Velocity analysis based on minimum entropy
Author(s) -
D. de Vries,
A. J. Berkhout
Publication year - 1984
Publication title -
geophysics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.178
H-Index - 172
eISSN - 1942-2156
pISSN - 0016-8033
DOI - 10.1190/1.1441629
Subject(s) - offset (computer science) , wavelet , entropy (arrow of time) , diffraction , group velocity , algorithm , mathematics , computer science , optics , physics , quantum mechanics , artificial intelligence , programming language
Seismic resolution is determined by the sparsity of reflection events together with the dispersion of the wavelets representing those events. In this paper, minimum entropy (ME) norms are introduced as a measure of spatial resolving power. It is shown that the lateral dispersion of inverted diffractor responses (inverted spatial wavelets) increases with increasing velocity error. Using this property, minimum entropy velocity analysis (MEVA) is proposed to extract velocity information from diffraction energy. MEVA can be successfully applied to zero-offset (including poststack) data and common-offset data with a sufficient amount of diffraction energy. In addition, MEVA can be used as an alternative to existing CMP velocity estimation techniques.
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