• English
    • polski
  • English 
    • English
    • polski
  • Login
View Item 
  •   DSpace Home
  • Institute of Geophysics, Polish Academy of Sciences
  • Department of Geophysical Imaging IG PAS
  • View Item
  •   DSpace Home
  • Institute of Geophysics, Polish Academy of Sciences
  • Department of Geophysical Imaging IG PAS
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Robust estimation of structural orientation parameters and 2D/3D local anisotropic Tikhonov regularization

Thumbnail
View/Open
main article (11.14Mb)
Date
2024-11
Author
Gholami, Ali
Gazzola, Silvia
Metadata
Show full item record
Abstract
Understanding the orientation of geologic structures is crucial for analyzing the complexity of the earths’ subsurface. For instance, information about geologic structure orientation can be incorporated into local anisotropic regularization methods as a valuable tool to stabilize the solution of inverse problems and produce geologically plausible solutions. We introduce a new variational method that uses the alternating direction method of multipliers within an alternating minimization scheme to jointly estimate orientation and model parameters in 2D and 3D inverse problems. Specifically, our approach adaptively integrates recovered information about structural orientation, enhancing the effectiveness of anisotropic Tikhonov regularization in recovering geophysical parameters. The paper also discusses the automatic tuning of algorithmic parameters to maximize the new method’s performance. Our algorithmis tested across diverse 2D and 3D examples, including structure-oriented denoising and trace interpolation. The results indicate that the algorithm is robust in solving the considered large and challenging problems, alongside efficiently estimating the associated tilt field in 2D cases and the dip, strike, and tilt fields in 3D cases. Synthetic and field examples show that our anisotropic regularization method produces a model with enhanced resolution and provides a more accurate representation of the true structures.
URI
https://dspace.igf.edu.pl/xmlui/handle/123456789/135
Collections
  • Department of Geophysical Imaging IG PAS

DSpace software copyright © 2002-2016  DuraSpace
Contact Us | Send Feedback
Theme by 
Atmire NV
 

 

Browse

All of DSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

My Account

LoginRegister

DSpace software copyright © 2002-2016  DuraSpace
Contact Us | Send Feedback
Theme by 
Atmire NV