Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Arwa Mawlod"'
Autor:
Arwa Mawlod, Afzal Memon, Nikolaos Varotsis, Vassilis Gaganis, Vicky Anastasiadou, John Nighswander, Muataz Salem Al Shuaibi
Publikováno v:
Day 3 Wed, November 02, 2022.
Objectives/Scope Round-robin tests and laboratory audits have demonstrated that reservoir fluid compositions measurements can be systematically uncertain. To reduce compositional uncertainties, this work uses Machine Learning (ML) algorithms to updat
Publikováno v:
Day 4 Thu, November 18, 2021.
Objectives/Scope: Oil and gas operators use a variety of reservoir engineering workflows in addition to the reservoir, production, and surface facility simulation tools to quantify reserves and complete field development planning activities. Reservoi