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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.

© EAGE Publications BV
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/content/papers/10.3997/2214-4609.202310416
2023-06-05
2026-02-10

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References

  1. Gabor, D. (1946), Theory of communication: Journal of the Institute of Electrical Engineers, 93, 429–457.
     [Google Scholar]
  2. Kiyashchenko, D., Mateeva, A., Duan, Y., Johnson, D., Pugh, J., Geisslinger, A. and Lopez, J. (2020), Frequent 4D monitoring with DAS 3D VSP in deep water to reveal injected water-sweep dynamics. The Leading Edge, 39:7, 471–479. https://doi.org/10.1190/tle39070471.1
     [Google Scholar]
  3. Mallat, S. and Zhang, Z. (1993), Matching pursuit with time-frequency dictionaries. IEEE Transactions on Signal Processing, 41: 3397–3415. https://doi.org/10.1109/78.258082
     [Google Scholar]
  4. Martuganova, E., Stiller, M., Bauer, K., Henninges, J. and Krawczyk, C.M. (2021), Cable reverberations during wireline distributed acoustic sensing measurements: their nature and methods for elimination. Geophysical Prospecting, 69: 1034–1054. https://doi.org/10.1111/1365-2478.13090
     [Google Scholar]
  5. Temko, A., Macho, D. and Nadeu, C. (2008), Fuzzy integral based information fusion for classification of highly confusable non-speech sounds. Pattern Recognition, 41: 1814–1823. https://doi.org/10.1016/j.patcog.2007.10.026
     [Google Scholar]
  6. Wang, Y. (2007), Seismic time-frequency spectral decomposition by matching pursuit. Geophysics, 72: V13–V20. https://doi.org/10.1190/1.2387109
     [Google Scholar]
  7. Zhan, G., Zhao, Y., Cheng, C., Heim, J., Fei, W., Craven, M., Baker, S. and Hennenfent, G. (2022), Noise analysis and ML denoising of DAS VSP data acquired from ESP lifted wells. Second International Meeting for Applied Geoscience & Energy, 597–601. https://doi.org/10.1190/image2022-3750545.1
     [Google Scholar]
/content/papers/10.3997/2214-4609.202310416
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DAS VSP Flow Noise Attenuation Based on Matching Pursuit
Conference Proceedings 2023, 1 (2023); https://doi.org/10.3997/2214-4609.202310416
/content/papers/10.3997/2214-4609.202310416
/content/papers/10.3997/2214-4609.202310416
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