Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Rayner Davila"'
Autor:
Erismar Rubio, Mohamed Yousef Alklih, Nagaraju Reddicharla, Abobaker Albelazi, Melike Dilsiz, Mohamed Ali Al-Attar, Rayner Davila, Karem Khan
Publikováno v:
Day 2 Tue, November 16, 2021.
Automation and data-driven models have been proven to yield commercial success in several oil fields worldwide with reported technical advantages related to improved reservoir management. This paper demonstrates the implementation of an integrated wo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b037eff84220fb06101c881b10e536b4
https://doi.org/10.2118/207422-ms
https://doi.org/10.2118/207422-ms
Autor:
Siddharth Sabat, Amit Kumar, Erismar Rubio, Rachelle Christine Cornwall, Sarath Konkati, Kevin Dean Mcneilly, Rayner Davila, Sandeep Soni, Deepak Tripathi, Ayesha Ahmed Al Saeedi, Mayada Ali Sultan Ali, Jose Isambertt, Nagaraju Reddicharla
Publikováno v:
Day 2 Tue, November 10, 2020.
This paper illustrates integrated data management and architecture philosophy in an integrated digital oil field (DOF) production & reservoir ecosystem comprising of workflow automation implementations. Data availability, gathering, quality, validati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b9bc8b2e325379bac47b61a30e30e810
https://doi.org/10.2118/203317-ms
https://doi.org/10.2118/203317-ms
Publikováno v:
Day 2 Tue, November 12, 2019.
Enriched Reservoir Inflow Performance Relationship (ER-IPR) is a novel, expert and intuitive surveillance tool to manage by exception underperforming wells, using smart analytics for well problem classification, prescribe possible remedial actions or
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fb2b49710e6bf2128c7541b90d3c393c
https://doi.org/10.2118/197702-ms
https://doi.org/10.2118/197702-ms
Autor:
Jawaher Nasser Al Hebsi, Rayner Davila, Nagaraju Reddicharla, Ahmed Abdulla Bin Amro, Erismar Rubio
Publikováno v:
Day 3 Wed, March 20, 2019.
Integrated Asset Operating Model is a holistic approach that fosters several processes such as data consistency, production optimization, well monitoring, field performance, allocation and target compliances; providing efficient and faster decision-m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b40db0fa46a8d1aa6a3e675bfcecf646
https://doi.org/10.2118/194930-ms
https://doi.org/10.2118/194930-ms
Autor:
Rayner Davila, Erismar Rubio, Luis Alfredo Figuera, Ahmed Abdulla Bin Amro, Karem Alejandra Khan, Sergio Caicedo, Salem Al-Ameri
Publikováno v:
Day 2 Tue, November 14, 2017.
Achieving history match for all three phases in a surface network model is not a straight forward task. Many variables are interacting in the process from sandface, well models, system architecture, measurements, and well testing until export meters.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bccc6fa15f484460f4fd1f60b074eb95
https://doi.org/10.2118/188412-ms
https://doi.org/10.2118/188412-ms
Autor:
Karem Alejandra Khan, Rayner Davila, Luis Alfredo Figuera, Ahmed Mohamed Emam, Erismar Rubio, Achmad Rusmantoro, Ahmed Abdulla Bin Amro, Kahina Tazerout
Publikováno v:
Day 4 Thu, November 16, 2017.
Historically, field development plans are determined by reservoir production profile generated in standalone subsurface models using a simulation-based forecast. The resulting oil production profile is commonly over estimated because the constraints
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c505471a6ec71dea71f20f1a3f3b6734
https://doi.org/10.2118/188723-ms
https://doi.org/10.2118/188723-ms
Publikováno v:
All Days.
Hydrocarbon allocation becomes essential when facilities are shared for various contributing wells or reservoirs. Uncertainty in the reassignment factor can significantly impact operators’ daily decisions, reservoir health, and ultimately the organ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::32c369b5bb256fbc61543c43c2ccdb4e
https://doi.org/10.2118/187930-ms
https://doi.org/10.2118/187930-ms