Journal Article10.1190/1.1439912
Dynamic Correlation Analysis
61
TL;DR: In this paper, a computer analysis technique is described for use in conjunction with reflection seismic data shot for conventional common depth point (CDP) stacking, with the objective of providing a space-time variant measure of the energy relationships among CDP traces.
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Abstract: A computer analysis technique is described for use in conjunction with reflection seismic data shot for conventional common‐depth‐point (CDP) stacking, with the objective of providing a space‐time variant measure of the energy relationships among CDP traces This energy analysis may be interpreted to yield an estimate of the relative contribution of primary and multiple reflections versus record time, their velocity functions, and the fraction of uncorrelated energy which is present These data, in addition to their interpretive value, provide a space‐time variant model of the signal and noise fields for use in the design of optimum CDP stacking filters The heart of the method is based upon crosscorrelations computed between CDP traces from numerous sequential short data gates along the trace These are averaged over an ensemble of like members obtained along the line of profiles and manipulated to yield a reliable estimate of the cross correlation peak amplitude and delay upon which the primary and mult
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Least-squares reverse time migration using controlled-order multiple reflections
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Velocity Determination from Seismic Reflection Data
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TL;DR: In this paper, the authors used the maximum coherency stacking velocity through the r.m.s. velocity to determine the gross velocity distribution in the ground from CDP reflection data.
49
References
A new data-processing technique for multiple attenuation exploiting differential normal moveout
TL;DR: In this paper, a new data processing technique is presented which utilizes optimum multichannel digital filtering in conjunction with common subsurface horizontal stacking for the efficient rejection of multiple reflections.
46
Measurement and Analysis of Random Data
TL;DR: In this paper, Measurement and Analysis of Random Data (MADR) is used for the analysis of random data in the context of measurement and analysis of statistical data sets.