TY - GEN
T1 - Spatially constrained inversion of area covering datasets
AU - Christiansen, A.V.
AU - Auken, E.
AU - Foged, N.
AU - Sørensen, K.
PY - 2006
Y1 - 2006
N2 - We present a new inversion methodology for large areacovering datasets. Many new data acquisition systems are capable of covering large areas with densely sampled data sets. However, it is not possible to apply 2D or 3D inversion algorithms on a routine basis because of computational problems. We propose a Spatially Constrained Inversion (SCI) inversion scheme using a local 1D model description ensuring fast computation times. Information on the geological variability is included as constraints between model parameters applied on an alltoall basis. The 1D formulation means that the SCI works best on a subhorizontal layered geology. To ensure flexibility even for very large surveys we subdivide the area in hexagons, which are independently inverted and afterwards stitched together. Continuity over hexagon edges is ensured by applying an overlap between neighbouring hexagons. A field example demonstrates that the SCI enables better resolution of otherwise poorly resolved model parameters. Lineations observed in lineinversion are removed.
AB - We present a new inversion methodology for large areacovering datasets. Many new data acquisition systems are capable of covering large areas with densely sampled data sets. However, it is not possible to apply 2D or 3D inversion algorithms on a routine basis because of computational problems. We propose a Spatially Constrained Inversion (SCI) inversion scheme using a local 1D model description ensuring fast computation times. Information on the geological variability is included as constraints between model parameters applied on an alltoall basis. The 1D formulation means that the SCI works best on a subhorizontal layered geology. To ensure flexibility even for very large surveys we subdivide the area in hexagons, which are independently inverted and afterwards stitched together. Continuity over hexagon edges is ensured by applying an overlap between neighbouring hexagons. A field example demonstrates that the SCI enables better resolution of otherwise poorly resolved model parameters. Lineations observed in lineinversion are removed.
UR - http://www.scopus.com/inward/record.url?scp=84900618427&partnerID=8YFLogxK
M3 - Conference article in proceedings
AN - SCOPUS:84900618427
SN - 9073781620
SN - 9789073781627
T3 - Near Surface 2006 - 12th European Meeting of Environmental and Engineering Geophysics
BT - Near Surface 2006 - 12th European Meeting of Environmental and Engineering Geophysics
T2 - 12th European Meeting of Environmental and Engineering Geophysics of the Near Surface Geoscience Division of EAGE, Near Surface 2006
Y2 - 4 September 2006 through 6 September 2006
ER -