A robust approach to pore pressure prediction applying petrophysical log data aided by machine learning techniques

Determination of pore pressure (PP), a key reservoir parameter that is beneficial for evaluating geomechanical parameters of the reservoir, is so important in oil and gas fields development. Accurate estimation of PP is also essential for safe drilling of oil and gas wells since PP data are used as...

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Bibliographic Details

Published in:	Energy reports Vol. 8; pp. 2233 - 2247
Main Authors:	Zhang, Guodao, Davoodi, Shadfar, Band, Shahab S., Ghorbani, Hamzeh, Mosavi, Amir, Moslehpour, Massoud
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.11.2022 Elsevier
Subjects:	Decision tree algorithm Machine learning algorithms Petrophysical data Pore pressure Petrophysical data Decision tree algorithm Machine learning algorithms Pore pressure
ISSN:	2352-4847, 2352-4847
Online Access:	Get full text
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