Multi-objective geostistical history matching(Conference Paper)

77th EAGE Conference and Exhibition 2015: Earth Science for Energy and Environment

Conference Paper

Vectorial Multi-Objective and Stochastic History Matching techniques produce good results and are able to quickly find several local minima, however, they entail a very large computational cost where hundreds to thousands of fluid flow simulations are needed in each iteration. The current work proposes a Geostatistically based Multi-Objective approach where the computational cost is drastically lowered. A simple synthetic case study is presented with promising results.

A.S.A. Soares


Year of publication: 2015


ISBN: 978-151080662-7


DOI: 10.3997/2214-4609.201413032

Alternative Titles