55 results about "Erosion rate" patented technology

The invention relates to the technical field of environmental assessment, and provides a plateau region soil erosion attribution method, system, medium and equipment, and the method comprises the steps: calculating the soil erosion rate of each calculation unit in a research region through a soil erosion model based on multi-source geographic space data; the soil erosion rate is a product of a rainfall erosivity factor, a soil erodibility factor, a slope length gradient factor, a vegetation coverage management factor and a water and soil conservation measure factor; a rainfall erosivity factor, a soil erodibility factor, a slope length and gradient factor, a vegetation coverage management factor and / or a water and soil conservation measure factor are used as key driving factors, and the control degree of the key driving factors on the soil erosion rate change is calculated by adopting a logarithmic mean Dewei index method; wherein the control degree sets a weighting coefficient for each calculation unit in the calculation process, and the weighting coefficient is constructed based on the difference between each calculation unit and the preset reference region. And the independent contribution of each factor to the erosion change can be accurately separated.

The invention provides a coastal erosion rate prediction method, and belongs to the technical field of coastal erosion, and the method comprises the steps: building a three-dimensional seabed grid model, solving a hydrodynamic field through depth average simplification and GPU parallel calculation, and calculating sediment flux distribution based on shear stress discrimination and a high-order windward format. Outputting an erosion mode category and a local erosion strength coefficient by using a coastline erosion feature recognition model comprising a Josephh ring screening layer and a self-organizing mapping projection layer, starting adaptive grid encryption when the local erosion strength exceeds a threshold value, and calling a corresponding parameter set according to an erosion mode to calculate a seabed elevation change and a coastline erosion rate; and a wave energy spectrum reconstruction algorithm is adopted to generate future wave sequence cycle prediction, so that the technical problem that calculation precision and calculation efficiency are difficult to consider in coast erosion rate prediction under a complex wave power condition is solved.

The invention relates to the technical field of oil and gas pipelines, and provides an erosion rate calculation method and system based on key parts of an oil and gas pipeline. The pipeline key area comprises an elbow, a tee joint and a valve; b, constructing a first erosion rate prediction model; c, introducing a correction factor to correct the first erosion rate prediction model so as to construct an erosion rate engineering prediction model; d, inputting the pipeline process parameters and the erosion particle parameters into the erosion rate engineering prediction model, and outputting the target erosion rate of the pipeline; and analyzing the residual life of the pipeline according to the target erosion rate, the current wall thickness of the pipeline and the designed minimum safety thickness. The method can accurately and quickly calculate the erosion rate of the key parts of the tubing string and the gas transmission pipeline.

The invention discloses a landslide catastrophe simulation and multi-parameter early warning method coupling river erosion and progressive deformation. The method comprises the steps that a rock-soil domain and a fluid domain in a model are discretized into particle sets respectively, bidirectional coupling calculation is conducted, and real-time interactive updating of the erosion rate, the pore water pressure, rock-soil deformation and the boundary form is achieved; based on the stress, strain, displacement and damage field variables obtained through calculation, multi-parameter criterion indexes of the point scale, the surface scale and the body scale are calculated in real time; and carrying out normalization and direction unification on the multi-scale criterion indexes, constructing a joint risk index through weighted fusion, and carrying out landslide early warning grade judgment according to the joint risk index. According to the method, bidirectional strong coupling numerical simulation of the whole process of river erosion, underground water seepage, rock-soil progressive deformation and large slippage is achieved for the first time, a multi-scale fusion early warning index system is constructed, and the accuracy and reliability of glide catastrophe prediction and risk early warning in the complex environment are remarkably improved.

The invention belongs to the technical field of geotechnical engineering numerical simulation and parameter identification, and discloses a parameter probability inversion method and system based on SPH water and soil coupling scouring erosion, and the method constructs a probability inversion framework combining smoothed particle hydrodynamics (SPH) and a Bayesian-Markov chain Monte Carlo (MCMC) method. Large deformation and dynamic evolution of a water-soil interface in a water-sand two-phase flow scouring erosion process are simulated through an SPH method, priori knowledge and observation data are fused by adopting a Bayesian theory, and posterior probability distribution estimation of key soil parameters (such as an initial internal friction angle and an erosion rate) is realized by utilizing an MCMC algorithm. According to the method, the probability prediction from parameter uncertainty quantification to the scouring erosion model is realized, the reliability of scouring erosion numerical simulation is improved, the dependence on empirical parameters is reduced, and the technical problem that the existing method is difficult to consider complex water-soil coupling process simulation and parameter uncertainty quantification inversion is effectively solved.

The invention discloses a method for predicting the erosion rate of a control manifold of an offshore oil and gas exploration well. The method comprises the following steps: constructing a support vector machine model; wherein the input parameters of the support vector machine model are the manifold diameter, the manifold bending angle, the fluid speed, the fluid density and the fluid viscosity, and the output parameter of the support vector machine is the maximum erosion rate of the well control manifold; optimizing penalty function coefficients and kernel function parameters of the support vector machine model by adopting a genetic algorithm to obtain an optimized support vector machine model; training the optimized support vector machine model to obtain a well control manifold erosion rate prediction model; and acquiring the manifold diameter, manifold bending angle, fluid velocity, fluid density and fluid viscosity of the to-be-predicted well control manifold, and inputting into the well control manifold erosion rate prediction model to obtain the maximum erosion rate of the to-be-predicted well control manifold. According to the well control manifold erosion rate prediction method provided by the invention, the maximum erosion rate of the well control manifold can be accurately predicted.

This invention discloses a soil and water conservation monitoring method based on automatic positioning and orientation technology, belonging to the field of soil and water conservation monitoring technology. Utilizing automatic positioning and orientation technology and a data acquisition module, it collects relevant monitoring data on rainfall, elevation, equipment tilt, vegetation cover, soil yield, and soil erosion in the currently monitored soil area. Using a data processing module, it calculates and outputs the soil erosion rate TQS, the soil and water conservation measure effectiveness value SBX, and the comprehensive soil and water conservation benefit value SBZ. Based on the comprehensive soil and water conservation benefit value SBZ, a monitoring and early warning module provides real-time monitoring and early warning, guiding the formulation of soil and water conservation measures. This algorithm unit, through comprehensive data collection, real-time monitoring, early warning and feedback, cost reduction, and scientific optimization strategies using automatic positioning and orientation technology, provides a more accurate, efficient, and scientific solution for soil and water conservation work.

The utility model discloses a dam water and soil loss rate detection device, and relates to the technical field of water and soil loss rate detection. Comprising an installation support, the installation support is provided with a sampling mechanism used for detecting the water and soil loss rate of a dam, the sampling mechanism comprises an adjusting assembly, pushing is conducted through the effect of a second electric push rod, and angle rotation adjustment of a supporting sliding rail in a sliding block support through a supporting shaft is achieved; the angle of the soil sampling cutter is controlled, control is performed according to a dam with an inclined plane, it is ensured that the sampling cutter can cut into soil in a proper posture no matter a gentle slope or an abrupt slope, it is ensured that soil sampling can be smoothly performed under the complex terrain condition, and the adaptability of the detection device to different dam terrains is greatly improved; incomplete sample collection or mixing of other layers of soil due to angle deviation is avoided, so that the sampling accuracy and the sample reliability are improved.

This invention discloses a method and system for analyzing soil erosion telemetry data based on deep learning, belonging to the field of data analysis technology. The method includes: extracting soil loss data, surface runoff data, and topographic data; fusing the soil loss data, surface runoff data, and topographic data, and obtaining soil erosion risk index data and soil erosion rate data through feature extraction technology; calculating the weight values ​​of the soil erosion risk index data and soil erosion rate data using feature evaluation technology; and constructing a soil erosion prediction model based on the soil erosion risk index data, soil erosion rate data, and weight values ​​using a deep learning framework and spatiotemporal analysis algorithm. This invention, through telemetry data collection and feature extraction, can quickly obtain key soil erosion information, simplifying the data processing workflow and ensuring the accuracy and reliability of the data.

The invention provides a joint diagnosis data processing method and system based on Hall electric propulsion data, and relates to the field of space electric propulsion. The plume erosion rate is calculated based on the change rate of the sensor resistance, the material type of the erosion sensor and the geometric dimension; according to the material sputtering yield of the erosion sensor, the working medium and working voltage of the thruster, the bias voltage of the Faraday probe and measurement interference data of the bias voltage on the plume erosion rate, the erosion rate of the plume is calculated. Measuring the resistance of the sensor by using a four-wire method in a time sequence in a specified period and measuring the ion current density by using a Faraday probe in another time sequence in the specified period; and calculating plume power density distribution according to the plume erosion rate, the ion current density, the linearly fitted material sputtering rate function and the position of the joint acquisition structure in the plume.

A coated tool includes a base and a coating film on the base. The coating film includes an Al2O3 layer, and a surface layer on the Al2O3 layer. The surface layer has a first erosion rate of 0.1 μm / min or less. The first erosion rate is obtained from measurement by causing a liquid A, in which 3 mass % of amorphous Al2O3 particles having a mean particle diameter of 1.1-1.3 μm is dispersed in purified water, to collide with the surface layer. The surface layer has a second erosion rate of 2.0 μm / min or more. The second erosion rate is obtained from measurement by causing a liquid B, in which 3 mass % of spherical Al2O3 particles having a mean particle diameter of 2.8-3.2 μm is dispersed in purified water, to collide with the surface layer.

This invention discloses a measurement system and method suitable for measuring the sand-fixing capacity of vegetation roots in the field, comprising: a sample lifting device, a field module, a measurement module, a sand sample crushing device, and an integrated control system. This invention can simultaneously achieve real-time and high-precision monitoring of data such as sand content and flow velocity during experiments. It quantifies and analyzes the sand-fixing capacity of vegetation roots through parameters such as soil erosion rate and critical initiation velocity of soil sediment, making it particularly suitable for determining the sand-fixing capacity of vegetation roots in coastal areas.

The invention provides a river bank erosion monitoring and evaluating method and system based on unmanned aerial vehicle inspection, and belongs to the technical field of hydraulic engineering monitoring. Comprising the following steps: S1, segmenting a river bank, and selecting segmented river bank areas needing to be monitored; s2, acquiring historical data of hydrological conditions, erosion resistance, gradient, rainfall intensity and historical vegetation coverage of the monitored segmented river bank areas, and constructing a river bank erosion rate prediction model based on the historical data; s3, planning a flight path of the unmanned aerial vehicle in the monitored segmented river bank area, and obtaining orthoimage maps at different monitoring times; s4, calculating the actual erosion rate of the segmented river bank area according to the ortho-image maps at different monitoring times; and S5, according to the calculated actual erosion rate and the predicted erosion rate of the river bank erosion rate prediction model at the corresponding moment, evaluating the river bank erosion degree according to the difference condition and value between the actual erosion rate and the predicted erosion rate.

The invention provides a concrete member apparent defect assessment method and system, and the method comprises the following steps: obtaining the three-dimensional point cloud, environmental erosion and characterization stress distribution data of the surface of a concrete member, calculating the defect area based on the three-dimensional point cloud data, taking the ratio of the defect area to the member area as a geometric factor, and calculating the apparent defect of the concrete member based on the environmental erosion data. Calculating a predicted erosion rate through a time sequence prediction model, taking a ratio of the predicted erosion rate to a standard erosion rate as an environmental factor, and taking a ratio of actually measured stress to surface stress obtained by the prediction analysis model as a mechanical factor based on characterization stress distribution data; and carrying out weighted fusion on the geometric factors, the environmental factors and the mechanical factors by adopting a dynamic adjustable mode to generate a comprehensive defect index, inputting the comprehensive defect index into the defect evaluation model, and outputting the severity level of the apparent defect. According to the method, automatic evaluation of the concrete member is realized, and the objectivity and scientificity of evaluation are improved.

The present application relates to a kind of solid-liquid two-phase flow erosion life prediction method of submersible electric pump wide flow condition, it includes: constructing the full parameterization fluid domain grid model of submersible electric pump impeller guide vane;Set wide flow discrete working condition sequence, obtain the unsteady flow field data under the multiple discrete flow working condition section covered to;By constructing the two-way coupling discrete phase-turbulent two-phase flow model coupled Saffman lift correction, extract the transient parameter when particle impact impeller guide vane wall;Flow correlation dynamic hardness index function is built;Determine the instantaneous erosion rate of each working condition section in combination with Saffman lift correction factor;Obtain the total erosion damage degree of each node on impeller guide vane wall after experiencing total flow working condition section;The erosion life of impeller guide vane and each sub-region is predicted.The present application introduces flow correlation dynamic hardness index and dynamic velocity index, and reduces the simulation prediction error of erosion rate under variable condition to 12% or less from more than 30% of traditional method.

The invention relates to an on-line measuring device and a measuring method for sample abrasion loss under a single variable condition, an impact particle swarm generation unit generates particle swarms with different impact speeds, and a measuring box is used for placing a sample and is provided with a temperature adjusting unit, a gas guide unit and a measuring unit for on-line measurement of sample quality. And the controller controls and cooperates to complete the abrasion loss test of the high-temperature oxidation sample under the variable temperature condition and the corrosion atmosphere. According to the method, the erosion rate data is calculated more accurately by monitoring the sample quality in real time, the prediction logic of the damage period caused by erosion is obtained by mastering the relationship between particle erosion and steel sheet quality change under different working conditions, and a theoretical basis is provided for equipment maintenance; the erosion weight loss of the steel sheet sample under the conditions of different particle components, impact angles and medium flow rates at high temperature can be tested, and repeated erosion experiments are performed on a single sample by testing the mass of the erosion steel sheet in real time, so that the change rule of the surface damage degree and the weight loss of the sample along with time under different working conditions is obtained.

The present application provides a kind of coal mining subsidence area slope soil erosion intensity evaluation method, device, equipment and medium, belong to soil monitoring field, the method includes: obtaining coal seam goaf parameter;And the maximum subsidence value of corresponding subsidence area of coal seam goaf is calculated by pre-constructed elastic foundation beam model;Further, the subsidence value function is constructed by probability integration method, and the subsidence value function is derived to calculate the slope distribution of subsidence area slope;Based on slope distribution and subsidence area boundary, the slope length of subsidence area is obtained by curve fitting and integral calculation;Based on the slope area water depth, the density of water, the acceleration of gravity and the slope distribution, the slope length of subsidence area is integrated, and the slope water flow comprehensive shear stress is obtained;Based on the slope water flow comprehensive shear stress and the pre-determined soil parameters, the soil erosion rate of subsidence area slope is obtained;Further, the soil erosion intensity of subsidence area slope is evaluated, and the problem of inaccurate evaluation of soil erosion of coal mining subsidence area slope is solved.

The embodiment of the present application provides a kind of soil erosion evaluation method, device, electronic equipment and storage medium, the method comprises: obtaining the coverage of different surface types of soil in target area, and determine the soil erodibility coefficient of different surface types of soil in target area;Target environmental information of target area is obtained, and according to target environmental information and coverage, determine bed surface shear stress and soil erosion critical shear stress;According to bed surface shear stress, soil erosion critical shear stress and soil erodibility coefficient, determine the soil erosion rate of target area.By the embodiment of the present application, the soil erosion rate can be accurately determined.

The invention provides a sandy river bank collapse real-time monitoring and early warning method. The method comprises the following steps: determining a bank collapse monitoring section; measuring a sediment underwater repose angle as a critical instability slope angle phi through an indoor test, and calculating a critical slope toe position; arranging a rigid long rod monitoring device with a photosensitive sensor, and transmitting light intensity data in real time; a real-time slope toe scouring position, an underwater bank slope angle theta and an erosion rate v are obtained based on light intensity signal analysis; comparing theta with phi, dividing early warning levels and triggering a signal; and adjusting the monitoring frequency according to the early warning level, estimating the bank collapse remaining time in combination with the erosion rate, and taking engineering measures or evacuating if necessary. Through automatic high-frequency monitoring, manpower is saved, early warning calculation is simplified, and efficiency is improved; the bank collapse time and the hidden danger level can be predicted through graded early warning, the prevention and treatment cost is reduced through accurate strategy, and technical reference is provided for sandy river bank collapse monitoring and early warning.

The present application relates to the technical field of erosion prediction and equipment health assessment of polysilicon cold hydrogenation device, and discloses a kind of based on mechanism and data fusion's silicon-based new material cold hydrogenation reactor conveying elbow pipe's erosion rate prediction method, obtains elbow pipe inner diameter, curvature ratio, bending angle, particle mass flow rate, particle size and particle velocity, establishes parameterized elbow pipe geometric model, and based on verified gas-solid two-phase flow erosion numerical model, the wall surface erosion rate under sample working condition is calculated, and the maximum erosion rate is extracted to construct LHS-CFD sample database;Erosion rate prediction model consisting of mechanism trend term and Gaussian process residual term is constructed;After inputting target working condition parameters into the trained model, the maximum erosion rate prediction value, prediction variance and prediction interval are output.The present application combines high-fidelity numerical samples with mechanism-constrained proxy modeling, which can reduce the cost of repeated CFD calculation for new working conditions, improve the efficiency of multi-condition erosion rate rapid assessment, parameter screening and high erosion condition identification.

In the field of petroleum process testing technology, we aim to improve the accuracy of calculating acid-rock reaction rates. [Solution] The following steps are included: Reactant H in solution + When mass transfer occurs on a rock wall via diffusion, the mass transfer flux between the wall and the acid solution is calculated based on Newton's law of cooling and Fick's first law, respectively. The mass transfer coefficient equation from the center of the fracture to the fracture wall is obtained and then non-dimensionalized to obtain a dimensionless mass transfer coefficient equation. The convective mass transfer coefficient and the mass transfer of the acid solution within the slit are derived, and a simultaneous solution is obtained to obtain a correlation equation for the convective mass transfer coefficient of laminar flow in a rock fracture. By analyzing the acid-rock reaction in the rock fracture, a mathematical model of the effective mass transfer coefficient of the reactants of the acid solution in the rock fracture is established. A derivation is performed for the acid-rock reaction under mass transfer control, and a model of the acid-rock reaction rate under mass transfer control is established, which is used to predict the rock erosion rate of pure dolomite and pure tuff.

The present application provides a kind of based on unmanned aerial vehicle image's coast erosion monitoring method, belong to coast erosion monitoring technical field, the present application is by in the space and time reference control network of coastal zone monitoring region layout, adopts overall adjustment strategy to simultaneously enter unified coordinate system with multiple time phase image and is registered, utilizes octree space index organization point cloud data and extracts standard coast line position in combination with tide level-coast line response model, changes feature of coast line form is identified by persistence topological analysis, adopts hogge decomposition to reveal erosion driving force direction, topographic feature is input embedded into sediment transport physical constraint, and artificial intelligence prediction model outputs erosion rate field, based on the voxel grid method, calculates erosion volume and according to the erosion response adjustment function value dynamic adjustment sediment discharge flux correction coefficient, establishes multi-dimensional early warning index system to realize risk grade discrimination, solves the technical problem that multiple time phase coast erosion monitoring data registration accumulates large error and leads to the low precision of erosion change amount calculation.

The invention relates to the field of oil-gas exploration and development, and discloses a method, a system, a medium and equipment for dynamic evolution quantitative characterization of sedimentary elements of a sea front sunken structure, and the method comprises the steps: calculating the volume of a current sedimentary body on the basis of fracture recovery based on a sea front sunken region structure background and a current sedimentary pattern; carrying out decompaction correction on the volume of the current sedimentary body to obtain the volume of the sedimentary body in the deposition period, and calculating the denudation amount of the antique source region based on the denudation rate and the effective area of the antique source region; based on the volume of the sedimentary body and the denudation amount of the antique source area, calculating the supply amount S of the sediment source; based on the sunken stratum distribution characteristics, calculating the stratum thickness of the target area in the deposition period; based on deep-time paleogeographic data and correlation coefficient analysis, the plane water depth and the change condition of the paleolake are quantitatively analyzed, the accommodating space A is quantitatively calculated, then A / S is quantitatively represented, and the tectonic deposition filling state and degree of the pit or the basin are judged through the A / S value.

The invention provides a soil wind erosion-sand dust release model construction method based on a physical mechanism, and the method comprises the steps: constructing the critical friction wind speed of different sand grains, and introducing the roughness and soil humidity to correct the critical friction wind speed. Calculating the horizontal jump flux under a single particle size condition by combining the critical friction wind speed, and performing weighted integration by combining the soil particle size distribution to obtain the horizontal jump flux under the mixed particle size. Furthermore, in combination with the mixed particle size horizontal jump flux, the vertical dust release flux is calculated, and an emission source item consistent with the atmospheric mode particle only interval is output. In the scheme, the roughness, the soil humidity, the soil particle size distribution and other key underlying surface parameters are converted into physical constraint conditions, and the influence of the particle size distribution and the underlying surface state temporal and spatial change on the wind erosion rate and dust release is fully considered, so that the systematic deviation introduced by representative particle sizes and constant quantization parameters is reduced; therefore, the simulation precision can be improved, and the uncertainty of a simulation result is reduced.

This application provides a numerical simulation method, system, and medium for erosion wear of titanium alloy pumps and valves. The method includes: acquiring the internal flow channel geometric parameters of the titanium alloy pump and valve, and constructing a three-dimensional geometric model of the internal flow channel; performing mesh generation to generate a computational mesh model; setting titanium alloy material property parameters and flow field boundary conditions; analyzing the fluid medium and solid particles inside the pump and valve using the Euler-Lagrange coupling method based on the computational mesh model, titanium alloy material property parameters, and flow field boundary conditions; analyzing the solid particle parameters based on the motion trajectory information of the solid particles in the flow field, calculating the erosion rate data at different locations on the pump and valve wall, and generating an erosion wear distribution cloud map of the pump and valve inner wall; by using the Euler-Lagrange coupling method, the motion characteristics of individual particles and their impact behavior on the wall can be accurately captured, the erosion rate data can be accurately analyzed, and thus the erosion wear of the pump and valve can be accurately analyzed.

The invention discloses a triaxial test device and method based on salt dissolution erosion. The test device comprises a pressure cavity, an axial loading system, a confining pressure control system, an erosion rate control system capable of continuously injecting constant-temperature water into a sample according to a preset rate, a salt solution collection system for judging whether salt particles in the sample are dissolved or not, and a monitoring system, a saturated salt water tank for injecting saturated salt water into the sample and enabling the sample to reach a saturated state is arranged in the confining pressure control system. The test method comprises: preparing a sample according to requirements; vacuumizing the sample and injecting saturated salt water; applying confining pressure and axial pressure to complete consolidation of the sample; introducing water at a preset temperature to control the erosion rate; detecting the salt solubility of the discharged erosion liquid to judge whether the erosion liquid is completely corroded or not; and performing a drainage shear test on the sample. Saturated salt water is adopted to replace clean water for saturation and consolidation, interference of particle component change in the consolidation stage on test results is avoided, and stress-strain response caused by particle loss can be truly reflected.

The invention relates to a curvature-adjustable flexible elbow erosion system and an erosion evaluation method, and the system comprises an experiment test loop which is used for carrying out a multi-curvature erosion experiment under the condition that a pipe section is not replaced; the gas phase injection system is connected with the experimental test loop and is used for injecting gas into the experimental test loop; and the liquid-solid phase mixing system is connected with the experimental test loop and is used for injecting a liquid-solid mixture into the experimental test loop. According to the invention, the flexible bent pipe test section with the adjustable curvature radius is adopted, so that the multi-curvature erosion experiment of a single pipe section is realized, and the actual pipeline form is accurately matched; a key erosion area is positioned through CFD simulation, and the position of the sample is dynamically adjusted through the two ends of the flexible bent pipe and in the mode of changing the curvature of the flexible bent pipe; and accurately predicting the actual erosion rate of the seabed flexible bent pipe by comparing an experimental result with a simulation result.

The invention provides a linkage row device which comprises a plurality of fixed linkage blocks arranged in multiple rows and multiple columns, the multiple fixed linkage blocks in each row of fixed linkage blocks are fixedly connected to a first connecting rope, and the multiple fixed linkage blocks in each column of fixed linkage blocks are fixedly connected to a second connecting rope. At least one row of movable interlocking blocks are arranged between each outermost row of fixed interlocking blocks and the adjacent secondary outer row of fixed interlocking blocks, in each row of movable interlocking blocks, the multiple movable interlocking blocks are all fixedly connected to a third connecting rope, and the multiple movable interlocking blocks movably sleeve the multiple second connecting ropes in a one-to-one correspondence mode; and a fourth connecting rope is connected between each movable interlocking block and the corresponding fixed interlocking block in the outermost row of fixed interlocking blocks. According to the chain row device, the exposed area of the foundation between the outermost row of fixed chain blocks and the secondary outer row of fixed chain blocks can be reduced, the sinking edge of the foundation is ballasted, the scouring speed of the bearing foundation of the chain row is reduced, and the failure speed of the chain row is delayed.

The present application relates to the technical field of safety evaluation of heavy oil thermal recovery well, in particular to a method for predicting erosion deformation and service life of heavy oil thermal recovery wellhead device. The method comprises the following steps: (1) collecting simulation erosion experiment data; (2) drawing erosion change curve between dependent variables of erosion rate and erosion mass loss, and determining erosion damage critical speed; (3) determining erosion rate formula; (4) calculating fluid mechanics simulation experiment, and obtaining erosion thinning amount distribution under different oil production conditions; (5) judging bearing capacity; (6) obtaining final erosion deformation and predicted service life. The present application has the advantages of rapidness and accuracy.

The application provides a C / SiC nozzle ablation prediction method based on diffusion dynamics and scouring rate function, first, a three-dimensional oxidation ablation model of the C / SiC nozzle and a one-dimensional heat transfer equation set are established, and the one-dimensional heat transfer equation set is solved through time steps one by one, so that the ablation performance parameters and the temperature field of each time step are obtained, and the real-time update of the ablation performance parameters and the temperature field is realized; then, the ablation recession of each time step and the change of the surface oxide film are calculated, and the nozzle thickness is updated in real time, so that the nozzle boundary surface is reconstructed. The application analyzes the diffusion process of the oxidizing gas through the oxidation layer to the reaction wall surface by using diffusion dynamics, considers the mass loss and the morphology change of the oxidation layer and the carbon fiber caused by the gas scouring, and reconstructs the ablation morphology of the nozzle surface by updating the grid nodes, so that the ablation morphology evolution process of the C / SiC composite material nozzle can be well reflected, the ablation performance change rule of the nozzle can be accurately predicted, and the ablation prediction accuracy of the C / SiC nozzle is improved.