277 results about "Carbon storage" patented technology

The invention discloses a forest carbon reserve and carbon sink monitoring and evaluating method based on a multi-source remote sensing technology. The method comprises the following steps: multi-source remote sensing data acquisition: respectively acquiring optical remote sensing data and radar remote sensing data; tree species classification and identification: carrying out tree species classification on the forest in the research area to realize tree species scale space distribution information extraction; for different tree species, biomass model parameters obtained through field investigation are combined, a biomass estimation model based on the tree species is established, model input parameters are biomass model parameters, and vegetation biomass is output; calculating the carbon reserve: calculating the vegetation carbon reserve by utilizing the inverted vegetation biomass and combining the carbon content coefficients of different tree species; estimating the soil carbon reserve, and finally obtaining the total carbon reserve of the forest ecosystem: calculating the carbon reserve variation of the forest ecosystem at different time points based on the multi-source remote sensing data of the long-term sequence. According to the invention, large-range, high-precision and continuous forest carbon reserve and carbon sink monitoring and evaluation considering tree species difference is realized.

The invention relates to the technical field of ecological environment monitoring and geographic information, in particular to a coastal wetland soil sample point quality evaluation method and system based on multi-source environmental data. According to the method, remote sensing, climate, terrain, ocean and historical land coverage data are fused, and indexes are extracted and standardized; an environment similarity score (weighted Markov / neighbor weighted Euclidean), a historical consistency score (multi-temporal coverage + transfer penalty) and a source reliability score (metadata integrity + anomaly detection + NDVI-SOC residual) are constructed respectively; comprehensive scores are obtained through self-adaptive weight fusion, A / B / C grades are divided, and a report and a high-quality sample point set are output. The system comprises a data access module, a scoring engine module and a visualization module, and the precision and robustness of soil mapping and carbon storage evaluation can be remarkably improved.

The invention discloses a coastal zone carbon sink data acquisition management system and method, and particularly relates to the technical field of carbon sink evaluation, and the method comprises the following steps: dividing carbon flux parameter partitions based on vegetation types, sediment characteristics and historical carbon storage levels, and establishing initial reference values; plant biomass, soil organic carbon content and non-carbon dioxide greenhouse gas flux are regularly collected according to fixed sampling points, and a carbon sink observation data sequence is formed; when data exception triggers an evaluation process, generating a carbon sink credibility index and an ecological interference response index; inputting the two indexes into a prediction model to output an adjustment vector, generating an adjustment strategy in combination with a weight, and dynamically updating an initial carbon flux reference value of each partition; according to the method, regionalized management is realized by constructing carbon flux parameter partitions, a carbon sink observation data sequence is established, an evaluation index is dynamically generated, intelligent updating of a carbon flux reference value is completed in combination with a prediction model, and the precision, responsiveness and adaptive adjustment capability of carbon sink monitoring are improved.

The invention provides a single tree segmentation-biological parameter estimation method based on a vehicle-mounted LiDAR point cloud, and belongs to the technical field of urban landscaping intelligent monitoring. The point cloud individual tree segmentation algorithm based on tree geometric feature constraint is designed for solving the problem that individual tree segmentation is difficult due to crown overlapping in an urban scene, and the method takes a tree geometric structure as a constraint, combines point cloud reflection intensity information, a clustering algorithm, a main direction index and other means, and obtains the individual tree segmentation algorithm based on the tree geometric feature constraint. And accurate extraction of trunks and crowns in the scene point cloud is realized. Aiming at the problems of high feature redundancy, poor model interpretability and the like in an existing estimation method, a random forest model is taken as a basis, an adaptive feature selection algorithm is introduced to improve variable screening efficiency, hyper-parameters are dynamically adjusted by utilizing pigeon inspired optimization, and generalization and stability of the model are enhanced; an estimation model used for estimating biological parameters such as leaf area index, biomass and carbon reserve is designed.

The invention relates to a subtropical forest aboveground carbon reserve estimation method fused with a multi-modal remote sensing technology. The method comprises the following steps: acquiring and preprocessing multi-modal remote sensing data of a research area; feature extraction is carried out based on the preprocessed multi-modal remote sensing data; adopting a multi-scale feature fusion method to perform complementary fusion on the extracted feature data; based on the fused feature data, performing model training by adopting a hybrid machine learning method to obtain a carbon reserve estimation model; and estimating the carbon reserve by using the carbon reserve estimation model. According to the invention, subtropical forest aboveground carbon reserves can be accurately estimated, and spatial distribution characteristics and main influence factors of the subtropical forest aboveground carbon reserves can be systematically analyzed.

The invention discloses a highway area vegetation carbon sink plaque calculation method. The method comprises the following steps: step 1, acquiring multi-source remote sensing data; 2, data preprocessing; step 3, dividing vegetation types; step 4, vegetation feature extraction; 5, constructing a biomass estimation model; step 6, laboratory determination; step 7, spectral analysis; 8, calculating carbon reserves; step 9, carbon sink plaque identification; and step 10, carbon sink plaque feature analysis. The invention provides the carbon sink measuring and calculating method specially aiming at the highway area vegetation, the carbon sink quantity of the highway area vegetation is quickly obtained by comprehensively applying multi-source data and various technical means, and the carbon sink plaque characteristics of the highway area vegetation are deeply analyzed, so that a scientific and comprehensive basis is provided for ecological protection and carbon sink management.

A method for monitoring subterranean hydrocarbon storage sites includes simulating a seismic experiment using a baseline model. The method also includes perturbing the baseline model to produce one or more perturbed baseline models. The method also includes selecting a plurality of candidate acquisition geometries to probe the one or more perturbed baseline models. The method also includes extracting a set of simulated data from the simulated seismic experiment that corresponds to the plurality of candidate acquisition geometries. The method also includes executing a model probing exercise for the extracted set of simulated data for each candidate acquisition geometry and each of the one or more perturbed baseline models.

The invention discloses a coastal culture pond expansion recognition and mangrove forest ecological occupation and supplement balance evaluation method, and belongs to the technical field of environment remote sensing monitoring and ecological evaluation. Aiming at the problems that a mangrove forest ecological system is damaged by expansion of a coastal culture pond and a dynamic monitoring and quantitative evaluation mechanism is lacked, the evaluation method is provided and comprises the following steps: preprocessing a multi-temporal satellite remote sensing image; using a convolutional neural network computer model to supervise, classify and distinguish culture ponds, mangrove forests and other land types; extracting boundaries of the two-time-phase culture pond and identifying a newly-added area; in combination with the mangrove forest distribution map, obtaining an occupied area through spatial overlay analysis; establishing a biomass regression model based on the vegetation index value of the infringed area to estimate the biomass per unit area, and hierarchically calculating the carbon reserve loss amount; and calculating a compensation area according to the carbon loss amount and the unit carbon reserve of the mature mangrove forest in the target area, and generating an occupation and compensation balance scheme in combination with unutilized mud flat spatial distribution. The method is used for dynamic monitoring, accurate quantification and scientific compensation of mangrove forest ecological loss.

The invention discloses a forest land ecosystem carbon reserve accounting method and system, and the method comprises the steps: obtaining and screening feature variables, such as optical remote sensing data, vegetation indexes, texture factors, satellite-borne laser radar feature parameters, so as to determine features having the most influence on a target variable, and removing redundant and irrelevant variables; the method comprises the following steps of: screening characteristic variables, reserving variables which contribute to the model prediction effect, improving the precision and stability of the model, constructing a canopy height inversion model by adopting a random forest method based on the screened characteristic variables, realizing accurate estimation of the canopy height, and finally calculating the biomass of vegetation of the forest ecological system by using a different-speed growth equation. And finally, summarizing the biomass of the vegetation of the forest ecological system to obtain the total biomass of the vegetation, and multiplying the total biomass of the vegetation by the carbon-containing coefficient to obtain the vegetation carbon reserve of the forest ecological system, so that wide-area and efficient forest parameter monitoring is realized, the monitoring cost is reduced, the environmental adaptability is improved, and the problems of data continuity and standardization are solved.

The invention relates to the technical field of environmental science and engineering, in particular to a method for accounting water and soil conservation small watershed carbon sink. The method for accounting the water and soil conservation small watershed carbon sink comprises the steps that a small watershed area is selected; obtaining parameter data of the small watershed area based on the selected small watershed area; calculating a reference line carbon reserve CBSL, t and a project scene carbon sink CPROJ, t after the small watershed region is implemented for t years; and based on the reference line carbon reserve CBSL, t and the project scene carbon sink CPROJ, t of the small watershed region after t years after the small watershed region is implemented, the carbon sink CDRt of the small watershed region after t years after the small watershed region is implemented is obtained by combining net carbon sink accounting, the small watershed region and related parameter data are selected, a calculation formula is adopted to calculate the reference line carbon reserve CBSL of the small watershed region after t years after the small watershed region is implemented, and the carbon sink CDRt of the small watershed region after t years after the small watershed region is implemented is obtained. According to the method, the accurate carbon sink amount CDRt is finally obtained through calculation of the project scene carbon sink amount CPROJ, t and the project scene carbon sink amount CPROJ, t, the vacancy in the prior art is made up, and the practicability is high.

The invention provides a forest carbon reserve prediction method, device and equipment based on forestry carbon sink monitoring, and relates to the technical field of data analysis. According to the method, firstly, a forest optical image and climate-related data are acquired, and the forest optical image at least comprises a red light band and a near-infrared band; secondly, extracting an optical global semantic vector from the forest optical image, and performing semantic constraint on the optical global semantic vector based on growth condition semantic information in the forest optical image to form an optical growth semantic vector; then, a climate global semantic vector is extracted from climate related data; thirdly, performing semantic fusion on the optical growth semantic vector and the climate global semantic vector to obtain a forest global semantic vector; and finally, performing semantic reduction based on the forest global semantic vector to form a carbon reserve prediction result. Based on the above content, the problem that the reliability of forest carbon reserve prediction is relatively low in the prior art can be improved.

The invention discloses a composite carbon sink estimation method based on multi-mode mangrove forest canopy data, and belongs to the technical field of carbon sink calculation in ecological environment monitoring, and the method comprises the steps: obtaining laser radar point cloud data, a hyperspectral remote sensing image and ground actual measurement data of a mangrove forest region; preprocessing the laser radar point cloud data, the hyperspectral remote sensing image and the ground actual measurement data to obtain standardized data; structure parameters and biochemical parameters are inversed based on the standardized data; fusing the structure parameters and the biochemical parameters to construct a comprehensive inversion model; the mangrove forest carbon reserve is calculated through the comprehensive inversion model; and verifying the precision of the comprehensive inversion model through ground measured data, and outputting a final carbon sink estimation result.

The invention discloses a vegetation type-considered wetland carbon reserve inversion and contribution analysis method, which comprises the following steps of: (1) obtaining a spatial mode of a wetland dominant vegetation type according to multi-source remote sensing data and ground observation plant community sample data; (2) constructing a multi-model collaborative learning framework on the spatial mode of the wetland advantageous vegetation type obtained in the step (1); (3) analyzing the carbon reserve difference of different vegetation types on the basis of the spatial pattern of the carbon reserve of each advantageous vegetation type of the wetland predicted in the step (2) so as to evaluate the influence value of the vegetation types on the soil carbon reserve; and (4) preferentially selecting characteristic factors from the key environment factors identified in the step (3) to obtain direct and indirect influence of each characteristic on carbon reserve change. The method has the following beneficial effects that a multi-model collaborative learning framework integrated with the advantages of various machine learning is combined with a data-driven regression model, and scientific support is provided for fine management and ecological protection strategies of the wetland.

The invention discloses a power system carbon emission time sequence simulation method and device considering energy storage carbon storage characteristics. The method comprises the following steps: acquiring a time-interval calculation result and energy storage data of time sequence production simulation of a power system; based on the energy storage data and a pre-constructed energy storage unit carbon emission storage model, calculating a total carbon emission amount and an electrical carbon factor of each energy storage unit; and according to the total carbon emission amount and the electric carbon factor of each energy storage unit, correcting the time-interval time sequence carbon emission data of the power system to obtain the corrected time-interval time sequence carbon emission data and the corrected electric carbon factor of the power system.

The invention relates to the technical field of data measurement and calculation, in particular to an ecological system carbon source sink rapid calculation method for a mining area scale. The method comprises the following steps: acquiring mining area remote sensing image data, ground actual measurement data and mining area mining activity records, and constructing a multi-source mining area basic data set; performing spatial registration and time alignment on the multi-source mining area basic data set to obtain an aligned multi-source fusion data set; based on the aligned multi-source fusion data set, mine occupied map spots are identified, land utilization type information of the map spots is extracted, a land utilization type data set is formed, and a carbon library classification data set is generated in combination with mining area carbon library type definition; therefore, by integrating multi-source data, optimizing space and time alignment and refining the carbon reserve calculation process, the problems of data dispersion, inaccurate calculation and the like in a traditional method are solved, and the scientificity and reliability of carbon source sink measurement and calculation of the mining area ecosystem are improved.

The invention discloses a forest carbon reserve prediction method coupling a Logistic growth curve and meteorological data. The method comprises the following steps: 1) constructing a relation of a forest dynamic Logistic growth curve; 2) fitting a theoretical carbon reserve value based on a Logistic growth curve; 3) a growth period monthly meteorological data calculation model; 4) constructing an actual carbon reserve prediction model coupling the meteorological data and the theoretical carbon reserve; and 5) predicting the future forest carbon reserve by using the multi-scene meteorological data. According to the method, the influence of long-time-span monthly-scale meteorological data on forest carbon reserve value prediction is considered, the forest carbon reserve prediction method coupling the Logistic growth curve and the meteorological data is constructed for forest carbon reserve prediction, and a brand new method is provided for accurate carbon reserve prediction.

The invention discloses an active treatment method for multi-source residual coal gas of a waste mine, which comprises the following steps: firstly, hydraulic fracturing pressure relief permeability improvement and overlying strata separation layer grouting reinforcement are cooperated, the hydraulic fracturing pressure relief permeability improvement establishes a netted fracture network in a coal body to realize permeability improvement, and the overlying strata separation layer grouting reinforcement compacts goaf gangue through grouting and reinforces an overlying strata to form a continuous bearing consolidation body; and therefore, a pressure relief and permeability increasing-strengthening and reinforcing integrated structure is formed, a stable structure and a penetrating seepage network are provided for subsequent displacement and gas extraction, and the subsequent gas extraction efficiency is guaranteed. Then low-temperature liquid CO2 is injected into the coal seam through the injection well, gas displacement and desorption are conducted on gas adsorbed in the coal seam under the action of phase change and competitive adsorption, expansion and development are conducted on fractures to enable permeability to be secondarily enhanced, and meanwhile part of CO2 obtained after displacement is retained and sealed in a coal body and a goaf; on the premise that the gas extraction concentration and efficiency are effectively improved, CO2 can be stored, and the dual effects of resource utilization and carbon storage are achieved.

The invention provides a soil carbon reserve measuring and calculating method and system and a medium, and belongs to the technical field of organic carbon reserves, and the method comprises the following steps: obtaining surface layer reflectivity spectral data of each layer of soil after construction of a disturbance area; dividing a plurality of grids based on the spatial distribution characteristics of the reflectivity spectrum; according to the coordinates of the center position of each grid, the soil texture and land utilization type corresponding to each grid in the database are called, and according to the reflectivity spectral characteristics of each grid, the soil organic carbon content on each grid is inverted through a pre-trained organic carbon content estimation model; according to the center position coordinate of each grid, calling the corresponding soil bulk density on each grid in the database, and determining the soil organic carbon reserve on each grid based on the soil bulk density and the soil organic carbon content; wherein the database stores soil texture, volume weight and land utilization type data corresponding to different coordinates; and obtaining the soil organic carbon reserve of the disturbance area according to the soil organic carbon reserve of each grid. The method can efficiently calculate the soil carbon reserve in the field.

A cementitious material, comprising: an amount of a porous biomineral, the porous biomineral optionally comprising diatomaceous earth (DE), the porous biomineral and cement being present at a weight ratio of at least about 0.05:0.95, optionally at least about 0.3:0.7; and an amount of a cement. A method, comprising effecting additive manufacturing of a structure with a cementitious material according to the present disclosure. A structural material, comprising an amount of a cured cementitious material according to the present disclosure. A structure, the structure comprising a structural material according to the present disclosure. A structure can be, for example, a building or even a portion of a building.

A system for implementing and optimizing the storage potential of subterranean carbon mineralization can include a fluid injection well subsystem having an injection wellbore, a pumping system, and a fluid injection completion system disposed at an injection range along the injection wellbore, where the fluid injection completion system is configured to control an injection rate of pressurized fluid from the injection range into an active storage zone within a subterranean rock formation. The system can also include a fluid production well subsystem having a production wellbore and a fluid production completion system disposed at a production range along the production wellbore, where the fluid production completion system is configured to control an inflow rate of production fluid from the active storage zone into the production range of the production wellbore. The system can further include a monitoring subsystem configured to monitor carbon mineralization in the active storage zone.

The invention provides an ecological pasture carbon reserve dynamic prediction method and system based on meteorological data, and relates to the technical field of carbon reserve prediction, and the method comprises the steps: collecting a variety of data, constructing a carbon reserve calculation model, and calculating the basic carbon reserve of a pasture according to pasture parameter data. Analyzing the influence of the pasture parameter data on the target ecological pasture area to obtain a carbon cycle parameter, and calculating a carbon reserve influence index according to the influence of the cow breeding factor on the pasture basic carbon reserve. And constructing a multitask learning model optimized based on a secretary bird algorithm, inputting carbon cycle parameters and meteorological data, and outputting to obtain meteorological influence carbon data. And generating a carbon reserve change rule according to the carbon reserve influence index and the meteorological influence carbon data, and making a carbon management strategy according to the carbon reserve change rule. According to the method, the accuracy and scientificity of dynamic prediction of the carbon reserves of the ecological pasture are improved, and powerful support is provided for sustainable management and carbon emission reduction of the ecological pasture.

The invention discloses a soybean planting pollution reduction and carbon reduction measure effect prediction method based on machine learning scenario simulation, and belongs to the field of pollution reduction and carbon reduction, and the method comprises the steps: firstly collecting root system and microorganism data of a soybean planting area, and quantifying the interaction intensity through a random forest algorithm; the nitrogen circulation state is judged, and the acceleration degree is determined; predicting the carbon storage change in combination with a support vector machine model; further extracting ecological influence variables, and evaluating the environmental benefit optimization potential through cross-planting condition comparison; performing simulation adjustment on the measure combination with high potential to generate a combined index of nitrogen cycle and carbon storage change; determining a correction coefficient through clustering analysis trend data; and finally, multi-source simulation results are fused to generate a precise ecological influence assessment report. According to the method, the problems of insufficient root-microorganism interaction quantification, weak nitrogen-carbon process coupling analysis and large dynamic prediction deviation in the prior art are solved.

The invention discloses a wetland farmland conversion greenhouse gas metering and net emission reduction accounting method and device, and relates to the technical field of ecological accounting methods, and the method comprises the steps: obtaining wetland-to-farmland net greenhouse gas conversion income and expenditure and farmland-to-wetland net greenhouse gas conversion income and expenditure; the income and expenditure of converting the wetland into the farmland clean greenhouse gas comprise reduction of lost wetland carbon storage amount, emission reduction of lost wetland greenhouse gas, greenhouse gas emission in the inning process, reduction of newly converted farmland carbon sink and greenhouse gas emission of newly converted farmland management; the income and expenditure of converting the farmland into the wetland clean greenhouse gas comprise greenhouse gas emission in a humidifying process, newly converted wetland carbon sink increase, newly converted wetland greenhouse gas emission and lost farmland greenhouse gas emission reduction; and calculating to obtain the clean greenhouse gas revenue and expenditure based on the revenue and expenditure for converting the farmland into the clean greenhouse gas of the farmland and the revenue and expenditure for converting the farmland into the clean greenhouse gas of the wetland. According to the method, the net source / sink effect of wetland and farmland transformation can be comprehensively revealed.

The present invention discloses a method for regulating carbon accumulation in degraded karst forest soil by synergistic microbial functions, comprising: measuring and collecting bacterial and fungal diversity sequence data of degraded karst forest soil samples by high-throughput sequencing equipment, storing the original sequencing data including diversity, community structure, functional abundance values, etc. in a computer-readable storage medium, and constructing a structured microbial community database; based on the database, a computer system performs screening of core functional microorganisms that affect carbon storage; based on the screening results, the computer system performs the following processing: calculating the functional abundance index of core microorganisms; determining the microbial function weight by multivariate linear regression; establishing a carbon accumulation regulation coefficient calculation model; preparing a microbial agent and generating a control instruction including the microbial agent application amount and the vegetation coverage optimization plan according to the calculated value of the carbon accumulation regulation coefficient and the soil organic carbon saturation deficit value, and transmitting the control instruction to the field operation equipment.

The invention discloses a carbon sink intelligent evaluation platform based on solid waste resource utilization, and the platform constructs a digital elevation model and a canopy height model through aerial remote sensing and ground environment data collection, and evaluates the vegetation net primary productivity in combination with a light energy utilization rate model. Training a soil organic carbon inversion model by adopting machine learning, and analyzing multi-stage hyperspectral image data; and establishing a soil carbon dynamic model to simulate a carbon solid storage and turnover process. Remote sensing data, LiDAR structure parameters and ground actually measured biomass are fused through random forest regression, and the biomass estimation precision is optimized. And finally integrating the plant and soil carbon sequestration amounts, calculating the total carbon sequestration amount of the ecological system and evaluating the temporal and spatial variation characteristics of the total carbon sequestration amount. According to the platform, intelligent and precise carbon sink evaluation is realized, and a scientific basis is provided for ecological restoration and carbon sink management.

The invention discloses a method for predicting porosity-permeability dynamic evolution of a carbon sealed storage layer of an abandoned oil reservoir, and belongs to the technical field of carbon sequestration of abandoned oil and gas reservoirs, and the method comprises the following steps: carrying out a visual microfluidic experiment of CaCO3 heterogeneous precipitation under a residual oil condition; carrying out precipitation characteristic parameter extraction according to a visual micro-fluidic experiment result; calculating an effective flow porosity, a reactive bending factor and an interface reaction correction factor on the basis of the precipitation characteristic parameters, and further performing multi-physics field coupling correction on the Kozeny-Carman model to obtain a permeability dynamic evolution model; and performing reservoir permeability evolution prediction by adopting the permeability dynamic evolution model. According to the method, high-precision prediction of porosity-permeability dynamic evolution of the abandoned oil and gas reservoir carbon seal storage layer is realized, multiphase flow and solute transport provide a flow velocity and concentration field for geochemical reaction, the reaction feeds back physical property influencing parameters by changing mineral volume and pore structure, the physical property parameters update the flow field in turn, and the porosity-permeability dynamic evolution of the abandoned oil and gas reservoir carbon seal storage layer is predicted. And thus, dynamic evolution is realized.

The invention relates to the technical field of urban ecological engineering, in particular to a parking lot authigenic plant planting method based on carbon immobilization. The invention provides a parking lot authigenic plant planting method based on carbon immobilization, which is characterized in that a three-stage ecological rotation mechanism is introduced into vegetation construction according to the sequence of a pioneer plant period, a green manure turning and pressing soil returning period and an authigenic plant community succession period to form a parking lot authigenic plant pool, and the parking lot authigenic plant planting based on carbon immobilization is realized. The invention aims to improve the greening ecological benefit and carbon sink capacity of the parking lot by optimizing the soil structure and adopting the crop rotation technology, provides a plant pool structure which adapts to the environment of the parking lot, has high-carbon solid storage capacity and can realize autonomous ecological circulation, and improves the soil health, inhibits diseases and prolongs the plant coverage period through the crop rotation technology. The problems that traditional parking lot greening depends on manual intervention, and the carbon sink benefit is low are solved, and continuous carbon sink under the low maintenance cost is achieved.

The application discloses a kind of mixed mineral materials and methods for promoting long-term storage of sediment organic carbon, the material is composed of a certain proportion of serpentine and magnesite, steps are: 1) select mineral material serpentine and magnesite as raw material;2) serpentine and magnesite are pretreated;3) the serpentine and magnesite after pretreatment are mixed according to certain proportion;4) the mixed mineral material is spread to sediment surface with certain thickness;5) through the reaction of mixed mineral material and sediment organic carbon to generate stable magnesium carbonate mineral, realize long-term storage of sediment organic carbon in situ.The mineral material in the application has the characteristics of environmental friendly, reasonable formula, convenient to use, ecological environmental protection and the like.The application realizes long-term storage of sediment organic carbon in situ by the reaction of mixed mineral material and organic carbon, provides new ideas for water ecological restoration engineering to help carbon neutralization and realize sediment in situ carbon storage.

The invention discloses a low-permeability reservoir CO2 oil displacement storage synergistic interaction regulation and control device, which belongs to the technical field of low-permeability reservoir development and carbon storage, and comprises a CO2 source supply unit, an intelligent injection allocation regulation and control unit, a reservoir injection unit, an oil displacement monitoring unit and a storage synergistic unit which are communicated in sequence, all the units are networked through pipelines and are internally provided with data interaction modules to realize information closed-loop transmission, and the intelligent injection allocation regulation and control unit is a core control end; according to the low-permeability reservoir CO2 oil displacement and storage synergistic interaction regulation and control device, a supply, regulation and control, injection, monitoring and storage integrated closed-loop system is constructed, an intelligent injection allocation regulation and control unit serves as a core, the multi-element coupling relation of oil displacement efficiency, storage capacity and injection parameters is established through a synergistic interaction algorithm model, and according to the real-time dynamic state of an oil reservoir, the oil displacement efficiency, the storage capacity and the injection parameters can be adjusted and controlled according to the real-time dynamic state of the oil reservoir. And the operating parameters of each unit are dynamically adjusted, so that the optimal balance between the CO2 oil displacement efficiency and the storage capacity is realized, and the crude oil recovery rate of the low-permeability reservoir is improved.

The invention discloses a black soil organic carbon and exogenous organic carbon coupling action mechanism analysis device. The device is mainly composed of an outer shell, a discharging drawer, a water tank, an induced draft fan, a water supplementing spray pipe, a material guide plate, a shaking assembly, an upper cover, a feeding box, a heating plate, a gas filling box, an organic carbon storage tank and the like. The discharging drawer at the bottom of the outer shell facilitates material collection, the water tank is connected with the water supplementing spray pipe to guarantee humidity, the induced draft fan and the gas filling box control the gas environment, and the heating plate provides proper temperature for reaction. Materials in the feeding box can be fully mixed through the unique shaking assembly, and it is ensured that the materials evenly enter the device through the special structure of the feeding box. The device can accurately simulate various environmental conditions of coupling of black soil and exogenous organic carbon, interaction of the black soil and the exogenous organic carbon is effectively promoted through the synergistic effect of all the parts, monitoring and analysis of key parameters in the process are achieved, and a reliable experimental platform is provided for researching related mechanisms of the black soil organic carbon.