Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Ahsen Ozesen"'
Autor:
Hasanain Alsaheib, Nayif Jama, Karthik Balaji, Kirill Yanidis, Mustafa A. Basri, Celal Hakan Canbaz, Nouf AlSulaiman, Ahsen Ozesen, Cenk Temizel
Publikováno v:
Day 1 Mon, August 16, 2021.
Machine learning models have worked as a robust tool in forecasting and optimization processes for wells in conventional, data-rich reservoirs. In unconventional reservoirs however, given the large ranges of uncertainty, purely data-driven, machine l
Publikováno v:
Day 1 Wed, October 21, 2020.
SPE Annual Caspian Technical Conference 2020, CTC 2020 -- 21 October 2020 through 22 October 2020 -- -- 164375
Reserve/Resource estimation plays a crucial role in a feasible oil and gas business. Tendency of producing more from unconventional re
Reserve/Resource estimation plays a crucial role in a feasible oil and gas business. Tendency of producing more from unconventional re
Publikováno v:
SPE Annual Caspian Technical Conference.
Autor:
Shanker Krishna, Cenk Temizel, Dayanara Betancourt, Luigi Saputelli, Cagdas Acar, Celal Hakan Canbaz, Ahsen Ozesen
Publikováno v:
Scopus-Elsevier
SPE Annual Technical Conference and Exhibition 2020, ATCE 2020 -- 26 October 2020 through 29 October 2020 -- -- 164382
As major oil and gas companies have been investing in greener energy resources, even though has been part of the oil and gas i
As major oil and gas companies have been investing in greener energy resources, even though has been part of the oil and gas i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f5e6236d8c021bc49d27452a557a4428
http://www.scopus.com/inward/record.url?eid=2-s2.0-85095689106&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-85095689106&partnerID=MN8TOARS