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David Echeverría Ciaurri
Researcher at IBM
Publications - 30
Citations - 1247
David Echeverría Ciaurri is an academic researcher from IBM. The author has contributed to research in topics: Optimization problem & Derivative-free optimization. The author has an hindex of 13, co-authored 29 publications receiving 1087 citations. Previous affiliations of David Echeverría Ciaurri include Stanford University.
Papers
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Book ChapterDOI
Surrogate-Based Methods
TL;DR: This chapter briefly describes the basics of surrogate-based optimization, various ways of creating surrogate models, as well as several examples of surrogate -based optimization techniques.
Journal ArticleDOI
Joint optimization of oil well placement and controls
Mathias Rodrigez Bellout,David Echeverría Ciaurri,Louis J. Durlofsky,Bjarne A. Foss,Jon Kleppe +4 more
TL;DR: This work proposes a joint approach that embeds well control optimization within the search for optimum well placement configurations using derivative-free methods based on pattern search.
Journal ArticleDOI
A derivative-free methodology with local and global search for the constrained joint optimization of well locations and controls
TL;DR: The PSO–MADS hybrid procedure is shown to consistently outperform both stand-alone PSO and MADS when solving the joint problem, and is observed to provide superior performance relative to a sequential procedure.
Journal ArticleDOI
Optimal Well Placement Under Uncertainty Using a Retrospective Optimization Framework
TL;DR: Findings indicate that RO using cluster sampling represents a promising approach for optimizing well locations under geological uncertainty.