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Seismic reflection imaging of an ultrashallow interface from a P-wave data set with a poor signal-to-noise ratioNormal access

Authors: R. Balia and E. Gavaudo
Journal name: Near Surface Geophysics
Issue: Vol 1, No 4, November 2003 pp. 183 - 191
DOI: 10.3997/1873-0604.2003009
Language: English
Info: Article, PDF ( 5.66Mb )
Price: € 30

It is well known that pitfalls are commonly encountered in the acquisition and processing of shallow reflection data. Although they can often lead to misinterpretations, the obsession with these difficulties can generate an excessively pessimistic attitude and ultimately lead to rejecting data that contain genuine reflections. The authors revisited a data set acquired during an ultrashallow P-wave reflection experiment conducted in December 1996 on a subsurface model characterized by one main, complex interface. The model had been purpose-built to control acquisition and processing decisions, and to contribute to clarifying at least some of the critical aspects inherent in the ultrashallow seismic reflection method. For the experiment,the acquisition geometry was purposely designed regardless of the known characteristics of the model, considering only a target depth of less than ten metres. The data, which had been acquired with CMP techniques, were generally characterized by a poor signal-to-noise ratio and had been considered completely useless. Initially, inexperience in acquiring and, above all, processing ultrashallow reflection data, in conjunction with misevaluations, had led to disappointing failures. Velocity analysis on reflection data had proved very difficult and standard processing sequences were inadequate. However, in this case agood result was obtained by modelling the near-surface velocity using direct-wave travel-times analysis and by adopting a simple but segregated processing sequence, which proved necessary due to significant velocity gradients and large relative variations of the reflector depth. Time-to-depth conversion afforded a more than acceptable result.

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