Open AccessEvaluating proxies for the drivers of natural gas productivity using machine-learning models
Author(s) -
Abhash Kumar,
William Harbert,
Richard Hammack,
Erich Zorn,
Alexander Bear,
Timothy R. Carr
Publication year - 2021
Publication title -
interpretation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.362
H-Index - 25
eISSN - 2324-8866
pISSN - 2324-8858
DOI - 10.1190/int-2020-0200.1
Subject(s) - hydraulic fracturing , reservoir modeling , microseism , tight gas , unconventional oil , geology , petroleum engineering , petrophysics , kriging , soil science , environmental science , machine learning , computer science , seismology , geotechnical engineering , oil shale , paleontology , porosity
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