1887

Abstract

Summary

A subsurface volume that can be reliably interpreted in terms of geologically relevant parameters is a desirable outcome from depth inversion workflows. Geophysical data are often inaccurate and incomplete, the inverse problem is commonly non-unique, and constraints are usually required to recover useful output models.

We introduce a novel application of the established cross-gradient operator to incorporate surface or subsurface geological and other attribute measurements in a data-driven workflow, delivering a model consistent with all the available information.

Two field data examples are presented: in the first we constrain an airborne electromagnetic inversion with surface geology observations (dip and strike); secondly we employ a seismic volume to constrain a marine controlled-source electromagnetic inversion, where a structure tensor operator is used to derive the directional information.

Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.201700849
2017-06-12
2024-04-19
Loading full text...

Full text loading...

References

  1. Gallardo, L. A. and Meju, M. A.
    , 2003, Characterization of heterogeneous near-surface materials by joint 2D inversion of dc resistivity and seismic data. Geophys. Res. Lett., 30, 1658.
    [Google Scholar]
  2. Langenberg, C.W., and LeDrew, J.
    , 2001, Geological Map: Coal Valley, NTS Mapsheet 83F/2, 1:50,000 map with cross sections. Alberta Geological SurveyMap 237.
    [Google Scholar]
  3. Scholl, C., Neumann, J., and Watts, M.D.
    , 2015, Geosteered 3D Inversion of AEM Data in Rugged Terrain, 1st European Airborne EM Workshop, Turin, Italy.
    [Google Scholar]
  4. Scholl, C., Neumann, J., Watts, M.D., Hallinan, S.E. and Mulè, S.
    , 2016, Geologically constrained 2D and 3D airborne EM inversion through cross-gradient regularization and multi-grid efficiency. Extended abstracts ASEG-PESA 2016 meeting.
    [Google Scholar]
  5. Zhou, J., Revil, A., Karaoulis, M., Hale, D., Doetsch, J., Cuttler, S.
    , 2014, Image-guided inversion of electrical resistivity data. Geophys J Int. 197 (1), 292–309.
    [Google Scholar]
http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201700849
Loading
/content/papers/10.3997/2214-4609.201700849
Loading

Data & Media loading...

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error