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Data mining and machine learning for identifying sweet spots in shale reservoirs

Crossref DOI link: https://doi.org/10.1016/j.eswa.2017.07.015

Published Print: 2017-12

Update policy: https://doi.org/10.1016/elsevier_cm_policy

Authors

Tahmasebi, Pejman

Javadpour, Farzam

Sahimi, Muhammad
Funding

Funding for this research was provided by:

University of Wyoming

Nano Geosciences

Mudrock Systems Research Laboratory

MSRL

University of Texas at Austin

BP

Chevron

ConocoPhillips

Eni

Marathon

Penn

Virginia

Penn

West

Pioneer

Shell

Statoil

The Unconventionals

U.S. Intercrop
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Text and Data Mining valid from 2017-12-01
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This article is maintained by: Elsevier

Article Title: Data mining and machine learning for identifying sweet spots in shale reservoirs

Journal Title: Expert Systems with Applications

CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.eswa.2017.07.015

Content Type: article

Copyright: © 2017 Elsevier Ltd. All rights reserved.