Publication Name: AEGC 2021
Authors: Nuwan Suriyaarachchi, Jeremie Giraud, Hoel Seille, Mark Lindsay, Vitaliy Ogarko, Lachlan Hennessy, Mark Jessell
Date Published: September 2021
Number of Pages: 4
Abstract:
Magnetotelluric (MT) and the passive seismic Horizontal to Vertical Spectral Ratio (HVSR) methods are commonly used to characterize cover thickness. While MT is sensitive to resistivity contrasts in the subsurface, the MT data inversion process is affected by non-uniqueness, noise, and sometimes sparsely sampled data, all which tend to increase uncertainty in the inverted models. Likewise, HVSR models are also affected by uncertainty. In this study, we test a new approach to exploit the complementarity between HVSR and MT modelling, using structural information from HSVR to reduce the uncertainty on the cover thickness recovered using MT data inversion.