Publication Details

Reference Category Conference contributions
DOI / URL link
Title (Primary) Fully non-linear self-organizing inversion of cross-borehole tomographic data
Title (Secondary) Near Surface Geoscience 2015 - 21st European Meeting on Environmental and Engineering Geophysics, Turin, Italy, 6-10 September 2015
Author Paasche, H.
Year 2015
Department MET
Page From WE21A01
Language englisch
Abstract Geophysical model reconstruction by data inversion is usually ill-posed and suffers ambiguity due to
limited number and accuracy of the available observations. Here, we formulate a new concept for an
almost completely data-driven fully-nonlinear inversion to achieve an ensemble of different tomographic
models fitting the underlying data set equally well. Since we parameterize the model reconstruction area
using regular grids with grid cell dimensions not exceeding the spatial resolution of the tomographic data
set we can find models of any reasonable complexity. To avoid the finding of models characterized by
numerous anomalies below the spatial resolution limit of the data set we concurrently address a data misfit
objective and a model structure objective formulated in fuzzy domain. The final ensemble of models
addresses the data objective equally well but the model structure objective only to different degrees and
allows for the finding of model ensembles illustrating the tomographic reconstruction ambiguity
reasonably.
Persistent UFZ Identifier https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=16679
Paasche, H. (2015):
Fully non-linear self-organizing inversion of cross-borehole tomographic data
Near Surface Geoscience 2015 - 21st European Meeting on Environmental and Engineering Geophysics, Turin, Italy, 6-10 September 2015
European Association of Geoscientists and Engineers (EAGE), Houten, p. WE21A01