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|
|Number of pages||5|
|State||Published - Aug 10 2019|
Bibliographical noteKAUST Repository Item: Exported on 2020-10-01
Acknowledged 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.