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Abstract

Summary

A novel implementation of 2.5D CSEM forward and inversion modelling is presented: a finite element forward modelling which creates the simulated CSEM data and an iterative Bayesian inversion that compares the simulated and measured data in order to obtain physical information about the domain. The forward modelling makes use of geometrical information, derived from seismic data, that divides the domain in several regions, each one having different properties. The accurate description of geological structures is ensured by a parallel Finite Element forward modelling, running on parallel clusters. Concerning the inversion, the standard Tarantola method has been made more solid by using a full covariance matrix that acts as a stabilizer and smoother, but conserving discontinuities between different regions. Furthermore, bi-logarithmic boundaries help to constrain the problem according to prior information. The presented techniques have been tested on a real dataset, showing consistency with different approaches and validating our method.

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/content/papers/10.3997/2214-4609.201701359
2017-06-12
2024-03-29
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