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 | Lowrank one-step wave extrapolation for reverse-time migration |  |
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Since the one-step wave extrapolation kernel operates in the complex domain, it requires a definition of data and reflectivity with complex values. The analytical data follows the definition of the complex wavefield in equations 7 and 8. It implies that the input data need to be Hilbert-transformed along the time axis and supplied as the imaginary part before the migration process, creating an analytical signal (Taner et al., 1979). We adopt the following complex-valued cross-correlation imaging condition (Claerbout, 1985):
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(29) |
where the lower case
denotes shots and
denotes time samples. The real part of the complex image
is extracted and used as the final image.
Extended imaging conditions (Sava and Vasconcelos, 2011), including space-shift (Sava and Fomel, 2003; Rickett and Sava, 2002) and time-shift (Sava and Fomel, 2006) imaging conditions, can provide additional information for migration velocity analysis. The complex-valued space-shift and time-shift imaging condition for lowrank one-step RTM takes the form
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(30) |
and can be easily implemented in the time-space domain.
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 | Lowrank one-step wave extrapolation for reverse-time migration |  |
![[pdf]](icons/pdf.png) |
Next: Examples
Up: Theory
Previous: Lowrank approximation
2016-11-16