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Wave field separation of seismic data based on least square fitting

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We propose a novel wave field separation approach in this paper。 Firstly, the arrival times and amplitude intensity coefficients of the reflected waveforms of underground interfaces are estimated by least square fitting。 And then, the forward modeling of the seismic data are calculated and corrected to zero offset with the corresponding seismic wavelet and reflective parameters。 The reflected waveform sequences which are compressed in large offset traces are effectively separated without any stretching distortion, which always exists in the results of traditional NMO。 And the large offset traces can play a more important role in posterior stacking processing。

NMOwave field separationleast square fitting

WANG Hui

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Institute of Geophysics, China Earthquake Administration, Beijing, China, 100081

International symposium on instrumentation and control technology

Beijing(CN)

Sensors and instruments, computer simulation, and artificial intelligence

71272G,1-71272G,6

2008