Lossy Compression in Seismology - Improving Efficiency and Speed

Explore the latest advancements in seismic imaging and data compression techniques in this 58-minute webinar from the SIAM Geosciences Webinar Series. Discover how lossy compression methods can streamline seismology processes, making them easier and faster, albeit with a slight trade-off in accuracy. Learn about the challenges posed by vast datasets generated from continuous seismic wavefield recording and large sensor arrays in environmental and critical zone studies. Delve into various compression techniques, including 1D and 2D wavelet decompositions, low-rank singular value decompositions (SVD), and zfp compression. Gain insights into open-source software developed to evaluate trade-offs between microseismic event detectability, event time determination accuracy, and compression ratios. Understand how compressed data forms, particularly wavelet and SVD compressed data, enable faster analysis without decompression, optimizing data processing workflows in seismology.

How Lossy Compression Makes Seismology Easier and Faster with Eileen Martin