Change search
ReferencesLink to record
Permanent link

Direct link
A Study in MINLP-class Optimization Problems for Simulated Petroleum Production
Norwegian University of Science and Technology, Faculty of Information Technology, Mathematics and Electrical Engineering, Department of Engineering Cybernetics.
2012 (English)MasteroppgaveStudent thesis
Abstract [en]

To aid in faster and better decision making it is interesting to couple advanced simulators with optimization tools. Most simulators however does not offer gradients, therefore derivative-free methods must be used. In this thesis optimization of and oil and gas field with free routing is considered. By embedding the structural information in the optimization problem and approximating the simulators by polynomials a MINLP problem is formed which can be solved by gradient based solvers. This approach requires that the polynomial models are updated frequently to fit the simulators. Each update requires several simulations and creates a trade-off between robustness and computation time. Different updating strategies for the models are considered in this thesis. By solving a separate optimization problem to update the models the MINLP problem can be formulated as a convex problem which is solved in a branch and bound framework and with an interior-point. Two approaches to updating the models in respect to the branch and bound method are explored, and it is found to be more robust to update the models for each node of the branch and bound tree, ensuring a local fit before branching.

Place, publisher, year, edition, pages
Institutt for teknisk kybernetikk , 2012. , 84 p.
Keyword [no]
ntnudaim:7059, MTTK teknisk kybernetikk
URN: urn:nbn:no:ntnu:diva-18435Local ID: ntnudaim:7059OAI: diva2:565928
Available from: 2012-11-08 Created: 2012-11-08

Open Access in DiVA

fulltext(783 kB)395 downloads
File information
File name FULLTEXT01.pdfFile size 783 kBChecksum SHA-512
Type fulltextMimetype application/pdf
cover(184 kB)16 downloads
File information
File name COVER01.pdfFile size 184 kBChecksum SHA-512
Type coverMimetype application/pdf

By organisation
Department of Engineering Cybernetics

Search outside of DiVA

GoogleGoogle Scholar
Total: 395 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 62 hits
ReferencesLink to record
Permanent link

Direct link