NDLI: Methodology for Processing Seismograms Containing Total Internal Reflections

Content Provider	IEEE Xplore Digital Library
Author	Baziw, E. Verbeek, G.
Copyright Year	1980
Abstract	A very common problem encountered in downhole seismic testing (DST) and crosshole seismic testing (CST) is the processing of seismograms that contain total internal reflections (TIRs). TIRs arise when the incident angle exceeds the critical angle, and they are associated with reflected source wave distortions due to the fact that the reflection coefficients become complex. TIRs are typical in CST investigations (since horizontally traveling source waves have high angles of incidence on bounding stratigraphic layers), whereas in DST investigations, TIRs are encountered whenever there are significant man-made structures (piles, stone columns, and deep underground structures such as deep basements, parking garages, and dam structures). To process seismograms containing TIRs, time-variant blind seismic deconvolution (BSDtv) techniques are required, and this paper outlines a new formulation of a previously published concept in blind seismic deconvolution referred to as principle phase decomposition (PPD). This new PPD filter formulation allows for BSDtv where the direct source wave is isolated from the reflected source waves. The BSDtv PPD filter formulation is referred to as BSDSolver-tv.
Sponsorship	IEEE Geoscience and Remote Sensing Society IEEE URSI
Starting Page	7073
Ending Page	7085
Page Count	13
File Size	2172266
File Format	PDF
ISSN	01962892
Volume Number	52
Issue Number	11
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Periodic structures Soil Time-frequency analysis Deconvolution Mathematical model Time series analysis Media time-varying filters iterative methods Kalman filtering Monte Carlo methods parameter estimation reflection seismic signal processing state estimation
Content Type	Text
Resource Type	Article
Subject	Earth and Planetary Sciences Electrical and Electronic Engineering

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