Spatially constrained inversion of area covering datasets

A.V. Christiansen, E. Auken, N. Foged, K. Sørensen

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingspeer-review

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationNear Surface 2006 - 12th European Meeting of Environmental and Engineering Geophysics
Publication statusPublished - 2006
Event12th European Meeting of Environmental and Engineering Geophysics of the Near Surface Geoscience Division of EAGE, Near Surface 2006 - Helsinki, Finland
Duration: 4 Sep 20066 Sep 2006

Publication series

NameNear Surface 2006 - 12th European Meeting of Environmental and Engineering Geophysics

Conference

Conference12th European Meeting of Environmental and Engineering Geophysics of the Near Surface Geoscience Division of EAGE, Near Surface 2006
Country/TerritoryFinland
CityHelsinki
Period4/09/066/09/06

Programme Area

  • Programme Area 2: Water Resources

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