Unsupervised seismic-facies classification using independent-component analysis
David Lubo-Robles, Kurt J. Marfurt · 2018
Seismic attributes are powerful tools that allow interpreters to make a more comprehensive and precise seismic interpretation. In this paper, we apply an unsupervised multi-attribute technique called Independent Component Analysis to reduce dimensionality and extract the most valuable information of multiple spectral magnitude components in order to make an unsupervised seismic facies classification of channel complexes located in the Moki A Formation, Taranaki Basin, New Zealand. Presentation Date: Tuesday, October 16, 2018 Start Time: 1:50:00 PM Location: 210A (Anaheim Convention Center) Presentation Type: Oral