Open AccessNew Models for Predicting Pore Pressure and Fracture Pressure while Drilling in Mixed Lithologies Using Artificial Neural Networks
Author(s) -
Samir Khaled,
Ahmed Ashraf Soliman,
Abdulrahman Mohamed,
Sayed Gomaa,
Attia Mahmoud Attia
Publication year - 2022
Publication title -
acs omega
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.779
H-Index - 40
ISSN - 2470-1343
DOI - 10.1021/acsomega.2c01602
Subject(s) - artificial neural network , pore water pressure , petroleum engineering , geology , oil shale , drilling , fracture (geology) , lithology , hydraulic fracturing , drilling fluid , compaction , geotechnical engineering , artificial intelligence , engineering , computer science , petrology , mechanical engineering , paleontology
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