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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Veröffentlicht in:	Energy reports Jg. 8; S. 2233 - 2247
Hauptverfasser:	Zhang, Guodao, Davoodi, Shadfar, Band, Shahab S., Ghorbani, Hamzeh, Mosavi, Amir, Moslehpour, Massoud
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.11.2022 Elsevier
Schlagworte:	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-Zugang:	Volltext
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