Appraisal of reservoir porosity using a machine learning approach: A study from the Eocene‐Miocene interval of Upper Assam Basin, NE , India

Porosity estimation is essential for the exploration of hydrocarbons in sedimentary basins, which are affected by several factors such as the burial depth, lithology changes, sedimentary environment and diagenetic degree. Hence, detailed understanding of reservoir porosity is essential for estimatin...

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Veröffentlicht in:	Geological journal (Chichester, England) England), 2023-11, Vol.58 (11), p.4181-4193
Hauptverfasser:	Kumar, Jitender, Kumar, Priyadarshi Chinmoy, Sain, Kalachand
Format:	Artikel
Sprache:	eng
Schlagworte:	Diagenesis Eocene Estimation Hydrocarbons Intervals Learning algorithms Lithology Machine learning Miocene Oligocene Porosity Reservoirs Sedimentary basins Seismic surveys Thickness
Online-Zugang:	Volltext
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