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Improved signal processing for sub-basalt imaging
Author(s) -
N. Woodburn,
Anthony Hardwick,
Hassan Masoomzadeh,
Tom Travis
Publication year - 2014
Publication title -
special publication - geological society of london/geological society, london, special publications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.673
H-Index - 132
eISSN - 2041-4927
pISSN - 0305-8719
DOI - 10.1144/sp397.6
Subject(s) - basalt , signal processing , signal (programming language) , geology , computer science , geochemistry , digital signal processing , computer hardware , programming language
Sub-basalt imaging continues to provide a challenge within the West of Shetland region. Successful imaging is being achieved through the reprocessing of 2D reflection seismic data. These were acquired with conventional source array and streamer parameters and include key signal processing techniques. The first technique involves spectral processing to boost low-frequency signals at the early stages of processing. The second technique involves attenuating coherent and incoherent noise in all of the available ‘time-offset’ domains. Examples of the data after application of these techniques are presented and clear improvements over the original processing are demonstrated. As work on these reprocessing methods has progressed, the benefits of moving to a true broadband processing solution have become clear.

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