Zobrazeno 1 - 10
of 15 784
pro vyhledávání: '"J A, Carey"'
Publikováno v:
Irish Arts Review (2002-), 2011 Dec 01. 28(4), 58-60.
Externí odkaz:
https://www.jstor.org/stable/41328917
Publikováno v:
Journal of Rock Mechanics and Geotechnical Engineering, Vol 16, Iss 6, Pp 2019-2032 (2024)
Given the challenge of definitively discriminating between chemical and nuclear explosions using seismic methods alone, surface detection of signature noble gas radioisotopes is considered a positive identification of underground nuclear explosions (
Externí odkaz:
https://doaj.org/article/ed74b999b01942489d3922fc5e842bd6
Publikováno v:
Journal of Rock Mechanics and Geotechnical Engineering, Vol 16, Iss 6, Pp 1967-1976 (2024)
Debonding at the cement-casing interface is recognized as a principal failure mechanism leading to CO2 leakage in wells. This detachment gives rise to a microannulus, which notably possesses greater permeability than undamaged cement, undermining its
Externí odkaz:
https://doaj.org/article/10a240201c1a446382b6a00792f76e51
Autor:
Matthew R. Sweeney, Jeffrey D. Hyman, Daniel O’Malley, Javier E. Santos, J. William Carey, Philip H. Stauffer, Hari S. Viswanathan
Publikováno v:
Geophysical Research Letters, Vol 50, Iss 21, Pp n/a-n/a (2023)
Abstract We model flow and transport in fracture networks with varying degrees of fracture‐to‐fracture aperture heterogeneity and network intensity to show how changes in these properties can cause the emergence of anomalous flow and transport be
Externí odkaz:
https://doaj.org/article/f2f922b7f0384385b1fba353180bd7c0
A machine learning framework for rapid forecasting and history matching in unconventional reservoirs
Autor:
Shriram Srinivasan, Daniel O’Malley, Maruti K. Mudunuru, Matthew R. Sweeney, Jeffrey D. Hyman, Satish Karra, Luke Frash, J. William Carey, Michael R. Gross, George D. Guthrie, Timothy Carr, Liwei Li, Hari S. Viswanathan
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-15 (2021)
Abstract We present a novel workflow for forecasting production in unconventional reservoirs using reduced-order models and machine-learning. Our physics-informed machine-learning workflow addresses the challenges to real-time reservoir management in
Externí odkaz:
https://doaj.org/article/19a3100ba9fc42afae2d745226851b22
Autor:
Josel, Nat
Publikováno v:
RQ, 1974 Dec 01. 14(2), 165-165.
Externí odkaz:
https://www.jstor.org/stable/41354027
Autor:
Hand, Ralf
Publikováno v:
Willdenowia, 1998 Dec 01. 28(1/2), 291-291.
Externí odkaz:
https://www.jstor.org/stable/3997061
Autor:
Mary Kang, Jade Boutot, Renee C McVay, Katherine A Roberts, Scott Jasechko, Debra Perrone, Tao Wen, Greg Lackey, Daniel Raimi, Dominic C Digiulio, Seth B C Shonkoff, J William Carey, Elise G Elliott, Donna J Vorhees, Adam S Peltz
Publikováno v:
Environmental Research Letters, Vol 18, Iss 7, p 074012 (2023)
Hundreds of thousands of documented and undocumented orphaned oil and gas wells exist in the United States (U.S.). These wells have the potential to contaminate water supplies, degrade ecosystems, and emit methane and other air pollutants. Thus, orph
Externí odkaz:
https://doaj.org/article/6775dafc38ee45f199bbae242ecfaeac
Autor:
Jean Blondel
Publikováno v:
Government and Opposition. 28:415-417
Publikováno v:
Earth Surface Dynamics, Vol 7, Pp 707-722 (2019)
Although slow-moving landslides represent a substantial hazard, their detailed mechanisms are still comparatively poorly understood. We have conducted a suite of innovative laboratory experiments using novel equipment to simulate a range of porewater
Externí odkaz:
https://doaj.org/article/9272c4d50a8e40d19417e0c7e3a4c4c2