166 results about "Phase diagram" patented technology

The invention discloses an altered mineral analysis-based prospecting target prediction method and system, and relates to the technical field of prospecting target prediction. An altered mineral analysis-based prospecting target prediction system comprises a data acquisition module, a clustering analysis module, an alteration combination discrimination module, a spatial modeling module, a space-time coupling module and a metallogenic evaluation module. According to the method, altered minerals and symbiotic combinations of the altered minerals are subjected to layered clustering treatment by introducing mineral thermodynamic phase diagram constraints, multi-stage superposed alteration information in a complex structure area is effectively analyzed, and a mineral symbiotic combination structure model with cause difference expression ability is established; by constructing cause period labels and forming a time sequence decoupling model, systematic distinguishing of alteration bodies formed under the mineralization effect of different times is achieved, and a time sequence basis is provided for identification of the multi-stage mineralization process.

The invention provides a metal material surface difference analysis method which comprises the following steps: calculating Gibbs free energy at different temperatures by adopting a thermodynamic model according to chemical components and an initial microstructure of a material, and drawing a time-temperature-transformation curve of the material through phase diagram analysis software, obtaining a grain growth kinetic parameter and a recrystallization temperature interval; inputting data information of strength, hardness and toughness in different application scenes by utilizing the established multi-objective optimization model, and searching optimal grain size distribution through a genetic algorithm to obtain an optimal microstructure for balancing various performance indexes; according to the optimal microstructure, a heat treatment process route is reversely designed, finite element software is adopted to simulate temperature field and stress field distribution in the heat treatment process, and control parameters of heating, heat preservation and cooling are determined through iterative optimization.

The invention discloses a three-dimensional reconstruction method and system based on a line shift coding pattern, and the method comprises the steps: designing an original fringe pattern in a line shift manner to obtain a plurality of coding patterns, and carrying out the projection and collection of a to-be-measured object through the plurality of coding patterns and a preset Gray code pattern, respectively obtaining a plurality of fringe projection drawings and a plurality of Gray code projection drawings; synthesizing M phase shift fringe patterns according to the collected multiple fringe projection patterns; performing phase calculation on the M phase shift fringe diagrams to obtain a folded phase diagram; and combining the folded phase diagram with the plurality of Gray code projection drawings for phase unwrapping to obtain an unwrapped phase diagram, and reconstructing the to-be-measured object by using a three-dimensional reconstruction principle. According to the method, fringe synthesis is firstly carried out on the plurality of coding patterns, and then phase calculation is carried out on the M phase shift fringe patterns, so that three-dimensional reconstruction is carried out on the to-be-measured object by using the phase, relatively high reconstruction precision is achieved, the robustness is relatively high, and the method has a relatively good application effect in a high dynamic range scene.

The invention discloses a hydrocarbon fuel boiling point and quasi-critical parameter measurement and phase diagram drawing method. The method comprises the following steps: conveying a target substance to a calorimetric tube and heating the target substance to a target temperature; relevant parameters are monitored in real time; according to the parameters monitored in real time, the boiling point of the target substance is obtained based on heat transfer characteristics in the fluid phase change process; on the basis of an energy transfer model between the calorimetric tube and the fuel, a function of a target substance heat sink changing along with the temperature is obtained online; after the heat measuring pipe is cooled to the room temperature, the pressure is adjusted, and the steps continue to be executed to obtain functions of the boiling point of the target substance and the heat sink of the target substance changing along with the temperature under different pressures; based on a quasi-critical parameter measurement method, quasi-critical parameters of a target substance are obtained, and a P-T phase diagram of the target substance is drawn. The invention further discloses a device for hydrocarbon fuel boiling point and quasi-critical parameter measurement and phase diagram drawing. According to the method and the device, accurate measurement of the boiling point and the quasi-critical parameters and accurate drawing of the phase diagram can be realized.

Embodiments relate to system and methods involving use of a technique for managing a database for producing a material composition having a thermodynamic phase. The technique can include: receiving a binary phase diagram for each material to be used as a component of a high-entropy alloy (HEA); using one or more active learning machine learning techniques for generating a feature, the feature including: a primary feature that is representative of a probability that an HEA will exhibit a solid solution phase and / or an intermetallic phase, and a physics-based feature that is representative of a factor related to formation of a desired intermetallic HEA phase; encoding the primary feature and the physics-based feature; generating an output representation of a HEA alloy composition and phase of a predicted materials composition; and selecting a HEA composition and phase that will meet a material design criterion.

The invention discloses a method and a device for correcting laser focusing aberration in a transparent material, and belongs to the technical field of laser processing. The method comprises the steps that a machining light path containing an object plane, an aspheric reflector and a 4F device is built in Zemax, the surface type of the aspheric reflector is optimized with the minimum focus aberration as the target, and a rise table is derived; an optical path difference and a laser phase are calculated through Matlab, and a phase diagram is generated; and an actual machining light path is built, and a phase diagram is loaded to achieve low-aberration machining. Simulation optimization and phase modulation are combined, aberration caused by refractive index difference is effectively counteracted, wavefront errors are reduced by 58%, the thickness of a machining damage layer is reduced by 70%, the method is suitable for various transparent materials, the machining precision and the material utilization rate are improved, and the method is suitable for high-precision laser machining scenes.

The invention discloses a method for dynamically measuring deformation and strain through digital speckle interference, and relates to the field of optical detection. The method comprises the following steps: firstly, building a speckle interference light path, secondly, selecting a to-be-detected area of a detected object, recording four speckle interference patterns with different phase shifts before and after deformation through a polarization camera, performing four-step phase shift on the recorded speckle interference patterns, and then performing subtraction to obtain a deformation wrapped phase diagram; and carrying out sine and cosine filtering and unwrapping processing on the deformation wrapped phase diagram to obtain a real phase diagram, thereby obtaining the deformation and strain of the measured object. According to the invention, the deformation and strain of the measured object can be dynamically detected in real time, the measurement light path is simplified, and the method is a high-precision full-field nondestructive measurement method.

The invention discloses a phase ambiguity reduction method based on speckle auxiliary phase tracking, which can accurately correct the motion error in a phase shift image by adding a speckle pattern in a phase shift projection sequence and calculating the sub-pixel projection point displacement between a front frame and a rear frame by using a DIC algorithm, obviously improves the precision of three-dimensional measurement, and improves the accuracy of phase ambiguity reduction. The projection points of the phase shift image are aligned to the same camera coordinate through a remapping technology, so that the motion blur error is effectively reduced, the accuracy of a measurement result is ensured, the projection points are tracked instead of tracking the motion of an object, the motion error with z-direction displacement can be corrected, a wrapped phase diagram is obtained through a phase shift method, and the accuracy of the measurement result is improved. And phase unwrapping is carried out by combining a double-frequency order method and a constant geometric constraint method, so that the accuracy and continuity of phase unwrapping are ensured, and the three-dimensional shape of the object is reconstructed by utilizing a triangulation method.

The invention relates to the technical field of thermodynamic properties of alloy materials, in particular to a method for calculating vibration free energy based on a bond length-bond stiffness relationship, which comprises the following steps: selecting configurations with the same symmetry according to chemical bond information contained in a crystal structure, uniform stretching or compression deformation is applied to the key body so as to generate key lengths with different lengths; supercells are created for configurations with different key lengths, micro disturbance is applied to atoms with different symmetry in the supercells, and force is calculated; obtaining a force constant matrix between two adjacent atoms according to a force calculation result, and diagonalizing the force constant matrix to obtain tensile bond rigidity and bending bond rigidity; and fitting a key length-key stiffness function according to the tensile key stiffness and the bending key stiffness corresponding to different key lengths to obtain a force constant matrix of all possible key lengths so as to calculate vibration free energy. According to the method, the calculation cost is effectively reduced under the condition that the calculation precision is guaranteed, and a solution is provided for accurately predicting the alloy phase diagram and guiding alloy design.

The invention discloses a side slope deformation monitoring method and device, electronic equipment and a storage medium, and relates to the technical field of data processing, and the method comprises the steps: obtaining a radar image of a to-be-monitored side slope, carrying out the phase analysis of the radar image, and obtaining a phase diagram of the radar image; eliminating a nonlinear phase in the phase diagram to obtain a phase diagram after elimination; calculating the rejected phase diagram to obtain an accumulated deformation quantity; and if the accumulated deformation quantity is greater than a preset first threshold value, processing the to-be-monitored side slope based on determining that the to-be-monitored side slope deforms. Compared with the prior art, the embodiment of the invention has the advantages that the nonlinear phase in the phase diagram is eliminated to obtain the phase diagram after elimination, the phase diagram after elimination is calculated to obtain the accumulative deformation quantity, and whether the slope to be monitored is deformed or not is monitored according to the accumulative deformation quantity; and the nonlinear phase is eliminated, so that the monitoring accuracy of the slope deformation is improved.

The invention relates to the technical field of converter analysis, in particular to a converter transient stability analysis method and system considering HPFR structure influence. The method comprises the steps that an HPFR structure is considered, and a transient response large disturbance dynamic model of a virtual synchronous generator under large disturbance is constructed; based on the constructed transient response large-disturbance dynamic model, analyzing the transient stability of the system by adopting an extended equal-area method to obtain a VSG dynamic response characteristic jointly influenced by a gain coefficient and a cut-off frequency in a speed regulation link; based on VSG dynamic response characteristics, a phase diagram analysis method is adopted to evaluate a gain coefficient and a cut-off frequency in a speed regulation link, and a value interval of the gain coefficient and the cut-off frequency in the speed regulation link is obtained; and optimizing a gain coefficient and a cut-off frequency in a speed regulation link of the virtual synchronous generator, so that a power angle value of the system is smaller than a power angle value of the system tending to be unstable under a fault condition. The method has the characteristics of high analysis precision, difficulty in conservative judgment result and the like.

The invention relates to the technical field of metal surface coating preparation, and discloses a cladding layer surface and deep defect detection method based on pulse laser, which comprises the following steps: clamping and fixing a workpiece; pulse laser excitation and bimodal signal synchronous excitation are carried out; synchronously acquiring and recording dual-channel signals; thermal wave signal processing and surface / near-surface flaw analysis; performing ultrasonic signal processing and deep defect analysis; and carrying out information fusion and three-dimensional flaw reconstruction. According to the invention, the pulse laser beam is utilized to excite the thermal wave and the ultrasonic wave at the same time, various flaws from the surface to the deep layer can be covered through one-time detection, the limitation of a single detection mode is solved, and meanwhile, the depth information of the flaws can be obtained by analyzing the phase diagram of the thermal wave signal; three-dimensional distribution of flaws can be reconstructed by combining ultrasonic time-of-flight (ToF) analysis and infrared sequence images, and accurate positioning and quantitative evaluation are realized.

The invention discloses a design method and a preparation method of low-melting-point high-entropy liquid metal GaInSnBiZn, and belongs to the field of alloy research and development. The liquid metal alloy is formed by mixing five metal elements including Ga, In, Sn, Bi and Zn according to the equal atomic proportion, and aims at avoiding formation of intermetallic compounds and optimizing the microstructure through the high-entropy effect, and low melting point, high stability and good mechanical property of the alloy are achieved. The mixing enthalpy of the binary alloy and the formation enthalpy of the ternary alloy are calculated, thermodynamic analysis and phase diagram research are combined, the proportion of the five elements is determined, the high-entropy alloy is prepared through a vacuum arc melting method under the high vacuum condition, and the high purity and stability of the high-entropy alloy are ensured. The liquid alloy is low in melting point and high in stability, theoretical guidance and technical support are provided for design and preparation methods of novel liquid metal materials, some limitations in the prior art are overcome, and the liquid alloy has high practical application value.

The invention belongs to the technical field of shale oil and gas development, discloses a system and a method for determining a multi-criterion displacement phase diagram for nanopores, and can solve the problem that the multi-criterion displacement phase diagram for the nanopores cannot be determined in the prior art. The visual imaging assembly is used for recording an image of the invasion phase fluid displacing the displaced phase fluid in the nano-porous medium, and the calculation assembly is used for obtaining the displacement mode and the average flow velocity under different displacement pressure difference conditions, obtaining the viscosity ratio and the capillary number, mapping the viscosity ratio and the capillary number into a double logarithmic coordinate system in a data point form, and fitting to obtain a multi-criterion displacement phase diagram. The system can effectively control and monitor fluid flow for the nanofluidic chip, assist in observing a displacement mode in a two-phase flow process, and obtain a multi-criterion displacement phase diagram of nanopores. The method for determining the multi-criterion displacement phase diagram for the nanopores, disclosed by the invention, has the same advantages as the system.

The invention discloses a laser shearing speckle interference phase unwrapping method based on deep learning. According to the method, eight speckle patterns before and after deformation are used as input, multi-scale feature extraction is carried out through layer-by-layer convolution and down-sampling of an encoder, features are sent to an attention fusion module, response weights of channels and spatial positions are adaptively adjusted through channel attention and position attention, then the response weights are input into a decoder, and jump connection with an encoding end is combined, so that multi-scale feature fusion is realized. And step-by-step reconstruction of multi-scale features is realized, and a phase diagram is output. Performing comprehensive constraint on prediction and reference phases in the aspects of numerical deviation, structural consistency and gradient smoothness and updating network parameters by adopting composite loss formed by mean square error, mean absolute error, structural similarity, gradient loss and out-of-plane displacement calculation items; therefore, an unwrapping result which is globally continuous and has clear and stable local details is obtained, and a feasible way is provided for intelligent processing and automatic analysis of the laser shearing speckle interference image.

The invention relates to the technical field of carbon dioxide geological sequestration, and particularly discloses a full-well-section phase state monitoring method and device in a carbon dioxide geological sequestration wellbore, the device comprises an underground monitoring system and a ground acquisition system, and temperature distribution of a full well section and strain distribution of an oil pipe can be obtained; calculating the carbon dioxide pressure distribution of the whole well section according to the strain distribution of the oil pipe, and associating the phase state of each depth position with the space coordinate of the shaft by combining the carbon dioxide phase state diagram to obtain the carbon dioxide phase state distribution diagram of the whole well section. According to the invention, continuous and high-precision monitoring can be carried out on the carbon dioxide phase change in the carbon dioxide injection process, and a key technical support is provided for geological sequestration safety and efficiency evaluation.

The invention belongs to the technical field of optical communication, and discloses a phase diagram optimization method and device, equipment, a storage medium and a product. Determining a plurality of initial phase diagrams corresponding to the wavelength selection switch according to the plurality of groups of initial parameters, then obtaining a plurality of optical power sets corresponding to an output port of the wavelength selection switch, determining a plurality of worst port isolation degrees according to the plurality of optical power sets, and when the plurality of worst port isolation degrees are all lower than a preset threshold value, determining the wavelength selection switch according to the plurality of initial phase diagrams. And adjusting the plurality of groups of initial parameters according to the plurality of worst port isolation degrees to obtain a plurality of groups of target parameters, and determining a target phase diagram corresponding to the wavelength selection switch according to the plurality of groups of target parameters. According to the invention, multiple groups of initial parameters are respectively adjusted according to multiple worst port isolation degrees, and only the initial parameters corresponding to the initial phase diagram can be adjusted, so that the port isolation degree of the wavelength selection switch is rapidly improved, and the target phase diagram corresponding to the wavelength selection switch is determined according to multiple groups of target parameters. And an optimal target phase diagram can be generated.

The invention relates to an artificial intelligence generation method and system for a ferroelectric material component-temperature phase diagram, and the method comprises the steps: obtaining a chemical formula of a ferroelectric material with a doping variable, and setting the chemical formula in a character string form; setting a doping proportion, a temperature change range and a step length; chemical elements and doping proportions in the chemical formula of the ferroelectric material with the doping variable in the character string form are processed, and a chemical formula numerical vector list is obtained; forming a temperature list according to the set temperature change range and step length, and performing normalization processing to obtain a normalized temperature list; based on the chemical formula numerical vector list and the normalized temperature list, merging, inputting into a pre-trained crystal phase transformation artificial intelligence model, and outputting a crystal structure type; based on the type of the crystal structure, drawing a component-temperature phase diagram of the chemical formula of the ferroelectric material with the doping variable under different doping proportions and different temperature conditions; compared with the prior art, the method has the advantages of automatically generating the component-temperature phase diagram and the like.

An information processing method to be executed by a computer is provided. The method includes acquiring energy information indicating a threshold of thermodynamic convex hull energy, generating a phase diagram containing one or more compounds of which the thermodynamic convex hull energy corresponds to the obtained threshold, and outputting the generated phase diagram.

The present invention relates to the fields of material genetic engineering and integrated computational material engineering, and specifically discloses a multi-scale integrated temperature component phase diagram modeling method, which calculates the thermodynamic data of each material phase at a finite temperature based on the first principles, uses the calculated thermodynamic data as input data for the CALPHAD thermodynamic formula, and constructs a CALPHAD thermodynamic model. The present invention also discloses a multi-scale integrated temperature component phase diagram modeling device. The present invention uses the first principles thermodynamic data as the data source for phase diagram modeling, solving the problem of lack of experimental thermodynamic data. Bayesian sampling and Markov chain Monte Carlo methods are used to achieve automatic optimization of multiple parameters, and a core algorithm for developing independent and controllable phase diagram modeling software is proposed to accelerate the realization of domestic substitution of phase diagram modeling software. It can realize the large-scale, process-based, and automated construction of a highly reliable thermodynamic database under the premise of low cost and short R&D cycle, and assist in the design of new material components, optimization of process parameters, and the influence of added elements on phase stability.

The present invention provides a method for calculating the solidification thermodynamics of a multi-component system of alloy steel, and relates to the technical field of steel continuous casting. The method first calculates the pseudo-binary phase diagram of solute elements at different contents of multi-alloy steel, obtains a δ / γ phase transition temperature data set, establishes a δ / γ phase transition temperature Bp neural network prediction model, and trains the Bp neural network prediction model; and optimizes the liquidus temperature solution formula, and then couples the Bp neural network prediction model and the liquidus temperature solution formula to the Ueshima model to obtain the Bp-Ueshima model; establishes the relationship between different cooling rates and secondary branch arm spacing during solidification; and then realizes the calculation of the phase change characteristic temperature and solute microsegregation of multi-alloy steel according to the Bp-Ueshima model. The method uses the Bp neural network prediction model and the optimized liquidus temperature solution formula as a criterion to judge whether the δ, γ, and L phase transitions occur, which is more in line with the actual solidification process of steel.

The invention discloses a parameter correction method and device for airborne InSAR three-dimensional reconstruction, and belongs to the technical field of synthetic aperture radar interferometry, and the method comprises the steps: S1, obtaining an interference unwrapping phase diagram, interference imaging parameters, a phase unwrapping quality diagram and control point data; s2, screening control point data based on the phase unwrapping quality map, and removing control points with poor unwrapping quality; s3, based on the remaining control points and the interference three-dimensional reconstruction model, establishing a parameter correction model, and solving to obtain corrected three-dimensional reconstruction parameters by adopting a normal equation coefficient matrix optimized adaptive iterative adjustment solution method; s4, performing directional iteration of an interference three-dimensional reconstruction model by using the corrected three-dimensional reconstruction parameters, and eliminating gross error control points according to control point directional errors; and S5, repeating the step S3 and the step S4 until the control point orientation error tends to be stable, and obtaining a final correction parameter. According to the invention, accurate correction of the three-dimensional reconstruction parameters of the airborne InSAR is realized.

Methods and systems are disclosed to assess clogging associated with a first well. The first well has a well screen or an open borehole in bedrock. A water sample is received from the first well during an ON state. Water is pumped from the first well during the ON state. A first oxidation reduction potential measurement and a first pH measurement are made on the water sample. First clogging specific information is determined for a first mineral or metal utilizing the first oxidation reduction potential measurement, the first pH measurement, and an Eh vs pH phase diagram for the first mineral or metal.

According to the thermodynamic calculation-based multi-element alloy suspension zone melting component distribution prediction method disclosed by the invention, based on thermodynamic phase diagram calculation and unbalanced solidification numerical model construction, a distribution rule of each alloy element in a solid phase and a liquid phase is determined according to real-time melting zone components; on the basis, quantitative prediction of component distribution of the multi-component alloy bar after smelting in the suspension zone is achieved through movement of the melting zone, and the problem that due to the fact that an existing model uses an approximately-simplified constant distribution coefficient, prediction deviation of solidification components of a multi-component alloy system is large is solved. The calculation method is simple and convenient, the test process of long time consumption and high cost of multi-time suspension zone smelting is avoided, the test workload is reduced, the process optimization process is accelerated, and the cost of repeated tests is reduced.

The application discloses a binary vapor-liquid equilibrium prediction method and device, and relates to the technical field of chemical engineering, in particular to a binary vapor-liquid equilibrium prediction method and device. The method comprises the following steps: decomposing a gas molecule to be predicted into a plurality of groups; calculating a proportion parameter of each group in the gas molecule to be predicted; calculating a binary interaction parameter according to the proportion parameter; establishing a binary phase diagram according to the binary interaction parameter; and predicting a vapor-liquid equilibrium state according to the binary phase diagram. According to the embodiment of the application, the groups are obtained by decomposing the gas molecule, and the binary interaction parameter is established according to the proportion parameter of the groups, so that the manpower, material resources and time consumed by a large number of experiments for establishing the binary interaction parameter are avoided, and the calculation amount of analyzing the vapor-liquid equilibrium is reduced. In addition, the vapor-liquid equilibrium can be determined more accurately through the binary interaction parameter, the prediction is carried out through analyzing the binary phase diagram, and the accuracy is improved.

The invention relates to the technical field of oil and gas resource exploration, in particular to a method for improving the fracturing transformation effect of a horizontal well, which comprises the following steps: S1, selecting a multi-opening segmented multi-cluster fractured horizontal well, and evaluating the opening condition of perforation holes in clusters through a casing phase diagram; s2, determining a phase interval of the unopened eyelets distributed on the casing phase diagram; and S3, according to the phase interval of the unopened eyelets distributed on the casing phase diagram, making countermeasures, wherein the countermeasures comprise the steps of increasing the number of the eyelets and reducing the gravity effect of the propping agent in the horizontal section. According to the method, the gravity effect of the proppant in the horizontal section during migration can be analyzed through the actual monitoring characteristics of the perforation cluster of the horizontal well of the development layer, and the opening rate of the holes in the top of the sleeve is improved through the countermeasures of directional perforation, increase of the number of the perforations in the top of the sleeve and optimization of the bullet type aiming at the phenomenon that the opening rate of the holes in the top of the sleeve is low; and finally, monitoring and evaluating the opening condition of the eyelets until the optimal opening rate is achieved.

The invention discloses an Al-Si-Mg ternary intermediate alloy screening method based on a semi-solid state method. The Al-Si-Mg ternary intermediate alloy screening method comprises the following steps: 1, setting phase diagram calculation and setting parameters of solidification simulation; 2, calculating a result and a solidification simulation result based on the phase diagram; and 3, intermediate alloy components meeting the screening requirements are confirmed. The screening conditions need to meet three screening conditions at the same time, the condition 1 is that the intermediate alloy comprises (0.25-0.45) d wt% of Mg, (6.5-7.5) d wt% of Si, the parameter d is larger than or equal to 4, and the balance is Al; condition 2: f (Si) > 30 wt.%; and the condition 3 is that the semi-solid temperature interval delta T in the solidification process is greater than or equal to 50 DEG C. The invention further discloses a preparation method of the Al-Si-Mg ternary intermediate alloy based on the semi-solid state method and a preparation method of a cast Al-Si-Mg alloy with the ternary intermediate alloy as a raw material.

The invention discloses a super-hydrophobic surface self-cleaning design method based on molecular dynamics simulation, relates to the technical field of super-hydrophobic surface self-cleaning and nanofluid, and discloses a process of impinging deposited liquid drops on a molecular level based on molecular dynamics (MD) simulation. By exploring the influence of various parameter groups, Weber number (We), droplet size ratio (0.5 < = delta < = 2) and wettability (theta0), the results of deposition, regular rebound, closed pore rebound, rupture rebound and the like are systematically mapped to a series of phase diagrams, so that the process of impacting deposited droplets by droplets wrapped with nano-particles is simulated; and parameters such as the droplet size ratio, the Weber number and the surface wettability are optimized by analyzing the dynamic behavior and the energy conversion mechanism of droplet collision, so that the deposited droplets are efficiently and quickly removed. The method is suitable for the fields of micro-nano systems, anti-icing coatings, self-cleaning surfaces and the like, and has the advantages of being flexible in design, low in energy consumption and high in cleaning efficiency.

The application discloses a kind of based on three-dimensional phase diagram straight writing line topography regulation and control method, device, equipment and medium, it is related to printing technical field, comprising: by obtaining the rheological test result of different viscosity ink, printing process parameters and line form characterization data, apparent viscosity and boundary parameter are obtained by integration and power law fitting, construct with normalized height, normalized velocity, apparent viscosity as three-dimensional dimension process phase diagram, then by matching adaptive parameter or ink rheological property obtains target form.This introduces apparent viscosity as the third dimension, optimizes the limitation that two-dimensional phase diagram only adapts specific viscosity ink, quantifies the correlation of process parameters, rheological property and line form, only three core parameters can realize cross-ink system form accurate prediction and regulation, compatible with multiple viscosity inks, significantly reduce parameter optimization time consumption, avoid experience trial and error, accurately identify material process window, provide quantitative target for ink formula optimization, improve printing process adaptability.

The application discloses a kind of deep coal seam CO2 foam fracturing parameter optimization methods based on phase state regulation, first, build the wellbore flow heat absorption model fusing fluid residence time, mixed heat capacity and formation heat transfer characteristics, accurately calculate well fluid temperature and pressure, according to the calculation result, using Span-Wagner state equation, in combination with carbon dioxide phase diagram determines well fluid real phase state, and carry out indoor true triaxial equivalent simulation experiment and sand-carrying performance experiment with this as boundary condition, according to the result fed back by experiment, by adjusting ground injection displacement and foam quality and other parameters, actively control well fluid phase state, to realize the fine regulation and control of reservoir reconstruction effect.The application can effectively eliminate phase state prediction deviation, realize the active regulation and control of well fluid phase state, significantly improve the fracturing reconstruction volume of deep coalbed gas and single well production.