NDLI: Joint optimization of oil well placement and controls

Content Provider	Springer Nature Link
Author	Bellout, Mathias C. Echeverría Ciaurri, David Durlofsky, Louis J. Foss, Bjarne Kleppe, Jon
Copyright Year	2012
Abstract	Well placement and control optimization in oil field development are commonly performed in a sequential manner. In this work, we propose a joint approach that embeds well control optimization within the search for optimum well placement configurations. We solve for well placement using derivative-free methods based on pattern search. Control optimization is solved by sequential quadratic programming using gradients efficiently computed through adjoints. Joint optimization yields a significant increase, of up to 20% in net present value, when compared to reasonable sequential approaches. The joint approach does, however, require about an order of magnitude increase in the number of objective function evaluations compared to sequential procedures. This increase is somewhat mitigated by the parallel implementation of some of the pattern-search algorithms used in this work. Two pattern-search algorithms using eight and 20 computing cores yield speedup factors of 4.1 and 6.4, respectively. A third pattern-search procedure based on a serial evaluation of the objective function is less efficient in terms of clock time, but the optimized cost function value obtained with this scheme is marginally better.
Starting Page	1061
Ending Page	1079
Page Count	19
File Format	PDF
ISSN	14200597
Journal	Computational Geosciences
Volume Number	16
Issue Number	4
e-ISSN	15731499
Language	English
Publisher	Springer Netherlands
Publisher Date	2012-07-15
Publisher Place	Dordrecht
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Oil production optimization Optimal oil well placement Simulation-based optimization Derivative-free optimization Adjoint methods Mixed-integer nonlinear programming Geotechnical Engineering & Applied Earth Sciences Mathematical Modeling and Industrial Mathematics Hydrogeology Soil Science & Conservation
Content Type	Text
Resource Type	Article
Subject	Computers in Earth Sciences Computational Theory and Mathematics Computer Science Applications Computational Mathematics

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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