Seismic geomorphology is a technique based on pattern recognition of geologic features in subsurface seismic reflection data. While seismic geomorphology encompasses a myriad of fascinating structures, in this talk, Dr. Bedle will focus on deepwater channel systems, demonstrating how we can apply these advanced techniques. Including a primer on attribute analysis and machine learning, these methods will be discussed, demonstrating how detail seismic channel architecture can be visualized more clearly, improving our interpretation of the subsurface system.
Heather Bedle received a bachelor’s in physics from Wake Forest University and then worked as a systems engineer in the defense industry. She later received a master’s and then a doctorate from Northwestern University. After nine years of working with Chevron, she instructed at the University of Houston for two years and is now an assistant professor at the University of Oklahoma. As PI of the AASPI consortium, her primary research interests focus on resolving additional information in seismic reflection data using tools including attribute analysis, rock physics, and machine learning. More information on Dr. Bedle’s research can be found at http://mcee.ou.edu/aaspi/ and https://bedle.oucreate.com/