Zobrazeno 1 - 10
of 45
pro vyhledávání: '"Zheren Ma"'
Autor:
Eric van Oort, Zheren Ma, Adrian Ambrus, AmirHossein Fallah, Dongemi Chen, Qifan Gu, Pradeep Ashok
Publikováno v:
SPE Drilling & Completion. 35:201-217
Summary Riser gas unloading events in subsea well construction are hazardous and difficult to control. When a gas influx enters the wellbore and dissolves in nonaqueous fluids (NAFs), it may go unnoticed because the pit gain on the surface may be min
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::776f89e7fad9ceb42c3f5221e685b53f
https://doi.org/10.2118/194163-pa
https://doi.org/10.2118/194163-pa
Publikováno v:
Journal of Intelligent & Robotic Systems. 101
Autonomous Mobile Robots (AMRs) have become extremely popular in the manufacturing domain, especially for processes involving large factory floors where these robots are used for transporting materials from one location to another. In an environment
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a61db22904d04c41ea247c9876f8de7e
https://doi.org/10.1007/s10846-020-01288-9
https://doi.org/10.1007/s10846-020-01288-9
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c745d95c2a91f6818a73cf6bb2e35636
https://doi.org/10.2118/201459-ms
https://doi.org/10.2118/201459-ms
Autor:
Hanna Lee, Ehsan Davani, Xiang Zhai, David Castineira, Zheren Ma, Xiaodan Ma, Hamed Darabi, Izzet Arslan
Publikováno v:
Day 3 Wed, September 30, 2020.
An Augmented AI approach has been developed to optimize completion design parameters and access the full potential of unconventional assets by leveraging big data sculpting, domain-induced feature engineering, and robust and explainable machine learn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a72b95b67ef81a239b24be70ca52ae77
https://doi.org/10.2118/200000-ms
https://doi.org/10.2118/200000-ms
Autor:
Hamed Darabi, Xiang Zhai, Amir Kianinejad, Zheren Ma, David Castineira, Vural Sander Suicmez, Robert Toronyi
Publikováno v:
Day 1 Mon, January 13, 2020.
Many important business decisions and planning in unconventional reservoirs rely on a reliable forecast on well performance. Common practices like statistical type curves, analytical methods, and numerical simulation are not well suited to incorporat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f45a7770e46f94126183aa45ecf9921a
https://doi.org/10.2523/iptc-20099-ms
https://doi.org/10.2523/iptc-20099-ms
Publikováno v:
International Petroleum Technology Conference.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f4c9a5f2d6b6cbc174f492c5bfa52b83
https://doi.org/10.2523/20099-ms
https://doi.org/10.2523/20099-ms
Publikováno v:
Journal of Dynamic Systems, Measurement, and Control. 141
Wind energy is a clean and desirable power source, but wind turbines can potentially operate to the detriment of grid stability. As wind turbine penetration increases, concerns grow regarding power intermittency and frequency regulation. These factor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::736cbb1b9e5ea8be64b48f9d82138fba
https://doi.org/10.1115/1.4043426
https://doi.org/10.1115/1.4043426
Autor:
Zheren Ma, Dongmei Chen, Roland May, Qifan Gu, Ali Karimi Vajargah, Eric van Oort, AmirHossein Fallah, Pradeepkumar Ashok
Publikováno v:
Day 3 Thu, March 07, 2019.
There is a growing need for comprehensive multi-phase hydraulic models that can accurately model more complex well control situations associated with the use of Managed Pressure Drilling (MPD) techniques, complex well geometries, High-Pressure High-T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2e58eaeb98d8bbd7b9debdaa549bae75
https://doi.org/10.2118/194083-ms
https://doi.org/10.2118/194083-ms
Autor:
Sercan Gul, Besmir Buranaj Hoxha, Zheren Ma, Eric van Oort, Mitchell David Johnson, Ali Karimi Vajargah
Publikováno v:
Scopus-Elsevier
Managing drilling margins in challenging wells requires precise prediction of frictional pressure losses and equivalent circulating density (ECD). Current hydraulic models in the industry fail to accurately predict the frictional pressure losses of c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::170b1ee8f0903426b3d6b80455f0ce32
https://doi.org/10.2118/194132-ms
https://doi.org/10.2118/194132-ms