However, geophysicists are not satisfied with the performance of the conventional semblance because of the long-standing limitations of the semblance calculations for example, the low resolution that causes erroneous picking, expensive computation cost for the semblance in anisotropic media, and poor adaptability to the seismic data with AVO. Nowadays, semblance-based NMO velocity analysis is still popular and is the most practical and trustworthy method for velocity model building from seismic data. The concept of velocity spectrum or semblance was initially introduced as a measure of the correlation of multichannel seismic data (Taner and Koehler 1969, Neidell and Taner 1971). Weighted stacking, AB semblance, amplitude variation with offset (AVO), NMO velocity Introduction Semblance spectrumĪ velocity spectrum or semblance spectrum is often used to estimate normal-moveout (NMO) velocity. Applications to synthetic and field seismic data demonstrate a great improvement using our method to capture the true locations of weak reflections, distinguish thin-bed tuning artifacts, and effectively attenuate random noise. The selection of high-quality near-offset reference trace is another innovation of this work because of its better preservation of useful energy. The objective is to achieve an optimal stacking of the CMP gathers with class II amplitude-variation-with-offset (AVO) polarity-reversal anomaly. In this study, we propose to use a hybrid framework of combining AB semblance and a local-similarity-weighted stacking scheme. Weighted stacking is often used to improve the performance of conventional equal-weight stacking in further attenuating random noise and handling the amplitude variations in real seismic data. The common-midpoint (CMP) stacking technique plays an important role in enhancing the signal-to-noise ratio (SNR) in seismic data processing and imaging.
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