Neural Network Meta-Modeling of Steam Assisted Gravity Drainage Oil Recovery Processes
Production of highly viscous tar sand bitumen using Steam Assisted Gravity Drainage (SAGD) with a pair of horizontal wells has advantages over conventional steam flooding. This paper explores the use of Artificial Neural Networks (ANNs) as an alternative to the traditional SAGD simulation approach....
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Iranian Institute of Research and Development in Chemical Industries (IRDCI)-ACECR
2010-09-01
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Series: | Iranian Journal of Chemistry & Chemical Engineering |
Subjects: | |
Online Access: | http://www.ijcce.ac.ir/article_6644_13b6a8eabea0b3db59a0c78bce67a970.pdf |