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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Main Authors: Wagner, F.M., Mollaret, C., Günther, T., Kemna, A., Hauck, C.
Format: Article in Journal/Newspaper
Language:English
Published: Oxford : Oxford Univ. Press 2019
Subjects:
Ice
Online Access:https://oa.tib.eu/renate/handle/123456789/8035
https://doi.org/10.34657/7076
id fttibhannoverren:oai:oa.tib.eu:123456789/8035
record_format openpolar
spelling fttibhannoverren:oai:oa.tib.eu:123456789/8035 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 application/pdf https://oa.tib.eu/renate/handle/123456789/8035 https://doi.org/10.34657/7076 eng eng Oxford : Oxford Univ. Press ESSN:1365-246X DOI:https://doi.org/10.1093/gji/ggz402 https://oa.tib.eu/renate/handle/123456789/8035 https://doi.org/10.34657/7076 CC BY 4.0 Unported https://creativecommons.org/licenses/by/4.0/ frei zugänglich CC-BY Geophysical journal international 2019 (2019), Nr. 3 Electrical resistivity tomography (ERT) Hydrogeophysics Inverse theory Joint inversion Seismic tomography ddc:550 status-type:publishedVersion doc-type:article doc-type:Text 2019 fttibhannoverren https://doi.org/10.34657/7076 https://doi.org/10.1093/gji/ggz402 2022-07-25T16:18:08Z 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 Renate - Repositorium für Naturwissenschaften und Technik (TIB Hannover)
institution Open Polar
collection Renate - Repositorium für Naturwissenschaften und Technik (TIB Hannover)
op_collection_id fttibhannoverren
language English
topic Electrical resistivity tomography (ERT)
Hydrogeophysics
Inverse theory
Joint inversion
Seismic tomography
ddc:550
spellingShingle Electrical resistivity tomography (ERT)
Hydrogeophysics
Inverse theory
Joint inversion
Seismic tomography
ddc: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
ddc: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://oa.tib.eu/renate/handle/123456789/8035
https://doi.org/10.34657/7076
genre Ice
permafrost
genre_facet Ice
permafrost
op_source Geophysical journal international 2019 (2019), Nr. 3
op_relation ESSN:1365-246X
DOI:https://doi.org/10.1093/gji/ggz402
https://oa.tib.eu/renate/handle/123456789/8035
https://doi.org/10.34657/7076
op_rights CC BY 4.0 Unported
https://creativecommons.org/licenses/by/4.0/
frei zugänglich
op_rightsnorm CC-BY
op_doi https://doi.org/10.34657/7076
https://doi.org/10.1093/gji/ggz402
_version_ 1766027162929856512