Quantitative imaging of water, ice and air in permafrost systems through petrophysical joint inversion of seismic refraction and electrical resistivity data

Quantitative estimation of pore fractions filled with liquid water, ice and air is crucial for a process-based understanding of permafrost and its hazard potential upon climate-induced degradation. Geophysical methods offer opportunities to image distributions of permafrost constituents in a non-inv...

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Bibliographic Details
Main Authors: Wagner, F.M., Mollaret, C., Günther, T., Kemna, A., Hauck, C.
Format: Article in Journal/Newspaper
Language:unknown
Published: Oxford : Oxford Univ. Press 2019
Subjects:
550
Ice
Online Access:https://dx.doi.org/10.34657/7076
https://oa.tib.eu/renate/handle/123456789/8035
id ftdatacite:10.34657/7076
record_format openpolar
spelling ftdatacite:10.34657/7076 2023-05-15T16:36:50+02:00 Quantitative imaging of water, ice and air in permafrost systems through petrophysical joint inversion of seismic refraction and electrical resistivity data Wagner, F.M. Mollaret, C. Günther, T. Kemna, A. Hauck, C. 2019 https://dx.doi.org/10.34657/7076 https://oa.tib.eu/renate/handle/123456789/8035 unknown Oxford : Oxford Univ. Press Creative Commons Attribution 4.0 International CC BY 4.0 Unported https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 CC-BY Electrical resistivity tomography ERT Hydrogeophysics Inverse theory Joint inversion Seismic tomography 550 article CreativeWork 2019 ftdatacite https://doi.org/10.34657/7076 2022-04-01T09:37:59Z Quantitative estimation of pore fractions filled with liquid water, ice and air is crucial for a process-based understanding of permafrost and its hazard potential upon climate-induced degradation. Geophysical methods offer opportunities to image distributions of permafrost constituents in a non-invasive manner. We present a method to jointly estimate the volumetric fractions of liquid water, ice, air and the rock matrix from seismic refraction and electrical resistivity data. Existing approaches rely on conventional inversions of both data sets and a suitable a priori estimate of the porosity distribution to transform velocity and resistivity models into estimates for the four-phase system, often leading to non-physical results. Based on two synthetic experiments and a field data set from an Alpine permafrost site (Schilthorn, Bernese Alps and Switzerland), it is demonstrated that the developed petrophysical joint inversion provides physically plausible solutions, even in the absence of prior porosity estimates. An assessment of the model covariance matrix for the coupled inverse problem reveals remaining petrophysical ambiguities, in particular between ice and rock matrix. Incorporation of petrophysical a priori information is demonstrated by penalizing ice occurrence within the first two meters of the subsurface where the measured borehole temperatures are positive. Joint inversion of the field data set reveals a shallow air-rich layer with high porosity on top of a lower-porosity subsurface with laterally varying ice and liquid water contents. Non-physical values (e.g. negative saturations) do not occur and estimated ice saturations of 0–50 per cent as well as liquid water saturations of 15–75 per cent are in agreement with the relatively warm borehole temperatures between −0.5 and 3 ° C. The presented method helps to improve quantification of water, ice and air from geophysical observations. Article in Journal/Newspaper Ice permafrost DataCite Metadata Store (German National Library of Science and Technology)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language unknown
topic Electrical resistivity tomography ERT
Hydrogeophysics
Inverse theory
Joint inversion
Seismic tomography
550
spellingShingle Electrical resistivity tomography ERT
Hydrogeophysics
Inverse theory
Joint inversion
Seismic tomography
550
Wagner, F.M.
Mollaret, C.
Günther, T.
Kemna, A.
Hauck, C.
Quantitative imaging of water, ice and air in permafrost systems through petrophysical joint inversion of seismic refraction and electrical resistivity data
topic_facet Electrical resistivity tomography ERT
Hydrogeophysics
Inverse theory
Joint inversion
Seismic tomography
550
description Quantitative estimation of pore fractions filled with liquid water, ice and air is crucial for a process-based understanding of permafrost and its hazard potential upon climate-induced degradation. Geophysical methods offer opportunities to image distributions of permafrost constituents in a non-invasive manner. We present a method to jointly estimate the volumetric fractions of liquid water, ice, air and the rock matrix from seismic refraction and electrical resistivity data. Existing approaches rely on conventional inversions of both data sets and a suitable a priori estimate of the porosity distribution to transform velocity and resistivity models into estimates for the four-phase system, often leading to non-physical results. Based on two synthetic experiments and a field data set from an Alpine permafrost site (Schilthorn, Bernese Alps and Switzerland), it is demonstrated that the developed petrophysical joint inversion provides physically plausible solutions, even in the absence of prior porosity estimates. An assessment of the model covariance matrix for the coupled inverse problem reveals remaining petrophysical ambiguities, in particular between ice and rock matrix. Incorporation of petrophysical a priori information is demonstrated by penalizing ice occurrence within the first two meters of the subsurface where the measured borehole temperatures are positive. Joint inversion of the field data set reveals a shallow air-rich layer with high porosity on top of a lower-porosity subsurface with laterally varying ice and liquid water contents. Non-physical values (e.g. negative saturations) do not occur and estimated ice saturations of 0–50 per cent as well as liquid water saturations of 15–75 per cent are in agreement with the relatively warm borehole temperatures between −0.5 and 3 ° C. The presented method helps to improve quantification of water, ice and air from geophysical observations.
format Article in Journal/Newspaper
author Wagner, F.M.
Mollaret, C.
Günther, T.
Kemna, A.
Hauck, C.
author_facet Wagner, F.M.
Mollaret, C.
Günther, T.
Kemna, A.
Hauck, C.
author_sort Wagner, F.M.
title Quantitative imaging of water, ice and air in permafrost systems through petrophysical joint inversion of seismic refraction and electrical resistivity data
title_short Quantitative imaging of water, ice and air in permafrost systems through petrophysical joint inversion of seismic refraction and electrical resistivity data
title_full Quantitative imaging of water, ice and air in permafrost systems through petrophysical joint inversion of seismic refraction and electrical resistivity data
title_fullStr Quantitative imaging of water, ice and air in permafrost systems through petrophysical joint inversion of seismic refraction and electrical resistivity data
title_full_unstemmed Quantitative imaging of water, ice and air in permafrost systems through petrophysical joint inversion of seismic refraction and electrical resistivity data
title_sort quantitative imaging of water, ice and air in permafrost systems through petrophysical joint inversion of seismic refraction and electrical resistivity data
publisher Oxford : Oxford Univ. Press
publishDate 2019
url https://dx.doi.org/10.34657/7076
https://oa.tib.eu/renate/handle/123456789/8035
genre Ice
permafrost
genre_facet Ice
permafrost
op_rights Creative Commons Attribution 4.0 International
CC BY 4.0 Unported
https://creativecommons.org/licenses/by/4.0/legalcode
cc-by-4.0
op_rightsnorm CC-BY
op_doi https://doi.org/10.34657/7076
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