A Greedy Approach for Placement of Subsurface Aquifer Wells in an Ensemble Filtering Framework

TitleA Greedy Approach for Placement of Subsurface Aquifer Wells in an Ensemble Filtering Framework
Publication TypeJournal Article
Year of Publication2015
AuthorsGharamti, ME, Marzouk, Y, Huan, X, Hoteit, I
JournalLecture Notes in Computer Science
Volume8964
PublisherSpringer Verlag
ISSN0302-9743
Abstract

Optimizing wells placement may help in better understanding subsurface solute transport and detecting contaminant plumes. In this work, we use the ensemble Kalman filter (EnKF) as a data assimilation tool and propose a greedy observational design algorithm to optimally select aquifer wells locations for updating the prior contaminant ensemble. The algorithm is greedy in the sense that it operates sequentially, without taking into account expected future gains. The selection criteria is based on maximizing the information gain that the EnKF carries during the update of the prior uncertainties. We test the efficiency of this algorithm in a synthetic aquifer system where a contaminant plume is set to migrate over a 30 years period across a heterogenous domain.

DOI10.1007/978-3-319-25138-7_27
Refereed DesignationRefereed
Author Address

NERSC