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

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
Main Authors: Guodao Zhang, Shadfar Davoodi, Shahab S. Band, Hamzeh Ghorbani, Amir Mosavi, Massoud Moslehpour
Format: Article
Language:English
Published: Elsevier 2022-11-01
Series:Energy Reports
Subjects:
Pore pressure
Machine learning algorithms
Petrophysical data
Decision tree algorithm
Online Access:http://www.sciencedirect.com/science/article/pii/S2352484722000129

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http://www.sciencedirect.com/science/article/pii/S2352484722000129

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