Reference : How to incorporate prior information in geophysical inverse problems: deterministic and ...
Scientific congresses and symposiums : Paper published in a book
Engineering, computing & technology : Geological, petroleum & mining engineering
http://hdl.handle.net/2268/98862
How to incorporate prior information in geophysical inverse problems: deterministic and geostatistical approaches.
English
[fr] Comment incorporer de l'information a priori dans les problèmes géophysiques inverses : approches déterministes et géostatistiques
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 >]
Martin, Roland [University of Bonn > > > >]
Kemna, Andreas [University of Bonn > > > >]
Robert, Tanguy [Université de Liège - ULg > Département Argenco : Secteur GEO3 > Géophysique appliquée >]
Nguyen, Frédéric mailto [Université de Liège - ULg > Département Argenco : Secteur GEO3 > Géophysique appliquée >]
13-Sep-2011
EarthDoc - Near Surface 2011 - 17th European Meeting of Environmental and Engineering Geophysics
Yes
No
International
Near Surface 2011 - 17th European Meeting of Environmental and Engineering Geophysics
de 12 septembre au 14 septembre 2011
EAGE - European Association of Geoscientists & Engineers
Leicester
United Kingdom
[en] Inversion ; a priori information ; geostatistic
[en] Many geophysical inverse problems are ill-posed leading to non-uniqueness of the solution. It is thus important to reduce the amount of mathematical solutions to more geologically plausible models by regularizing the inverse problem and incorporating all available prior information in the inversion process. We compare three different ways to go beyond standard Occam’s inversion for electrical resistivity tomography (ERT) using electromagnetic logging data in the context of salt water infiltration: a simple reference model, a structural constraint and a geostatistical constraint based on a vertical correlation length. Results with the traditional smoothness constraint yield small contrasts of resistivity, far from the reality revealed by borehole measurements. Incorporating prior information from boreholes clearly improves the misfit with logging data. If a good reference model can always be used, it can lead to misinterpretation if its weight is too strong. When the computation of the correlation length is possible, the geostatistical inversion gives satisfactory results everywhere in the section. In this specific case, the geostatistical approach seems to be a more robust way to incorporate prior information. The structural constraint seems to be more indicated when integrating information from other geophysical methods such as GPR or seismic.
Université de Liège - Département ArGEnCo - GEO³ - Geophysique Appliquée
Fonds de la Recherche Scientifique (Communauté française de Belgique) - F.R.S.-FNRS
Researchers ; Professionals ; Students
http://hdl.handle.net/2268/98862
EarthDoc is an online publication of EAGE.

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