25 results about "Thermochemistry" patented technology

The invention provides a method for identifying natural gas causes of a high-sulfur-content gas reservoir and application. The method comprises the following steps: S1, measuring carbon and hydrogen isotope and component data of high-sulfur-content natural gas of a research target layer and data of potential hydrocarbon source rock kerogen isotope and vitrinite reflectivity; s2, carrying out a natural gas sulfate thermochemical reduction reaction simulation experiment, and determining influence factors of the sulfate thermochemical reduction reaction on carbon and hydrogen isotopes and components of natural gas isotopes; s3, carrying out a potential hydrocarbon source rock hydrocarbon generation simulation experiment, and determining the influence of the hydrocarbon source rock thermal maturity on natural gas carbon and hydrogen isotopes and natural gas components; s4, selecting methane carbon and hydrogen isotopes of the natural gas as identification parameters according to the result, and establishing an identification chart of the gas source cause of the high-sulfur-content natural gas; and S5, substituting the measured carbon and hydrogen isotope values of the high-sulfur-content natural gas into the high-sulfur-content natural gas source cause judgment chart, and determining the cause and thermal evolution maturity of the high-sulfur-content natural gas sample.

The invention belongs to the technical field of computer aided design, and provides a C / C composite material thermochemical response and pore scale structure evolution prediction method, which comprises the following steps: constructing a geometric model of the pore scale of a rocket engine jet pipe; establishing a fluid flow model in a D2Q9 form; establishing a multi-component mass transport model in a D2Q5 form; establishing a heat transfer model in a D2Q5 form; establishing a heterogeneous chemical reaction model of the fluid-solid boundary; establishing an updating model of the composite material based on a volume pixel method; and based on a geometric model, a fluid flow model, a multi-component mass transport model, a heat transfer model, a heterogeneous chemical reaction model and an update model, predicting the thermochemical response and pore scale structure evolution of the C / C composite material in the rocket engine nozzle. The method is provided for studying the ablation process of the C / C composite material, and theoretical basis and guidance direction are provided for thermal performance study and fine design of the spray pipe.

The invention discloses a radiation heat flow prediction method and device based on a convergence flow field, equipment and a medium, and relates to the technical field of aerodynamics. On the basis of an initial convergence flow field result, an initial radiation source item is calculated by using a Step model spectrum model and a target high-temperature thermochemical unbalanced flow field solving equation; obtaining a first radiation source item and a first convergence flow field result under optical thin approximation; on the basis of the first convergent flow field result, calculating the first radiation source item by using a Step model spectrum model, a radiation transfer resolving method and a target high-temperature thermochemical unbalanced flow field solving equation to obtain a second radiation source item and a second convergent flow field result; and on the basis of a second convergence flow field result, a second radiation source item is calculated by using a Line-by-Line spectrum model, a radiation transfer calculation method and a target high-temperature thermochemical unbalanced flow field solving equation, so that the simulation calculation amount of an aerodynamic radiation coupling numerical value is reduced, and the efficiency of a coupling calculation process is improved.

The present application discloses a method and device for determining the reaction intensity of TSR in a reservoir, which belongs to the technical field of oil and gas reservoirs. The method comprises: obtaining sulfate ions SO4 in the formation water of the target reservoir; 2‑ The concentration of chloride ions Cl ‑ Calculate the concentration of SO4 in the formation water of the target reservoir 2‑ The concentration value and Cl ‑ The ratio of the concentration values ​​of SO4 in the formation water of the target reservoir; 2‑ The concentration value and Cl ‑ The reaction intensity of the thermochemical sulfate reduction reaction TSR in the target reservoir is determined by the ratio of the concentration values ​​of . The present application can more accurately determine the reaction intensity of the TSR in the reservoir.

The invention discloses a heating power configuration method based on the thermophysical property of a calcium-based thermochemical material and a related device, and the method comprises the following steps: determining the sensible heat Q1 absorbed by a bed layer at the t moment and the reaction heat Q2 of the bed layer at the t moment according to the reaction equation of the calcium-based thermochemical material in the dehydration heat storage process; and determining the heating power of the calcium-based thermochemical material at the moment t according to the sensible heat Q1 absorbed by the bed layer at the moment t and the reaction heat Q2 of the bed layer at the moment t. The method and the related device can obtain the heating power of the calcium-based thermochemical material.

The invention relates to the field of thermochemical in-situ reaction, and discloses a thermochemical reaction tank suitable for X-ray transmission in-situ analysis, which comprises a reaction generation module and a base support module, the reaction generation module comprises a reaction tube, a thermocouple, a heating resistance wire and a temperature control device. According to the invention, X-ray transmission-type analysis can be realized, and related structural characteristic changes of the material in a working process in a high-temperature and high-pressure environment can be accurately obtained; the device has a high altitude level time resolution, and has advantages for capturing an intermediate process highly dependent on time in a reaction process; the reaction tank is not limited by reaction gas selection and has a large-temperature-range heating function, so that the reaction tank can meet complex in-situ reaction experiment conditions; the method is high in characterization expansibility, can be combined with a mass spectrometer or a spatial resolution capillary sampling mass spectrometer for use, and simultaneously monitors product dynamic information in a reaction process; the device is small in size, easy to disassemble and convenient to replace to different instrument platforms for working; the device is simple in overall structure, low in manufacturing cost and beneficial to application and popularization.

The present application discloses a radiation heat flux prediction method, device, equipment and medium based on a convergent flow field, which relates to the technical field of aerodynamics. On the basis of the initial convergent flow field result, the initial radiation source term is calculated using the Step model spectral model and the target high-temperature thermochemical non-equilibrium flow field solution equation to obtain the first radiation source term and the first convergent flow field result under the optical thin approximation; on the basis of the first convergent flow field result, the first radiation source term is calculated using the Step model spectral model, the radiation transfer solution method and the target high-temperature thermochemical non-equilibrium flow field solution equation to obtain the second radiation source term and the second convergent flow field result; on the basis of the second convergent flow field result, the second radiation source term is calculated using the Line‑by‑Line spectral model, the radiation transfer solution method and the target high-temperature thermochemical non-equilibrium flow field solution equation to reduce the amount of numerical simulation calculations of aerodynamic radiation coupling and improve the efficiency of the coupling calculation process.

The invention provides a composite material thermochemical ablation calculation method based on a physical information neural network, and relates to the technical field of macroscopic thermochemical ablation prediction. The method comprises the following steps: constructing a macroscopic thermochemical ablation reaction equation of the carbon-carbon composite material; constructing a thermal chemical ablation heat conduction equation of the carbon-carbon composite material; constructing a physical information neural network model; constructing a macroscopic geometric model of the carbon-carbon composite material; training a physical information neural network model; inputting the macroscopic thermochemical ablation carbon-carbon composite material to be detected into the trained physical information neural network model to obtain a macroscopic thermochemical ablation behavior prediction result of the carbon-carbon composite material; according to the method, the thermal conduction physical law is embedded into the neural network, deep fusion of data driving and physical constraint is achieved, rapid and high-precision prediction of thermal chemical ablation of the composite material is achieved, and the method has a huge application prospect.

The invention provides a method for optimizing a thermochemical huff-puff efficiency-raising process of a heavy oil reservoir, which comprises the following steps of: 1, collecting geological data, establishing a numerical model, and calculating to obtain a relation curve between different factors and productivity; step 2, fitting the relation curve to obtain a relational expression between different factors and productivity; 3, according to the oil reservoir development condition, influences of different factors are calculated; 4, calculating the influence ratio of different factors on the productivity by using an analytic hierarchy process; and step 5, optimizing a steam huff and puff efficiency improving process according to the influence degree. According to the method for optimizing the heavy oil reservoir thermochemical huff and puff efficiency improving process, quantitative comparison of different productivity influence factors of different types of heavy oil reservoirs is achieved, quantitative evaluation of the influence of different factors on productivity is achieved in combination with an analytic hierarchy process, according to the proportion of different factors, thermochemical agents are optimized, and the multi-round steam huff and puff development effect is improved.

The invention discloses a layered alternate intermittent steam drive method in the later stage of thermochemical huff and puff of a heavy oil reservoir, and belongs to the field of thermochemical steam drive of the heavy oil reservoir, the method comprises the following steps: firstly, screening an oil reservoir area meeting proper conditions of layered intermittent steam drive as a research area, and ensuring that the selected research area is a research area with research value; waste of research resources is avoided; different stopping and injecting periods and injecting amount schemes in the layer are designed, and the optimal stopping and injecting periods and the optimal injecting amount in the layer are selected according to the oil-gas ratio and the recovery ratio simulated by the schemes; different stopping and injecting periods and injecting amount schemes between the layers continue to be designed, and the optimal stopping and injecting periods and the optimal injecting amount between the layers are selected according to the oil-gas ratio and the recovery ratio; and finally, determining an optimal scheme of the intermittent steam-driven oil reservoir according to the optimal stop and injection periods and the injection amount determined between the layers and in the layers, and improving the heavy oil production by using the optimal scheme.

The embodiment of the invention discloses a high-pressure gas switch arc plasma particle component prediction method, system, medium and equipment, and the method comprises the steps: constructing a thermochemical database, and storing the thermodynamic parameters of SF6, air, fluorocarbon and dissociation / ionization decomposition products thereof, and metal steam; the method comprises the following steps: performing atomic-scale decomposition on a detected arc extinguishing medium to identify basic elements, extracting metal vapor, neutral particles containing the elements and charged ions generated by ionization of the neutral particles in combination with a database, and forming a candidate particle list; constructing a reaction equation library (reactants and products are from candidate lists) on the basis of mass conservation, and determining dominant reaction paths under different temperatures and pressures; determining particle number density distribution during balance according to the dominant path, constructing a neural network model taking temperature pressure as input and number density as output, defining a loss function and completing training; and finally, inputting the current arc temperature pressure to quickly obtain the corresponding population density distribution so as to provide support for the optimization of the arc extinguishing performance of the high-voltage switch.

The present invention proposes a method and system for predicting the modal heat flux of hypersonic thermochemical non-equilibrium flow, which relates to the technical field of hypersonic heat flux prediction. It includes constructing a group of N-S equations; characterizing the thermochemical non-equilibrium effects in the hypersonic flow field based on the vibration-electron energy source term and the chemical reaction source term; obtaining the translational-rotational thermal conductivity, vibration-electron thermal conductivity, and component mass diffusion coefficient and viscosity coefficient corresponding to the two temperature models based on the transport model; iteratively solving the N-S equations to obtain the translational-rotational modal heat flux density and the vibration-electron modal heat flux density according to Fourier's law, and simultaneously obtaining the chemical diffusion heat flux density; summing the translational-rotational modal heat flux density, the vibration-electron modal heat flux density, and the chemical diffusion heat flux density to obtain the total heat flux density. The present invention extracts the translational-rotational heat flux, the vibration-electron heat flux, and the surface chemical diffusion heat flux from the total heat flux, clarifying the heat flux composition.

The invention discloses a DSMC method for coupling a surface catalytic reaction, which is characterized in that on the architecture of a basic DSMC method, a limited reaction rate model of the surface catalytic reaction is constructed by coupling physical adsorption, chemical adsorption, E-R composite reaction and L-H composite reaction; the method is used for considering heat flow contribution brought by surface reaction in prediction of the strength of an aircraft surface thermal protection system and characterization of a thermochemical unbalanced surface effect under a hypersonic flight condition. According to the DSMC method coupled with the surface catalytic reaction, compared with a traditional surface reflection and diffuse reflection gas-surface action model, a limited reaction rate model provides a gas-solid chemical reaction model based on multidisciplinary intersection of chemical kinetics, statistical mechanics and the like, heat flow contribution brought by the surface reaction can be further considered, and the method has the advantages that the method is simple and convenient to operate. The problem of inaccurate prediction of the heat flow intensity of the aircraft surface thermal protection system is effectively improved.

This application provides a method for calculating the thermochemical ablation of composite materials based on a physical information neural network, relating to the field of macroscopic thermochemical ablation prediction technology. The method includes: constructing a macroscopic thermochemical ablation reaction equation for carbon-carbon composite materials; constructing a heat conduction equation for the thermochemical ablation of carbon-carbon composite materials; constructing a physical information neural network model; constructing a macroscopic geometric model of carbon-carbon composite materials; training the physical information neural network model; inputting the carbon-carbon composite material to be detected for macroscopic thermochemical ablation into the trained physical information neural network model to obtain the prediction result of the macroscopic thermochemical ablation behavior of the carbon-carbon composite material. This method, by embedding the physical laws of heat conduction into a neural network, achieves a deep integration of data-driven and physical constraints, enabling rapid and high-precision prediction of the thermochemical ablation of composite materials, and has great application prospects.

The invention provides a cross-scale conversion method and device for reaction kinetic parameters of a composite material, and the method comprises the steps: obtaining input parameters of internal fibers and a matrix of the material; respectively calculating a dimensionless ablation factor of the fiber surface and a dimensionless ablation factor of the matrix surface under the current condition by adopting a thermochemical ablation model; carrying out local thermal environment flow reaction simulation to obtain a matrix surface mass transfer coefficient by adopting a micro-structure unit cell model and taking the micro-structure unit cell model as a chemical reaction boundary; based on the matrix line ablation rate and the conversion matrix line ablation rate, setting matrix surface ablation and material initial ablation surface parallel conversion material line ablation rate; carrying out aerodynamic thermal environment flow reaction simulation to obtain a material scale surface flow field mass transfer coefficient, and converting a material dimensionless ablation factor; and based on the thermochemical ablation model, a parameter identification method is adopted to obtain material reaction kinetic parameters after cross-scale conversion.

The invention discloses a table establishing method for simulating turbulent flow heat diffusion unstable hydrogen combustion, and belongs to the field of hydrogen turbulent flow combustion numerical simulation calculation. On the basis of a multi-component space model (CSM), a small flame model containing a difference diffusion effect, curvature and a strain rate is established, an original solution of the small flame model is mapped into a component space to establish a small flame table, and the influence of the curvature and the strain rate on turbulent flow thermal diffusion unstable hydrogen combustion characteristics is considered at the same time. According to the method, the thermochemical variables in the small flame table are directly extracted according to the space components, and direct calculation in numerical simulation is avoided, so that the calculation cost is reduced. The method has certain guiding significance in researching the application of low-propagation-speed turbulent heat diffusion unstable premixed hydrogen flame combustion.

The invention discloses a multi-physical field coupling simulation method for curing deformation of a hybrid composite material, and belongs to the technical field of composite material forming simulation. The method comprises the following steps: establishing a three-dimensional geometric model of a hybrid composite material laminated plate, and constructing a multi-physical field coupling environment comprising a chemical field, a thermal field, a resin flow-compaction field and a stress field; according to preset curing process parameters, a process action area with temperature and pressure changing along with time is set in the model; through multi-physics field coupling finite element calculation, curing degree distribution, temperature distribution, fiber volume fraction distribution and stress distribution in the laminated plate in the curing process are obtained; and constructing a curing deformation simulation result of the laminated plate based on the distribution result, and performing visual display. The method can comprehensively reflect the influence of curing reaction heat release, heat conduction, resin flow compaction and thermochemical strain on curing deformation, and provides a simulation analysis means for hybrid composite laminate curing process design and deformation prediction.

The present application is directed towards a method for performing a closed thermochemical and thermodynamic (chemo / thermodynamic) work-producing cycle having improved efficiency, wherein the chemo / thermodynamic work-producing cycle includes a first work-producing half-cycle and a second heat-producing half-cycle, the first work-producing half-cycle includes an endothermic reaction, and the second heat-producing half-cycle includes an exothermic reaction.

This invention discloses a simulation method and related equipment for ammonia energy storage based on the local non-thermal equilibrium method, belonging to the field of thermochemical energy storage in solar tower power plants. This method constructs a three-dimensional model of the ammonia decomposition reaction tube, which overcomes the shortcomings of the two-dimensional model, which can only show the temperature and ammonia mass fraction at the cross-section of the ammonia decomposition reaction tube with the axial direction and radius. It can reflect the temperature and ammonia mass fraction at the cross-section of the ammonia decomposition reaction tube with the circumferential angle. The invention proposes to use the local non-thermal equilibrium method to study the ammonia decomposition reaction tube on the heat-absorbing side of the solar thermal ammonia energy storage system, replacing the traditional continuous homogeneous medium model. Due to the different heat transfer characteristics, there is a temperature difference between the gas and the catalyst particles in practical applications. Studying the temperature change laws of the gas and catalyst particle sides separately can obtain more accurate results and reveal the energy transport characteristics of the thermal-chemical energy conversion of ammonia energy storage more profoundly.

The application discloses an improved method of a thermodynamic two-temperature model non-equilibrium energy system, and mainly is used in the numerical simulation process of hypersonic thermochemical non-equilibrium flow. The method reconfigures the calculation form of each temperature energy mode representation and relaxation and transport process of the two-temperature model by referring to the calculation method of the one-temperature model equilibrium energy system, and re-models and calculates the equilibrium energy item represented by the vibration temperature by using a polynomial fitting method to replace the original complex and time-consuming exponential calculation mode. The method is good in adaptability to the existing thermodynamic two-temperature model solver framework, can improve the numerical stability of the thermochemical non-equilibrium flow simulation process and improve the calculation efficiency on the premise of ensuring the calculation precision.

The invention discloses a thermochemical energy storage system regulation and control method based on thermal-chemical coupling and a related device. The method comprises the following steps: constructing a thermal-chemical coupling model; in the energy storage stage, on the basis of the thermal-chemical coupling model, calculating the instantaneous power Qchemm of material chemical energy storage, predicting a power part Qsensor used for sensible heat temperature rise according to the instantaneous power Qchemm of material chemical energy storage, and when the injection rate of the Qsensor exceeds the thermal diffusion rate and causes local overtemperature, automatically starting a 1-0 discontinuous heating mode; in the energy release stage, the instantaneous power Qchem of material chemical energy storage is predicted, when the predicted Qchem is decreased by delta Q due to increase of alpha, sensible heat needing to release delta Q through bed layer cooling is calculated, smooth switching and compensation of two heat sources are achieved by combining the flow of heat exchange fluid, and the method and the related device can achieve regulation and control of the thermochemical energy storage system.

The invention discloses a rotational flow hydrogen turbulent combustion heat loss and differential diffusion numerical calculation method, and belongs to the field of rotational flow hydrogen turbulent combustion numerical calculation. The method comprises the following steps: establishing a rotational flow model containing a mixed fraction, a progress variable, normalized enthalpy and a mixed fraction second-order control equation; adjusting reactant temperature to simulate heat loss based on a hedging flame device, and constructing a small flame table in combination with a non-unit Lewis number hypothesis; mapping the parameters to / / / four-dimensional space to generate a small flame library; and after solving the control equation, looking up a table to obtain a thermochemical amount, and carrying out iterative convergence by adopting a PIMPLE algorithm. According to the method, the heat loss and the difference diffusion effect are comprehensively represented through the four-dimensional parameter space, the velocity field and the temperature distribution of the double-swirl hydrogen flame can be accurately predicted, and an efficient simulation tool is provided for optimization of the swirl burner.

The application discloses a small flame modeling method considering curvature and differential diffusion for hydrogen-rich fuel quenching, and belongs to the field of energy and combustion engineering. The method comprises the following steps: a database is established by solving one-dimensional premixed small flame equations by using ULF software; the database is mapped to a control parameter space (mixing fraction, process variable, enthalpy and hydrogen mass fraction) by an OpenFOAM mapping program, wherein the hydrogen mass fraction represents the curvature effect; a differential diffusion term is introduced when solving the control parameter equation set, and the thermochemical variable is obtained by table lookup. The application firstly considers the influence of the curvature effect and the differential diffusion effect on the quenching process, takes the hydrogen mass fraction as the curvature proxy variable, and significantly improves the prediction accuracy of the quenching speed. Through dimension reduction processing, the number of equations to be solved is reduced, the calculation efficiency is improved while the accuracy is ensured, and the method is suitable for quenching process simulation of all gas fuels.

The invention discloses a small flame modeling method considering curvature and differential diffusion for hydrogen-rich fuel tempering, and belongs to the field of energy and combustion engineering. The method comprises the following steps: solving a one-dimensional premixed flame equation by using ULF software to establish a database; mapping the database to a control parameter space (mixing fraction, process variable, enthalpy and hydrogen mass fraction) through an OpenFOAM mapping program, wherein the hydrogen mass fraction represents a curvature effect; a difference diffusion term is introduced when a control parameter equation set is solved, and thermochemical variables are obtained through table look-up. According to the method, the influence of the curvature effect and the difference diffusion effect on the tempering process is considered at the same time for the first time, the hydrogen mass fraction serves as a curvature agent variable, and the tempering speed prediction precision is remarkably improved. The number of solving equations is reduced through dimension reduction processing, the calculation efficiency is improved while the precision is guaranteed, and the method is suitable for tempering process simulation of all gas fuels.

The present application belongs to the technical field of protection systems, and specifically discloses a method for predicting the permeability of a thermally resistant porous microstructure under a high-temperature chemical reaction environment, including determining the high-temperature gas environment parameters during a reentry process; establishing a three-dimensional geometric model of the thermally resistant porous microstructure; performing a DSMC gas flow simulation of the thermally resistant porous microstructure; calculating the permeability of the thermally resistant porous microstructure based on the gas flow parameters; considering the influence of a multi-component gas environment of a high-temperature chemical reaction on the permeability characteristics of a thermally resistant porous material, overcoming the limitation of the prior art that is limited to a single-component gas or room temperature air, considering the gas molecule dissociation effect under a high-temperature environment and the chemical reaction process of a mixed gas and a porous material solid, so that the analysis results are closer to the actual working conditions during the reentry process; a permeability analysis method and a permeability normalization method based on the Klinkenberg model, quantitatively characterizing the permeability characteristics of the material under different temperature and gas component conditions under a thermochemical non-equilibrium environment in which intramolecular energy is excited.