1887

Abstract

Summary

By expanding the support of the gradient, we can make updates in areas inside the salt body and thus allow for inclusion discovery. We can choose where to allow these updates using interpreter input as guidance. This guidance can further be used to modify the implicit surface to direct a level-set based salt body inversion while still allowing the final model to ultimately be determined by the data itself. Further, we utilize the interpreter guidance to inform the probability distribution that we use to select the centers for the radial basis functions that provide us with a sparse model parameterization. In this work, we begin by explaining how level sets are combined with the FWI objective function for optimizing the shape of the salt. Next, we explain how to include the interpreter guidance in this inversion, and how it relates to an improved method for mapping the radial basis function centers. Last, we demonstrate and compare this work flow on the Sigsbee synthetic model.

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/content/papers/10.3997/2214-4609.201801032
2018-06-11
2024-04-19
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References

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