{"title":"气井生产动态系统","authors":"Zhi-bin Liu, Chao Min, Yan Yang","doi":"10.1109/WCSE.2009.123","DOIUrl":null,"url":null,"abstract":"Dynamic simulation for the producting process of gas well is the foundation of optimizing allocation. We designed DSOAS to do this job which is able to calculate the basic parameters and predict the output of gas well and pools. Several new methods are used in this system to simulate the gas well production such as differential simulation and neural networks. Finally, the optimal allocation of single gas well is achieved with the accuracy above 80%.","PeriodicalId":331155,"journal":{"name":"2009 WRI World Congress on Software Engineering","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Dynamic System for Gas Well Production\",\"authors\":\"Zhi-bin Liu, Chao Min, Yan Yang\",\"doi\":\"10.1109/WCSE.2009.123\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Dynamic simulation for the producting process of gas well is the foundation of optimizing allocation. We designed DSOAS to do this job which is able to calculate the basic parameters and predict the output of gas well and pools. Several new methods are used in this system to simulate the gas well production such as differential simulation and neural networks. Finally, the optimal allocation of single gas well is achieved with the accuracy above 80%.\",\"PeriodicalId\":331155,\"journal\":{\"name\":\"2009 WRI World Congress on Software Engineering\",\"volume\":\"45 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-05-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 WRI World Congress on Software Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WCSE.2009.123\",\"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 WRI World Congress on Software Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WCSE.2009.123","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Dynamic simulation for the producting process of gas well is the foundation of optimizing allocation. We designed DSOAS to do this job which is able to calculate the basic parameters and predict the output of gas well and pools. Several new methods are used in this system to simulate the gas well production such as differential simulation and neural networks. Finally, the optimal allocation of single gas well is achieved with the accuracy above 80%.
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