Open AccessEnhanced velocity-based pore-pressure prediction using lithofacies clustering: a case study from a reservoir with complex lithology in Dezful Embayment, SW Iran
Author(s) -
Farid ArabAmeri,
H. Soleymani,
Behzad Tokhmechi
Publication year - 2019
Publication title -
journal of geophysics and engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.623
H-Index - 38
eISSN - 1742-2140
pISSN - 1742-2132
DOI - 10.1093/jge/gxy013
Subject(s) - cluster analysis , lithology , workflow , geology , petrophysics , data mining , computer science , petrology , artificial intelligence , porosity , geotechnical engineering , database
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