Application of Noise Attenuation on 2D Shallow Offshore Seismic Reflection Data: A Case Study from the Baltic Sea
Received: 11 January 2022 | Revised: 27 January 2022 | Accepted: 4 February 2022 | Online: 9 April 2022
Corresponding author: E. Roshdy
Abstract
Noise is always present in offshore seismic data, as there isn't a single method that could eliminate all the forms of noise. In this study, noise removal techniques were applied to attenuate different noises in 2D shallow-marine seismic data from the Baltic Sea area. Amplitude recovery should be applied before the noise attenuation stage as a preconditioning process for showing all noises in the deeper part of the seismic data. Frequency filters (notch filter and low-cut filter), frequency-wavenumber (FK) filter, and swell noise attenuation (Deswell) were applied as robust noise attenuation techniques. The method of directly modifying the amplitude spectrum of the seismic data is known as frequency filtering. A notch filter can be used to remove the harmonic noise of the power line harmonic noise (mono-frequency noise). A low-cut filter can be used to remove the low-frequency noises due to the influence of hydrostatic pressure variations. The linearly correlated events, such as tail-buoy and operational noise, were removed using the FK filter. Incoherent noise, such as swell noise, can be attenuated by swell noise attenuation (Deswell). The seismic results are displayed before and after the applied noise attenuation techniques to prove the validity of the applied filters. This study aimed to show the importance of shallow offshore seismic data processing in removing different types of noise, as it increases the value of data for seismic data interpretation and marine geohazard assessment.
Keywords:
Noise Attenuation, Frequency Filtering, FK Filter, Swell Noise AttenuationDownloads
References
A. Younesi, R. Rahmani, J. Jaafari, and Y. Mahdavi, "Environmental Risk Assessment and Management in Oil Platform Construction Phase Activities: A Case Study," Engineering, Technology & Applied Science Research, vol. 7, no. 3, pp. 1658–1663, Jun. 2017. DOI: https://doi.org/10.48084/etasr.1127
V. Durussel, D. Bai, A. B. Ahmadi, S. Downie, and K. Millis, "The value of very low frequencies and far offsets for seismic data in the Permian Basin: Case study on a new dense survey from the Central Basin Platform," The Leading Edge, vol. 41, no. 1, pp. 34–39, Jan. 2022. DOI: https://doi.org/10.1190/tle41010034.1
S. Eladj, T. K. Lounissi, M. Z. Doghmane, and M. Djeddi, "Lithological Characterization by Simultaneous Seismic Inversion in Algerian South Eastern Field," Engineering, Technology & Applied Science Research, vol. 10, no. 1, pp. 5251–5258, Feb. 2020. DOI: https://doi.org/10.48084/etasr.3203
A. Metwally, S. Hanafy, B. Guo, and M. Kosmicki, "Imaging of subsurface faults using refraction migration with fault flooding," Journal of Applied Geophysics, vol. 143, pp. 103–115, Aug. 2017. DOI: https://doi.org/10.1016/j.jappgeo.2017.05.003
E. Onajite, Seismic Data Analysis Techniques in Hydrocarbon Exploration. Waltham, MA, USA: Elsevier, 2014.
A. Aghayan and P. Jaiswal, "Noise suppression using a near-source wavelet," Geophysics, vol. 87, no. 1, pp. V51–V58, Dec. 2021. DOI: https://doi.org/10.1190/geo2020-0813.1
N. Soltani, "A Tunable Low Noise Active Bandpass Filter Using a Noise Canceling Technique," Engineering, Technology & Applied Science Research, vol. 6, no. 6, pp. 1294–1296, Dec. 2016. DOI: https://doi.org/10.48084/etasr.792
O. Yilmaz, Ö. Yilmaz, and S. M. Doherty, Seismic Data Analysis: Processing, Inversion, and Interpretation of Seismic Data. Tulsa, OK, USA: SEG Books, 2001. DOI: https://doi.org/10.1190/1.9781560801580
H. Karslı and D. Dondurur, "A mean-based filter to remove power line harmonic noise from seismic reflection data," Journal of Applied Geophysics, vol. 153, pp. 90–99, Jun. 2018. DOI: https://doi.org/10.1016/j.jappgeo.2018.04.014
T. Elboth, I. Vik Presterud, and D. Hermansen, "Time-frequency seismic data de-noising," Geophysical Prospecting, vol. 58, no. 3, pp. 441–453, 2010. DOI: https://doi.org/10.1111/j.1365-2478.2009.00846.x
M. Herman, H. S. Hashim, A. H. A. Latif, and D. P. Ghosh, "Application of FK Filtering for Coherent Noise Removal in High Frequency Shallow Marine Data," IOP Conference Series: Earth and Environmental Science, vol. 88, no. 1, Jul. 2017, Art. no. 012010. DOI: https://doi.org/10.1088/1755-1315/88/1/012010
D. Dondurur, Acquisition and Processing of Marine Seismic Data. Amsterdam, Netherlands: Elsevier, 2018. DOI: https://doi.org/10.1016/B978-0-12-811490-2.00002-5
X. Zhao, P. Lu, Y. Zhang, J. Chen, and X. Li, "Swell-noise attenuation: A deep learning approach," The Leading Edge, vol. 38, no. 12, pp. 934–942, Dec. 2019. DOI: https://doi.org/10.1190/tle38120934.1
I. Tamunibereton-ari, A. P. Ngeri, and A. R. C. Amakiri, "Time-Frequency Attenuation of Swell Noise on Seismic Data from Offshore Central Niger-Delta, Nigeria," IOSR Journal of Applied Geology and Geophysics, vol. 3, no. 5, pp. 30–35, Sep. 2015.
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