Using a dynamic model of technological processes to reduce the cost of heavy oil extraction

摘要：

　　The article considers the problem of reducing the cost of heavy oil productions.A new approach,based on the intelligent analysis of successful events historical data of qualitative EOR application,is proposed.Based on database info analysis,the synthesis of a model,targeted to automated search of wells for EOR application,is worked out.The main data processing tool is a novel technology,based on neural network analysis techniques and evolutionary algorithms implementation.This approach allows selecting EOR in fuzzy,hardly formalized oilfield conditions and reduces the dependence on the human factor.

关键词： oil and gas industry heavy oil the substitution of import decision support systems digital oilfield

作者: Iakov S. Korovin Anatoly I. Kalyaev Maxim V. Khisamutdinov

作者单位: Scientific research institute of multiprocessor computer systems of the Southern Federal University Taganrog, Russia

会议类型: 国际会议

会议名称: 2016 2nd International Conference on Mechanical, Electronic and Information Technology Engineering(2016机械、电子和信息技术国际会议)

会议地点: 重庆

会议语种:英文

页码: 408-411

在线出版日期: 2016-03-21（万方平台首次上网日期，不代表论文的发表时间）