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- W2329802086 abstract "A recent increase on the need of combined use of multiple types of geophysical data has lead an intensive research on joint interpretation strategies. In the present work we explore a generalized methodology for joint inversion based on fuzzy c-means clustering, which, unlike other schemes for joint inversion as structural and petrophysic, does not require a priori information on the characteristics of the area of interest. In our scheme, we build an objective function which includes at the same time the individual objective functions for geophysical sets of data and the corresponding objective function for fuzzy clustering. We then test it using velocity borehole data and magnetic anomaly data to finally obtain models for velocity and magnetization with well defined zones for certain couples of parameters. The results shown that cluster and property parameters can be effectively estimated jointly and lead to relevant models of the subsurface." @default.
- W2329802086 created "2016-06-24" @default.
- W2329802086 creator A5041379293 @default.
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- W2329802086 date "2015-08-19" @default.
- W2329802086 modified "2023-10-16" @default.
- W2329802086 title "Borehole constrained inversion of geophysical data based on fuzzy clustering" @default.
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- W2329802086 doi "https://doi.org/10.1190/segam2015-5931667.1" @default.
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