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Robust Non-Stationary Signature DeconvolutionGold Open Access

Authors: M.S. Denisov and A.E. Firsov
Event name: Geomodel 2017
Session: Прикладные вопросы обработки сейсмических данных
Publication date: 11 September 2017
DOI: 10.3997/2214-4609.201702179
Organisations: EAGE
Language: Russian
Info: Extended abstract, PDF ( 1.12Mb )

Summary:
Signature deconvolution is a widely used tool in seismic data processing. Sometimes its application leads to severe noise increase. This disadvantage is explained by the fact that filter adaptation is performed to the theoretical or measured signature, as the filter is subsequently applied to the data recorded. To achieve robust filtering, a data-adaptive element should be incorporated into the scheme. A threshold-based criterion is introduced to detect noisy frequencies and a special compensation filter is designed to attenuate them. The efficiency of the algorithm is demonstrated on a real marine data example

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