Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Brian Panetta"'
Autor:
Ebrahim Fathi, Timothy R. Carr, Mohammad Faiq Adenan, Brian Panetta, Abhash Kumar, B.J. Carney
Publikováno v:
Machine Learning with Applications, Vol 10, Iss , Pp 100421- (2022)
The Marcellus Shale and Energy Environmental Laboratory (MSEEL) provides a comprehensive dataset and field tests that can be used to study the significance of preexisting natural fractures in different subsurface engineering problems such as the effe
Externí odkaz:
https://doaj.org/article/0c38aa3fa7d54aa38a4733865ed10565
Publikováno v:
The Routledge Companion to Creativities in Music Education ISBN: 9781003248194
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e3ff870817cfae987f1a292937cb0a5a
https://doi.org/10.4324/9781003248194-49
https://doi.org/10.4324/9781003248194-49
Publikováno v:
Second International Meeting for Applied Geoscience & Energy.
Autor:
Timothy Carr, Ebrahim Fathi, Rob Bohn, Mohammad Faiq Adenan, Liwei Li, Brian Panetta, B. J. Carney, Natalie Mitchell
Publikováno v:
Day 1 Tue, February 01, 2022.
The Marcellus Shale Energy and Environmental Lab (MSEEL) provides a publicly available dataset and a hypothesis-driven field test of the significance of preexisting natural fractures at multiple scales on the effectiveness of the stimulation of an un