Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Mohammed Shono"'
Publikováno v:
Day 1 Mon, October 31, 2022.
This paper demonstrates a novel approach to tracking greenhouse gas emissions of artificial lift equipment, to support data and data driven decision making in delivering a circular carbon economy. Leveraging the outcome of insights and new datasets t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::51e740efebb5a68b8ee84e117e7a352d
https://doi.org/10.2118/211795-ms
https://doi.org/10.2118/211795-ms
Publikováno v:
Day 4 Thu, November 18, 2021.
The objectives and Scope is to evaluate the feasibility of a Production Maximization algorithm for ESPs on unconventional wells using projected operating conditions instead of current ones, which authors expect will be crucial in adjusting the well d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b327e253d899f6dc6ff22be26b1a72dc
https://doi.org/10.2118/207824-ms
https://doi.org/10.2118/207824-ms
Publikováno v:
Day 4 Thu, November 18, 2021.
This paper is a summary of the collaborative work between a Gulf Cooperation Council (GCC) national oil company (NOC) and Nybl, a deep tech development company, and the results of applying Nybl's proprietary science-based AI to the GCC NOC ESP wells
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1826f1edddb729cc2a436336b9de5e5f
https://doi.org/10.2118/207839-ms
https://doi.org/10.2118/207839-ms