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- W2896469235 abstract "Geophysical joint inversion requires inter-domain regularization that can be implemented based on the structural or on the property similarity measures of the geophysical models we want to link in the inverse problem. Structural regularization can be achieved through cross-gradients or summative gradients. Summative gradients provide a stronger type of constraint, while cross-gradients are generally more stable. Property regularization can be obtained by using physical relations derived from the analysis of experimental data. This approach is very powerful but requires strong a-priori information. We present a strong and stable formulation of the joint inversion of multiple geophysical data subject to both structural and property inter-domain regularizations. The effectiveness of the approach is demonstrated by the inversion of seismic and transient electromagnetics data generated from a complex near-surface model. We show that geophysical joint inversion with combined inter-domain regularization improves reconstruction of the true model parameter distribution, when compared to a standard tomographic approach, or when structure or property regularizations are used separately in joint inversion." @default.
- W2896469235 created "2018-10-26" @default.
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- W2896469235 date "2018-06-11" @default.
- W2896469235 modified "2023-09-23" @default.
- W2896469235 title "Multi-physics Joint Inversion with Multiple Inter-Domain Regularizations" @default.
- W2896469235 doi "https://doi.org/10.3997/2214-4609.201800953" @default.
- W2896469235 hasPublicationYear "2018" @default.
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