Abstract

Seismic facies identification and analysis with regards to geological environment is one of the important tasks in geological and geophysical studies. Pattern identification through seismic attributes or seismic waveform classification provides insight into facies analysis. Information from different seismic attributes can be integrated using the data-driven unsupervised clustering algorithms. It