4000 results about "Methane" patented technology

The invention relates to the technical field of intelligent inspection, in particular to a pipeline inspection abnormal hidden danger intelligent identification system based on an unmanned aerial vehicle. According to the invention, the three-dimensional grid construction is carried out on the data collected by the unmanned aerial vehicle in the inspection process, so that the space division of the inspection area is realized, and the detection of the gas pipeline has higher precision. In combination with hyperspectral data analysis, measurement of methane concentration can be accurately mapped to space grid points, interference of environmental factors is reduced, and preliminary recognition accuracy of a leakage area is improved. On the basis of local concentration gradient calculation, through a data smoothing and diffusion optimization method, the boundary of a leakage area is clearer, interference of environmental noise is eliminated, meanwhile, the concentration value is dynamically adjusted, and the adaptive capacity to the change trend of leakage points is enhanced. By means of the construction of the virtual diffusion field and in combination with the space occupation condition of terrain obstacles, the analysis of the gas flow path is more accurate, and the problem of misjudgment caused by terrain complexity is solved.

Disclosed herein are methods and systems for producing a liquefied methane product from a methane- and carbon dioxide-containing feed stream, in which a plurality of membrane stages comprising gas separation membranes that are more permeable to carbon dioxide than methane are used to remove carbon dioxide from the feed and form a retentate stream that is enriched in methane, said retentate stream being then cooled and liquefied to provide the liquefied methane product. In particular, the disclosed methods and systems may be used for producing liquefied biomethane from a biogas feed.

The invention relates to the technical field of coal mine telemetering, in particular to a mining laser methane telemetering system based on multispectral fusion, which comprises a multispectral laser emission module, an optical receiving and signal conversion module, a multispectral fusion processing module, an intelligent algorithm compensation module, a data transmission and display module and a power supply module. According to the method, accurate and real-time monitoring of the methane concentration in the coal mine environment is achieved, reliable guarantee is provided for coal mine safety production, compared with a traditional neural network compensation model, the optimized neural network compensation model has the advantages that the methane concentration compensation precision is greatly improved, the generalization ability of the model to different environment conditions is obviously enhanced, and the method is suitable for popularization and application. Accurate measurement of methane concentration can be realized in a more complex and changeable coal mine environment. Meanwhile, due to the application of a dynamic weight compensation mechanism and an uncertainty quantification and compensation adjustment method, the reliability and the stability of a measurement result are further improved, and a more powerful guarantee is provided for safe production of a coal mine.

The invention relates to an abandoned mine methane source detection-monitoring-analysis method and system based on air-ground cooperation, and belongs to the technical field of coal mine safety monitoring. The method comprises the following steps: carrying a high-sensitivity CH4 detection device and a camera by an unmanned aerial vehicle, carrying out aerial inspection according to a route, and carrying out source detection and inspection on methane distribution around the abandoned mine by returning three-dimensional concentration; the method comprises the following steps: deploying holder laser telemetering equipment and meteorological sensors in a wellhead, a fracture dense area and an air flow path, and transmitting monitoring data through LoRa / ZigBee; the method comprises the following steps: fusing air-ground data, constructing a methane concentration gradient field and a diffusion model, and predicting a leakage trend while performing large-range and continuous monitoring in combination with geological and meteorological data; and the system triggers multi-stage early warning and automatically starts emergency response. According to the invention, all-directional and high-precision monitoring of CH4 in the abandoned mine is realized, the leakage source positioning error is less than 5m, the response efficiency is improved, the operation and maintenance cost is reduced, the explosion and environmental pollution risks are effectively prevented and controlled, and the safety management level of the abandoned mine is improved.

The invention relates to the technical field of urban public safety, in particular to an underground gas pipe network safety pre-warning system, which comprises an acquisition module, a monitoring module, a monitoring module and a control module, and is characterized in that the acquisition module is used for arranging sensing nodes at key positions of a gas pipeline body and a surrounding environment to form a distributed monitoring network; the method comprises the following steps: synchronously acquiring mechanical deformation, methane concentration and mechanical vibration data of a pipeline through a distributed monitoring network to obtain a multi-modal sensing data set; the fusion module is used for performing humidity and temperature interference correction on the methane concentration data in the multi-modal sensing data set to obtain corrected methane concentration data; and performing fusion processing on the mechanical deformation data, the mechanical vibration data and the corrected methane concentration data to obtain an initial pipeline safety state evaluation index. Through multi-source data fusion, environmental interference correction and spatial domain calibration, transmission and dynamic analysis are combined, and precise early warning and efficient linkage disposal of the safety state of the gas pipe network are achieved.

The invention relates to the field of environmental monitoring, and discloses a plateau region carbon emission monitoring management method and system, electronic equipment and a medium, and the method comprises the following steps: constructing an atmospheric boundary layer dynamic model for a plateau low-pressure and strong-turbulence environment, and achieving environmental adaptability modeling by correcting a turbulence diffusion coefficient and localized combustion efficiency; based on unmanned aerial vehicle group dynamic path planning and a ground station collaborative sensing network, flight parameters are adjusted in real time in combination with the concentration gradient, and time-space continuous multi-source fusion monitoring data are generated; a high-resolution carbon emission field is output through embedding a combustion efficiency correction factor and a space correlation graph structure by adopting a data assimilation algorithm with mixed ensemble Kalman filtering and a graph convolutional network; and constructing frozen soil degradation index parameters, and driving a transfer learning early warning model to realize methane flux dynamic prediction and multi-stage early warning triggering. According to the invention, the problems of insufficient carbon emission monitoring precision and lack of frozen soil degradation correlation evaluation in a plateau complex environment are solved.

The invention relates to the field of methane change dynamic traceability analysis, and discloses a methane change dynamic traceability analysis and early warning system based on artificial intelligence, and the system comprises a data collection module which collects methane concentration data, constructs a two-state three-dimensional monitoring network, and calculates a relative standard deviation; the multi-source analysis module is used for merging calibration environment data, generating a three-dimensional matrix, iteratively updating a class cluster mean value and judging whether a burst leakage traceability process is triggered or not; capturing a time sequence dependency relationship, adding abnormal data optimization, analyzing and triggering residual drive and retraining; the anomaly recognition module is used for constructing a four-dimensional source feature matrix and dynamically adjusting the source feature weight; constructing an observation data matrix, and solving the contribution proportion of each source to the methane concentration; iteratively optimizing the source intensity parameter until convergence; and the early warning response module is used for dynamically updating a historical residual mean value and a standard deviation, judging a response level, reversely tracking an air mass track, positioning a potential emission source coordinate, and triggering a corresponding early warning response if an abnormal degree condition is met.

The invention belongs to the field of fuel gas leakage cruise detection, and discloses underway type vehicle-mounted laser fuel gas leakage detection equipment and method, and the equipment comprises a pumping type laser methane ethane detector, an overhead telemetering laser methane detector, and an unmanned vehicle. A pumping type laser methane ethane detector and an overhead telemetering laser methane detector are integrated with an unmanned vehicle, and all-directional dead-corner-free gas concentration detection of fuel gas from a near field to a far field is realized through an active sample extraction or remote laser telemetering technology. More importantly, through a data false alarm filtering algorithm and a gas leakage tracing algorithm, the methane leakage source can be accurately judged, the equipment false alarm rate can be reduced, the leakage source point can be positioned, and a high-efficiency and high-precision solution is provided for safety monitoring and management of an urban gas pipe network.

The invention relates to the technical field of wall-hanging stoves, in particular to a wall-hanging stove gas safety monitoring and alarming system based on an optical sensor, which comprises a spectrum sensor calibration module, a gas spectrum analysis module, a leakage dynamic monitoring module and a leakage type identification module. According to the invention, by finely adjusting the sensitivity of the spectrum sensor and optimizing the calibration of the optical element, the detection capability on key gases such as methane and carbon monoxide is improved, and the absorption peak value in multi-wavelength spectrum data can be accurately captured and analyzed, so that the system is more accurate in monitoring gas concentration and composition; by analyzing the time sequence distribution of the absorption peak value and combining the correlation between the spectrum peak value and the energy, the system can effectively identify key energy characteristics, the real-time performance of monitoring and the accuracy of early warning are further enhanced, the system monitors the change trend of the energy value in real time and is matched with threshold value setting, and the accuracy of early warning is improved. It is ensured that an alarm is triggered quickly when any abnormal leakage is detected.

The invention provides a coal-bed gas well production dynamic analysis method and system based on AI time sequence prediction, and the method comprises the steps: firstly collecting a production dynamic data sequence of a coal-bed gas well, a corresponding well position geological condition data sequence and a surrounding environment data sequence, and constructing a ternary time sequence dynamic association network comprising node dynamic time sequence segments and a connection line real-time association relationship; and then calling a pre-trained AI time sequence coupling deviation evolution mining model to process the ternary time sequence dynamic association network to obtain a ternary time sequence coupling deviation result. And a deviation conduction closed-loop path is determined according to a ternary time sequence coupling deviation result in combination with forward conduction positioning and reverse tracing verification, and a deviation conduction analysis report is generated. And finally, generating a dynamic regulation strategy based on the deviation conduction analysis report in combination with a production dynamic prediction threshold value, outputting the dynamic regulation strategy to a production control terminal, and meanwhile, feeding back regulation data to update a network node association relationship, thereby realizing accurate analysis and regulation of the production dynamic state of the coal-bed gas well.

The invention relates to a horizontal well jet flow axial slotting pressure relief coal and coal bed gas co-mining method. The method comprises the steps of horizontal well building, axial continuous hydraulic slotting, coal bed drainage pressure relief and coal and coal bed gas co-mining. The axial continuous hydraulic slotting comprises the steps that a casing pipe is put into a horizontal well; a plurality of slots are formed in the sleeve, and a directional structure is arranged in the sleeve; the water jet tool pipe column is tripped into the casing pipe, and the lateral nozzle is kept to move directionally along the directional structure; when the lateral nozzle is aligned with the foremost slot, high-pressure water sprayed by the lateral nozzle penetrates through the foremost slot to impact the coal seam, and high-pressure water sprayed by the axial nozzle pushes the oil pipe to retreat; when coal seam slotting at each slot is completed, water injection is stopped, and the oil pipe is pulled backwards; when the lateral nozzle is aligned with the next slot, the high-pressure water sprayed out of the lateral nozzle penetrates through the next slot to impact the coal seam, and the high-pressure water sprayed out of the axial nozzle still pushes the oil pipe to retreat; and the steps are repeated till coal seam slotting at the last seam groove is completed.

The invention discloses a fuel gas intelligent valve with point type laser methane sensors, and relates to the field of fuel gas intelligent valves, and the fuel gas intelligent valve comprises an equipment installation module which is used for installing three point type laser methane sensors and collecting interface methane concentration values; the data acquisition module is used for acquiring pipeline parameters and environment parameter data inside and outside the interface; the risk assessment module is used for calculating the methane concentration change rate according to the methane concentration value and assessing whether gas leakage exists at each interface; the fuel gas leakage positioning module is used for constructing a fuel gas leakage positioning model based on a neural network and acquiring the probability of the fuel gas leakage risk at each interface; the valve self-adjusting module is used for determining whether the gas leakage point is a leakage point or not according to the gas leakage risk probability; and the historical data analysis module is used for calculating the precision ratio, the recall rate and the F1-Score value by using the historical data and the field actual measurement result. The leakage risk of the gas pipeline is effectively diagnosed and positioned, and the opening degree of the valve is intelligently controlled.

The invention relates to the technical field of environmental science, in particular to a box-type model-based inversion method for methane sulfonic acid particles in marine droplet aerosol, which comprises the following steps of: 1, acquiring satellite remote sensing data, ground observation data and laboratory simulation data, and carrying out data standardization processing; 2, dividing the target sea area into a plurality of sub-areas as independent box bodies; 3, calculating the discharge flux of the marine droplet aerosol based on the dimethyl sulfide concentration and the wind speed, and updating the spatial and temporal distribution of the discharge source; 4, embedding a chemical reaction path for oxidizing dimethyl sulfide on the surface of the aerosol into the box-type model to generate methanesulfonic acid, and introducing the specific surface area of the aerosol to correct the reaction rate; and step 5, outputting spatio-temporal distribution of the concentration of the methane sulfonic acid, and comparing measured data for verification. The accuracy of aerosol source item estimation is improved, the fusion efficiency of multi-source data is improved, and the adaptive capacity of the model in a complex environment is enhanced.

The invention discloses a methane point source emission remote sensing recognition and plume extraction method and a methane point source emission remote sensing recognition and plume extraction system, belongs to the technical field of methane point source recognition, and solves the problems of incomplete methane plume extraction and lack of morphological characteristics of an extraction result in a traditional signal filtering method by introducing threshold segmentation, spatial continuity and geographic space constraints. And the method has good applicability to the multi-point dissipation condition in the after-mine activity process of a coal mine area.

The invention provides a comprehensive energy system optimization scheduling method considering biogas reforming hydrogen production and fuel gas hydrogen doping. The method comprises the steps that S1, a comprehensive energy system structure containing biogas reforming hydrogen production and fuel gas hydrogen doping is established; s2, establishing a methane reforming hydrogen production, hydrogen-doped gas turbine and stepped carbon transaction model; s3, establishing an optimal scheduling model of the comprehensive energy system containing methane reforming hydrogen production; s4, wind and light output, load and time-sharing electricity price data of the system are obtained; and S5, solving the scheduling model in the step S3, verifying the economical efficiency and low-carbon property of the methane reforming hydrogen production method, and analyzing the benefits of hydrogen-doped combustion. And multi-element production of hydrogen energy is realized. A green route for converting biomass energy into hydrogen energy is provided, and through comparative analysis of a hydrogen production energy source and a hydrogen production scheme, external gas purchase is reduced, and the carbon emission of converting biomass into heat energy is reduced. And multi-element utilization of hydrogen energy is realized. And absorption of wind and light new energy is promoted. And a stepped carbon transaction mechanism is introduced.

The invention relates to the technical field of environment detection, discloses a mine methane detection system based on automatic environment compensation, effectively solves the problem of insufficient methane detection precision in a complex environment, and remarkably improves the reliability of a measurement result. The system can track environmental parameter changes in real time and implement dynamic compensation, and measurement deviation caused by a traditional fixed compensation method is avoided. The optimized data processing flow ensures the timeliness of the detection result, and provides accurate data support for underground safety operation. The safety protection capability of the system is further enhanced through a multi-stage early warning mechanism and redundant communication design, and all-directional monitoring of the mine methane concentration is achieved. The problems that an existing methane detection system is large in measurement error and weak in anti-interference capability due to the single sensor type are solved. And meanwhile, the defects of false alarm and missing alarm caused by incapability of identifying sensor performance degradation in time are overcome.

The invention discloses an on-line full-supercooling methane filling system and a filling method thereof, and relates to the technical field of rocket fuel filling systems, the on-line full-supercooling methane filling system comprises a first methane storage tank, a second methane storage tank, a first gas storage tank, a second gas storage tank, a second gas storage tank and a pre-cooling discharge pipeline, the first gas storage tank is connected with a rocket propellant storage tank and the pre-cooling discharge pipeline through a tube pass of a supercooler; the second methane storage tank is connected with the tube pass of the subcooler through a second pipeline; and the liquid nitrogen storage tank is provided with a third pipeline, and the third pipeline is connected with the shell pass of the subcooler. According to the on-line full-supercooling methane filling system, the technical problem that the risk of failure of a launching task is increased due to the fact that liquid level control is unstable when on-line supercooling filling is conducted on a rocket is solved, and the risk of failure of the launching task is increased when the flow in the methane filling process is adjusted. The flow of methane in the tube pass of the subcooler and the liquid level of liquid nitrogen in the shell pass of the subcooler are controlled to be unchanged, the situation of methane icing caused by unstable liquid level control is avoided, and then the risk of failure of a launching task is reduced.

The invention relates to the technical field of preparation of catalysts, in particular to a catalyst for in-situ capture of carbon dioxide, a preparation method of the catalyst and application of the catalyst to preparation of methanol from methane, and the preparation method comprises the following steps: S1, mixing and stirring Bi (NO3) 3.5 H2O, dilute nitric acid and an adsorption modifier; s2, filtering to obtain a white precipitate, drying, slowly heating to 450 DEG C in a muffle furnace, and keeping the temperature for 20-30 minutes to obtain a faint yellow solid; s3, dispersing in a modified dissolving solution, sealing the reactor, and purging with argon for 10-15 minutes; and S4, injecting CH4, reacting for 2 hours under the irradiation of a xenon lamp, washing a solid obtained by suction filtration with deionized water, and drying at 60 DEG C for 10-12 hours to obtain the high-performance catalyst. The invention aims at the field of preparation of high-value chemicals from photocatalytic methane, solves the problem of generation of carbon dioxide by peroxidation of methane, and captures the peroxidation product carbon dioxide through the cooperation of the adsorption modifier and the modified dissolving solution to inhibit peroxidation of methane.

The invention discloses a titanium dioxide nanotube confinement catalyst for methane dry reforming and a preparation method and application thereof, a transition metal element is used as an active phase, the titanium dioxide nanotube confinement transition metal element catalyst is modified by a rare earth metal element, and the weight of the methane dry reforming catalyst is used as a reference. The content of the transition element is 1-10%, preferably 1-5%, and the content of the rare earth element is 1-5%, so that the problems of activity reduction and poor stability caused by easy generation of carbon deposition of the methane dry reforming catalyst in the prior art are solved.

Disclosed herein are membrane-based gas separation methods and systems. The methods and systems may, in particular, be used for separating a feed stream comprising methane and carbon dioxide (such as for example a biogas feed stream) in order to provide a methane product stream (such as for example a biomethane stream).

The invention discloses a coal seam chemical outburst elimination method based on molecular dynamics, which belongs to the field of coal mine safety, and comprises the following steps: sampling and analyzing to obtain the element proportion, group composition and chemical bond connection mode of a coal sample, constructing a real coal molecular skeleton, and reducing and optimizing the molecular structure of coal by molecular simulation; the method comprises the following steps: adding a surfactant, setting the real gas content, gas pressure and environment temperature of a coal seam, establishing a micro model after the surfactant is injected into the coal seam, simulating the occurrence state and reaction process of methane molecules in the coal seam under the action of the surfactant, and determining the methane content in the coal seam by combining the migration characteristics of the methane molecules and the energy change of the system. And the concentration of the injected surfactant is optimized, so that the engineering application of large-range industrial water injection outburst elimination of the coal seam is developed. According to the method, through molecular simulation, the complex occurrence characteristics of the coal seam are considered, the concentration of the injected surface active agent is optimized, and the hydraulic measure efficiency is improved.

A system for generating methane includes a scrubber, a stripper, a vacuum pump, a water separator, and a Sabatier reactor. The scrubber is configured to absorb one or more contaminants from an air stream into a liquid sorbent, in which the one or more contaminants include carbon dioxide. The stripper is configured to desorb the one or more contaminants from the liquid sorbent. The vacuum pump is configured to pressurize the desorbed contaminants to a reaction pressure of the carbon dioxide. The water separator is configured to remove water from the pressurized, desorbed contaminants. The Sabatier reactor is configured to generate the methane from the carbon dioxide of the pressurized, desorbed contaminants.

A thermochemical system and method for thermochemical decomposition of a hydrocarbon feedstock such as methane or natural gas within an insulated volume where the important elements of the thermochemical system are located within the insulated volume. The insulated volume contains a heater and a thermal energy storage medium in thermal communication with the heater such that it is heated by the heater and stores the thermal energy it receives by a heat storage process. The thermal energy storage medium is also configured to release the thermal energy that it stored in the form of a released heat. The insulated volume also contains a hydrocarbon pyrolysis reactor thermally coupled with the thermal energy storage medium to receive the released heat and use it for driving pyrolysis of the hydrocarbon feedstock to produce pyrolysis products containing primarily hydrogen and a solid carbon product. Pyrolysis of the hydrocarbon feedstock is driven at a high temperature, such as between 700 ° C and 2, 000 ° C.

The present invention relates to a process and a system for the production of hydrogen and carbon by catalytic non-oxidative decomposition of hydrocarbons, such as saturated C1+ hydrocarbons, such as methane, in the presence of a fresh or a spent catalyst composition comprising at least one carbon catalyst. The process of the invention is characterised in that the fresh or spent catalyst composition is heated by means of induction heating to a temperature comprised between 500° C. and 1100° C. The catalyst compositions as applied in accordance with the invention comprise, and preferably consist of, (I) a first component, wherein said first component is selected from one or more non-porous carbon catalysts and / or one or more porous carbon catalysts; and (II) optionally, a second component, wherein said second component consists of a non-carbon material, and preferably is a ceramic or zeolitic support material. Further provided are a spent catalyst obtained when carrying out a process of the invention, and uses thereof.

An article for joule heating is described, including a three-dimensional substrate on and / or in which a pyrolyzate of a phenolic resin or polymer forms an electrically conductive carbon network. Such articles may be incorporated in structured materials applications, which may include support, sorbent, and or catalyst components. Also described are methods of fabricating such articles and structured materials, and apparatus comprising same, and methods of use of such articles and structured materials and apparatus for conducting material transformation processes requiring input of heat for their performance, such as CO2 adsorption, methane pyrolysis for hydrogen and carbon production, hydrogen-assisted conversion of CO2 to hydrocarbons, including catalytic conversion of CO2 to olefins, catalytic conversion of CO2 to propane (liquefied petroleum gas), and catalytic conversion of CO2 to renewable natural gas, reverse water gas shift reaction, steam ethane cracking, propane cracking, steam methane reforming, and dry methane reforming.

The invention discloses a diamond film and a preparation method and application thereof, and the preparation method comprises the steps: taking a substrate material matched with the lattice constant of a diamond film material as a substrate, and carrying out the surface treatment of the substrate; mixed reaction gas comprising 80%-95% of hydrogen, 3%-8% of methane and 2%-12% of auxiliary gas is introduced, wherein the auxiliary gas comprises at least one of argon, chlorine, hydrogen fluoride and hydrogen chloride; carrying out controlled chemical vapor deposition at 850-1000 DEG C under the pressure of not less than 21 kPa, and growing a diamond film on the surface of the substrate; and annealing the diamond film. According to the method, chemical vapor deposition is controlled through cooperation of auxiliary gas and temperature-pressure gradient, and non-corrosion high-speed growth of the high-purity monocrystal diamond film is achieved; in combination with a dynamic annealing process, lattice defects are effectively repaired, the comprehensive performance is optimized, and the reliability of the thin film serving as a heat dissipation component and other applications is remarkably improved.

The invention provides a method for preparing a carbon nanotube with assistance of carbon dioxide, which is characterized in that methane is used as a carbon source, carbon dioxide is used as auxiliary gas, and the carbon nanotube is prepared under the action of a catalyst. Carbon deposition generated by using methane as carbon source gas is reduced by using carbon dioxide, and the quality and performance of single-wall, double-wall or three-wall carbon nanotubes are improved, so that application requirements are met.

The invention relates to the technical field of molecular sieves, in particular to a molecular sieve and a preparation method and application thereof in nitrogen separation.The preparation method comprises the steps that a carbonized material and 3-chloropropyltrimethoxysilane are added into methylbenzene, heating is conducted under nitrogen protection till a reflux reaction is conducted for 12-48 h, after the reaction is finished, the room temperature is recovered, filtering is conducted, a product is collected, washing and drying are conducted, and a modified carbonized material is obtained; and adding the modified carbonized material and an ionic liquid into absolute ethyl alcohol, heating to reflux reaction for 12-48 hours, after the reaction is finished, recovering to room temperature, filtering, collecting a product, performing Soxhlet extraction with dichloromethane for 12-48 hours, drying to obtain an immobilized ionic liquid carbonized material, and performing CO2 activation and vapor deposition on the immobilized ionic liquid carbonized material to obtain the molecular sieve. The molecular sieve prepared by the invention has a relatively high specific surface area, and shows excellent performance of selectively adsorbing nitrogen in a methane and nitrogen mixed system.

The invention discloses a multielement multiphase fluid displacement coalbed methane 4D visual simulation experiment system and a multielement multiphase fluid displacement coalbed methane 4D visual simulation experiment method. The system comprises a gas-liquid mixed injection system, a Kr adsorption system, a visual triaxial core holder system, a CT scanning system and a tail gas analysis and treatment system. According to the experimental method, Kr similar to CH4 in dynamic diameter and other parameters is selected as a CT tracer to replace CH4, and 4D visualization of coal body internal pore and fracture structure evolution and Kr concentration field displacement migration process can be realized through three-dimensional reconstruction of CT images at different displacement moments and registration, gray correction and normalized concentration calculation of the images. The problem that the gas migration rule in the coal body in the displacement experiment is not clear is solved; the dynamic diffusion process inversion of the coal bed gas in the coal bed difficult to extract is realized by utilizing the distribution characteristic evolution of the Kr gas in the coal body, so that the in-situ coal body fissure structure in the coal sample and the dynamic migration law of methane in the displacement process are obtained, and the method has great significance for revealing the displacement development mechanism of unconventional natural gas such as the coal bed gas.

The invention relates to an organic carbon multi-source classification and dynamic list construction method for reservoir methane accounting, and belongs to the technical field of reservoir ecology and greenhouse gas accounting. Aiming at the technical problem that the dynamic change and degradation influence of the organic carbon source cannot be accurately quantified by a traditional method, the invention proposes that the organic carbon source is refined into four types of submerged soil, sediment sediment, algae autogenesis and in-river pollution, calculation models are respectively established, and a dynamic degradation list is constructed by combining a time attenuation factor and reservoir age-month weighted calculation. According to the method, dynamic quantification of the organic carbon input-degradation process is achieved, the CH4 emission prediction error is reduced by 30% or above, and high-precision data support is provided for reservoir carbon management and emission reduction.