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SIGNAL‐TO‐NOISE RATIO ENHANCEMENT IN SEISMIC MULTIFOLD DATA USING BAYESIAN STATISTICS *
Author(s) -
WALTHAM D.A.,
BOYCE J.F.
Publication year - 1986
Publication title -
geophysical prospecting
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.735
H-Index - 79
eISSN - 1365-2478
pISSN - 0016-8025
DOI - 10.1111/j.1365-2478.1986.tb00452.x
Subject(s) - midpoint , bayesian probability , offset (computer science) , posterior probability , algorithm , statistics , signal to noise ratio (imaging) , noise (video) , geology , standard deviation , computer science , a priori and a posteriori , signal (programming language) , stack (abstract data type) , mathematics , artificial intelligence , geometry , image (mathematics) , programming language , philosophy , epistemology
Bayesian statistics are applied to the problem of signal‐to‐noise ratio enhancement from a common‐midpoint gather. By maximizing the a posteriori probability distribution of the gather with respect to the minimum‐offset trace and suppressing multiples via a semblance criterion, a statistically biased stack is formed with signal‐to‐noise ratio comparable to that of the usual stack while preserving the resolution and registration of the original noisy trace. Application of the algorithm to real data reveals geologically significant features which are indistinct in the standard stacked section.