1887

Abstract

Summary

Data integration in geophysics provides additional information to elucidate subsurface structure and reduce non-uniqueness of inverted models.

In this work we demonstrate two alternative and easy methods to integrate data. A) the use of image-guided inversion, where structural information is taken directly from a high-resolution geophysical image (e.g. ground penetrating radar or seismic reflection) or from a geological cross-section. This structural information is introduced into the inverse problem through a weighted smoothing matrix, where it correlates and favors formations related to a specific structural feature and not just uniformly across the entire model. B) Definition of spatially weighted distribution of the Lagrange parameter, where the inversion solution favors model that incorporates naturally a-priori information from different data types. It is important to notice that in both scenarios, no petrophysical expressions are necessary and the modification of existing codes is limited to the stabilazation term.

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/content/papers/10.3997/2214-4609.20142037
2014-09-08
2024-03-28
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References

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