115 results about "Coal measures" patented technology

The invention discloses a weakly cemented mining stratum roadway roof separation limit value determination method, relates to the technical field of mine roadway damage surrounding rock anchor net cable support and roof stability monitoring, and focuses on roadway surrounding rock roof support and monitoring of a weakly cemented coal mining stratum. The most typical damage form is sudden roadway roof fall and roadway integral convergence, and the life safety of mine engineering technicians is greatly threatened. The roof separation value is the relative displacement between two measuring points in the surrounding rock and between the surrounding rock at the end of the anchor rod and the surface of the roadway roof, belongs to the mine pressure display of the mine roadway, and is an important index for evaluating the anchor net cable supporting effect. The anchor net and anchor cable roof separation value based on the excavation disturbance rock damage degree is accurately calculated and monitored, and the method has important significance for guaranteeing mine safety production.

The invention discloses a coal series strategic metal collaborative exploration method, which belongs to the technical field of strategic metal mineral products, and comprises the following steps: S1, data collection and preprocessing; s2, multi-source data fusion: performing feature extraction and feature fusion on the obtained data; s3, intelligent analysis and prediction: constructing a coal measure metal ore body identification and prediction model, carrying out training and optimization, and carrying out ore body prediction analysis; and S4, performing three-dimensional visualization and verification: performing three-dimensional modeling on the prediction result obtained in the S3, and verifying the prediction result. According to the method, through multi-source data fusion and intelligent analysis, the exploration period is shortened, the exploration efficiency is improved, the accuracy and reliability of coal series strategic metal mineral resource prediction are improved, and resource evaluation errors are reduced, so that technical support is provided for coal series strategic metal mineral target region optimization and comprehensive exploration demonstration engineering.

The invention discloses a coal-series gas yield increasing and CO2 geological sequestration integrated simulation method and system, and relates to the technical field of gas exploitation of each layer, and the method comprises the following specific steps: building a geological model representing a multi-lithology superposed coal-series reservoir; the coal series reservoir is a heterogeneous reservoir and comprises shale, a coal seam and sandstone, the shale and the coal seam are double-hole double-permeability media, and the sandstone is a single-hole single-permeability medium; based on the geologic model, establishing a multi-physical field coupling model of a coupling temperature field, a seepage field and a stress field; performing discretization solution on the multi-physics field coupling model to obtain a numerical simulation result; constructing a numerical model, and performing inversion correction on model parameters of the numerical model based on experimental data and the numerical simulation result; and utilizing the corrected numerical model to simulate different injection-production working conditions so as to carry out double-target evaluation and scheme optimization of coal-series gas yield increase and CO2 geological sequestration. The method provides a reliable decision basis for engineering scheme design.

The invention provides a coal measure strata weathering zone aquifer water yield evaluation method, and particularly relates to the technical field of well field exploration. The method specifically comprises the following steps: S1, determining main evaluation indexes for evaluating the water yield property, and constructing an index system for evaluating the water yield property of the aquifer of the stratum weathering zone; s2, data quantification, standardization and normalization processing; s3, determining a subjective weight value and an objective weight value of each main evaluation index through an analytic hierarchy process and an entropy weight method; s4, drawing a water yield property single-factor partition map of each main evaluation index; s5, performing weighted combination on the subjective weight value and the objective weight value of each main evaluation index by using a linear method, and determining a comprehensive weight value of each main evaluation index; s6, constructing an evaluation model of the water yield strength of the aquifer of the to-be-studied area; and S7, based on the stratum weathering zone aquifer water yield property comprehensive partition map, carrying out water yield property evaluation. According to the method, the division grade of the water yield property of the weathering zone aquifer of the coal measure strata in the area range to be researched can be more intuitively evaluated.

The invention relates to the technical field of coal gangue resource utilization, in particular to a magnetic coal series kaolin hydrogel adsorbing material as well as a preparation method and application thereof. The preparation method of the material specifically comprises the following steps: carrying out ultrafine grinding, sieving and grading on coal gangue ore to obtain a coal series kaolinite material; further performing magnetic separation to obtain coal series kaolinite iron-rich tailings; further performing magnetizing roasting in a reducing atmosphere to obtain magnetic coal series kaolin; the preparation method comprises the following steps: compounding magnetic coal series kaolin with sodium alginate and chitosan by adopting a gel coating method, dropwise adding a calcium chloride solution for crosslinking, and freeze-drying to obtain the magnetic coal series kaolin hydrogel material. The preparation method is simple, and the obtained adsorption material has the characteristics of low cost, large adsorption capacity, high adsorption rate, high selectivity, excellent cyclic utilization performance and the like.

This application discloses a design method and grouting material for deep coal-bearing strata, comprising the following steps: S1 Data acquisition based on material pre-tests, correlation analysis, and orthogonal experiments; S2 Data expansion based on orthogonal experimental data to establish a dataset; S3 Creating a prediction model based on the RBF algorithm; S4 Optimizing the prediction model based on the PSO-RBF algorithm; S5 Proportion design based on the RBF-PSO-EWM algorithm; S6 Obtaining the proportion of grouting material for deep coal-bearing strata. This application proposes a PSO-RBF-EWM multi-objective optimization grouting material proportion design method and applies this method to design the comprehensive optimal proportion of grouting material for deep coal-bearing strata. The grouting material with the obtained optimal proportion has excellent characteristics such as low water-cement ratio, green environmental protection, and economic efficiency, and is suitable for the reinforcement characteristics of deep coal-bearing strata.

The invention relates to the technical field of ore recognition, in particular to a method and a system for quickly and preliminarily recognizing field ore quality of coal-series trilean metal mineral products, which comprises the following steps of: acquiring ore samples and acquiring main peaks, structures and infrared images, extracting image features to generate mutation numbers, analyzing sampling coordinates to reconstruct a connection structure, and calculating the quality of the coal-series trilean metal mineral products. Drawing a closed boundary to judge coordinate attribution, and outputting an ore quality identification scheme. According to the method, main peak reflection, microscopic image layers and infrared spectrum acquisition results are numbered in a unified manner and are subjected to time sequence binding, a synchronous corresponding relation among multi-source images is established, continuous change nodes and sudden change areas are identified in combination with offset tracks and structural features, spatial concentration blocks are generated by using number and coordinate mapping, and a connected structure is reconstructed; and drawing a closed boundary according to the track to form a region classification basis, verifying a mass change direction through image sequence coherence, and outputting a tagging identification result, thereby realizing rapid positioning and accurate classification of the field ore sample.

The invention provides an intelligent recognition and separation system, method and device for coal series kaolinite in coal gangue, and belongs to the field of coal gangue separation. The problems that in an existing coal gangue separation technology, coal series kaolinite recognition and separation efficiency is low, and precision is poor are solved. The system comprises a multi-modal data acquisition and processing module which is used for acquiring and processing a ray image, a texture image and the thickness of the coal gangue to obtain a comprehensive feature vector containing the gray scale, the texture and the thickness data of the coal gangue; the coal series kaolinite evaluation label establishing module is used for establishing an evaluation label; the image input classification algorithm module is used for taking the comprehensive feature vector as input, taking the evaluation label as a classification label, training a classification identification model and outputting a classification result; the control and separation execution module is used for generating a separation instruction according to the classification result and separating coal series kaolinite from the common coal gangue; the method is applied to separation of coal series kaolinite in coal gangue.

The invention discloses a coal mining full-life-cycle coal, gas and heat combined development method which comprises the following steps: before coal mining, carrying out combined development on coal series gas and terrestrial heat in a coal series reservoir through a ground combined development well; in the coal mining process, coal seam gas is extracted through bottom drainage roadway gas extraction holes, circulating water pipes are arranged in an underground bottom drainage roadway or a coal face air return roadway and a transportation roadway, cold water is injected from the ground for cyclic heating while coal mining is conducted, and combined development of coal, gas and terrestrial heat is achieved; after coal mining, a goaf is filled and blocked to form a relatively closed mining influence body, coal gas and hot water in the mining influence body are extracted through the ground coal gas extraction hole and the geothermal energy extraction hole, and combined development of the coal gas and geothermal energy in the mining influence body is achieved. According to the application, transformation and upgrading of coal resource development from single energy acquisition to multi-energy collaborative, efficient and clean utilization are promoted.

The invention relates to the field of coal-based graphite purification monitoring management, and particularly discloses an operation data acquisition optimization analysis system based on a coal-based graphite purification system.The operation data acquisition optimization analysis system is characterized in that technological parameters of raw material pretreatment are preliminarily set, and the technological parameters are optimized according to particle size distribution after raw material pretreatment; preliminarily setting technological parameters of acid leaching, and optimizing the technological parameters according to the acid consumption rate and the reaction heat release temperature in the acid leaching process; preliminarily setting process parameters of alkali neutralization, and optimizing the process parameters according to the neutralization rate of the alkali neutralization process; preliminarily setting process parameters of washing and dewatering, and optimizing the process parameters according to the conductivity of a washing solution for washing and dewatering and the water content of a filter cake; preliminarily setting drying process parameters, and optimizing the process parameters according to the residual moisture content after drying; the self-adaptive optimization of key process parameters of each process link of coal-based graphite purification is realized, and the production efficiency and the product quality of coal-based graphite purification are better guaranteed.

The invention belongs to the field of rare earth extraction processes, and particularly relates to a closed-loop dressing and smelting process for coal-series associated rare earth mineral resources based on a DESs solvent. Comprising the following steps: taking a sample, carrying out ball milling, adding a leaching agent into the sample after ball milling, leaching the ion adsorption type rare earth elements in the sample, and stirring to obtain a turbid solution; adding a precipitant into the leachate, and then carrying out solid-liquid separation to obtain supernate and precipitates; taking supernate and analyzing the extraction efficiency of the rare earth elements through inductively coupled plasma mass spectrometry (ICP-MS); and adding deionized water into the obtained supernate to recover the leaching agent for next use. The invention aims to obtain a series of deep eutectic solvent (DESs) systems capable of efficiently leaching coal series associated rare earth mineral resources, so that the efficient separation and leaching of ion adsorption type rare earth elements in coal ores are realized; and by utilizing the reversibility of DESs, the recycling of the DESs solvent and the closed-loop dressing and smelting process of coal-series associated rare earth mineral resources are realized.

The present invention relates to a method for predicting sandstone reservoirs in coal-bearing strata, belonging to the technical field of predicting sandstone reservoirs in coal-bearing strata. The present invention utilizes the difference in frequency attenuation of seismic waves propagating in sandstone and mudstone in coal-bearing strata. First, forward modeling is performed on the well logging data of the wells with measured sandstone reservoirs obtained to obtain the corresponding pre-stack gathers; then, the well logging data of the sandstone section in the well is replaced with mudstone well logging data, and forward modeling is performed again using the replaced data to obtain the corresponding pre-stack gathers; frequency analysis is performed on the pre-stack gathers obtained before and after replacement to determine the attenuation of the reflected waves in the sandstone section; the pre-stack gathers of the target area to be predicted are obtained, and sandstone prediction is performed on the target area according to the attenuation of the reflected waves in the sandstone section. The present invention does not require complex post-stack data processing, reduces the errors caused by data processing, and improves the prediction accuracy.

The invention discloses a non-coal measure stratum natural gas displacement mathematical model construction method. The method comprises the following steps that gas migration equations are established, wherein the gas migration equations comprise the step of establishing a rock mass pore gas diffusion motion control equation and the step of establishing a stratum fracture gas seepage equation; establishing a stratum rock mass deformation control equation; establishing a dynamic porosity and permeability change control equation: establishing a rock mass porosity dynamic change equation, establishing a stratum fracture rate dynamic change equation and establishing a permeability dynamic change equation; and establishing a non-coal measure stratum natural gas displacement mathematical model based on the above steps. The non-coal measure stratum natural gas displacement mathematical model is established by combining the non-coal measure stratum natural gas displacement characteristics, and a scheme which is good in treatment effect, low in cost and high in efficiency is provided for non-coal measure stratum natural gas emission.

The invention discloses a method and device for identifying a coal reservoir, and the method comprises the steps: obtaining a coal rock sample of a target interval, and carrying out a thermogravimetric experiment on the coal rock sample; performing image analysis on data obtained by the thermogravimetric experiment to determine a first coal series reservoir; performing thermogravimetric mass spectrometry data analysis on the coal rock sample corresponding to the first coal series reservoir; and determining a final coal reservoir according to a thermogravimetric mass spectrometry data analysis result.

The invention relates to the technical field of unconventional resource development, in particular to a method and a device for determining lithology space-time distribution characteristics of coal measure gas, and the corresponding method comprises the following steps: building a sequence stratigraphic framework of a target work area according to rock debris logging data and logging data of the target work area; determining dominant storage lithology corresponding to each coal series gas; according to the sequence stratigraphic framework and the advantage storage lithology corresponding to each type of coal measure gas, establishing a well connection section and a lithology plane graph; and according to the well connection profile and the lithologic plan, determining the lithologic spatial-temporal distribution characteristics of the coal-series gas. The effective determination method of the lithology space-time distribution rule is formed on the basis of combination of the sequence strata, the rock core and the logging, rock core constraint, logging lithology correction and high-precision sequence strata isochronous framework constraint, and then the lithology space-time distribution rule of coal bed gas, coal series shale gas and coal series tight sandstone gas evaluation is determined.

The application provides a roof coal series aquifer post-mining partition grouting aquifuge reconstruction method and related equipment, aiming at the problem of coal seam roof water disaster control after mining, by comprehensively considering the geological parameters and stratum distribution parameters of the target mining area, the accurate analysis of the hydrogeological characteristics of the coal seam roof rock stratum is realized. Then, the development height of the water flowing fractured zone is accurately determined by using the distribution characteristic algorithm and the numerical simulation algorithm, and then the correlation between the water flowing fractured zone and the hydrogeological characteristics is analyzed in depth by using the distribution relationship algorithm, so that the difference of different geological conditions can be fully considered, therefore, the grouting treatment according to the target grouting treatment strategy of the post-mining coal seam roof determined based on the distribution relationship can significantly improve the pertinence of water disaster control, avoid the problem of poor grouting treatment effect caused by complex geological conditions, and effectively reduce the risk of coal seam roof water disaster.

The present invention discloses a method for underground sand and coal dust prevention in a combined-layer coalbed methane well. Two upper and lower drainage devices are provided in the combined-layer coalbed methane well. First, a combined-layer development coalbed methane well with a two-wellbore structure is constructed on the ground, and the lower structural coal and the upper native structural coal are subjected to fracturing transformation in sequence. A packer is used to suspend a lower drainage pipe string at the top plate of the structural coal producing layer, so that the return fluid, formation water, and coalbed methane produced by the structural coal producing layer can enter the interior of the lower drainage pipe string through the wire-wound screen pipe. At the same time, the proppant and coal dust produced in large quantities by the structural coal producing layer are blocked from entering the drainage pipe string, and the proppant and coal dust are caused to sink to the bottom of the artificial well under the action of gravity. The lower drainage pipe string is used to prevent sand and coal dust, reduce the risk of pump sticking, and ensure the continuity of the drainage process of the combined-layer development coalbed methane well. It is particularly suitable for coalbed methane drainage under conditions where the coal body structure of the main coalbed methane producing layer in the middle and lower coal measures is broken and a large amount of sand and dust is expelled during combined-layer drainage.

The embodiment of the invention provides a simulation experiment device and method for coal-series gas enrichment, and relates to the technical field of natural gas exploration and development. The simulation experiment device for coal series gas enrichment comprises a first reaction cabin, a second reaction cabin and a third reaction cabin which are sequentially communicated and stacked, the first reaction cabin is used for containing a bottom rock sample, the second reaction cabin is used for containing a coal seam sample, and the third reaction cabin is used for containing a top rock sample; the injection system is communicated with the first reaction cabin; the first reaction cabin, the second reaction cabin and the third reaction cabin are respectively provided with at least one stress loader and at least one heater. Through collaborative design of multi-cabin layered sample bearing and independent stress and temperature regulation, confining pressure constraint and interlayer stress transfer of a top plate rock sample and a bottom layer rock sample to a coal seam sample are accurately simulated, the real occurrence environment of coal series gas in a stratum is reduced, the influence of interlayer stress on coal series gas enrichment is prevented from being ignored, and obtained experimental data are more reliable.

The invention belongs to the technical field of coal mine water quality formation and evolution. A coal mine water quality formation and evolution simulation device comprises a constant temperature control box used for controlling the temperature in the constant temperature control box to be in a constant temperature state; the spraying end of the spraying device is arranged in the constant-temperature control box, and the spraying device is used for spraying water into the constant-temperature control box; the hydrological structure layer is arranged below the spraying end of the spraying device, so that the spraying end sprays liquid, and the liquid is absorbed by the hydrological structure layer; the coal measure stratum is arranged on the lower end face of the hydrological structure layer and used for simulating an actual coal mine; the first water-resisting layer is arranged on the lower end face of the coal measure strata and used for isolating the coal measure strata; the rock stratum is arranged on the lower end face of the first water-resisting layer and used for simulating a rock caving area in the coal mining process; the water flowing fractured zone extends to the first water-resisting layer from the hydrological structure layer and is used for simulating fractures in the stratum; and a monitoring section of the multi-index monitoring system is arranged at a water outlet of the caving rock zone and is used for monitoring water quality.

The invention relates to the technical field of beneficiation and purification of cryptocrystalline graphite, in particular to a beneficiation method of coal-series cryptocrystalline graphite. The beneficiation method specifically comprises the following steps that raw ore is crushed to be smaller than 15 mm, products with the particle size smaller than 0.5 mm are screened out, and tailings of the products with the particle size of 0.5-15 mm are discarded in advance in a heavy liquid floating and sinking mode; the obtained gravity concentrate is combined with a product with the particle size smaller than 0.5 mm and crushed to be smaller than 0.5 mm for ore grinding and flotation; and stage grinding and stage grading are adopted, namely two times of grinding, one time of roughing, one time of scavenging and six times of concentration. According to the beneficiation method, tailings are discarded in advance, the content of gangue entering flotation is reduced, the influence of gangue argillization mixed in foam on flotation indexes is relieved, the beneficiation cost and reagent consumption are reduced, the graphite concentrate with the fixed carbon grade being 90% or above is obtained, and efficient utilization of coal-series cryptocrystalline graphite is achieved.

This invention belongs to the field of quartz sandstone purification technology, specifically relating to a simple purification method for coal-based graphite, comprising the following steps: crushing low-grade coal-based graphite as raw material to obtain crushed coal-based graphite; mixing the crushed coal-based graphite with solid alkali and flux, followed by calcination and alkali fusion treatment to obtain calcined and alkali-fused coal-based graphite; acid leaching the calcined and alkali-fused coal-based graphite, followed by water washing, filtration, and drying to obtain high-grade coal-based graphite. Compared with existing graphite purification technologies, this invention does not require costly and hazardous reaction reagents or harsh conditions of high temperature and high pressure, and has advantages such as high graphite product purity, simple processing, convenient operation, mild conditions, environmental friendliness, and low cost. Using low-grade coal-based graphite with a fixed carbon content of 65%–85% as raw material, the process of this invention can obtain high-purity graphite with a fixed carbon content greater than 99.5%.

The application discloses a kind of complex coal measures strata double horizontal well cyclic injection CO2 vertical displacement coalbed gas mining method, belong to coalbed gas development technical field.Deep coal measures strata is selected as purpose layer, and two single branch horizontal wells are drilled in the same well group.One horizontal section is located at the top of purpose layer for coalbed gas extraction and fracturing;Another horizontal section is located at the bottom of purpose layer for injecting liquid CO2.Before extraction, by continuously injecting liquid CO2 into the bottom of purpose layer, the displacement and displacement effect of CO2 on CH4 are used to improve the recovery of deep coalbed gas;During extraction, part of CO2 is extracted with CH4, and the extracted CO2 is liquefied and recycled into the bottom of purpose layer through CO2 separation device;At the end of extraction, most of CH4 has been extracted, and the horizontal well is sealed to prevent CO2 from leaking, achieving the purpose of CO2 storage.The method is simple and easy to implement, and can be used for complex structure of purpose layer.

The invention provides a coal measure strata tight sandstone gas earthquake identification method and device, and relates to the technical field of earthquake gas reservoir prediction, and the method comprises the steps: carrying out the coal seam multiple suppression processing of the seismic data of a target work area, and obtaining the preprocessed seismic data; generalized S transformation is carried out on the preprocessed seismic data to obtain time-frequency spectrum data; extracting a plurality of gas layer sensitive time-frequency attributes from the time-frequency spectrum data; and performing multi-attribute well control fusion processing on the plurality of gas reservoir sensitive time-frequency attributes to obtain a gas reservoir sensitive factor, and based on the gas reservoir sensitive factor, generating an earthquake identification map for identifying the tight sandstone gas of the coal measure strata. According to the method, the data signal-to-noise ratio is increased by pressing coal bed interlayer multiples, multi-angle gas bed sensitive time-frequency attributes are extracted through high-resolution time-frequency analysis, a visual recognition map is generated through well control fusion, the problem that tight sandstone gas weakness response is difficult to recognize due to coal bed strong shielding is systematically solved, and the method has the advantages of being high in practicability and the like. And the identification precision and reliability are improved.

The present application relates to the technical field of geological modeling, in particular to a deep stratum petrophysical modeling method under complex lithology background, comprising the following steps: well logging data preprocessing, mineral model optimization processing, petrophysical modeling and shear wave prediction, and verification of the accuracy of the petrophysical model in predicting shear wave. The present application adopts four mineral models of quartz-clay model, calcite-clay model, coal and bauxite, respectively, and performs optimal multi-mineral model processing in stratigraphic sections, so as to obtain the petrophysical modeling of deep coal measure stratum complex lithology combination and pore structure under shear wave prediction, and improve the accuracy of shear wave prediction.

The invention discloses a monitoring method and system based on a coal-series plastic seepage-resistant layer, and the method comprises the steps: delimiting a monitoring region of the coal-series plastic seepage-resistant layer, collecting micro-seismic data and geological exploration data in the monitoring region, drawing a geological structure map, marking a bearing layer, a critical layer and an external layer in the geological structure map, wherein the bearing layer is located at the overlying and underlying positions of a coal mining operation area, the external connection layer is located at the boundary of a monitoring area, the joint part of the bearing layer and the external connection layer is a critical layer, a deployment route of the distributed optical fibers in the bearing layer is set, and a plurality of key nodes are selected from the deployment route and defined as the installation positions of the branching devices. According to the method, the abnormal section is searched, so that the local deformation or offset area of the coal-series plastic seepage-resistant layer and the adjacent layer position can be accurately positioned, the dynamic risk assessment and real-time early warning of the monitoring area are effectively realized, and the long-term stability and safe operation of the coal mining process are ensured.

The present application relates to the field of coal fluidized mining, especially to a coal microbial gasification method for simulating in-situ coal seam environment in laboratory, which comprises the following steps in sequence: (1) preparing coal rock sample; (2) forming injection channel; (3) microbial culture; (4) stress and temperature loading; (5) nutrient solution injection; (6) effect test; the present application proposes a coal microbial gasification method for simulating in-situ coal seam environment in laboratory, which simulates the rock stratum and ground stress environment where the coal seam is located, studies the influence of rock stratum mineral matter on microbial growth and ground stress on gas-liquid transmission, and the laboratory test is closer to in-situ environment, improves the accuracy of laboratory data, and promotes the transfer of the technology to the field.

The invention relates to the technical field of tunnel construction, in particular to a mountain coal measure stratum high-temperature steam injection fracturing method and system. According to the fracturing method, continuous and real-time monitoring of temperature field spatio-temporal evolution in the fracturing process is achieved through a distributed optical fiber temperature sensing technology; a micro-seismic signal generated by fracturing is captured through a distributed optical fiber sound wave sensing technology, underground apparent shear wave velocity profile imaging is obtained, multi-parameter collaborative analysis and fusion are carried out on temperature field evolution, micro-seismic event spatial distribution and apparent shear wave velocity profile changes before and after fracturing, and comprehensive and accurate delineation of a hot steam injection fracturing influence range is achieved; the fracturing system is based on the high-temperature steam injection fracturing method for the mountain coal measure strata, the structure is simple, arrangement is easy, the fracturing effect under the thermal-mechanical coupling effect in the hot steam injection fracturing process can be accurately represented in real time, and an effective means is provided for optimizing gas extraction of the mountain coal measure strata and guaranteeing tunnel construction safety.

The invention discloses a coal measure tight sandstone thin reservoir prediction method based on seismic frequency division configuration inversion, and relates to the technical field of oil-gas exploration and development, and the method comprises the steps: 1, collecting logging curve data, and carrying out the standardization processing; 2, performing wavelet transform on the standardized data to extract a signal, and reconstructing the extracted signal through wavelet inverse transform to obtain a pseudo-wave impedance curve; 3, constructing a frequency division configuration model according to the simulated wave impedance curve and the collected seismic data; 4, according to the frequency division configuration model, random inversion is carried out through a Markov chain Monte Carlo random algorithm, and reservoir parameters are obtained. According to the method, phase control-logging-seismic data are combined, and frequency division configuration inversion is fused into the lithology and fluid sensitive reconstruction curve to realize accurate prediction of the coal measure tight sandstone thin reservoir.

The invention discloses an inversion method and device for a longitudinal-transverse wave velocity ratio of a coal measure strata, and the method comprises the steps: determining the longitudinal-transverse wave velocity ratio reflectivity of a target interval according to the prestack angle gather data of the target interval, and extracting the attribute data of the longitudinal-transverse wave velocity ratio reflectivity through employing the AVO technology; according to the longitudinal and transverse wave velocity ratio curve, the attribute data of the longitudinal and transverse wave velocity ratio reflectivity and preset wavelet extraction time window parameters, wavelet extraction is carried out on the target layer section through the wavelet extraction technology; the longitudinal and transverse wave velocity ratio curve is determined according to logging data; and according to the wavelet and the attribute data of the velocity ratio reflectivity of the longitudinal and transverse waves, performing post-stack compressed sensing reflection coefficient inversion to obtain an inversion result of the velocity ratio reflectivity of the longitudinal and transverse waves. According to the invention, a stable inversion result of the longitudinal and transverse wave velocity ratio can be effectively obtained.

The present invention relates to the technical field of coal-bearing stratum condensate gas genesis analysis, and in particular to a coal-bearing stratum condensate gas genesis model evaluation method. 13 The error caused by the natural gas maturity calculated by C1 is used to study the origin of coal-bearing condensate gas efficiently and at low cost. 13 C1 and natural gas drying coefficient C1 / C 1‑5 Carry out natural gas source comparison in coal-bearing strata, conduct oil-source comparison through characteristic biomarker compounds, clarify the organic matter type and maturity distribution stage of coal-bearing source rocks, and clarify whether coal-bearing source rocks themselves can generate condensate gas. Based on the distribution characteristics of the PVT phase state of oil and gas reservoirs in the oil and gas reservoir profile, combined with the coal-bearing source rock type, oil-source comparison and whether the source rock itself can produce condensate gas, comprehensively evaluate the cause of condensate gas in coal-bearing strata.