Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Wassim Benhallam"'
Publikováno v:
Day 1 Mon, March 21, 2022.
Horizontal wells provide a highly efficient way to maximize contact with the reservoir target and to increase overall recovery by allowing a larger drainage pattern. Traditionally, the identification of optimal horizontal well locations involves doma
Autor:
Johanna Smith, Yury S. Tokpanov, Wassim Benhallam, Xiang Zhai, Zheren Ma, David Castineira, Lichi Deng, Amir Salehi, Hamed Darabi
Publikováno v:
Day 2 Tue, October 27, 2020.
Stratigraphic correlation is essential in field evaluation as it provides the necessary tops to compartmentalize the reservoir. It further contributes to other parts of the field development planning cycle such as reservoir modeling, volumetric asses
Autor:
Hamed Darabi, Rami Kansao, Meher Ravuri, David Castineira, Alexander Aronovitz, Agustin Maqui, V.S. Suicmez, Wassim Benhallam
Publikováno v:
Day 3 Wed, July 29, 2020.
An integral aspect of field development planning is the process of identifying remaining, feasible, and actionable field development opportunities (FDOs) such as recompletions and new drills. In mature brown fields, this process is extremely difficul
Autor:
Jared Allison, Andrew Allman, Jeffrey E. Arbogast, Michael Baldea, Joseph Beaman, Wassim Benhallam, Apratim Bhattacharya, Rolf Bienert, David Castiñeira, Panagiotis D. Christofides, Chris Damsgard, Prodromos Daoutidis, Hamed Darabi, Cyril Defaye, Michael F. Drenski, Thomas F. Edgar, Sudarshan Ganesh, Ajit Gopalakrishnan, Michael C. Grady, Athanasios Kontopoulos, Cliff P. Kowall, Ankur Kumar, Jose M. Laínez-Aguirre, Irene Lotero, Tarun Madan, Zoltan Nagy, Matthew J. Palys, Timothy Phillips, Jose M. Pinto, Sivaraman Ramaswamy, Alex W. Reed, Wayne F. Reed, Gintaras Reklaitis, Thierry Roba, Tariq Samad, Carolyn Seepersad, Masoud Soroush, Qinglin Su, Karthik Thyagarajan, Alan Weber, Jim Wetzel, Aide Wu, Zhe Wu, Xiang Zhai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4f539448481cd5e3fddde3125a260574
https://doi.org/10.1016/b978-0-12-820028-5.09991-4
https://doi.org/10.1016/b978-0-12-820028-5.09991-4
The oil and gas (O&G) industry is facing intense pressure to improve operational efficiencies as oil and gas prices continue to fluctuate. Many O&G companies are now rushing into a digital transformation race where digital technologies would be used
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::31a3cf6d70432e30dbcbcd5963910233
https://doi.org/10.1016/b978-0-12-820028-5.00004-7
https://doi.org/10.1016/b978-0-12-820028-5.00004-7
Publikováno v:
Journal of Sedimentary Research. 86:1210-1227
The John Henry Member (JHM) of the Straight Cliffs Formation exposed along the Kaiparowits Plateau provides a record of ∼ 6 My of coastal-plain to marginal-marine deposition. To better understand the mechanisms influencing the alluvial architecture
Publikováno v:
Day 4 Wed, April 26, 2017.
A data-driven technology and associated workflow for fast identification of field development opportunities in mature oil fields is presented, which accelerates the subsurface field development planning process and reduces the time requirement from m
Publikováno v:
International Journal of Future Computer and Communication. :318-324
Publikováno v:
Journal of Emerging Technologies in Web Intelligence. 5
Aggressive and Intelligent Self-defensive Network (AISEN) is an open-source distributed solution that aims at deploying a semi-autonomous network, which enables internal attack deception through misguidance and illusion. In fact, instead of simply pr
Publikováno v:
Networked Digital Technologies ISBN: 9783642305061
Aggressive and Intelligent Self-defensive Network (AISEN) is an open-source distributed solution that aims at deploying a semi-autonomous network, which enables internal attack deception through misguidance and illusion. In fact, instead of simply pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bae75805e053bf6ab7f1df0e95f4f0bb
https://doi.org/10.1007/978-3-642-30507-8_30
https://doi.org/10.1007/978-3-642-30507-8_30