Successful Leveraging of Human Visual System Modeling and Machine Learning in Computational Seismic Interpretation

Recorded On: 11/08/2017

In today’s growing complexity of seismic data, in both size and resolution, manual interpretation increasingly relies on computational seismic interpretation (CSI) for more efficient, accurate, and effective interpretation. This webinar will highlight our studies that have focused on leveraging perception and machine learning in creating a set of CSI algorithms and software tools.

This webinar is categorized under the Data Science and Engineering Analytics discipline.

Ghassan AlRegib

Professor, Georgia Institute of Technology

Prof. AlRegib is currently a professor in the School of Electrical and Computer Engineering at the Georgia Institute of Technology. He is the Director of the Multimedia and Sensors Lab (MSL) at Georgia Tech. In 2012, he was named the Director of Georgia Tech’s Center for Energy and Geo Processing (CeGP). He is a faculty member of the Center for Signal and Information Processing (CSIP). He also serves as the Director of Georgia Tech’s Initiatives and Programs in MENA. He has authored and co-authored more than 175 articles in international journals and conference proceedings. He has been issued five U.S. patents, two US patent applications, and several invention disclosures. He is a Senior Member of IEEE.

SPE Webinars are FREE to members courtesy of the


11/08/2017 at 9:30 AM (EST)   |  90 minutes
11/08/2017 at 9:30 AM (EST)   |  90 minutes
0.15 CEU credits  |  Certificate available
0.15 CEU credits  |  Certificate available