Weighted stacking of seismic AVO data using hybrid AB semblance and local similarity
نویسندگان
چکیده
منابع مشابه
Weighted stacking of seismic AVO data using hybrid AB semblance and local similarity
Common-midpoint (CMP) stacking technique plays an important role in enhancing the signal-to-noise ratio (SNR) in seismic data processing and imaging. Weighted stacking is often used to improve the performance of conventional equalweight stacking in further attenuating random noise and handling the amplitude variations in real seismic data. In this study, we propose to use a hybrid framework of ...
متن کاملStacking seismic data using local correlation
Stacking plays an important role in improving signal-to-noise ratio and imaging quality of seismic data. However, for low-fold-coverage seismic profiles, the result of conventional stacking is not always satisfactory. To address this problem, we have developed a method of stacking in which we use local correlation as a weight for stacking common-midpoint gathers after NMO processing or common-i...
متن کاملVelocity analysis using weighted semblance
Increasing the resolution of semblance-based velocity spectra, or semblance spectra, can improve the accuracy of normal moveout velocity estimates. The resolution of semblance spectra depends on the sensitivity of semblance to changes in velocity. By weighting terms in the semblance calculation that are more sensitive to changes in velocity, we can increase resolution. Our implementation of wei...
متن کاملVelocity analysis using AB semblance a
I derive and analyze an explicit formula for a generalized semblance attribute, which is suitable for velocity analysis of prestack seismic gathers with distinct amplitude trends. While the conventional semblance can be interpreted as squared correlation with a constant, the AB semblance is defined as a correlation with a trend. This measure is particularly attractive for analyzing class II AVO...
متن کاملWavelet transform filtering of seismic data by semblance weighting
The presence of noise in a nonstationary signal (i.e., whose frequency content varies with time) complicates the extraction of meaningful information from the signal. The classical Fourier domain of such a signal can only separate the noise from the useful signal energy if they have different frequency content. For nonstationary signals the windowed Fourier transform has been introduced to loca...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Geophysics and Engineering
سال: 2016
ISSN: 1742-2132,1742-2140
DOI: 10.1088/1742-2132/13/2/152