74results about How to "Accurate quantitative evaluation" patented technology

The invention discloses a calculating method for the size of a fracturing and broken region of a horizontal well for shale. The calculating method comprises following steps of: A, utilizing the theory of crack propagation available to establish a hydraulic fracture extension model during a shale fracturing process; B, utilizing the theory of rock mechanics available to establish a model for stress field variation during a shale fracturing process; C, utilizing the theory of seepage mechanics available to establish a model for pressure field variation during a shale fracturing process; D, utilizing the rock breaking theory available to establish a rule model for natural fractures; E, combining the above four steps to calculate and represent the size of the fracturing and broken region by means of a calculation flow. The calculating method for the size of the fracturing and broken region of the horizontal well for shale has following beneficial effects: time and money spent on calculating the size of the broken region during fracture of the horizontal well for shale are saved so that the valuation of the size of the fracturing and broken region can be extensively prompted and applied.

The invention discloses a method and device for extracting a pulmonary lobe from a chest CT image and relates to the technical field of a computer. The method can obtain pulmonary lobe tissues through a pulmonary parenchyma extraction process based on 3D region growth, a left and right lung adhesion trachea removal process based on region features, a pulmonary vascular root removal process, a pulmonary vascular center path extraction process based on topological thinning and a pulmonary lobe segmentation algorithm based on support vector classification. The method can accurately extract the pulmonary lobe from the chest CT image, can accurately finish quantitative evaluation of illness degree of each pulmonary lobe and is more accurate and effective for diagnosis and treatment of lung diseases.

The invention relates to a network security situation evaluation method based on CS and improved BP neural network. The method comprises four steps of S1. acquiring network security situation elements, forming a training sample set and a test sample set, and determining a BP neural network structure; S2. seeking an optimal initial weight and a threshold by using a CS algorithm; S3. introducing a momentum factor and a gradient factor to improve the BP neural network; S4. training the improved BP neural network, finally, using the trained network in network security situation evaluation so as toobtain a final situation value and a security level. Network security situation is evaluated precisely and quantitatively by using the improved BP neural network, so that subjective effects of expertopinions in traditional evaluation methods are lowered, and overall network security situation is reflected objectively and comprehensively; and the network security situation is improved by combining the CS algorithm and introducing the momentum factor and gradient factor, the convergence speed is improved, time and space overheads are reduced, and accuracy and practicability of network securitysituation evaluation are improved.

The invention relates to a false separability evaluation method for a flight control system of unmanned aerial vehicle. In order to realize the optimal design of the flight control system of unmanned aerial vehicle, the system fault separability degree needs to be evaluated during the design stage of the unmanned aerial vehicle. The control system model of the unmanned aerial vehicle is set up in the invention according to the principle and fault type of flight control system of unmanned aerial vehicle;fault diagnosis residual generator is built by equivalent space method; the fault separation condition is set up by the cosine distance of the residual vector caused by the different faults; the fault separation complexity is evaluated by the similarity ration of the residual vector; the distance similarity is combined with the direction similarity in the mode identification, and false separability ration evaluation index is suggested. The evaluation method can evaluate the difference of the residual vector in the direction and distance caused by different false,and a reference basis can be provided to the design of the unmanned aerial vehicle and the fault separation algorithm.

The invention relates to a numerical simulation method for chemical flooding of heavy oil reservoirs, comprising the following steps of: collecting parameters; The calculation and treatment method ofthe parameters of the mathematical model which characterizes the mechanism of heavy oil chemical flooding is established. Defining multi-component and multi-phase model; The size, physical propertiesand fluid properties of the core or sand packing model used in the laboratory physical simulation experiment are used to establish the numerical simulation model of heavy oil chemical combination flooding, and modify the parameters of the mathematical model to characterize the mechanism of heavy oil chemical flooding. The 3D reservoir geological model and the actual field production data are imported into the laboratory scale heavy oil chemical combination flooding numerical simulation model, and the 3D heavy oil chemical combination flooding numerical simulation model is established. The invention lays a foundation for predicting the field application effect of chemical combination flooding in heavy oil reservoirs, and provides a theoretical basis for exploring the application of chemicalcombination flooding in heavy oil reservoirs while perfecting the quantitative characterization model of the mechanism of chemical combination flooding in heavy oil reservoirs.

The invention discloses a crack-substrate coupling flow damage evaluating device and method by simulating formation conditions. The device mainly consists of a kettle body 4, a rock core 1, a crack 6, a simulated well 7, a pressurized capsule 3, a resistance probe 16, a pressure sensor 18, a data collecting system 17 and a work liquid circulation system, wherein the rock core 1 is arranged in the kettle body 4; the pressurized capsule 3 wraps the periphery of the rock core; the kettle body is provided with an axial pressure injecting opening, a peripheral pressure injecting opening and a gas inlet; the crack 6 and the simulated well 7 are arranged in the rock core; nine drilling holes extending into the rock core are distributed in the rock core; the resistance probe 16 is arranged in the drilling holes; the resistance probe 16 is connected with the pressure sensor 18; the resistance probe and the pressure sensor are connected with the data collecting system 17; the simulated well 7 is connected with the work liquid circulation system. The circum-well secondary stress condition and the formation radial flow of a crack-substrate system are simulated for determining the damage degree of the crack-substrate system by the device. The device and the method have the advantages that the principle is reliable; the operation is convenient; scientific and accurate quantitative reservoir damage evaluation can be made.

The invention discloses a fiber-optic ring reciprocity symmetry evaluating method and a compensation method. According to the invention, fiber-optic ring inner stress state distribution data of the representation reciprocity symmetry is acquired by using enhanced Brillouin back reflection detection technologies, a symmetry model within an operating temperature range is established through the distribution data, and the reciprocity symmetry of a fiber-optic ring to be detected is analyzed and evaluated; and meanwhile, the relation between an actual geometric symmetry position and an optical symmetry position is adjusted according to the acquired optimal reciprocity symmetry position, the error size and the error direction so as to compensate the error, thereby realizing high reciprocity symmetry of the fiber-optic ring, and effectively reducing the environmental nonreciprocal error caused by poor symmetry of the fiber-optic ring. The implementation method is simple, the comprehensive applicability is high, the measurement precision is high, the reliability and the repeatability are high, and the quality of the fiber-optic ring can be estimated through evaluating the reciprocity symmetry of the fiber-optic ring. Meanwhile, the symmetry error can be compensated, the nonreciprocal error is greatly reduced or eliminated, and the environmental adaptability of the fiber-optic ring is improved.

The invention discloses a method for analyzing reliability of a standby redundant system on the basis of a fault tree. The method comprises: establishing a fault tree model of the standby redundant system; carrying out qualitative analysis on the established fault tree; on the basis of a qualitative analysis result, carrying out quantitative analysis on the fault tree. When the fault tree model ofthe standby redundant system is established, according to a system-subsystem-equipment-equipment failure mode sequence, a system-redundant row model, a sequence failure group and a model of a sequence dependence relationship among redundant rows, equipment and equipment failure modes are sequentially established, and each equipment failure mode is completely analyzed and used as a lowermost layerevent. According to the fault tree modeling and analysis method disclosed by the invention, a more real system failure path is described, a system failure probability is subjected to more accurate quantitative evaluation, the unnecessary conservative property possibly introduced in an original fault tree method is eliminated, and more accurate estimation on the reliability level of the system isimplemented.

The invention discloses a static voltage stability assessment method of a three-phase unbalanced power distribution network including wind power. The static voltage stability assessment method of the three-phase unbalanced power distribution network including the wind power comprises the steps of: obtaining parameters of a power distribution network system and wind power parameters accessed to the power distribution network; setting the initial value of the load increase factor LSF of the power distribution network system including the wind power as 1, obtaining a tide of the power distribution network system including the wind power at the presence of the current LSF based on the parameters of the power distribution network system and the wind power parameters , judging whether the tide is converged, if so, obtaining a voltage amplitude value and a phase angle of each node of the power distribution network and a transmission power of the terminal end of each branch, otherwise, indicating that the power distribution network loses the static voltage stability; obtaining the static voltage stability index of each branch based on the tide calculation result of the power distribution network including the wind power; obtaining a static voltage stability index and a stability margin of the whole network based on the static voltage stability index of each branch, assessing the static voltage stability of the power distribution network including the wind power at the presence of the current LSF based on the sizes of the static voltage stability index and the stability margin, and determining the weakest branch and weakest node of the system.

The invention discloses an online equipment health state self-detection method and system for tobacco processing equipment. The method comprises the steps that parameters reflecting the state of the tobacco processing equipment in real time are acquired; the tobacco processing equipment state parameters corresponding to an operating state are selected according to the operating state that the tobacco processing equipment is in; an evaluation model for the health state of the tobacco processing equipment is constructed according to the selected tobacco processing equipment state parameters; the parameter weight, a model parameter center value, a model parameter threshold value and a stage key parameter in the evaluation model for the health state of the tobacco processing equipment are determined; the corresponding parameter current value, parameter center value, parameter threshold value, parameter weight and key parameter value of the tobacco processing equipment are substituted into the constructed evaluation model for the health state of the tobacco processing equipment according to the state that the tobacco processing equipment is in, and then the health state of the tobacco processing equipment in a current state is obtained. According to the online equipment health state self-detection method and system for the tobacco processing equipment, the adopted data is real-time online data, and by taking the data as an evaluation basis, more truth is achieved, and quantitative evaluation is more precise.

A zero point adjustment is performed by generating no signal state of a CCD camera. A state in which stray light does not enter the CCD camera is ensured by a calibration shutter. An output signal of the CCD camera is transmitted to a light amount calculator, and a calibrating section executes a calibration for the light amount calculator by using an output signal value as a reference (zero point). Further, light outputted from a laser light source is attenuated by an optical attenuator and is made to be incident on the CCD camera. By switching an attenuating amount of the optical attenuator, correctly set light is made to be incident on the CCD camera. The output signal of the CCD camera is transmitted to the light amount calculator, and the calibrating section executes the calibration such that values of the respective output signals correctly correspond to respective light amounts.

The invention discloses an aviation metal small diameter tube defect internal inspection probe and a method. The probe includes a disc coil and a circumferential rectangular coil group array that arefixed on a photosensitive resin coil skeleton together. The disc coil and the photosensitive resin coil skeleton are coaxial, rectangular coils in the circumferential rectangular coil group array areevenly arranged along the circumference, adjacent rectangular coils are in contact with each other, and the disc coil passes perpendicularly through the air field surrounded by each rectangular coil;the winding groups of the disc coil and the rectangular coils are respectively obtained by winding of three-core-wire groups, wherein each three-core-wire group comprises three side-by-side same-diameter copper core enameled wires; the winding group of each coil comprises three independent coils, a middle coil is an excitation coil, two side coils are detection coils, the two detection coils are connected in differential arrangement, and difference of induced voltage signals picked up by the two detection coils is taken as an output signal. The present invention also provides the detection method of the probe, and the detection method can detect aviation metal small diameter tube defects quickly and highly accurately, and has important engineering application value.

The invention relates to the technical field of image processing, particularly provides an image quality evaluation method and device and a computer readable storage medium, and aims to solve the technical problem of how to accurately and efficiently evaluate the quality of different types of images. Therefore, according to the image quality evaluation method provided by the embodiment of the invention, the fuzziness information of the image can be accurately obtained by analyzing the distribution condition of the pixels in the image, so that the fuzziness of the image can be accurately and quantitatively evaluated. The parameters related to the brightness in the image are acquired, comprehensive analysis is carried out according to the parameters to acquire the brightness evaluation indexvalue, so that the brightness evaluation index value is closer to the brightness value of the image obtained by using a manual evaluation mode, and the brightness information of the image under different brightness conditions can be quickly and accurately quantitatively evaluated.

The invention provides a method and a system for evaluating the sustainable development of a nature reserve. Based on the Net Primary Productivity (NPP) data of each type of land in the target naturereserve, the equilibrium factors and yield factors of each type of land are determined respectively, which fully reflects the differences among different types of land and overcomes the problem of parameter elasticity insufficiency in the existing ecological footprint method. At the same time, the per capita ecological footprint and per capita ecological carrying capacity of the target nature reserve are calculated based on the improved equilibrium factor and yield factor, according to the per capita ecological footprint and per capita ecological carrying capacity, the method and system can accurately and quantitatively evaluate the sustainable development status of the target nature reserves, help to determine whether the intensity of human activities in nature reserves exceeds the ecological carrying capacity, provide scientific basis for the management and decision-making of nature reserves, and provide guidance for promoting the construction of ecological civilization.

The invention discloses an ideal formation factor determination method, a hydrocarbon saturation determination method and a porosity effectiveness evaluation method. The ideal formation factor determination method includes: acquiring permeability K of a rock sample according to a rock physical experiment; acquiring an ideal formation factor F* according to a corresponding relation between the permeability K and the ideal formation factor F*. The ideal formation factor determination method, the hydrocarbon saturation determination method and the porosity effectiveness evaluation method have the advantages that under the condition of poor porosity-permeability relation, the ideal formation factor can be directly calculated according to the permeability, porosity effectiveness evaluation and hydrocarbon saturation determination are further realized on the basis of the ideal formation factor, and accordingly precision in recognition and quantitative evaluation of hydrocarbon reservoirs can be realized, and the foundation is laid for establishment of petrophysics based reservoir parameter evaluation standards in the future.

The invention relates to a calculation method for quantitatively evaluating the sealing performance of a non-API oil sleeve joint. The method comprises the following steps: firstly, combining a MonteCarlo random normal distribution sampling formula with sealing surface roughness; and carrying out simulation to obtain a contour curve of the sealing surface, obtaining simulation curve geometric common characteristics according to contour curve geometric morphology characteristic statistical data under different sample capacities and surface roughness, and establishing a metal-to-metal sealing microscopic leakage model; then deducing a gas leakage rate calculation formula containing the microscopic geometrical morphology characteristics of the sealing surface by combining the characteristicsof the leaked gas, and finally, according to the processing parameters of the main sealing structure of the non-API oil casing pipe joint, obtaining the total sealing pre-tightening pressure of the main sealing surface, and performing calculating to obtain the total gas leakage rate of the main sealing structure, thereby obtaining the non-API oil casing pipe joint sealing performance quantitativeevaluation and prediction method. The influence of sealing machining parameters of multiple oil casing pipe joints and the characteristic of leaked gas on the leakage rate is considered.

The invention provides a method for quantitatively evaluating content of asphalt in an ancient carbonate reservoir. The method comprises the steps that the reservoir of an objective interval is sampled; an acquired carbonate sample is ground into sheets; at least one vision field position is randomly selected for each carbonate sheet; images of the vision field positions are acquired; the acquired images of the vision field positions are analyzed; a distribution pattern of the asphalt in the acquired images of the vision field positions is defined; display of the asphalt is protruded; percentage content of the asphalt in the image of one vision field position is obtained; the percentage content of the asphalt in special depth is obtained according to the obtained percentage content of the asphalt in the image of the one vision field position and by combining randomly acquired pictures in the special depth; the percentage content of the asphalt is counted in a longitudinal direction and in a plane respectively; and a columnar distribution diagram and a plane distribution diagram of the asphalt are drawn. The method for quantitatively evaluating the content of the asphalt in the ancient carbonate reservoir can obtain the content of the asphalt in the ancient carbonate reservoir.

A zero point adjustment is performed by generating no signal state of a CCD camera. A state in which stray light does not enter the CCD camera is ensured by a calibration shutter. An output signal of the CCD camera is transmitted to a light amount calculator, and a calibrating section executes a calibration for the light amount calculator by using an output signal value as a reference (zero point). Further, light outputted from a laser light source is attenuated by an optical attenuator and is made to be incident on the CCD camera. By switching an attenuating amount of the optical attenuator, correctly set light is made to be incident on the CCD camera. The output signal of the CCD camera is transmitted to the light amount calculator, and the calibrating section executes the calibration such that values of the respective output signals correctly correspond to respective light amounts.

The invention provides a manual simulation method for impact damage of a composite material honeycomb sandwich structure. The method comprises the following steps: firstly, cutting a honeycomb core according to the size of a reference test block to be designed to form a honeycomb core prefabricated part; destabilizing the honeycomb core by utilizing a static pressure or low-speed impact mode to generate damage to simulate the honeycomb core damage caused by impact; and after an upper core collapse area of the honeycomb core is modified, curing the honeycomb core prefabricated part containing the core damage and upper and lower skins to form the reference test block. The manual simulation method for impact damage of the composite material honeycomb sandwich structure can truly simulate various damage modes caused by impact in the honeycomb sandwich structure, and the reference test block manufactured by the method is used as an equipment adjusting reference during detection of the honeycomb sandwich structure, so that compared with the reference test block prefabricated by the existing damage simulation method, the damage degree of the honeycomb sandwich structure caused by the impact can be evaluated more accurately and quantitatively, and the manual simulation method for impact damage of the composite material honeycomb sandwich structure is more beneficial to correct evaluation of the structural strength and formulation of a reasonable repair decision.

The invention provides a switchgear reliability evaluation method which comprises the following steps: (S1) pretreating and initializing the basic data and operation data generated by a switchgear respectively, and establishing corresponding vector comparison tables; (S2) establishing a tree structure of the basic data, and modeling by use of a recurrent neural network; (S3) establishing a time sequence structure of the operation data, and modeling by use of a circular neural network; (S4) establishing a loss function according to the models established in the step (S2) and step (S3), and performing model training; and (S5) in combination with the vector comparison tables, performing model-based reasoning to obtain final risk assessment. According to the invention, by combining the recurrent neural network and the circular neural network and introducing an attribute vector and an event vector, the problem of low-dimensional coding of nonnumeric data is solved; and in combination with the basic data and the operation data, the fusion of multi-source information can be realized so as to provide accurate quantitative evaluation and dynamic evaluation of the switchgear reliability.

The invention discloses a resistivity detector for quantitatively evaluating the change of soil porosity; at the upper half part of a probe of the detector, an insulated polyvinyl chloride (PVC) material (1) and a stainless steel circular electrode (2) form a resistance sensor; in the structure, the insulated PVC material (1) and the stainless steel circular electrode (2) are lined at the upper half part of the probe at intervals from top to down in sequence; the lower half part of the probe is provided with a side wall friction tube (3); a pore water pressure sensor (4) is arranged in the middle of the side wall friction tube (3); a conical probe (5) is connected below the side wall friction tube (3); and a pore pressure filter ring (6) is arranged between the side wall friction tube (3) and the conical probe (5). The detector has the characteristics of original position, quickness, accuracy, economy and the like, and a powerful detection tool is provided for the practice of the soil disturbance evaluation in a model test and the foundation treatment in civil engineering.

The invention discloses a fuzzy information-based evaluation method for the management level of scientific research and production of aerospace models, comprising: step 1, establishing an evaluation index set U of the management level of scientific research and production of aerospace models, and determining an evaluation index system for the management level of scientific research and production of aerospace models, And set the total assessment score P; step 2, determine the maturity level D and score coefficient ρ of the assessed unit under the assessment elements or sub-elements in the assessment index system, and evaluate the value of the assessed unit according to the maturity level and score coefficient The unit evaluates; step 3, adopts the improved fuzzy analytic hierarchy process to determine the relative weight of each module, element and sub-element, and assigns the score and importance percentage based on this; step 4, calculates the weight of each module through the weighted integration algorithm The sum of the element scores is used to obtain the evaluation results of the evaluation unit's scientific research and production management level of aerospace models. The invention realizes the accurate, objective and quantitative evaluation of the scientific research and production management level of aerospace models.

The invention belongs to the technical field of mining area restoration, and particularly relates to a mining area ecological protection restoration benefit evaluation method, which comprises the steps of S1, dividing various ecological types of a mining area into independent areas according to ecological type distribution in the mining area; s2, according to a preset water balance equation, the water conservation amount in each ecological type area is calculated, and the water conservation amount f of the mining area is obtained through summation; s3, according to a preset water and soil loss equation, the soil conservation amount f of the mining area is calculated; s4, according to a preset carbon fixation and oxygen release mechanism model, the fixed carbon dioxide amount f fixed carbon of the mining area is calculated; calculating the released oxygen amount f < oxygen release > according to f < carbon sequestration >; and S5, according to a preset restoration benefit algorithm, the ecological protection restoration benefit value F of the mining area is calculated according to f water conservation, f soil conservation, f carbon sequestration and f oxygen release. According to the method, the ecological protection and restoration benefits of the mining area can be accurately and quantitatively evaluated.

The invention relates to a test method for a dipping performance of glass fibers in resins. The glass fibers are raw materials prepared through an LFT technology. The test method comprises steps: firstly, the temperature is set to be 85-95 DEG C, and glass fibers are subjected to drying processing for 15-17h; secondly, the glass fibers are placed in an environment with a temperature of 18-27 DEG C and with a relative humidity of 40-60% and is cooled for 25-35mins; thirdly, 80.0-80.5g of the glass fibers processed in the first step and the second step are placed a stirrer and stirred in a temperature of 18-27 DEG C and with a relative humidity of 40-60%, the rotating speed is 1000-1400 r / min and the stirring time is 60s; fourthly, all the glass fibers after stirring are taken out and spread on a piece of white paper; fifthly, the glass fibers are taken out and weighed; sixthly, the third step to the fifth steps are repeated, and a plurality of weighing values are obtained; seventh, the plurality of weighing values are subjected to arithmetic average, and the mean value is employed to evaluate the dipping performance of the glass fibers in resins. The method can carry out quantification evaluation of a dipping performance of glass fibers effectively and accurately.

A slope ecological restoration monitoring method comprises the following steps: S1, slope image data acquisition: acquiring two-dimensional time sequence visible light image data of a slope through an image device; S2, preprocessing the image, primarily screening the image data, and classifying according to the purposes of slope full view overall analysis, slope vegetation detail analysis and slope three-dimensional model reconstruction; and S3, vegetation image data analysis: extracting vegetation horizontal structure parameters through vegetation index inversion of two-dimensional image data, and extracting vegetation vertical structure parameters by reconstructing the three-dimensional model of the two-dimensional image. According to the method, specific and real vegetation evaluation index values can be obtained by using image data, and long-term tracking monitoring is performed on the slope, so that the specific effect and degree of slope ecological restoration can be reflected comprehensively, objectively and quantitatively.

The invention discloses an interdigital capacitance-type sensor for detecting corrosion of Q235 carbon steel, and relates to the technical field of sensors. The interdigital capacitance-type sensor comprises an acrylic plate layer, a comb-like electrode layer, a hot melt adhesive cover, an acrylic adhesive layer, a positive wire hole, a negative wire hole, a positive single-core copper wire and anegative single-core copper wire, the comb-like electrode layer is arranged on the upper end face of the acrylic plate layer, the hot melt adhesive cover is arranged outside the comb-like electrode layer, and the acrylic plate layer and the comb-like electrode layer are connected through the acrylic adhesive layer; and the comb-like electrode layer comprise a positive comb-like electrode and a negative comb-like electrode, and the positive comb-like electrode and the negative comb-like electrode penetrate through each other to constitute a cross structure. By adopting the technical scheme, theinterdigital capacitance-type sensor has the beneficial effects that the advantages that the situation of early corrosion of the Q235 carbon steel in concrete can be detected, and durability is goodare achieved, and large-scale production and multi-point arrangement of large-scale reinforced concrete structures are facilitated.

The invention discloses a novel micro heat thermal method for evaluating thermal stability of a double-base propellant. The micro heat thermal method is characterized by comprising the following steps: carrying out thermal decomposition experiment on a double-base propellant by using a micro heat thermal meter in an isothermal mode, tracking and monitoring heat release quantities or change of thermal flows of the double-base propellant along with time and temperatures, illuminating the decomposition process of the double-base propellant, studying quantitative relationships of the decompositionprocess and decomposition characteristic parameters of heat release quantities, thermal flows, and the like, confirming a decomposition acceleration inflection point, providing critical threshold conditions that the thermal stability of the double-base propellant has sudden change, acquiring double-base propellants based on the heat release quantities, carrying out thermal decomposition kinetic parameter study on the double-base propellant, and establishing a time-temperature equivalent relationship under the thermal action of the double-base propellant. With the stability criterions, a novelmethod for quantitative evaluation on thermal stability of the double-base propellant is established, and the blank of methods for quantitative evaluation on thermal stability of the double-base propellant from the aspect of decomposition heat release can be made up.

The invention discloses an oil-gas exploration, development and analysis technology. A quantitative evaluation method for the microfractures of the tight clastic rock reservoir comprises the followingsteps that the microfractures are recognized, and true and effective microfractures are determined; the opening degree, the length and the density parameter of the microfractures are measured; the porosity and permeability of the underground microfractures are calculated through conversion of measurement parameters; and comprehensive quantitative evaluation is carried out on the microfractures byintegrating multiple parameter characteristics of microfracture development. According to the method, the microscopic fractures in the clastic rock reservoir can be accurately and quantitatively evaluated; therefore, the reservoir characteristics are described finely, the reservoir is evaluated accurately, the development efficiency of the compact clastic rock reservoir is improved, the development level of the microfractures of the compact clastic rock reservoir can be determined, quantitative evaluation of the microfractures of the compact clastic rock reservoir is effectively guided, and afoundation is laid for efficient development of the oil and gas reservoir.

The invention belongs to the field of continuous casting production in the iron and steel metallurgy industry, in particular to a method for predicting shrinkage cavity closure degree of continuous casting billet (including slab and rectangular billet) during reduction process. A 3-D finite element simulation model of continuous casting billet reduction process is established, Equivalent-effect strain at each position in that reduction process can be calculate and determined, and the shrinkage cavity closure degree prediction method based on the equivalent-effect strain proposed by the invention can realize high-efficiency and accurate prediction of the shrinkage cavity closure degree in the reduction process of the casting billet, thereby providing quantitative key data support for the development of the reduction process and related equipment. The calculated results of the preset degree of shrinkage cavity closure and the predict formula of the degree of shrinkage cavity closure arein good agreement with each other, and the accuracy and applicability of the predicting method of the degree of shrinkage cavity closure proposed by the invention are proved.