Bayesian inversion of joint SH seismic and seismoelectric data to infer glacier system properties

Macchioli‐Grande, Franco; Zyserman, Fabio; Monachesi, Leonardo Bruno; Jouniaux, Laurence; Rosas‐Carbajal, Marina

doi:10.1111/1365-2478.12940

Cited by 10 publications

(2 citation statements)

References 88 publications

(102 reference statements)

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“…density, water content, etc. ; Endres and others, 2009; Booth and others, 2012; Peters and others, 2012; Macchioli-Grande and others, 2020), temperature from changes in anisotropy (e.g. Lutz and others, 2019; Llorens and others, 2020) and characterise the properties of snow and firn from seismic data (e.g.…”

Section: Introductionmentioning

confidence: 99%

Characterising ice slabs in firn using seismic full waveform inversion, a sensitivity study

et al. 2023

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The density structure of firn has implications for hydrological and climate modelling, and ice-shelf stability. The structure of firn can be evaluated from depth models of seismic velocity, widely obtained with Herglotz–Wiechert inversion (HWI), an approach that considers the slowness of refracted seismic arrivals. However, HWI is strictly appropriate only for steady-state firn profiles and the inversion accuracy can be compromised where firn contains ice layers. In these cases, full waveform inversion (FWI) may yield more success than HWI. FWI extends HWI capabilities by considering the full seismic waveform and incorporates reflected arrivals. Using synthetic firn density profiles, assuming both steady- and non-steady-state accumulation, we show that FWI outperforms HWI for detecting ice slab boundaries (5–80 m thick, 5–80 m deep) and velocity anomalies within firn. FWI can detect slabs thicker than one wavelength (here, 20 m, assuming a maximum frequency of 60 Hz) but requires the starting velocity model to be accurate to ±2.5%. We recommend for field practice that the shallowest layers of velocity models are constrained with ground-truth data. Nonetheless, FWI shows advantages over established methods, and should be considered when the characterisation of firn ice slabs is the goal of the seismic survey.

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Section: Introductionmentioning

confidence: 99%

Characterising ice slabs in firn using seismic full waveform inversion, a sensitivity study

et al. 2023

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“…In [8], the author derived a Hölder stability estimate to the inverse problem of recovery of the electric parameters and the coupling coefficient for the electroseismic model in oil exploration. The application of electroseismic and seismoelectric phenomenon plays an outstanding role in oil and gas exploration [61], in [44], the properties of glacier system are studied by seismoelectric method. Since seismoelectric and electroseismic interface responses resulting from the electrokinetic effect are useful to study the properties of subsurface medium, it is valuable to conduct experimental research on potential applications in geophysical exploration and earthquake precursor monitoring [7,34,43,47,53,54,62].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Electroseismic Conversion in an Unbounded Rough Surface

ZHANG

2022

Preprint

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Electroseismics is a procedure that uses the conversion of electromagnetic to seismic waves in a fluid-saturated porous rock due to the electrokinetic phenomenon. This paper concerns the time-domain analysis of such an electroseismic conversion problem in an unbounded structure in three dimensions. Using an exact transparent boundary condition and suitable interface conditions, we study an initial- boundary value problem for the coupling of Maxwell’s equations and the Biot’s equations. The well-posedness and stability are established for the reduced problem. Our proof is based on the method of energy, the Lax-Milgram theorem, and the inversion theorem of the Laplace transform. Moreover, a priori estimates with explicit dependence on the time are achieved for the quantities of electric filed and solid-fluid fields by taking special test functions for the time-domain variational problem.

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Numerical Analysis of Seismoelectric Conversion in Stratified Low-Permeability Porous Rocks

Zheng,

Ren,

Huang

et al. 2023

Pure Appl. Geophys.

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Bayesian inversion of joint SH seismic and seismoelectric data to infer glacier system properties

Cited by 10 publications

References 88 publications

Characterising ice slabs in firn using seismic full waveform inversion, a sensitivity study

Characterising ice slabs in firn using seismic full waveform inversion, a sensitivity study

Analysis of Electroseismic Conversion in an Unbounded Rough Surface

Numerical Analysis of Seismoelectric Conversion in Stratified Low-Permeability Porous Rocks

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