{"title":"基于灰色系统理论的阈值梯度多元预测模型研究","authors":"Chang-jun Zhu, Bin Wang","doi":"10.1109/CASE.2009.70","DOIUrl":null,"url":null,"abstract":"It is well known that there is threshold pressure gradient in low permeability porous media. The mathematic principle of GM(1,N) for threshold pressure gradient was firstly studied. Then the actual measurement data of threshold pressure gradient during the experiment were collected, and 11 reliable data were gained. By selecting 4 factors including viscosity, permeability, density and porosity as the grey modeling forecast indicators, the multivariable forecast model of GM(1,4) for threshold pressure gradient were respectively constructed. The result calculated by use of the model shows that the precision meets the requirements of engineering and the model can be used for predicting TPG. The application of this approach can supply basic data for the development of low permeability oilfield so as to save cost and labor.","PeriodicalId":294566,"journal":{"name":"2009 IITA International Conference on Control, Automation and Systems Engineering (case 2009)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Study on Multivariate Forecast Model of Threshold Gradient Based on Grey System Theory\",\"authors\":\"Chang-jun Zhu, Bin Wang\",\"doi\":\"10.1109/CASE.2009.70\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"It is well known that there is threshold pressure gradient in low permeability porous media. The mathematic principle of GM(1,N) for threshold pressure gradient was firstly studied. Then the actual measurement data of threshold pressure gradient during the experiment were collected, and 11 reliable data were gained. By selecting 4 factors including viscosity, permeability, density and porosity as the grey modeling forecast indicators, the multivariable forecast model of GM(1,4) for threshold pressure gradient were respectively constructed. The result calculated by use of the model shows that the precision meets the requirements of engineering and the model can be used for predicting TPG. The application of this approach can supply basic data for the development of low permeability oilfield so as to save cost and labor.\",\"PeriodicalId\":294566,\"journal\":{\"name\":\"2009 IITA International Conference on Control, Automation and Systems Engineering (case 2009)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-07-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 IITA International Conference on Control, Automation and Systems Engineering (case 2009)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CASE.2009.70\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 IITA International Conference on Control, Automation and Systems Engineering (case 2009)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CASE.2009.70","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Study on Multivariate Forecast Model of Threshold Gradient Based on Grey System Theory
It is well known that there is threshold pressure gradient in low permeability porous media. The mathematic principle of GM(1,N) for threshold pressure gradient was firstly studied. Then the actual measurement data of threshold pressure gradient during the experiment were collected, and 11 reliable data were gained. By selecting 4 factors including viscosity, permeability, density and porosity as the grey modeling forecast indicators, the multivariable forecast model of GM(1,4) for threshold pressure gradient were respectively constructed. The result calculated by use of the model shows that the precision meets the requirements of engineering and the model can be used for predicting TPG. The application of this approach can supply basic data for the development of low permeability oilfield so as to save cost and labor.