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Title: Data assimilation method for fractured reservoirs using mimetic finite differences and ensemble Kalman filter

Abstract

Not provided.

Authors:
ORCiD logo; ;
Publication Date:
Research Org.:
Univ. of Texas, Austin, TX (United States)
Sponsoring Org.:
USDOE Office of Fossil Energy (FE)
OSTI Identifier:
1533337
DOE Contract Number:  
FE0023314
Resource Type:
Journal Article
Journal Name:
Computational Geosciences
Additional Journal Information:
Journal Volume: 21; Journal Issue: 4; Journal ID: ISSN 1420-0597
Publisher:
Springer
Country of Publication:
United States
Language:
English
Subject:
Computer Science; Geology

Citation Formats

Ping, Jing, Al-Hinai, Omar, and Wheeler, Mary F. Data assimilation method for fractured reservoirs using mimetic finite differences and ensemble Kalman filter. United States: N. p., 2017. Web. doi:10.1007/s10596-017-9659-7.
Ping, Jing, Al-Hinai, Omar, & Wheeler, Mary F. Data assimilation method for fractured reservoirs using mimetic finite differences and ensemble Kalman filter. United States. doi:10.1007/s10596-017-9659-7.
Ping, Jing, Al-Hinai, Omar, and Wheeler, Mary F. Fri . "Data assimilation method for fractured reservoirs using mimetic finite differences and ensemble Kalman filter". United States. doi:10.1007/s10596-017-9659-7.
@article{osti_1533337,
title = {Data assimilation method for fractured reservoirs using mimetic finite differences and ensemble Kalman filter},
author = {Ping, Jing and Al-Hinai, Omar and Wheeler, Mary F.},
abstractNote = {Not provided.},
doi = {10.1007/s10596-017-9659-7},
journal = {Computational Geosciences},
issn = {1420-0597},
number = 4,
volume = 21,
place = {United States},
year = {2017},
month = {5}
}

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