Abstract
Summary Production-related noise on DAS VSP data generally not only obscures the underneath seismic signal but also results in a distorted VSP image. This paper presents an effective flow noise attenuation workflow for DAS VSP data based on Matching Pursuit. It decomposes DAS VSP traces into Gabor atoms followed by a reconstruction of the flow noise model using a linear combination of selected components. Flow noise attenuation is achieved by subtracting the reconstructed flow noise from the input data. We demonstrate performance on field DAS VSP data recorded in a producing well. Examples on field data with strong flow noise illustrate the effectiveness of the method.
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