1887

Abstract

Summary

Geophysical joint inversion requires inter-domain regularization that can be implemented based on the structural or on the property similarity measures of the geophysical models we want to link in the inverse problem. Structural regularization can be achieved through cross-gradients or summative gradients. Summative gradients provide a stronger type of constraint, while cross-gradients are generally more stable. Property regularization can be obtained by using physical relations derived from the analysis of experimental data. This approach is very powerful but requires strong a-priori information. We present a strong and stable formulation of the joint inversion of multiple geophysical data subject to both structural and property inter-domain regularizations. The effectiveness of the approach is demonstrated by the inversion of seismic and transient electromagnetics data generated from a complex near-surface model. We show that geophysical joint inversion with combined inter-domain regularization improves reconstruction of the true model parameter distribution, when compared to a standard tomographic approach, or when structure or property regularizations are used separately in joint inversion.

Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.201800953
2018-06-11
2024-03-28
Loading full text...

Full text loading...

References

  1. Colombo, D., Mantovani, M., De Stefano, M., Garrad, D. and Al Lawati, H.
    [2007] Simultaneous joint inversion of seismic and gravity data for long offset pre-stack depth migration in northern Oman. CSPG CSEG Convention, 191–195.
    [Google Scholar]
  2. Colombo, D., McNeice, G. W., Rovetta, D., Sandoval-Curiel, E., Turkoglu, E. and Sena, A.
    [2016] High-resolution velocity modeling by seismic-airborne TEM joint inversion: A new perspective for near-surface characterization. The Leading Edge, 35, 977–985.
    [Google Scholar]
  3. Colombo, D. and Keho, T.
    [2010] The non-seismic data and joint inversion strategy for the near surface solution in Saudi Arabia. 80th Annual International Mtg, SEG Technical Program Expanded Abstracts, 1934–1938.
    [Google Scholar]
  4. Doetsch, J., Linde, N., Coscia, I., Greenhalgh, S. A. and Green, A. G.
    [2010] Zonation for 3D acquifer characterization based on joint inversion of multimethod crosshole geophysical data. Geophysics, 75, G53–G64.
    [Google Scholar]
  5. Gallardo, L. A. and Meju, M. A.
    [2004] Joint two-dimensional DC resistivity and seismic travel time inversion with cross-gradients constraints. J. Geophys. Res.-Solid Earth, 109, B03311.
    [Google Scholar]
  6. Molodtsov, D., Colombo, D., Roslov, Y. V., Troyan, V. N. and Kashtan, B. M.
    [2015] Comparison of structure constraints for seismic-MT joint inversion in a subsalt imaging problem. Saint Petersburg State University Bulletin, 4, 230–236.
    [Google Scholar]
  7. Oldenburg, D. W. and Li, Y.
    [1994] Subspace linear inverse method. Inverse Problems, 10, 915–935.
    [Google Scholar]
  8. Rovetta, D., Colombo, D. and McNeice, G. W.
    [2013] Spatially constrained transient EM inversion for near surface characterization in Saudi Arabia. 83rd Annual International Mtg, SEG Technical Program Expanded Abstracts, 733–738.
    [Google Scholar]
  9. Tarantola, A.
    [1987] Inverse Problem Theory. Siam.
    [Google Scholar]
http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201800953
Loading
/content/papers/10.3997/2214-4609.201800953
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