A new method for the gravity inversion is presented. It is based on a Bayesian approach and it allows to preserve sharp boundary between different lithologies.


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  1. Bayes, T.
    [1763] An essay toward solving a problem in the doctrine of chances. Philosophical Transactions of the Royal Society of London, 53, 370–418.
    [Google Scholar]
  2. Bertete-Aguirre, H., Cherkaev, E. and Oristaglio, M.
    [2002] Non-smooth gravity problem with total variation penalization functional. Geophysical Journal International, 149(2), 499–507.
    [Google Scholar]
  3. Cella, F. and Fedi, M.
    [2012] Inversion of potential field data using the structural index as weighting function rate decay. Geophysical Prospecting, 60(2), 313–336.
    [Google Scholar]
  4. Geman, S. and Geman, D.
    [1984] Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images. IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI-6, 721–741.
    [Google Scholar]
  5. Li, Y. and Oldenburg, D.W.
    [1998] 3-D inversion of gravity data. Geophysics, 63(1), 109–119.
    [Google Scholar]
  6. Oldenburg, D.W.
    [1974] The inversion and interpretation of gravity anomalies. Geophysics, 39(4), 526–536.
    [Google Scholar]
  7. Parker, R.
    [1973] The rapid calculation of potential anomalies. Geophysical Journal of the Royal Astronomical Society, 31(4), 447–455.
    [Google Scholar]
  8. Portniaguine, O. and Zhdanov, M.S.
    [1999] Focusing geophysical inversion images. Geophysics, 64(3), 874–887.
    [Google Scholar]

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