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Abstract

Summary

In cases where anisotropy is important, it is worthwhile modeling the conductivity as a tensor as opposed to a scalar. Although six components of the conductivity can theoretically be modeled we start, the data sensitivity rarely supports this and we start with two, a horizontal and vertical conductivity. As such, we have implemented a two-stage anisotropic 3D CSEM inversion and applied the method to synthetic data from an unknown synthetic model provided by PGS. We are able to fit the data with an isotropic conductivity but a-priori information suggests that an anisotropic approach is desired, and further improvements to the resulting model are achieved by resolving the vertical conductivity.

© EAGE Publications BV
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/content/papers/10.3997/2214-4609.201700789
2017-06-12
2024-04-19

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References

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3D Anisotropic CSEM Inversion
Conference Proceedings 2017, 1 (2017); https://doi.org/10.3997/2214-4609.201700789
/content/papers/10.3997/2214-4609.201700789
/content/papers/10.3997/2214-4609.201700789
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