Joint inversion of seismic and electric data applied to 2D media

Abstract

Methods based on the seismic P-wave, seismic surface wave, and apparent resistivity are commonly used in the solution of several near-surface problems. However, the solution nonuniqueness and the intrinsic limitations of these methods can cause inconsistency in the final results. Dispersion curves of surface waves, P-wave traveltimes, and apparent-resistivity data were jointly inverted to obtain internally consistent and more reliable final model of P-and S-wave velocities and resistivity. A collection of 1D layered models was obtained by a deterministic jointinversion algorithm based on the laterally constrained inversion scheme. The three data sets were jointly inverted imposing the same structure and Poisson's ratio was introduced as a physical link between P-and S-wave velocities to better constrain the inversion. No physical link was imposed between the resistivity and the seismic velocities. The inversion algorithm was tested on synthetic data and then applied to a field case, where benchmark borehole data were available. The synthetic and field examples provided results in agreement with the true model and the existing geologic information, respectively.

Time-lapse monitoring of climate effects on earthworks using surface waves

“…In addition, joint inversion (Boiero and Socco, 2014) of different seismic data sets (such as SW and P-wave refraction data) would potentially provide a single, physically and spatially consistent seismic model. The inclusion of electrical resistivity measurements in the inversion scheme (Garofalo et al, 2015) would also likely be beneficial and would offer the possibility of linking a method inherently sensitive to temporal changes of moisture content (electrical resistivity tomography) to geophysical techniques more closely related to the mechanical behavior of the subsoil (seismic methods).…”

Petrophysical Joint Inversion Applied to Alpine Permafrost Field Sites to Image Subsurface Ice, Water, Air, and Rock Contents

“…Seismic and electrical methods have complementary sensitivities and are often combined in different ways (e.g., Zhang and Morgan, 1997;Gallardo and Meju, 2004;Garofalo et al, 2015;Ronczka et al, 2017). Carcione et al (2007) reviewed the cross-property relations between electrical conductivity and seismic velocity.…”

“…Zhang and Morgan (1997) can be counted among the first to develop joint inversion strategies for physically uncorrelated datasets (e.g., seismic velocities and electrical resistivities). Many modern joint inversion algorithms have been developed to improve the inversion results, reduce the uncertainties and incorporate a priori knowledge (e.g., Gallardo and Meju, 2004;Doetsch et al, 2010;Karaoulis et al, 2013;Garofalo et al, 2015;Linde and Doetsch, 2016;Hellman et al, 2017).…”

Uncertainty reduction through geologically conditioned petrophysical constraints in joint inversion

“…In the deterministic realm, Paasche and Tronicke (2007), Li (2012, 2013) and Lelièvre et al (2012) use clustering approaches to constrain the values of inverted properties. Garofalo et al (2015) use a physical relationship and impose similar layer geometry during joint inversion. Another strategy has been introduced and used by Hoversten et al (2006), Gao et al (2012b), Giraud et al (2013), and Liang et al (2016) who use constitutive equations linking petrophysical properties to physical properties to retrieve petrophysical properties.…”