The critical reflection theorem
Author(s) -
J.T. Fokkema,
Anton Ziolkowski
Publication year - 1987
Publication title -
geophysics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.178
H-Index - 172
eISSN - 1942-2156
pISSN - 0016-8033
DOI - 10.1190/1.1442365
Subject(s) - superposition principle , deconvolution , multiple , incidence (geometry) , reflection (computer programming) , plane (geometry) , seismogram , mathematics , plane wave , half space , wavelet , mathematical analysis , point source , optics , physics , geometry , geology , seismology , computer science , arithmetic , artificial intelligence , programming language
In predictive deconvolution of seismic data, it is assumed that the response of the earth is white. Any nonwhite components are presumed to be caused by the source wavelet or by unwanted multiples. We show that this whiteness assumption is invalid at precritical incidence. We consider plane waves incident on a layered acoustic half‐space. At exactly critical incidence at any interface in the half‐space, the lower layer acts similar to a rigid plate. The response of the half‐space is then all‐pass, or white. This result we call the critical reflection theorem. The response is also white if the waves are postcritically incident on the lower half‐space. In normal data processing these postcritical components are removed by muting. Thus the whiteness assumption is normally applied to exactly that part of the data where it is invalid. The demarcation between precritical and postcritical incidence can be exploited for the purposes of deconvolution, provided the data can be decomposed into plane waves. To develo...
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