Project Info

Full-waveform imaging with different data types: Comparing strain vs. displacement

Jeffrey Shragge | jshragge@mines.edu

Seismology is a data-driven science. In practice, however, it is often challenging to have a good data coverage to obtain high-resolution images everywhere, i.e., lack of seismic instruments in oceans, sparsity of coverage in volcanic areas, etc. DAS (Distributed Acoustic Sensing) is promising to stream continuous data through fiber optics and has strong potential to extend the current technology to address the data coverage problem in seismology at all scales. In this project, we will conduct 3D synthetic numerical experiments to better understand the potential of using strain data from DAS in seismic imaging with various source-data configurations, i.e., recording the full strain tensor everywhere or using a spatially limited full strain tensor, etc. We will then compare the results to those from classical three-component displacement seismograms recorded with similar source-receiver geometries and using realistic source-station coverages. Furthermore, we will investigate the effect of different seismic sources such as earthquakes, microseisms/tremors and active sources.

More Information

Bozdağ, E., Peter, D., Lefebvre, M., Komatitsch, D., Tromp, J., Hill, J., Podhorszki, N. & Pugmire, D., 2016. Global Adjoint Tomography: First-generation model, Geophys. J. Int., 207(3), 1739-1766, doi: 10.1093/gji/ggw356.

Grand Engineering:Not applicable