1887

Abstract

Summary

We present a new method and an algorithm for joint inversions of the multiphysics data using a joint minimum entropy stabilizer. By minimizing this stabilizing functional we decrease the uncertainty in the model parameters distribution, thus reducing the nonuniqueness and enhancing a similarity between different types of model parameters. We also introduce a practical approach to joint minimum entropy inversion based on the re-weighted regularized conjugate gradient method. The joint inversion approach developed in the paper (1) promotes strong structural coupling between different geophysical properties; (2) enforces sharp boundaries of the anomalous bodies; and (3) does not introduce coupling artifacts where the models decouple.

© EAGE Publications BV
Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.202572081
2025-05-13
2026-02-10

  • From This Site

    /content/papers/10.3997/2214-4609.202572081
    dcterms_title,dcterms_subject,pub_keyword
    -contentType:Journal -contentType:Contributor -contentType:Concept -contentType:Institution
    10
    5
Loading full text...

Full text loading...

References

  1. Amato, U. and Hughes, W. [1991] Maximum entropy regularization of Fredholm integral equations of the first kind. Inverse Problems, 7(6), 793.
     [Google Scholar]
  2. de C.Velho, H.F. and Ramos, F.M. [1997] Numerical Inversion of Two-dimensional Geoelectric Conductivity Distributions from Magnetotelluric Data. Brazilian Journal of Geophysics, 15(2), 133–144.
     [Google Scholar]
  3. Cover, T.M. and Thomas, J.A. [2005] Differential Entropy, chap. 8. John Wiley and Sons, Ltd, 243–259.
     [Google Scholar]
  4. Kopeć, S. [1991] Properties of maximum entropy approximate solutions to Fredholm integral equations. Journal of Mathematical Physics, 32(5), 1269–1272.
     [Google Scholar]
  5. Lin, W. and Zhdanov, M.S. [2018] Joint multinary inversion of gravity and magnetic data using Gramian constraints. Geophysical Journal International, 215(3), 1540–1557.
     [Google Scholar]
  6. Shannon, C.E. [1948] A Mathematical Theory of Communication. Bell System Technical Journal, 27(3), 379–423.
     [Google Scholar]
  7. Tarantola, A. [1987] Inverse problem theory: Methods for data fitting and model parameter estimation. Elsevier Science Pub. Co. Inc., New York, NY.
     [Google Scholar]
/content/papers/10.3997/2214-4609.202572081
Loading
Joint Inversion of Multi-physics Data Using Minimum Entropy Functionals
Conference Proceedings 2025, 1 (2025); https://doi.org/10.3997/2214-4609.202572081
/content/papers/10.3997/2214-4609.202572081
/content/papers/10.3997/2214-4609.202572081
Loading

Data & Media loading...

Most Cited This Month Most Cited RSS feed

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