Mustafa Vatankhah, Kanan Talibli Mustafa Vatankhah, Kanan Talibli
{"title":"INTELLECTUAL TECHNOLOGIES IN THE MANAGEMENT OF OIL FIELDS","authors":"Mustafa Vatankhah, Kanan Talibli Mustafa Vatankhah, Kanan Talibli","doi":"10.36962/piretc23022023-108","DOIUrl":null,"url":null,"abstract":"The goal of this effort is to create new strategies and enhance the control over oil-producing wells and an oilfield using artificial intelligence techniques. The advancement of knowledge necessitates the implementation of intelligent technologies with the objective of creating a unified scientific and technological oilfield space. Methods for optimizing operation modes for complex technological systems; expert knowledge-based decision-support systems; unified requirements for intelligent system interfaces and modules, as well as means to represent and store knowledge, including distributed knowledge base architectures; and mathematical and software support are among these.\nAdvanced intelligent technologies and tools built on them may be used to modify goal-attainment procedures. The key characteristics of the applicable artificial intelligence tools that are necessary for implementation at all levels are detailed, along with a suggested three-tiered system of intelligent oil field control that assures optimization of oil output and the operation of equipment. The idea and the suggestions provided in the study can serve as a springboard for more investigation and the construction of actual intelligent wells and intelligent oilfields.\nKeywords: intelligent oilfield, oil, production, artificial intelligence","PeriodicalId":107886,"journal":{"name":"PIRETC-Proceeding of The International Research Education & Training Centre","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"PIRETC-Proceeding of The International Research Education & Training Centre","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.36962/piretc23022023-108","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The goal of this effort is to create new strategies and enhance the control over oil-producing wells and an oilfield using artificial intelligence techniques. The advancement of knowledge necessitates the implementation of intelligent technologies with the objective of creating a unified scientific and technological oilfield space. Methods for optimizing operation modes for complex technological systems; expert knowledge-based decision-support systems; unified requirements for intelligent system interfaces and modules, as well as means to represent and store knowledge, including distributed knowledge base architectures; and mathematical and software support are among these.
Advanced intelligent technologies and tools built on them may be used to modify goal-attainment procedures. The key characteristics of the applicable artificial intelligence tools that are necessary for implementation at all levels are detailed, along with a suggested three-tiered system of intelligent oil field control that assures optimization of oil output and the operation of equipment. The idea and the suggestions provided in the study can serve as a springboard for more investigation and the construction of actual intelligent wells and intelligent oilfields.
Keywords: intelligent oilfield, oil, production, artificial intelligence