Abstract
We use surface-wave scattering in ambient-noise cross-correlations to image near-surface scatterers and major faults under the populated area of Long Beach, California under a dense geophone array. Images are computed using empirical Green's functions from ambient-noise cross-correlation, and therefore, we eliminate the need for prior velocity models and the costly modeling of surface-waves propagation. The scattered waves are inverted in the least-squares sense to map scatterers in the subsurface. Our results show a number of faults in the area including faults in the Newport-Inglewood fault zone (NIFZ).
| Original language | English (US) |
|---|---|
| Title of host publication | SEG Technical Program Expanded Abstracts 2019 |
| Publisher | Society of Exploration Geophysicists |
| Pages | 5398-5402 |
| Number of pages | 5 |
| DOIs | |
| State | Published - Aug 10 2019 |
Bibliographical note
KAUST Repository Item: Exported on 2020-10-01Acknowledged KAUST grant number(s): OCRF-2014-CRG3-62140387/ORS#2300
Acknowledgements: This publication is based upon work supported by the KAUST Office of Competitive Research Funds (OCRF) under Award No.OCRF-2014-CRG3-62140387/ORS#2300. For computer time, this research used the resources of the Supercomputing Laboratory at King Abdullah University of Science & Technology (KAUST) in Thuwal, Saudi Arabia. We thank Nodal Seismic and SignalHill for provided access the field data. AlTheyab thanks Saudi Aramco for sponsoring his graduate studies.