DSSS: Discovering and Understanding Seismic Data Patterns
- Who: Sergey Fomel, Ph.D., University of Texas at Austin
- What: Download the file (pdf)
- Where: Building B15, Room 253
- When: 10:30 am to 12:0 noon, October 7, 2011
- Why: About the Distinguished Scientist Seminar Series
More Information: Associate Professor, University of Texas at Austin, with a joint appointment between the Bureau of Economic Geology and the Department of Geological Sciences. Sergey received a Ph.D. in Geophysics from Stanford University in 2001 and worked previously at the Russian Institute of Geophysics and the Lawrence Berkeley National Laboratory. He received the Conrad Schlumberger Award from the European Association of Geoscientists and Engineers in 2011 and the Karcher Award from the Society of Exploration Geophysicists in 2001. He is a project lead of Madagascar, which is an open source software package for scientific analysis of large digital datasets such as those occurring in geophysics.
Abstract:
Patterns are predictable parts of data. I explore patterns present in seismic reflection data and their use in extracting information about the Earth’s subsurface. Geometrical patterns relate to the structure of geological horizons. Identifying them allows us to separate the effect of reflection, which is caused by major horizons, from the effect of diffraction, which is caused by small objects such as faults, fractures, and channels. Patterns related to data repeatability lead to efficient methods of seismic imaging. Both kinds of patterns are useful for data compression, which finds numerous applications in data analysis tasks related to subsurface exploration and monitoring.
