Prediction of Water Saturation in Tight Gas Sandstone Formation Using Artificial Intelligence

Bibliographic Details
Main Authors: Ahmed Farid Ibrahim, Salaheldin Elkatatny, Mustafa Al Ramadan
Format: Article
Language:English
Published: American Chemical Society 2022-01-01
Series:ACS Omega
Online Access:https://doi.org/10.1021/acsomega.1c04416
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author Ahmed Farid Ibrahim
Salaheldin Elkatatny
Mustafa Al Ramadan
author_facet Ahmed Farid Ibrahim
Salaheldin Elkatatny
Mustafa Al Ramadan
author_sort Ahmed Farid Ibrahim
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spelling doaj.art-3f82dc5fa94d45c98e3e67297c66efed2022-12-21T19:48:26ZengAmerican Chemical SocietyACS Omega2470-13432022-01-017121522210.1021/acsomega.1c04416Prediction of Water Saturation in Tight Gas Sandstone Formation Using Artificial IntelligenceAhmed Farid Ibrahim0Salaheldin Elkatatny1Mustafa Al Ramadan2Department of Petroleum Engineering and Geosciences, King Fahd University of Petroleum & Minerals, Dhahran, Saudi ArabiaDepartment of Petroleum Engineering and Geosciences, King Fahd University of Petroleum & Minerals, Dhahran, Saudi ArabiaDepartment of Petroleum Engineering and Geosciences, King Fahd University of Petroleum & Minerals, Dhahran, Saudi Arabiahttps://doi.org/10.1021/acsomega.1c04416
spellingShingle Ahmed Farid Ibrahim
Salaheldin Elkatatny
Mustafa Al Ramadan
Prediction of Water Saturation in Tight Gas Sandstone Formation Using Artificial Intelligence
ACS Omega
title Prediction of Water Saturation in Tight Gas Sandstone Formation Using Artificial Intelligence
title_full Prediction of Water Saturation in Tight Gas Sandstone Formation Using Artificial Intelligence
title_fullStr Prediction of Water Saturation in Tight Gas Sandstone Formation Using Artificial Intelligence
title_full_unstemmed Prediction of Water Saturation in Tight Gas Sandstone Formation Using Artificial Intelligence
title_short Prediction of Water Saturation in Tight Gas Sandstone Formation Using Artificial Intelligence
title_sort prediction of water saturation in tight gas sandstone formation using artificial intelligence
url https://doi.org/10.1021/acsomega.1c04416
work_keys_str_mv AT ahmedfaridibrahim predictionofwatersaturationintightgassandstoneformationusingartificialintelligence
AT salaheldinelkatatny predictionofwatersaturationintightgassandstoneformationusingartificialintelligence
AT mustafaalramadan predictionofwatersaturationintightgassandstoneformationusingartificialintelligence