Reference : Inversion of multi-temporal geoelectrical data sets: insights from several case studies
Scientific congresses and symposiums : Unpublished conference
Engineering, computing & technology : Geological, petroleum & mining engineering
http://hdl.handle.net/2268/105204
Inversion of multi-temporal geoelectrical data sets: insights from several case studies
English
Nguyen, Frédéric mailto [Université de Liège - ULg > Département Argenco : Secteur GEO3 > Géophysique appliquée >]
Kemna, Andreas mailto [University of Bonn > Steinmann-Institute > Geodynamics / Geophysics > >]
Robert, Tanguy [Université de Liège - ULg > Département Argenco : Secteur GEO3 > Géophysique appliquée >]
Hermans, Thomas mailto [Université de Liège - ULg > Département Argenco : Secteur GEO3 > Géophysique appliquée >]
Caterina, David mailto [Université de Liège - ULg > Département Argenco : Secteur GEO3 > Géophysique appliquée >]
Flores-Orozco, Adrian mailto [University of Bonn > Steinmann-Institute > Geodynamics / Geophysics > >]
Dec-2011
No
No
International
1st International Workshop on Geoelectrical Monitoring - GELMON 2011
from 30-11-2011 to 02-12-2011
Geological Survey of Austria
Vienna
Austria
[en] Inversion ; Time-lapse ; Error characterization
[en] Time-lapse inversion of geoelectrical data is increasingly growing as remote monitoring systems
are being used in more applications such as seawater intrusions, landslides, bioremediation of contaminated sites, landfill operations, shallow geothermal systems, or water resources.
To date, several inversion strategies exist for taking into account the temporal dimension of the data. Among the most used ones are the independent inversion of multi-temporal data sets, the difference inversion, the temporally-constrained inversion, and the more recent process-based
inversion. The success of a particular time-lapse inversion scheme depends on the validity of several assumptions made by these inversion schemes. Difference inversion schemes generally
assume that part of the noise contained in the data cancels out when working with temporal data
differences. Process-based inversion requires a more advanced knowledge of the system prior the
inversion. Temporally-constrained inversion on the other hand assumes that the changes are
localized and minor. We show in this paper using data sets with different time and spatial scales,
and with different degrees of geological complexity and resistivity contrasts, that the particular
success of a time-lapse inversion scheme is highly dependent on the temporal behaviour of the
noise estimation in the time-lapse data set and of the model-dependent resolution pattern of the
survey. We attempt to provide guidelines for successful quantitative interpretation of time-lapse
data sets whenever possible.
Université de Liège - Département ArGEnCo - GEO³ - Geophysique Appliquée
Fonds pour la formation à la Recherche dans l'Industrie et dans l'Agriculture (Communauté française de Belgique) - FRIA ; Fonds de la Recherche Scientifique (Communauté française de Belgique) - F.R.S.-FNRS
Identification, caractérisation et suivi géophysique des écoulements préférentiels des eaux souterraines en milieu fracturé
Researchers ; Professionals ; Students
http://hdl.handle.net/2268/105204
http://www.geologie.ac.at/pdf/Berichte_93

File(s) associated to this reference

Fulltext file(s):

FileCommentaryVersionSizeAccess
Open access
2012_Berichte_93.pdfPublisher postprint12.44 MBView/Open

Bookmark and Share SFX Query

All documents in ORBi are protected by a user license.