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- W2061718823 abstract "Summary In this paper, a method for automatic tomography based on semblance and differential semblance is presented. The method determines the background velocity from the first arrivals. A semblance panel is built by back-propagating all the seismic data traces towards zero time. If the background velocity is close to the true one, all the first-arrivaltransmitted waves are lined up at zero time and the backpropagated traces are almost identical. The velocity model is then updated either by maximizing the norm of the stack of all the back-propagated traces (semblance optimization) or by minimizing the norm of the difference between two adjacent traces (differential semblance optimization)." @default.
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- W2061718823 date "2000-01-01" @default.
- W2061718823 modified "2023-10-10" @default.
- W2061718823 title "Automatic crosswell tomography by differential semblance optimization" @default.
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- W2061718823 doi "https://doi.org/10.1190/1.1815908" @default.
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