Unsupervised machine learning and multi-seismic attributes for fault and fracture network interpretation in the Kerry Field, Taranaki Basin, New Zealand

Abstract Unsupervised machine learning using an unsupervised vector quantization neural network (UVQ-NN) integrated with meta-geometrical attributes as a novel computation process as opposed to traditional methodologies is currently used effectively in the 3D seismic structural interpretation for hi...

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Bibliographic Details

Published in:	Geomechanics and Geophysics for Geo-Energy and Geo-Resources
Main Authors:	Amir Ismail, Ahmed A. Radwan, Mahmoud Leila, Ahmed Abdelmaksoud, Moamen Ali
Format:	Article
Language:	English
Published:	Springer 2023-09-01
Subjects:	Unsupervised neural network Geometrical attributes Automatic fault extraction Voxel connectivity filter Thinned fault likelihood
Online Access:	https://doi.org/10.1007/s40948-023-00646-9