samples based on the average value of vitrinite reflectivity of the second shale samples and the source-reservoir coefficients of the first shale samples; and performing source-reservoir evaluation on shale based on the source-reservoir coefficients of all the first shale samples.

The present application belongs to the field of oil and gas exploration and development, and particularly relates to a method for judging organic matter maturity. The method uses Raman spectrum characteristics of organic matter to calculate vitrinite reflectance in different cases. First, relevant characteristic parameters with strong correlation are selected to be fitted with vitrinite reflectance. Then, according to the inflection point between the characteristic parameters and vitrinite reflectance at different thermal evolution stages, i.e. the critical point of vitrinite reflectance, different fitting regions are divided, and the relationship formula with high fitting correlation coefficient in the region is taken as a discrimination formula. Therefore, the more relevant judgment formula can be directly applied in different intervals according to the characteristic parameter values obtained in the target area and the critical point, so as to calculate the vitrinite reflectance which is more consistent with the actual value, and make the judgment of the organic matter maturity in the target area more accurate. Therefore, the method can be widely applied in high thermal evolution basins, thereby overcoming the influence of high thermal evolution test inaccuracy and no vitrinite and other elements.