634 results about "Carbon sequestration" patented technology

The invention discloses a floating wind power platform self-energized carbon capture and deep sea sealing integrated system, which comprises a floating platform foundation, which comprises a plurality of buoy parts, and the buoy parts are integrated through connecting parts; the double-path carbon capture subsystem comprises an air carbon capture module and a seawater carbon capture module; the air carbon capture module introduces air into the adsorption module through negative pressure, and selectively adsorbs CO2 in the air; the seawater carbon capturing module is used for separating out CO2 from seawater in an electrochemical separation mode; the carbon sequestration subsystem is used for compressing, liquefying and sequestration the CO2 conveyed by the double-path carbon capture subsystem; and the wind power function subsystem comprises a wind power generation tower and power distribution equipment for supplying power to each subsystem. The platform is reasonable in configuration and high in function integration degree, has the advantages of wind energy driving, autonomous operation, continuous carbon capture, on-site storage and the like, is particularly suitable for deep and far sea areas without seabed pipe networks and far away from shore-based power grids, and can be used for application scenes such as wind power plant carbon compensation and ocean carbon removal.

The invention relates to the technical field of wetland ecological restoration. The invention discloses a wetland carbon sink capacity improving method and system based on intelligent regulation and ecological restoration, and the method comprises the steps: laying a multi-parameter sensing network, and monitoring the water level, vegetation growth and soil wetland carbon reserve parameters in real time; obtaining a vegetation NDVI index and surface temperature data, and analyzing the vegetation NDVI index and the surface temperature data to obtain an ecological restoration strategy; according to an ecological restoration strategy, carbon sink dominant plants are combined, and emergent aquatic plants, submerged plants and floating-leaved plants are matched; strengthening the microorganisms, and inoculating a carbon sequestration fungicide; establishing a carbon sink-environmental parameter response model according to the historical intelligent regulation and control data; and inputting the ecological restoration strategy into the carbon sink-environmental parameter response model for analysis, and adjusting ecological restoration data according to an analysis result of the carbon sink-environmental parameter response model. According to the invention, intelligent response to environment change is realized, and the carbon sink efficiency is dynamically optimized.

The embodiment of the invention discloses a reservoir carbon sink accounting method based on multi-source remote sensing data, a related device and a medium. The method comprises the following steps: acquiring multi-source remote sensing data of a target reservoir in a target time period; according to the multi-source remote sensing data, performing inversion to obtain a water surface area dynamic diagram, a chlorophyll a concentration space-time distribution diagram, a CDOM space-time distribution diagram and a water surface temperature space-time distribution diagram of the target reservoir in the target time period; the four diagrams are input into a preset carbon sequestration model for carbon sequestration processing, a unit area greenhouse gas flux value space-time distribution diagram corresponding to the target reservoir is obtained, and each pixel in the unit area greenhouse gas flux value space-time distribution diagram carries a corresponding unit area greenhouse gas flux value; and performing space-time integral processing on the space-time distribution diagram of the greenhouse gas flux value per unit area and the dynamic diagram of the water surface area to obtain a target total carbon sink amount of the target reservoir in the target time period. By implementing the method provided by the embodiment of the invention, the accuracy of reservoir carbon sink accounting can be improved.

The invention provides a low-carbon modular artificial wetland system and a carbon sink collaborative purification method thereof, and relates to the technical field of artificial wetlands, the low-carbon modular artificial wetland system comprises a modular box body, and a water inlet layer, a carbon sink layer and a purification layer which are sequentially arranged in the modular box body from top to bottom; the water inlet layer is used for filtering suspended matters through coarse sand; the carbon sequestration layer is used for adsorbing carbon dioxide through biochar and carbon sequestration microorganisms, and meanwhile, the carbon sequestration capacity is enhanced through the plant-microorganism synergistic effect; the purification layer is used for purifying a water body through an iron-based phosphorus removal material and a zeolite denitrification filler. The technical problems of low-carbon material selection, carbon sink potential excavation, renewable energy source coupling and greenhouse gas emission inhibition of an existing constructed wetland system are solved, the technical effects of efficient sewage purification and carbon emission reduction are achieved, and a carbon emission reduction closed loop of the whole life cycle is achieved.

The invention belongs to the technical field of concrete, and particularly relates to dynamic carbon injection recycled coarse aggregate concrete as well as a preparation method and application thereof. The preparation method of the concrete comprises the following steps: (1) adding the cement, the mineral powder, the recycled coarse aggregate, the fine aggregate, the fly ash, the carbon sequestration agent, the retarder and the water reducing agent into water, and uniformly stirring to obtain a mixed material; (2) injecting carbon dioxide into the mixed material to obtain carbon-mixed concrete; and (3) curing the carbon-mixed concrete to obtain the carbon-mixed concrete. The invention provides a method for preparing dynamic carbon injection recycled coarse aggregate concrete by taking a carbon sequestration agent, a retarder, cement, mineral powder, recycled coarse aggregate, fine aggregate, fly ash and a water reducing agent as raw materials. The method is simple in process and easy for large-scale production. The concrete prepared by adopting the method is relatively high in carbon sequestration rate, excellent in mechanical property and capable of effectively avoiding rapid hydration.

The invention discloses a hydrogen energy park scheduling method based on an improved cloud drift optimization algorithm, and relates to the technical field of intelligent development and scheduling of a comprehensive energy system, and the method comprises the following steps: building a target function with the minimum economic cost and carbon processing cost of the park comprehensive energy system as a target; and after wind and light power supply constraints, energy storage equipment constraints, power balance constraints, carbon sequestration capacity constraints, carbon capture constraints, gas turbine output and climbing constraints, gas boiler constraints, fuel cell constraints and power-to-gas constraints are set, an improved cloud drift optimization algorithm is used for solving, and the hydrogen energy park is scheduled. According to the invention, the bottleneck of insufficient regulation capability of a single energy network is broken.

The invention discloses a carbon sequestration CO2 multi-layer injection and production collaborative balance system and method.The carbon sequestration CO2 multi-layer injection and production collaborative balance system comprises a multi-layer injection mechanism, a collaborative extraction mechanism and a regulation and control mechanism, the multi-layer injection mechanism comprises an injection well, an injection allocation device and a two-way packer, the injection well vertically penetrates through 2-4 target reservoirs, and the injection allocation device vertically penetrates through the two-way packer; each target reservoir in the injection well is correspondingly provided with an injection allocation device and a two-way packer, each injection allocation device comprises a pressure sensor, a flow controller and a communication module, the collaborative extraction mechanism comprises a plurality of water production wells, the water production wells are arranged on the periphery of the injection well, and the two-way packers are arranged on the periphery of the injection well. Each water production well corresponds to one target reservoir, an adjustable water pumping screen pipe, a pressure feedback valve and a flow metering device are correspondingly arranged in each water production well, the regulation and control mechanism comprises a controller and an optical fiber monitoring device, and the controller is electrically connected with the optical fiber monitoring device, the pressure sensor, the flow metering device and the pressure feedback valve. The carbon sequestration CO2 multi-layer injection-production collaborative balance system provided by the invention has the advantages of high safety and high efficiency.

The invention provides a concrete carbon sequestration process parameter optimization method, and belongs to the technical field of concrete carbon sequestration. Chemical component data and real-time parameters are input into a carbonization parameter intelligent regulation and control model to obtain regulation values of carbon dioxide concentration, reaction temperature, reaction pressure and water content, and a carbonization reactor is dynamically regulated and controlled; when the carbonization depth is greater than 20mm and the carbon sequestration amount reaches more than 80% of a theoretical maximum value, completing carbonization treatment and recording a process optimization result, and training an intelligent regulation and control model through a parameter regularization framework based on adaptive weight attenuation so that the intelligent regulation and control model can output an optimal parameter adjustment value according to the chemical component difference of the raw material and the real-time change of the carbonization process; the technical problem that the carbon sequestration efficiency is unstable due to the fact that waste concrete carbon sequestration process parameters cannot be dynamically optimized and adjusted according to the chemical component difference of raw materials and the real-time change of the carbonization process is solved.

The invention relates to a method for simulating and predicting a saturation field and a pressure field in an underground carbon dioxide injection process based on deep learning, and belongs to the technical field of multiphase flow numerical simulation in underground carbon sequestration, and the method comprises the steps: 1, obtaining and constructing CO2 multiphase flow high-fidelity numerical simulation data; 2, preprocessing and normalizing the original spatio-temporal data; step 3, constructing and training an MRU-FNO model based on an FNO and residual error U-Net fusion structure; 4, simulation and prediction of a saturation field and a pressure field in the underground carbon dioxide injection process are achieved through the trained MRU-FNO model based on the FNO and residual U-Net fusion structure. According to the method, relatively high prediction precision can be kept, and excellent time generalization performance is shown.

The invention discloses an oyster carbon sink value evaluation method, model and equipment based on carbon sequestration amount, and a medium. The method comprises the following steps: collecting oyster breeding data in an oyster breeding process; the method comprises the following steps: respectively calculating an oyster body carbon sequestration amount, an oyster attached organism carbon sequestration amount and an oyster biological sediment carbon sequestration amount according to oyster breeding data, and summarizing the oyster body carbon sequestration amount, the oyster attached organism carbon sequestration amount and the oyster biological sediment carbon sequestration amount into a total oyster breeding carbon sink amount; and calculating the carbon sink value of the oysters according to the total carbon sink amount of the oyster culture. According to the method, a traditional culture shellfish carbon sequestration basic metering method is improved, carbon sequestration amount calculation is carried out on oyster bodies and biological sediments of attached organisms respectively, the more accurate oyster culture carbon sequestration total amount can be obtained, and the carbon sequestration income of oysters is calculated based on the carbon sequestration total amount. The method is beneficial to enriching the basic research in the field of shellfish culture carbon sink accounting, and enables the ecological service value of the shellfish culture industry to be compensated through carbon sink transaction.

The invention discloses a metal mine space carbon sequestration system and method based on upward filling of a segmented stope. A closed filling chamber is arranged in a staged blasting stope between a lower-stage filling body and an upper-stage unblasted ore body; an upper-stage drift roadway is arranged between the top of the closed filling chamber and the upper-stage unexploded ore body; a horizontal filling pipeline and a CO2 horizontal filling pipeline which are used for conveying the filling slurry and the CO2 gas to the closed filling chamber are arranged in the upper-stage access roadway, and the CO2 gas is mineralized to realize carbon sequestration through the filling slurry and the CO2 gas in the closed filling chamber. According to the method, the closed filling chamber is arranged in the goaf of the metal mine to seal and store the CO2 gas, the CO2 is utilized to be subjected to carbonization reaction with clinker minerals and hydration products in the filling cementing material, so that the dual purposes of'filling reinforcement 'and'filling carbon sequestration' are achieved, and environmental pollution cannot be generated in the whole CO2 gas sealing and storing process.

The invention relates to the technical field of carbon sink metering, in particular to a wetland ecological restoration carbon sink metering method and system.The method comprises the steps that multi-source heterogeneous data of a wetland ecological restoration area is obtained, then abnormity tracing is conducted on the multi-source heterogeneous data to recognize a dominant abnormal data type, a matched weight distribution strategy is dynamically selected according to the dominant abnormal data type, and data fusion is conducted; generating a standardized data set; then, when the standardized data set is input into the carbon sink measurement model, a parameter subset most related to dominant anomaly in the model is directionally adjusted, and finally the model is operated to output the carbon sink amount; in the process, through linkage adaptive optimization of data and a model, the problem of carbon sink metering deviation caused by data quality fluctuation is effectively solved, and the accuracy and reliability of a calculation result are remarkably improved.

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 discloses a salt cavern CO2 sequestration stability prediction method based on multi-source data fusion and machine learning correction, particularly relates to the technical field of geological engineering and carbon sequestration, and aims at the characteristics that a salt cavern cavity is extremely irregular in shape and an internal interlayer is complex in development. The millimeter-level three-dimensional reduction of the cavity and the interlayer space structure is realized; in order to solve the problems that the rock salt creep effect is remarkable and long-term deformation is difficult to predict, a dissolution-rheological coupling constitutive model is called, ANSYS is embedded through a user-defined material subprogram, and rock salt mechanical property degradation and aging deformation behaviors under the CO2 dissolution action are dynamically simulated; aiming at the problems of high parameter uncertainty and prominent error accumulation of a traditional numerical model, a machine learning correction mechanism based on Latin hypercube sampling and random forest is introduced, a virtual-simulation-error correction closed-loop process is constructed, and the prediction precision and reliability of the long-term stability of the cavity under complex geological conditions are remarkably improved.

The invention relates to the technical field of carbon sequestration and hydrogen production, and discloses a carbon sequestration and hydrogen production method and a carbon sequestration and hydrogen production device combined with new energy surplus electric power, and the carbon sequestration and hydrogen production method combined with new energy surplus electric power comprises the following steps: regulating and controlling the temperature and pressure of a geological reaction ore bed; carrying out degassing treatment on the water to obtain degassed water; injecting a mixed solution of carbon dioxide and the degassed water into the geological reaction ore bed; carrying out carbon dioxide mineralization storage and hydrogen production reaction to obtain carbonate minerals and hydrogen; purifying the hydrogen to obtain purified hydrogen; the new energy surplus electric power is used for providing driving force for the carbon sequestration hydrogen production method. The carbon sequestration and hydrogen production method is high in reaction efficiency and reaction rate, not only assists carbon dioxide emission reduction, but also can obtain high-purity hydrogen, can also consume new energy surplus electric power, and has both environmental protection and resource utilization values.

The invention discloses a carbon sequestration leakage state evaluation method and device, and relates to the field of carbon sequestration, and the method comprises the steps: obtaining the injection data corresponding to carbon dioxide, and the injection data comprises at least one of the following: the injection speed, the injection pressure, the injection position, and the injection quality; on the basis of a target prediction model, according to the injection data, the sealing damage state of a shaft, the sealing damage state of a cover layer and the sealing damage state of a fault are predicted, and the shaft, the cover layer and the fault are used for sealing the carbon dioxide; and predicting the leakage state of the carbon dioxide according to the sealing damage state of the shaft, the sealing damage state of the cover layer and the sealing damage state of the fault. By adopting the technical scheme, the problem that the prediction efficiency and accuracy of the leakage state of the carbon dioxide are relatively low is solved.

The invention discloses a goaf filling material based on coal slime and a carbon sequestration method. The goaf filling material comprises the following steps: preparing a composite activator and a plurality of pretreated coal slime, steel slag, superfine slag powder and desulfurized gypsum raw materials; the preparation method comprises the following steps: mixing coal slime, steel slag, superfine slag powder, desulfurized gypsum raw materials and a composite activator in proportion, putting into a closed reaction kettle, and carrying out dry mixing and sufficient stirring; adding a proper amount of water into the dry-mixed raw materials according to a solid-to-liquid ratio of 7: 3, and stirring the water and the raw materials through a reaction kettle until the water and the raw materials are fully mixed to form a strong alkali mixture; filling CO2 gas into the reaction kettle, carrying out primary mineralization reaction, and stirring in the reaction kettle to obtain a paste filling material; conveying the paste filling material to a goaf through a pump body, and performing filling operation according to a preset filling process; and after the filled paste filling material is initially set, secondary mineralization reaction is carried out, supercritical CO2 gas is injected into the paste filling material through the pre-buried pipeline, residual alkaline substances in the paste filling material react, and a compact anti-seepage structure is formed.

A method for predicting CH4 production and CO2 sequestration in a CO2-ECBM process belongs to the field of natural hydrogen resource exploration, and is technically characterized by comprising the following steps: constructing a multiphase and multicomponent coupling model for describing the migration process of water, methane and carbon dioxide of a stratum coal bed gas reservoir; the method comprises the following steps: constructing a geologic model of a stratum coalbed methane reservoir, performing grid division on the geologic model to obtain a plurality of grid units reflecting different spatial distribution positions of the coalbed methane reservoir, and setting initial conditions and boundary conditions of the geologic model; and according to the multiphase and multicomponent coupling model, solving spatio-temporal evolution characteristics of pressure and concentration of water, methane and carbon dioxide of each grid unit of the geologic model to obtain distribution in time and space. According to the method, the influence of the underground water in the coal bed gas on the migration behavior of methane and carbon dioxide is fully considered, the limitation of prediction result deviation caused by neglecting the effect of the underground water in the existing research is overcome, and the accurate prediction of the methane yield and the carbon sequestration amount in the CO2-ECBM process is realized.

The invention relates to a method and equipment for predicting and optimizing CO2 mineralization storage efficiency and a storage medium. The method comprises the following steps: constructing a mineral supercell structure model and obtaining a stable configuration of a target mineral; constructing a vacuum layer based on the stable configuration, and filling H2O molecules and CO2 molecules to construct a CO2-water-mineral system model; carrying out reaction molecular dynamics simulation to obtain atomic motion trail and bond level change information; calculating the CO2 sequestration rate; drawing a three-dimensional carbon sequestration mechanism distribution diagram; and the sealing conditions of actual geological sealing engineering are optimized. According to the method, adsorption and chemical reaction behaviors of CO2 in underground rock pores are reduced, the storage condition of CO2 is quantified, then the influence of parameters such as temperature, pressure and water content on the CO2 storage rate is evaluated, the storage effects under different conditions are compared, a basis can be provided for optimizing the optimal storage condition, and the storage efficiency of CO2 is improved. The method has important guiding significance on design and optimization of a sealing scheme in practical engineering.

The invention discloses a method for preparing an underground cemented high-water-expansion filling material from negative carbon all-solid waste and application, the method comprises the following steps: raw material pretreatment: mixing magnesium slag, steel slag and a dispersion medium to prepare solid waste slurry, adding an inducer into the solid waste slurry, and carrying out wet ball milling treatment to obtain first slurry; wet grinding and carbonization: under the condition of continuously introducing CO2, carrying out wet ball-milling treatment on the first slurry to obtain second slurry; thickening and expansion regulation and control: adding a thickening agent and an expansion regulation and control agent into the second slurry, then carrying out wet ball milling treatment to obtain third slurry, mixing and molding, mixing the third slurry with a dispersion medium, gypsum and copper tailings, and carrying out vibration molding to obtain the underground cementing high-water-expansion filling material. The method takes industrial solid waste as a raw material, has double benefits of carbon sequestration and resource utilization, and is suitable for projects such as mine goaf filling and the like.

The invention discloses a grassland carbon sink rapid evaluation system based on a multispectral unmanned aerial vehicle and transfer learning. The operation process of the system specifically comprises the following steps: acquiring multispectral remote sensing image data and auxiliary geographic space data; performing data preprocessing and feature extraction to obtain a multi-source feature data set; constructing a grassland carbon sink evaluation model based on a transfer learning algorithm, and training and optimizing the grassland carbon sink evaluation model; generating a grassland carbon sink evaluation result map by adopting the grassland carbon sink evaluation model; storing data in a distributed database; and performing spatial-temporal change analysis and carbon sink potential prediction, and outputting a carbon sink dynamic monitoring report and a project management suggestion. The method has the following advantages and effects: high-precision, high-efficiency and low-cost cross-regional rapid evaluation of the grassland carbon sink is realized by fusing the multispectral unmanned aerial vehicle remote sensing and transfer learning technologies, and the data reliability and traceability are ensured by means of the block chain.

The invention discloses a foam concrete carbon sequestration rate evaluation method, foam concrete carbon sequestration rate evaluation equipment and a medium, and relates to the field of carbon neutralizer.The method comprises the steps that the apparent density of a CO2 foam concrete sample is measured; determining the theoretical matrix density of the concrete matrix; calculating the mass of CO2 in bubbles in the unit mass sample according to the apparent density and the theoretical matrix density; calculating a physical sealing rate according to the mass; based on a chemical curing amount detection method, determining the CaCO3 content measured by mu-XRD and the active calcium oxide content detected by LIBS; the chemical curing amount detection method comprises a mu-XRD method and an LIBS method. Determining a chemical curing rate according to the CaCO3 content and the active calcium oxide content; and determining the total carbon sequestration rate of the foam concrete according to the physical sequestration rate and the chemical curing rate. According to the method, the accurate carbon sequestration rate can be calculated.

A carbon sequestration mineral admixture, and a preparation method and device therefor. The method for preparing the carbon sequestration mineral admixture comprises: providing crushed solid waste; providing an activating liquid and a catalytic liquid, one or both of which is optionally in the form of micro-droplets; and contacting and reacting the activating liquid, the catalytic liquid, flue gas containing carbon dioxide, and the crushed solid waste to obtain a carbon sequestration mineral admixture, the contacting optionally being carried out under the action of an external mechanical force, wherein the activating liquid comprises one or more of a magnesium salt, an ammonium salt, an organic amine and a lower alkanol serving as an activating agent, and the catalytic liquid comprises carbonate ions and / or bicarbonate ions serving as a catalyst. The accelerated carbonization method has the advantages of a high carbonization efficiency, simple operation, and also being capable of achieving a high degree of carbonization and significantly increasing the added value of a carbonization product.

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 invention relates to the technical field of carbon sequestration geological engineering, and particularly discloses a CO2 water rock reaction induced permeability change evaluation method based on machine learning, which comprises the following steps: firstly, acquiring multi-focal plane image data of a reacted sample on a scanning electron microscope platform; automatically identifying a reaction area by using the trained U-Net instance model, and obtaining porosity and specific surface area information; corresponding calculation coefficients are automatically selected and matched based on the area-depth information of the corrosion holes, normalization calculation is carried out, and the permeability and the spatial distribution of the permeability are directly output. According to the method, destructive detection is not needed, quantitative characterization of the rock permeability physical property is achieved, the analysis accuracy and efficiency are remarkably improved, batch processing statistics is supported, and reliable data support is provided for carbon sequestration safety research and sequestration simulation.

The invention provides an abandoned well carbon dioxide sequestration potential dynamic evaluation method and device, and relates to the technical field of carbon sequestration, and the method comprises the steps: obtaining historical oil production data of an abandoned well, analyzing a pressure change and yield curve in the historical oil production data, and determining the dynamic change trend of geological parameters; establishing a coal seam physical property dynamic response model on the basis of the geological parameter change trend in combination with a compression coefficient, gas-water relative permeability, porosity and rock mechanical parameters; utilizing the dynamic response model to simulate the influence of cleat expansion on the pore structure and permeability of the coal seam in the carbon dioxide injection process; and according to the simulation result, the carbon dioxide sequestration amount of the abandoned well under different injection conditions is calculated to determine the sequestration potential. The carbon dioxide input process is simulated by establishing the coal seam physical property dynamic response model, the carbon dioxide sequestration amount of the abandoned well under different injection conditions is calculated to determine the sequestration potential, and the accuracy of abandoned well carbon dioxide sequestration potential evaluation is improved.

The present application relates to the field of crop cultivation and soil improvement technology, and discloses a wheat-corn-sunflower-legume green manure crop rotation carbon fixation and water saving method suitable for arid irrigation areas, which comprises wheat planting, corn planting, sunflower planting and legume green manure planting. The present application replaces traditional flooding irrigation with high-frequency low-amount drip irrigation mode, combines with precise water supply according to the water requirement characteristics of each crop growth period, and avoids invalid irrigation. Meanwhile, through straw returning to field, soil water evaporation is reduced, and soil conservation capacity is improved. Moreover, the present application constructs a double carbon fixation path of straw returning to field and green manure turning, straw is crushed and returned to field, organic carbon is input into soil every year, legume green manure is turned and decomposed, and soil organic matter content is improved. The present application also reduces nitrogen fertilizer application through symbiotic nitrogen fixation of legume green manure and rhizobium, protects soil microbial activity, optimizes soil carbon cycle, relieves soil degradation, and improves long-term carbon fixation potential of soil.

The invention provides a mining area geology restoration method. The mining area geology restoration method comprises the steps that environmental parameters and reaction state data of a to-be-restored mining area are acquired through a sensing network; based on the environmental parameters and the reaction state data, digital twinborn bodies are constructed and run, and the digital twinborn bodies are used for simulating the migration of carbon dioxide in the to-be-restored mining area and the reaction process of the carbon dioxide and minerals; generating an injection strategy for controlling a carbon sequestration reaction process based on a simulation result of the digital twin; according to the injection strategy, injection equipment is controlled to inject a reaction medium into the to-be-repaired mining area; and performing monitoring and fault prediction on the operation state of the injection equipment, and generating a maintenance instruction. According to the invention, intelligence, precision, high efficiency and multi-target collaboration of the geological restoration process of the mining area are realized.

The invention discloses a biochar rice field water carbon and nitrogen cycle process simulation method based on a DNDC model, which comprises the following steps: firstly obtaining basic data of rice growth and test monitoring data of a rice ecosystem under biochar treatment, and then constructing a biochar organic fertilizer module to improve the DNDC model; the method comprises the following steps: establishing a Biochar-DNDC model according to basic data of rice growth and test monitoring data, then calibrating and verifying the Biochar-DNDC model by adopting the test monitoring data, and finally simulating the water carbon and nitrogen cycle process of the biochar rice field by adopting the verified Biochar-DNDC model to obtain the water carbon and nitrogen cycle process of a rice field ecosystem under the condition that biochar is applied to a target area. The simulation accuracy of the DNDC model on the charcoal rice field water carbon nitrogen cycle process is improved, and the simulation result of the charcoal rice ecosystem carbon sequestration emission reduction synergy potential is more real and accurate.