1887

Abstract

Summary

A subsurface volume that can be reliably interpreted in terms of geologically relevant parameters is a desirable outcome from depth inversion workflows. Geophysical data are often inaccurate and incomplete, the inverse problem is commonly non-unique, and constraints are usually required to recover useful output models.

We introduce a novel application of the established cross-gradient operator to incorporate surface or subsurface geological and other attribute measurements in a data-driven workflow, delivering a model consistent with all the available information.

Two field data examples are presented: in the first we constrain an airborne electromagnetic inversion with surface geology observations (dip and strike); secondly we employ a seismic volume to constrain a marine controlled-source electromagnetic inversion, where a structure tensor operator is used to derive the directional information.

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/content/papers/10.3997/2214-4609.201700849
2017-06-12
2020-04-03
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References

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