Application of predictive data analytics to model daily hydrocarbon production using petrophysical, geomechanical, fiber-optic, completions, and surface data: A case study from the Marcellus Shale, North America-Reference-Cited by-同舟云学术

Application of predictive data analytics to model daily hydrocarbon production using petrophysical, geomechanical, fiber-optic, completions, and surface data: A case study from the Marcellus Shale, North America

Published:2019-05 Issue: Volume:176 Page:702-715
ISSN:0920-4105
Container-title:Journal of Petroleum Science and Engineering
language:en
Short-container-title:Journal of Petroleum Science and Engineering

Author:

Bhattacharya Shuvajit,Ghahfarokhi Payam Kavousi,Carr Timothy R.,Pantaleone Scott

Funder

U.S.DOE National Energy Technology Lab

Publisher

Elsevier BV

Subject

Geotechnical Engineering and Engineering Geology,Fuel Technology

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5. Earthquakes analysis using data recorded by the Stanford DAS array;Biondi,2017

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