Open AccessReview of Python Applications in Solving Oil and Gas Problems
Author(s) -
Edet Ita Okon,
Dulu Appah,
J.A. Ajienka
Publication year - 2021
Publication title -
journal of engineering research and reports
Language(s) - English
Resource type - Journals
ISSN - 2582-2926
DOI - 10.9734/jerr/2021/v21i317448
Subject(s) - popularity , python (programming language) , petroleum industry , revenue , computer science , boom , fossil fuel , petroleum , software , government (linguistics) , petroleum engineering , engineering management , engineering , business , operating system , waste management , chemistry , environmental engineering , psychology , social psychology , linguistics , philosophy , organic chemistry , accounting
Python has grown in popularity throughout various industries, corporations, universities, government, and research groups. Its true potential to automate various processes while increased predictability capabilities have been noticed in various industries. The petroleum industry is at the beginning phase of applying it to solve oil and gas problems. The rise in its popularity in the oil and gas industry is due to the digital transformation such as sensors and high-performance computing services that enable artificial intelligence (AI), machine learning (ML), big data acquisition, and storage in digital oilfields. A quick search on the number of publications in the oil and gas industry with the Society of Petroleum Engineers (OnePetro) in the past few years attests to this fact. Hence, it has proven to be a promising application that can bring about a revolutionary change in the oil and gas industry and transform the existing features for solving oil and gas problems. This will help the production and reservoir engineers to better manage the production operation without any need for expensive software. It will also reduce the overall operating cost and increase revenue.