Seismic data interpretation using machine learning techniques

Machine learning techniques can be used to improve our understanding of seismic data. Supervised and unsupervised learning methods can be used to detect geological features from seismic data. As an example, I studied one of the Iranian oilfields to detect the channels and faults.
The results of this study are presented in the follwoing links.

Channel characterization using support vector machine (SVM)
Channel detection using unsupervised learning techniques