TY - GEN
T1 - Spatially constrained inversion for quasi 3D modeling of AEM data
AU - Viezzoli, Andrea
AU - Christiansen, Anders Vest
AU - Auken, Esben
PY - 2008
Y1 - 2008
N2 - The spatially constrained inversion (SCI) is a robust methodology for quasi-3D modeling of geoelectrical and EM data of varying spatial density, using a 1D forward solution. It can be implemented with airborne or ground-based data, both in frequency and time domain. The airborne EM data here presented show how the SCI produces laterally smooth results with sharp layer boundaries that respect the 3D geological variations of layered settings. Information migrate horizontally through spatial constraints applied between nearest neighboring soundings, and allow to resolve layers that would be locally poorly resolved. The constraints are built using the Delaunay triangulation, which ensures automatic adaptation to data density variations. Data sets, models and spatial constraints are inverted as one system, producing layered sections with smooth horizontal variations. The SCI suppresses the elongated artifact commonly seen in horizontal maps (i.e., average resistivity, or saltwater boundary elevation maps) resulting from profile oriented data sets. Being an over-determined parameterized inversion problem, it produces a full sensitivity analysis of the output models, an essential tool for the evaluation of the results.
AB - The spatially constrained inversion (SCI) is a robust methodology for quasi-3D modeling of geoelectrical and EM data of varying spatial density, using a 1D forward solution. It can be implemented with airborne or ground-based data, both in frequency and time domain. The airborne EM data here presented show how the SCI produces laterally smooth results with sharp layer boundaries that respect the 3D geological variations of layered settings. Information migrate horizontally through spatial constraints applied between nearest neighboring soundings, and allow to resolve layers that would be locally poorly resolved. The constraints are built using the Delaunay triangulation, which ensures automatic adaptation to data density variations. Data sets, models and spatial constraints are inverted as one system, producing layered sections with smooth horizontal variations. The SCI suppresses the elongated artifact commonly seen in horizontal maps (i.e., average resistivity, or saltwater boundary elevation maps) resulting from profile oriented data sets. Being an over-determined parameterized inversion problem, it produces a full sensitivity analysis of the output models, an essential tool for the evaluation of the results.
UR - http://www.scopus.com/inward/record.url?scp=84865465410&partnerID=8YFLogxK
M3 - Conference article in proceedings
AN - SCOPUS:84865465410
SN - 9781605603001
T3 - Environmental and Engineering Geophysical Society - 21st Symposium on the Application of Geophysics to Engineering and Environmental Problems 2008
SP - 1422
EP - 1426
BT - Environmental and Engineering Geophysical Society - 21st Symposium on the Application of Geophysics to Engineering and Environmental Problems 2008
T2 - 21st Symposium on the Application of Geophysics to Engineering and Environmental Problems 2008
Y2 - 6 April 2008 through 10 April 2008
ER -