Application of multifocusing seismic processing to the GPR data analysis

Alex Berkovitch, Lev Eppelbaum

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

A multifocusing seismic processing (MFSP) is based on the homeomorphic imaging theory and consists of stacking seismic data with arbitrary source-receiver distribution according to a new local moveout correction. Three-parameter travel time representation allows to obtain a precise approximation not only for the CMP travel time curves, but also for the full multi-coverage travel time surfaces. In MFSP observed data are stacked along a full travel time surface whereas in the CMP are used only hyperbolas. MFSP does not require any knowledge of the subsurface model and produces an accurate zero offset section, even in the cases of complicated geological structure and low relation signal/noise. The optimal sets of parameters obtaining in MFSP (emergence angle of normal rays and two fundamental solutions of differential equations of wavefront) play an important role in the analysis of wavefield distribution. These parameters can be used as initial ones for inverse problem solution and construction of velocity model. MFSP with some modification may be applied for the ground penetrating radar data processing. We illustrate application of MFSP technique to GPR profile aimed to map stratigraphy at quarry “Nesher” in the Central Israel. The obtained results show that the presented method may be effectively used together with conventional procedures. Introduction The conventional approach to seismic data processing is based on consideration of specific types of geological medium models and determination of the time correction procedures. The latter are used in media of arbitrary structures which, in turn, gives rise to uncertainty as regards their applicability.
Original languageAmerican English
Title of host publicationSelected Papers presented at the Ann. SAGEEP Conference
Pages597-606
DOIs
StatePublished - 2000

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