Initializing cross-gradients joint inversion of gravity and magnetic data with a Bayesian surrogate gravity model
Fregoso, E.; Palafox, A.; Moreles, M.A. (2019). Initializing cross-gradients joint inversion of gravity and magnetic data with a Bayesian surrogate gravity model. Pure Appl. Geophys. 177(2): 1029-1041. https://dx.doi.org/10.1007/s00024-019-02334-w
In: Pure and Applied Geophysics. Birkhäuser: Basel. ISSN 0033-4553; e-ISSN 1420-9136, more
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| Author keywords |
Join inversion, cross gradients, Bayesian estimation, surrogate model, gravity data, magnetic data |
| Authors | | Top |
- Fregoso, E.
- Palafox, A.
- Moreles, M.A., more
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| Abstract |
Cross-gradients joint inversion of gravity and magnetic data is the focus of this work. Cross-gradients are introduced as a constraint in the minimization of a least square functional including the misfits of the available data. We propose to initialize the cross gradients iterations with a surrogate density model. The latter is constructed by means of Bayesian estimation in a low dimensional parameter space. To sample from the posterior, an affine invariant MCMC is also introduced. The proposed methodology is successfully tested on synthetic models consisting of isolated sources. |
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