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38 results about "Gray relational analysis" patented technology
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Method for determining stability of power mode based on gray relational analysis
InactiveCN106447534AContribute to automatic intelligent judgmentRefine the responsible departmentData processing applicationsInformatizationElectric consumption
The invention relates to a method for determining the stability of a power mode based on gray relational analysis and belongs to the field of power supply and distribution management. Based on a two-stage decision algorithm of mode recognition, the method defines a power mode time sequence by a 12-month coefficient for users with no historical electricity stealing records and having meter data more than two years, determines the power mode stability by a gray relational analysis method, predicts a reasonable range of current electricity consumption with reference to a historical power model so as to determine whether the user's current electricity consumption is abnormal. The reasonable range can improve the accuracy of the abnormal judgment without an increase in the workload of manual review, and can narrow the scope of the review, improve the efficiency of the review and the reliability of the meter data, promotes rapid improvement in the quality of a meter reading system by finding a weak link, promotes the development and operation of corresponding computer analysis software and, improve the automation and informatization level of service related to meter reading, can be widely used in the field of centralized meter reading management system design, operation and management.
Owner:SHANGHAI MUNICIPAL ELECTRIC POWER CO
Transformer substation energy efficiency assessment method based on AHP
InactiveCN105225033AHigh accuracy of data evaluationEffective evaluationTechnology managementResourcesTransformerGray relational analysis
The present invention discloses a transformer substation energy efficiency assessment method based on an AHP (analytic hierarchy process). The method comprises: acquiring n index values for m to-be-assessed transformer substations; establishing an original index data matrix based on a gray relational analysis method, and carrying out standardized processing to generate a to-be-assessed index data matrix; establishing an index hierarchical structure, determining a relative weight,relative to a top level index, of each energy efficiency assessment index of a bottom layer of the index hierarchical structure to acquire a relative weight matrix; as for the to-be-assessed index data matrix, separately calculating an index value of each energy efficiency assessment index of each to-be-assessed transformer substation after the standardized processing, and a correlation coefficient between reference values of corresponding energy efficiency indexes in a reference line, thereby acquiring a correlation coefficient matrix; and calculating an integrated assessment result matrix of m to-be-assessed transformer substations. According to the method disclosed by the present invention, a reasonable degree of energy efficiency of the transformer substations can be analyzed, a power saving magnitude before and after reconstruction of the transformer substations can also be analyzed and assessed, so that the method has the advantages of high data assessment accuracy, and high-speed and efficient assessment.
Owner:STATE GRID CORP OF CHINA +3
Displacement experiment artificial core analysis preparing method based on experimental and mathematical algorithms
ActiveCN107742031AImprove error precisionReasonableness of judgmentDesign optimisation/simulationSpecial data processing applicationsStatistical analysisMathematical model
The invention discloses a displacement experiment artificial core analysis preparing method based on experimental and mathematical algorithms, and the method combines qualitation with quantitation. The method comprises the steps that physical parameters of an artificial core are used as target parameters for preparation of the artificial core; influencing factors of the physical parameters of theartificial core are determined; multiple sets of combined experiment schemes are made, and the artificial core is prepared according to all the combined experiment schemes, and the physical parametersof the artificial core are measured after preparation is completed; preparation condition parameters of all the combined experiment schemes are used as basis, and based on a gray correlation analysismethod, relevancy degrees of all the influencing factors and all the target parameters are determined; according to the relevancy degree rank of all the influencing factors and the target parameters,larger influencing factors and smaller influencing factors are determined; based on a statistic analysis result of the gray correlation analysis method and a BP neural network theory, a particle sizeratio prediction mathematical model is built; a matching prediction result is calculated through the particle size ratio prediction mathematical model and serves as a reference which provides data support for artificial core manufacturing.
Owner:CHONGQING UNIVERSITY OF SCIENCE AND TECHNOLOGY
Method for analyzing main influence factor of power grid equipment utilization rate
The invention discloses a method for analyzing main influence factors of a power grid equipment utilization rate. The method comprises the following steps: acquiring related data, namely confirming atarget to be subjected to correlation analysis, and acquiring related data demanded by calculation; performing data cleaning, namely deleting repeated data, correcting wrong data, and synchronizing data cycles; analyzing correlation of an equipment utilization rate with an influence factor by using a gray relational analysis grade method, and confirming the influence of the related influence factor to an equipment layer equipment utilization rate; confirming the influence of a related influence factor to a power grid equipment utilization rate. Through analysis on power distribution grid equipment utilization data, hidden valuable information related to the utilization rate under utilization rate data distribution is explored by using a correlation analysis method, main factors influencingpower distribution grid equipment utilization rates are searched, certain improvement ways and ideas are provided to improve equipment utilization efficiency, and the system utilization rate can be maintained at a reasonable level.
Owner:STATE GRID ENERGY RES INST +3
Important-contribution-degree-based safety evaluation index system constructing method for small and medium-sized reservoir dams
The invention discloses a method for constructing a small and medium-sized reservoir dam safety evaluation index system based on the important contribution degree, which includes the following steps: analyzing and researching the main influencing factors of the small and medium-sized reservoir dam safety through data analysis, field investigation, expert consultation and other methods , cause and degree of influence, using the Delphi method to conduct expert questionnaire surveys, calculating the importance of indicators, and initially selecting evaluation indicators; using the gray correlation analysis method to quantitatively calculate the contribution rate of the evaluation indicators to the evaluation results; assigning the importance and contribution rate combination In order to evaluate the important contribution of indicators; determine the index screening criteria and threshold; according to the screening criteria, retain the top k indicators with a large cumulative important contribution, and eliminate the smallest important contribution indicators, and construct a small and medium-sized reservoir dam safety evaluation index system. It avoids the subjectivity of artificial index selection and the rigidity of data analysis, making the dam safety evaluation index system more scientific, refined, and pertinent.
Owner:CHINA THREE GORGES UNIV
Loss reduction measure making method based on synchronous line loss abnormity identification
PendingCN110942084ASolve unreasonable phenomenaCharacter and pattern recognitionResourcesSingular value decompositionStatistical analysis
The invention discloses a loss reduction measure making method based on synchronous line loss abnormity identification, which comprises the following steps: identifying synchronous line loss anomaly data, and taking corresponding loss reduction measures according to an identification result; extracting the fluctuation characteristics of the same-period line loss abnormal data through statistical analysis; constructing a same-period line loss electric quantity matrix, and performing singular value decomposition on the matrix to extract low-rank features of same-period line loss abnormal data; performing gray correlation analysis on the same-period line loss allocation data, and extracting homodromous correlation characteristics of the same-period allocation line loss abnormal data; and obtaining the characteristic that the rank sum of the abnormal data of the same-period line loss deviates from the normal data is approximately equal by analyzing the difference between the theoreticallycalculated line loss and the same-period line loss. According to the method, the characteristics of the same-period line loss abnormal data can be effectively extracted, the corresponding neural network is constructed for training, the same-period line loss abnormal data can be effectively identified, corresponding loss reduction measures can be taken according to different identification results,and the loss reduction efficiency can be effectively improved.
Owner:NORTH CHINA ELECTRIC POWER UNIV (BAODING) +4
Firearm design scheme evaluation method based on fuzzy decision diagram and gray correlation analysis
InactiveCN105117559ARealize complementary advantagesIncrease credibilityInference methodsSpecial data processing applicationsFuzzy decisionAlgorithm
The invention relates to a firearm design scheme evaluation method based on a fuzzy decision diagram and a gray correlation analysis. The method comprises the steps that 1, an evaluation index system of a firearm design scheme is created; 2, global weights of evaluation indexes are calculated based on the fuzzy decision diagram; 3, by means of the global weights, gray relational degrees of alternative schemes are calculated, and evaluation on the firearm design scheme is achieved according to the gray relational degrees. According to the method, the global weights of the evaluation indexes are obtained through the fuzzy decision diagram; the gray relational analysis serves as an evaluation subject method, the defects that the fuzzy decision diagram does not provide the scheme evaluation subject method, and the gray relational analysis can not evaluate the mutual effect among the evaluation indexes are overcome, advantage complementation between the fuzzy decision diagram and the gray relational analysis is achieved, and therefore a set of complete firearm design scheme evaluation method which can evaluate evaluation index comprehensive influence relationships is formed.
Owner:BEIJING INSTITUTE OF TECHNOLOGYGY
Soil suitability evaluation method and device
The invention provides a soil suitability evaluation method and device and belongs to the soil assessment technical field. The soil suitability evaluation method comprises the following steps that: any one method is selected from a fuzzy mathematic method, a gray relational analysis method and an comprehensive index evaluation method as a first soil evaluation method; 2, any one method is selectedfrom the fuzzy mathematic method, the gray relational analysis method and the comprehensive index evaluation method as a second soil evaluation method; the soil fertility parameters of soil to be evaluated are calculated according to the selected first soil evaluation method, and with the obtained soil fertility parameters adopted as suitability evaluation factors, the second soil evaluation method is adopted to perform soil suitability evaluation to obtain a soil suitability coefficient; and a soil suitability evaluation level corresponding to the soil suitability coefficient is searched. With the above process adopted, the suitability evaluation of the quality of the soil is realized. The method and device are objective and scientific.
Owner:QINGHAI UNIVERSITY
Direct dispersion separation modeling prediction control method under multiple weather types based on GRA-LMBP weights
InactiveCN110133755AReduce the probability of extreme errorsSolve instabilityWeather condition predictionDesign optimisation/simulationSupport vector machinePrincipal component analysis
The invention relates to a direct dispersion separation modeling prediction control method under multiple weather types based on GRA-LMBP weights. Firstly, performing statistics and collection on meteorological radiation data of many years in Beijing area, selecting typical meteorological years according to a normal fitting method and using a revised definition index to classify the weather types;secondly, using support vector machine (SVM), gray relational analysis (GRA) based support vector machine GRA-SVM and principal component analysis (PCA) based support vector machine (PCA-SVM) prediction models to obtain prediction results of three single models under each weather type; then using the gray relational analysis to obtain the weight coefficient of each model under each weather type;then fitting an LMBP neural network prediction model according to each single model prediction result and prediction weight coefficient under each weather type; and finally, using the weight coefficients obtained by the LMBP model to calculate the combined prediction model prediction results of each weather type. Compared with the prior art, the direct dispersion separation modeling prediction control method under multiple weather types based on the GRA-LMBP weights has the advantages of high precision, good calculation stability and the like.
Owner:SHANGHAI UNIVERSITY OF ELECTRIC POWER
Processing method for test data of injection well casing damage
ActiveCN110186840AHigh engineering application valueSolve the problem that quantitative comparison cannot be carried outWeather/light/corrosion resistanceRelevant informationGray relational analysis
The invention discloses a processing method for test data of injection well casing damage, and solves the problem that different conditions about injection well casing damage of different periods in the block cannot be quantized and compared. The method comprises the following steps of firstly normalizing the data of casing damage describing corrosion main bodies of the respective wells, assigningdifferent weights for the percentage of casing in different degrees of corrosion according to the result of normalizing processing, modifying based on the number of pipe segments of non-perforation section perforation, and calculating weighted sum values of the casing damage degrees of corrosion of the respective injection wells; calculating a relative grey relational degree between the weightedsum values of the casing damage degrees of corrosion of the injection wells and the collected productive factors influencing corrosion of the injection wells and the corrosive environmental factors byusing a gray relational analysis grade method, and determining the rank of significant influencing factors and extent of the influence; finally clearly studying the corrosion mechanism of casing damage in the block, and making full use of the relevant information contained in the test data of casing damage of the injection wells, thereby extending the engineering application value of test projects of casing damage of injection wells.
Owner:西安旭晟环保科技有限公司
Method and system for predicting grape downy mildew
InactiveCN111066562AImprove forecast accuracyAccurate predictionKernel methodsForecastingBiotechnologyOptimality model
The embodiment of the invention provides a method and a system for predicting grape downy mildew. The method comprises the following steps of: obtaining data from onset samples of a set of grape samples infected with downy mildew; processing the data from the onset samples to obtain a relational prediction factor based on the grey relational analysis method; inputting the relational prediction factor used as the feature vector of the SVM model, and obtaining the optimal model parameters based on the PSO algorithm to construct a grape downy mildew prediction model; obtaining prediction resultsof grape downy mildew by analyzing grapes infected with downy mildew by using the grape downy mildew prediction model. The prediction method and system provided by the embodiment of the present invention screen out the prediction factors that can better reflect the change trend of grape downy mildew through the grey relational analysis method, and combine the particle swarm optimization algorithmto optimize the model parameters of the support vector machine to establish the grape downy mildew prediction model. The model can quickly and accurately predict the disease grade of grape downy mildew in the short term, can effectively improve prediction accuracy of grape downy mildew, and can provide a basis for disease prevention.
Owner:BEIJING RES CENT FOR INFORMATION TECH & AGRI
Selection method of base asphalt for rubber asphalt based on grey relational analysis
ActiveUS20220187273A1Easy to operateEasy to implementMaterial testing goodsProcess engineeringGray relational analysis
The present disclosure provides a selection method of base asphalt for rubber asphalt based on grey relational analysis, which belongs to the technical field of selection methods of base asphalt. The selection method includes the following steps: determining factors affecting the performance of rubber asphalt and rubber asphalt performance evaluation indicators; ranking the factors affecting the performance of rubber asphalt according to respective affecting degrees thereof on each of the rubber asphalt performance evaluation indicators by using a grey relational method; and determining affecting factors of chemical components of base asphalt to the performance of rubber asphalt, and selecting base asphalt according to the affecting factors. The present disclosure uses the grey relational analysis method to systematically study the influences of chemical components of base asphalt on the performance of rubber asphalt.
Owner:GUANGXI TRANSPORTATION SCI & TECH GRP CO LTD +1
Mechanical failure state monitoring system based on gray relational analysis and method thereof
InactiveCN107169678AImprove accuracyImprove reliabilityResourcesComplex mathematical operationsData acquisitionMonitoring system
The invention discloses a mechanical failure state monitoring method based on gray relational analysis and a method thereof. The system comprises the components of a data acquisition module which is used for acquiring state data of a machine; a data processing module which is used for performing preprocessing on the acquired state data and processes the state data to a vector; a data analyzing module which analyzes the acquired vector through a gray relational analysis method and determines a mechanical fault state; and a result display module which displays a result that is analyzed by the data analyzing module. Compared with the prior art, the mechanical failure state monitoring system based on gray relational analysis and the method thereof have advantages of settling problems such as non-unique correlation value caused by resolution coefficient influence in a traditional method, using the gray relational analysis method as a mechanical fault state monitoring method, effectively improving accuracy and reliability of the mechanical failure state monitoring result, and realizing high practicability, wide application range and easy popularization.
Owner:ZHENGZHOU YUNHAI INFORMATION TECH CO LTD
A coal blending cost optimization method, equipment and storage equipment
ActiveCN108830398BImprove accuracyImprove stabilityForecastingCharacter and pattern recognitionProcess engineeringGray relational analysis
The present invention provides a coal blending cost optimization method, equipment and storage equipment. A coke quality prediction model is established by using gray relational analysis method and SVM, and conventional ERP data, experimental data and lithofacies data are registered by using a dynamic time series matching method, and finally Establish a coal blending cost optimization model, and use the method of elite learning chaotic particle swarm to solve the method of optimizing coal blending cost and the optimal coal blending plan, so as to reduce the cost of coal blending and make full use of coal blending materials; a Coal blending cost optimization equipment and storage equipment are used to realize a coal blending cost optimization method. The beneficial effects of the present invention are: the technical proposal provided by the present invention can improve the accuracy, stability and calculation precision of the coal blending cost optimization method, ensure that the coke quality meets the requirements of the enterprise, and at the same time reduce the coal blending cost to the greatest extent.
Owner:CHINA UNIV OF GEOSCIENCES (WUHAN)
Vertical Handoff Method for Cognitive Heterogeneous Wireless Networks
ActiveCN112839366BReduce switching rateIncrease profitWireless communicationQuality of serviceEngineering
The present invention claims to protect a vertical handover method for cognitive heterogeneous wireless networks. In cognitive heterogeneous wireless networks, cognitive radio networks use spectrum opportunistically, which makes the problem of frequent handover more prominent. Aiming at this problem, this paper proposes a network selection algorithm based on grey relational analysis and bipartite maximum matching. On the user side, the grey relational analysis method is used to rank cognitive heterogeneous wireless networks; on the network side, the maximum matching algorithm of bipartite graph is used to achieve the optimal matching between users and the network. Simulation results show that the algorithm can effectively control frequent handovers, improve network throughput and user service quality, and achieve load balancing.
Owner:CHONGQING UNIV OF POSTS & TELECOMM
An integrated learning method and system for interval forecasting of battery replacement demand for electric vehicles in different time periods
ActiveCN112949948BReduced interval widthPracticalInternal combustion piston enginesForecastingData setElectric-vehicle battery
Owner:BEIJING INSTITUTE OF TECHNOLOGYGY
Determination method of optimal surface layer thickness combination of asphalt pavement based on gray relational analysis method
ActiveCN108197403BSolve problems where it is difficult to choose the optimal structure fromReduce reflective cracksIn situ pavingsSpecial data processing applicationsElement analysisStructural engineering
The invention discloses a method for designing the optimal surface layer thickness combination of asphalt pavement based on the gray correlation analysis method. Different combinations; secondly, the finite element analysis of the asphalt pavement surface layer is carried out, based on ABAQUS modeling, the maximum shear stress, the maximum tensile strain at the bottom of the asphalt pavement layer, and the maximum inorganic binder The tensile stress at the bottom of each layer and the maximum vertical compressive strain at the top of the subgrade; finally, the gray correlation analysis method is used to comprehensively analyze and compare various control indicators. The optimal surface layer thickness combination of the inorganic binder stabilized base asphalt pavement is obtained by sorting the combination structures; it solves the problem that the control index changes of various pavement structures are complicated and difficult to select the optimal structure.
Owner:YANGZHOU UNIV
Prediction method of seam penetration of underwater wet welding based on grey relational analysis
ActiveCN112247405BSimple welding processSave manpower and material resourcesWelding/cutting auxillary devicesAuxillary welding devicesEngineeringWeld seam
Owner:HOHAI UNIV CHANGZHOU
A Method for Obtaining the Weights of Geological Target Evaluation Parameters
ActiveCN112330118BEffective evaluationOvercoming direct interventionResourcesComplex mathematical operationsData miningGray relational analysis
Owner:SOUTHWEST PETROLEUM UNIV
Pipeline integrity evaluation method and device and electronic equipment
PendingCN114444368AImprove accuracyAvoid distortionDesign optimisation/simulationData setData information
The invention provides a pipeline integrity evaluation method and device and electronic equipment. The method comprises the steps that an analytic hierarchy process is adopted, and the initial weight of each evaluation index in an evaluation index system is determined; based on the data set of each evaluation index of each pipeline, a gray correlation analysis method is adopted to determine a coupling relationship among the evaluation indexes, and the initial weight is corrected according to the coupling relationship among the evaluation indexes to obtain a comprehensive weight of each evaluation index; and evaluating the integrity of the pipeline based on the comprehensive weight. According to the embodiment of the invention, the initial weight of each evaluation index in the evaluation index system is determined and the initial weight is corrected according to the coupling relationship among the evaluation indexes to obtain the comprehensive weight of the integrity evaluation index, so that the subjective randomness caused by purely using a subjective weighting method is avoided; and data information distortion possibly caused by purely using an objective weighting method is avoided, and accurate judgment and evaluation of the integrity state of the pipeline are realized.
Owner:CHINA PETROLEUM & CHEM CORP +1
Fast Image Matching Method Based on Whale Optimization Algorithm and Gray Relational Analysis
ActiveCN108010069BImprove efficiencySimple Algorithm FrameworkImage analysisCharacter and pattern recognitionAlgorithmImage matching
Owner:HUBEI UNIV OF TECH
Symbolic multi-quality characteristic analysis method based on relative entropy and gray relational degree
InactiveCN105653871BAchieve the correct descriptionVerify feasibilitySpecial data processing applicationsInformaticsGrey correlation analysisEqual probability
The invention discloses a symbolic multi-quality characteristic analysis method based on relative entropy and gray correlation degree. Starting from the system function structure, failure mode and influencing factors, the system quality characteristic is extracted, the multi-quality characteristic research system is determined, and the quality of each system is collected. Characteristic data sequence. The equal probability symbolization method is used to symbolize the data sequences of each quality characteristic of the system to obtain the corresponding symbolic sequence space; the probability distribution characteristics of each quality characteristic sequence are studied, and the statistical histogram of the symbol sequence frequency is obtained. Considering the problems of correlation and uncertainty among the various quality characteristics of the system in actual engineering, using the symbolic dynamics relative entropy and gray correlation analysis methods, the quality characteristics of the symbolic sequences are analyzed from the perspectives of difference and similarity, respectively. Quantitative characterization of the coupling correlation; finally realized the expression of the serial correlation and uncertainty of the original quality characteristic data.
Owner:UNIV OF ELECTRONICS SCI & TECH OF CHINA
A hazard prediction method for sugarcane transport vehicles based on bp neural network
ActiveCN110288726BCorrect early warningShorten the timeRegistering/indicating working of vehiclesVehicle fittings for liftingState predictionEngineering
The invention discloses a risk prediction method for a sugarcane transfer vehicle based on BP neural network, which belongs to the field of agricultural mechanization and intelligence. The method includes collecting inclination angle and stress data and the waveform of the stability parameter of the transfer vehicle; data processing and waveform processing and Feature extraction; use the gray correlation analysis method to select the first few values that represent the highest risk correlation degree of the transfer vehicle; use the data with a high correlation degree as the model input; optimize the BP neural network modeling based on the genetic algorithm and predict the state of the sugarcane transfer vehicle , to get the current state of the transfer vehicle; adjust the four auxiliary support feet of the transfer vehicle according to the data of the three-axis angle sensor. Under the premise of ensuring that the dangerous situation of the transfer vehicle can be correctly predicted, the gray correlation analysis method is used to select the most relevant monitoring points for the status of the transfer vehicle for monitoring, and the data is transferred to the BP neural network optimized by the genetic algorithm, which is better than only using the BP neural network. Time is saved and the accuracy of forecasts is improved.
Owner:GUANGXI UNIV FOR NATITIES +1
Evaluation method of dynamic matching degree between water transportation and land transportation for cascade reservoir group
ActiveCN108564327BDynamically adjust transportation capacityTight integration with integrated schedulingResourcesLogisticsTransportation capacityLand transport
Owner:钟徳钰 +4
A method and system for cascading cross-section disassembly optimization based on gray relational analysis method
Owner:BEIJING KEDONG ELECTRIC POWER CONTROL SYST +2
Tourism performance service value evaluation method
PendingCN113298366AAssess intelligence and precisionEnrich service value evaluation methodsSemantic analysisCharacter and pattern recognitionWord listNetwork model
The invention belongs to the technical field of tourism performance value evaluation, and relates to a tourism performance service value evaluation method, which comprises the steps of 1, obtaining influence factor indexes of tourism performance service values; 2, obtaining comment data and a comprehensive score; 3, obtaining a travel performance service value feature word list; 4, extracting feature sentences; 5, training an LSTM model; acquiring an emotion value; 6, calculating a gray correlation degree; 7, determining a topological structure of a gray neural network model; 8, training the gray neural network model; 9, obtaining the evaluation value of specific tourism performance play services. According to the invention, cultural elements are added to the evaluation of the tourism performance service value. An LSTM-based fine-grained sentiment analysis and gray neural network model is provided, so that the tourism performance service value evaluation method is enriched, and the evaluation is more intelligent and accurate. An index system is determined through gray correlation analysis, subjective and objective combination is achieved, and the method is more scientific.
Owner:BEIJING INFORMATION SCI & TECH UNIV
Identification method of dynamic cutting force change characteristics of high-efficiency milling cutter
ActiveCN112405113BExplain the mapping relationshipReveal dynamic propertiesMeasurement/indication equipmentsMilling cutterStructural engineering
Owner:HARBIN UNIV OF SCI & TECH
A method of tool holder optimization based on ahp-gray relational analysis algorithm
ActiveCN110276400BEfficient analysisWill not affect the efficiency of matchingForecastingCharacter and pattern recognitionAlgorithmTheoretical computer science
The invention discloses a tool holder optimization method based on the AHP-gray relational analysis algorithm; firstly, the candidate tool holder set T={H B F} that meets the processing task is obtained, and the tool set H, tool bar The set B and the fixture set F are optimized to obtain the tool optimization set h * ={h 1 h 2 … h i … h l}, tool bar optimization set b * ={b 1 b 2 …b i …b m} with the fixture optimization set f * ={f 1 f 2 … f i … f k}; use AHP‑gray relational analysis algorithm to construct tool optimization set h respectively * , tool bar optimization set b * with fixture optimization set f * The correlation matrix; according to the sum of the correlation between the tool and the matching tool holder, the optimal matching combination of the tool and the tool holder is solved; the optimal matching combination of the tool and the tool holder and the fixture optimization set f * The fixture corresponding to the maximum correlation degree in the correlation degree matrix constitutes the optimal tool holder set, so as to obtain the optimal tool holder scheme. The invention can carry out multi-objective decision-making from the set of tool holder types meeting the processing task requirements, so as to comprehensively optimize the optimal tool holder matching scheme suitable for the processing task.
Owner:CHONGQING UNIV
A Method for Predicting Initial Productivity of Horizontal Well Volume Fracturing in Tight Oil Reservoirs
ActiveCN108446797BImprove accuracyAvoid unscientificForecastingResourcesThermodynamicsHorizontal wells
The invention discloses a method for predicting compact oil reservoir horizontal well volume fracturing initial productivity, and the method comprises the following steps: 1) establishing a database comprising a sample set, a productivity-affecting subfactor set, and a evaluation index main factor set; 2) establishing a multilevel productivity-affecting factor evaluation system according to the database; 3) utilizing a gray correlation analysis method to calculate weight coefficients of the productivity-affecting subfactors in the multilevel evaluation system, ranking the weight coefficients,and determining productivity-affecting main control factors; 4) utilizing a normal distribution membership function to calculate the membership degree of the productivity-affecting sub-factor of eachfracturing well in sequence, performing blurring operation on the weight coefficients and membership degrees of the productivity-affecting subfactors, quantifying a comprehensive score of a fracturingeffect of each well, dividing intervals for the comprehensive scores, and according to the interval of the comprehensive score of a predicted well, predicting the horizontal well volume fracturing initial productivity. The method provided by the invention improves the accuracy of horizontal well volume fracturing initial productivity prediction, and has an important guiding effect for optimizingfracturing scheme design.
Owner:SOUTHWEST PETROLEUM UNIV
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