Machine learning and data-driven prediction of pore pressure from geophysical logs: A case study for the Mangahewa gas field, New Zealand

Pore pressure is an essential parameter for establishing reservoir conditions, geological interpretation and drilling programs. Pore pressure prediction depends on information from various geophysical logs, seismic, and direct down-hole pressure measurements. However, a level of uncertainty accompan...

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Bibliographic Details

Main Authors:	Ahmed E. Radwan, David A. Wood, Ahmed A. Radwan
Format:	Artigo
Language:	Inglês
Published:	Elsevier 2022-12-01
Series:	Journal of Rock Mechanics and Geotechnical Engineering
Subjects:	Machine learning (ML) Pore pressure Overburden Well-log derived predictions Overpressure
Online Access:	http://www.sciencedirect.com/science/article/pii/S1674775522000555
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