L15_SeismicReflectionII-page2 - Our seismogram S =...

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Applied Geophysics – Seismic reflection II Reflectivity and convolution The seismic wave is sensitive to the sequence of impedance contrasts Î The reflectivity series (R) We input a source wavelet (W) which is reflected at each impedance contrast The seismogram recorded at the surface (S) is the convolution of the two S = W * R Applied Geophysics – Seismic reflection II Deconvolution Spiking or whitening deconvolution Reduces the source wavelet to a spike. The filter that best achieves this is called a Wiener filter
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Unformatted text preview: Our seismogram S = R*W (reflectivity*source) Deconvolution operator, D, is designed such that D*W = δ So D*S = D*R*W = D*W*R = δ *R = R Time-variant deconvolution D changes with time to account for the different frequency content of energy that has traveled greater distances Predictive deconvolution The arrival times of primary reflections are used to predict the arrival times of multiples which are then removed …undoing the convolution to get back to the reflectivity series – what we want...
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This note was uploaded on 01/07/2012 for the course PHYSICS 384 taught by Professor Wei during the Spring '09 term at SUNY Stony Brook.

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