EPISODE · Nov 12, 2020 · 21 MIN
95: Cutting edge methods to utilize distributed acoustic sensing
from Seismic Soundoff
In this episode, host Andrew Geary speaks with Ariel Lellouch and Tieyuan Zhu on distributed acoustic sensing (DAS), the featured special section in November's The Leading Edge. Ariel and Tieyuan highlight new developments in algorithms impacting microseismic, new findings for hydraulic fracturing, and discuss their disagreement for the current rate the geophysics industry is adopting and utilizing DAS. This is an exciting conversation on technology that has a wide range of applications for geophysics. Hear the latest in research in 20 minutes! Visit https://seg.org/podcast for the complete show notes and links to this month's special section on smart city geophysics. BIOGRAPHIES Ariel Lellouch is a research geoscientist and post-doc at Stanford Exploration Project. He is passionate about seismic wave propagation, and more importantly, what we can infer from these waves regarding subsurface properties. Currently, he's working on applications of DAS data to all sorts of geophysical problems: properties of guided waves, earthquake seismology, microseismic monitoring, and more. Tieyuan Zhu obtained a Bachelor's degree from China University of Geosciences (2005) and an M.S. degree from the Chinese Academy of Sciences (2008) and a Ph.D. degree in Geophysics from Stanford University (2014). His main research interests are in seismic attenuation, true-amplitude seismic imaging and inversion, time-reversal theory, and carbon dioxide monitoring. He is a recipient of a Jackson Distinguished Postdoctoral Fellowship (2014-2016) from the University of Texas at Austin. He is also a recipient of the award of Best Paper Presented by a student at the SEG 2013 and the J. Clarence Karcher Award from SEG 2018. CREDITS Original music by Zach Bridges. This episode was hosted, edited, and produced by Andrew Geary at 51 features, LLC. Thank you to the SEG podcast team: Ted Bakamjian, Jennifer Crockett, Ally McGinnis, and Mick Swiney.
What this episode covers
In this episode, host Andrew Geary speaks with Ariel Lellouch and Tieyuan Zhu on distributed acoustic sensing (DAS), the featured special section in November's The Leading Edge. Ariel and Tieyuan highlight new developments in algorithms impacting microseismic, new findings for hydraulic fracturing, and discuss their disagreement for the current rate the geophysics industry is adopting and utilizing DAS. This is an exciting conversation on technology that has a wide range of applications for geophysics. Hear the latest in research in 20 minutes! Visit https://seg.org/podcast for the complete show notes and links to this month's special section on smart city geophysics. BIOGRAPHIES Ariel Lellouch is a research geoscientist and post-doc at Stanford Exploration Project. He is passionate about seismic wave propagation, and more importantly, what we can infer from these waves regarding subsurface properties. Currently, he's working on applications of DAS data to all sorts of geophysical problems: properties of guided waves, earthquake seismology, microseismic monitoring, and more. Tieyuan Zhu obtained a Bachelor's degree from China University of Geosciences (2005) and an M.S. degree from the Chinese Academy of Sciences (2008) and a Ph.D. degree in Geophysics from Stanford University (2014). His main research interests are in seismic attenuation, true-amplitude seismic imaging and inversion, time-reversal theory, and carbon dioxide monitoring. He is a recipient of a Jackson Distinguished Postdoctoral Fellowship (2014-2016) from the University of Texas at Austin. He is also a recipient of the award of Best Paper Presented by a student at the SEG 2013 and the J. Clarence Karcher Award from SEG 2018. CREDITS Original music by Zach Bridges. This episode was hosted, edited, and produced by Andrew Geary at 51 features, LLC. Thank you to the SEG podcast team: Ted Bakamjian, Jennifer Crockett, Ally McGinnis, and Mick Swiney.
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95: Cutting edge methods to utilize distributed acoustic sensing
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