{"title":"基于模糊综合评价模型的蒸汽增产效果预测","authors":"Hai-jing Wang, S. Xue","doi":"10.1109/SPAWDA.2008.4775863","DOIUrl":null,"url":null,"abstract":"Aiming at the problem of neglecting fuzzy factors in traditional prediction of effect of steam stimulation, using a fuzzy comprehensive evaluation method, we propose a secondary fuzzy comprehensive evaluation model to analyze the effect of many uncertain factors on steam stimulation. First, according to the influencing factors of steam stimulation, the factor set and evaluation set are established; then the membership degree of the qualitative index and quantitative index to assessment grades is decided, and the single factor fuzzy relation matrix is established; Moreover, based on the influence degree of each factor on steam stimulation, the weighting set is also given. Finally, the secondary fuzzy compressive evaluation is conducted. Based on the secondary fuzzy comprehensive evaluation model, the steam stimulation effect for a well is predicted. And it is found that the predicted results are consistent to the observed data.","PeriodicalId":190941,"journal":{"name":"2008 Symposium on Piezoelectricity, Acoustic Waves, and Device Applications","volume":"6 6","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Prediction of effect of steam stimulation based on a fuzzy comprehensive evaluation model\",\"authors\":\"Hai-jing Wang, S. Xue\",\"doi\":\"10.1109/SPAWDA.2008.4775863\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Aiming at the problem of neglecting fuzzy factors in traditional prediction of effect of steam stimulation, using a fuzzy comprehensive evaluation method, we propose a secondary fuzzy comprehensive evaluation model to analyze the effect of many uncertain factors on steam stimulation. First, according to the influencing factors of steam stimulation, the factor set and evaluation set are established; then the membership degree of the qualitative index and quantitative index to assessment grades is decided, and the single factor fuzzy relation matrix is established; Moreover, based on the influence degree of each factor on steam stimulation, the weighting set is also given. Finally, the secondary fuzzy compressive evaluation is conducted. Based on the secondary fuzzy comprehensive evaluation model, the steam stimulation effect for a well is predicted. And it is found that the predicted results are consistent to the observed data.\",\"PeriodicalId\":190941,\"journal\":{\"name\":\"2008 Symposium on Piezoelectricity, Acoustic Waves, and Device Applications\",\"volume\":\"6 6\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 Symposium on Piezoelectricity, Acoustic Waves, and Device Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SPAWDA.2008.4775863\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 Symposium on Piezoelectricity, Acoustic Waves, and Device Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SPAWDA.2008.4775863","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Prediction of effect of steam stimulation based on a fuzzy comprehensive evaluation model
Aiming at the problem of neglecting fuzzy factors in traditional prediction of effect of steam stimulation, using a fuzzy comprehensive evaluation method, we propose a secondary fuzzy comprehensive evaluation model to analyze the effect of many uncertain factors on steam stimulation. First, according to the influencing factors of steam stimulation, the factor set and evaluation set are established; then the membership degree of the qualitative index and quantitative index to assessment grades is decided, and the single factor fuzzy relation matrix is established; Moreover, based on the influence degree of each factor on steam stimulation, the weighting set is also given. Finally, the secondary fuzzy compressive evaluation is conducted. Based on the secondary fuzzy comprehensive evaluation model, the steam stimulation effect for a well is predicted. And it is found that the predicted results are consistent to the observed data.