{"title":"A Multi-agent System for Integrated Control and Asset Management of Petroleum Production Facilities - Part 1: Prototype Design and Development","authors":"Atalla F. Sayda, James H. Taylor","doi":"10.1109/ISIC.2008.4635950","DOIUrl":null,"url":null,"abstract":"This three-part paper thoroughly addresses the design and development of multi-agent system for asset management for the petroleum industry, which is crucial for profitable oil and gas facilities operations and maintenance. A research project was initiated to study the feasibility of an intelligent asset management system. Having proposed a conceptual model, architecture, and implementation plan for such a system in previous work [1], [2], [3], defined its autonomy, communications, and artificial intelligence (AI) requirements [4], [5], and initiated the preliminary design of a simple system prototype [6], we are extending the build of a system prototype and simulate it in real-time to validate its logical behavior in normal and abnormal process situations and analyze its performance.","PeriodicalId":342070,"journal":{"name":"2008 IEEE International Symposium on Intelligent Control","volume":"64 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 IEEE International Symposium on Intelligent Control","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISIC.2008.4635950","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9
Abstract
This three-part paper thoroughly addresses the design and development of multi-agent system for asset management for the petroleum industry, which is crucial for profitable oil and gas facilities operations and maintenance. A research project was initiated to study the feasibility of an intelligent asset management system. Having proposed a conceptual model, architecture, and implementation plan for such a system in previous work [1], [2], [3], defined its autonomy, communications, and artificial intelligence (AI) requirements [4], [5], and initiated the preliminary design of a simple system prototype [6], we are extending the build of a system prototype and simulate it in real-time to validate its logical behavior in normal and abnormal process situations and analyze its performance.