Proceedings of the 2nd International Conference on Software Engineering, Knowledge Engineering and Information Engineering (SEKEIE 2014)

Smart Wells Optimization in Oil Reservoirs Using Adjoint Gradient Model

Authors
Xian Shan, Tao Zhang
Corresponding Author
Xian Shan
Available Online March 2014.
DOI
10.2991/sekeie-14.2014.26How to use a DOI?
Keywords
Smart wells; adjoint-based gradient; NPV value;optimization
Abstract

Smart wells can effectivelyimprove the reservoir developing by selectively controlling flow production of the valves. In this work, we proposed an adjoint-based gradient method for the smart well control optimization within the search for optimum smart wells inflow control valves configuration. Numerical study showed that the NPV value can be increased obviously by the optimization. The displacement efficiency can also be improved.

Copyright
© 2014, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2nd International Conference on Software Engineering, Knowledge Engineering and Information Engineering (SEKEIE 2014)
Series
Advances in Intelligent Systems Research
Publication Date
March 2014
ISBN
10.2991/sekeie-14.2014.26
ISSN
1951-6851
DOI
10.2991/sekeie-14.2014.26How to use a DOI?
Copyright
© 2014, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Xian Shan
AU  - Tao Zhang
PY  - 2014/03
DA  - 2014/03
TI  - Smart Wells Optimization in Oil Reservoirs Using Adjoint Gradient Model
BT  - Proceedings of the 2nd International Conference on Software Engineering, Knowledge Engineering and Information Engineering (SEKEIE 2014)
PB  - Atlantis Press
SP  - 109
EP  - 113
SN  - 1951-6851
UR  - https://doi.org/10.2991/sekeie-14.2014.26
DO  - 10.2991/sekeie-14.2014.26
ID  - Shan2014/03
ER  -