Description

The χ[superscript 2] principle and the unbiased predictive risk estimator are used to determine optimal regularization parameters in the context of 3-D focusing gravity inversion with the minimum support stabilizer. At each iteration of the focusing inversion the minimum support

The χ[superscript 2] principle and the unbiased predictive risk estimator are used to determine optimal regularization parameters in the context of 3-D focusing gravity inversion with the minimum support stabilizer. At each iteration of the focusing inversion the minimum support stabilizer is determined and then the fidelity term is updated using the standard form transformation. Solution of the resulting Tikhonov functional is found efficiently using the singular value decomposition of the transformed model matrix, which also provides for efficient determination of the updated regularization parameter each step. Experimental 3-D simulations using synthetic data of a dipping dike and a cube anomaly demonstrate that both parameter estimation techniques outperform the Morozov discrepancy principle for determining the regularization parameter. Smaller relative errors of the reconstructed models are obtained with fewer iterations. Data acquired over the Gotvand dam site in the south-west of Iran are used to validate use of the methods for inversion of practical data and provide good estimates of anomalous structures within the subsurface.

Downloads
PDF (2 MB)

Details

Title
  • Application of the Chi(2) Principle and Unbiased Predictive Risk Estimator for Determining the Regularization Parameter in 3-D Focusing Gravity Inversion
Contributors
Date Created
2015-01-01
Resource Type
  • Text
  • Collections this item is in
    Identifier
    • Digital object identifier: 10.1093/gji/ggu397
    • Identifier Type
      International standard serial number
      Identifier Value
      0956-540X
    • Identifier Type
      International standard serial number
      Identifier Value
      1365-246X
    Note
    • This is a pre-copy-editing, author-produced PDF of an article accepted for publication in GEOPHYSICAL JOURNAL INTERNATIONAL following peer review. The definitive publisher-authenticated version Vatankhah, Saeed, Ardestani, Vahid E., & Renaut, Rosemary A. (2015). Application of the chi(2) principle and unbiased predictive risk estimator for determining the regularization parameter in 3-D focusing gravity inversion. GEOPHYSICAL JOURNAL INTERNATIONAL, 200(1), 265-277. http://dx.doi.org/10.1093/gji/ggu397 is available online.

    Citation and reuse

    Cite this item

    This is a suggested citation. Consult the appropriate style guide for specific citation guidelines.

    Vatankhah, Saeed, Ardestani, Vahid E., & Renaut, Rosemary A. (2015). Application of the chi(2) principle and unbiased predictive risk estimator for determining the regularization parameter in 3-D focusing gravity inversion. GEOPHYSICAL JOURNAL INTERNATIONAL, 200(1), 265-277. http://dx.doi.org/10.1093/gji/ggu397

    Machine-readable links