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Title: Detecting dynamic causal inference in nonlinear two-phase fracture flow

Authors:
Publication Date:
Sponsoring Org.:
USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23); USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR) (SC-21)
OSTI Identifier:
1550539
Grant/Contract Number:  
AC02-05CH11231
Resource Type:
Publisher's Accepted Manuscript
Journal Name:
Advances in Water Resources
Additional Journal Information:
Journal Name: Advances in Water Resources Journal Volume: 106 Journal Issue: C; Journal ID: ISSN 0309-1708
Publisher:
Elsevier
Country of Publication:
United Kingdom
Language:
English

Citation Formats

Faybishenko, Boris. Detecting dynamic causal inference in nonlinear two-phase fracture flow. United Kingdom: N. p., 2017. Web. doi:10.1016/j.advwatres.2017.02.011.
Faybishenko, Boris. Detecting dynamic causal inference in nonlinear two-phase fracture flow. United Kingdom. doi:10.1016/j.advwatres.2017.02.011.
Faybishenko, Boris. Tue . "Detecting dynamic causal inference in nonlinear two-phase fracture flow". United Kingdom. doi:10.1016/j.advwatres.2017.02.011.
@article{osti_1550539,
title = {Detecting dynamic causal inference in nonlinear two-phase fracture flow},
author = {Faybishenko, Boris},
abstractNote = {},
doi = {10.1016/j.advwatres.2017.02.011},
journal = {Advances in Water Resources},
number = C,
volume = 106,
place = {United Kingdom},
year = {2017},
month = {8}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record
DOI: 10.1016/j.advwatres.2017.02.011

Citation Metrics:
Cited by: 1 work
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