Tech Lunch: Building a Geological Model for Synthetic Seismic Data in an Area of Complex Surface Volcanics - May 19th
Online Only, you must pre-register to receive access instructions.
NOTE: You Must Be Logged In to Register.
Speaker: Elizabeth L'Heureux, BP
Co-Author: Oleg Adamovich, BP
Eastern Siberia is characterized by Permian/Triassic age volcanic activity, resulting in an area of flood basalts including some channelization and pyroclastic tuff material. In order to understand how best to acquire and process seismic data in such conditions, we built a detailed geological model representative of Eastern Siberia and generated a 3D hybrid visco-acoustic/elastic synthetic seismic dataset with fine sampling. To generate the data, we had to balance algorithmic design, our computational capability, and the need for highly contrasting rock properties to produce the right levels of wavefield scattering and noise. The result was a highly realistic synthetic dataset comparable to the real data, and which will be used to test acquisition design and processing workflows to improve the quality of future field data.
Speaker Biography: Elizabeth L'Heureux, BP
Elizabeth L’Heureux received a B.Sc. in Physics from McGill University in 2002 and a Ph.D. in Geophysics from the University of Toronto in 2007. She joined bp as a research geophysicist in 2007, working in the Seismic Imaging and Upstream Technology groups. She specializes in seismic modeling and acquisition design, particularly around elastic rock properties and understanding wave propagation through complex geological formations. Her 2017 abstract on modeling seismic propagation through permafrost earned an Honorable Mention for best paper at the SEG’s annual meeting. Her current role is as manager for the High Performance Computing team in Houston.
**Access information will be distributed before the meeting.
** Please be aware that ALL registrations must go through 'Checkout', even if your total is zero. Registration is not confirmed until you complete the checkout process.