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An operator decomposition approach for the separation of signal and coherent noise in seismic wavefields

Tamas Nemeth1,3 and Kenneth P Bube2

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Extraction of signal from a wavefield corrupted by significant coherent noise is one of the principal tasks in exploration seismology. Frequently both the signal and coherent noise components exhibit complex characteristics and cannot be modelled by popular transforms. In this paper we examine the separation of wavefield components by using their respective modelling operator as a transform. We form the separation problem as an inverse problem and study the corresponding invertibility and resolution properties of the resulting system matrix. We establish a link between the null space of the system matrix and the range overlap of the modelling operators. We introduce model and data regularization and show that these terms help mitigate the range overlap. The method is illustrated on a synthetic example for the nonregularized, model-based and data-based regularization cases.


PACS

91.30.Fn Surface and body waves

93.85.Rt Seismic methods

02.30.Zz Inverse problems

MSC

86A22 Inverse problems (See also 35R30)

86A15 Seismology

Subjects

Mathematical physics

Instrumentation and measurement

Environmental and Earth science

Dates

Issue 3 (June 2001)

Received 27 July 2000, in final form 10 April 2001



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