1887
Volume 73, Issue 3
  • E-ISSN: 1365-2478

Abstract

Abstract

Seismic technique is widely used to image the subsurface geology for oil and gas exploration. The image quality depends on the spatial sampling density. However, it is challenging and expensive to acquire high‐density seismic data, particularly in the marine environment. Distributed acoustic sensing data are increasingly used in data acquisition because of their low cost and dense spatial sampling. Here, we present a novel type of high‐density towed streamer based on distributed acoustic sensing technology and report the results of a sea trial. This sea trial was conducted in a gas hydrate province as the major driver to develop this technique is to better characterize gas hydrate deposits. Throughout the experiment, several high‐quality datasets were obtained, and parameters like source energies and filler materials were examined. The trace interval of distributed acoustic sensing streamer data reaches 1 m, which is a significant improvement over the usual 3.125 or 6.25 m in the conventional towed streamer. A detailed analysis was carried out from three different perspectives: amplitude, noise and frequency. One of the datasets was further processed following a routine workflow to obtain the final image. Though direct comparison with the image obtained by a conventional towed streamer along a coincident line is not available, the comparison with the previous image from a nearby line shows the improvement in resolution. The final image is of good quality and the presence of gas hydrate could be inferred. The sea trial results demonstrate the feasibility of the use of a distributed acoustic sensing optical fibre streamer in acquiring high‐density seismic data in the marine environment.

© 2025 European Association of Geoscientists & Engineers. © 2024 European Association of Geoscientists & Engineers.
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2025-02-27
2026-02-15

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References

  1. Birt, C., Priyambodo, D., Wolfarth, S., Stone, J. & Manning, T. (2020) The value of high‐density blended OBN seismic for drilling and reservoir description at the Tangguh gas fields, Eastern Indonesia. The Leading Edge, 39(8), 574–582. Available from: https://doi.org/10.1190/tle39080574.1
     [Google Scholar]
  2. Boswell, R. & Collett, T.S. (2011) Current perspectives on gas hydrate resource. Energy & Environmental Science, 4, 1206–1215.
     [Google Scholar]
  3. Chen, J., Li, H., Xiao, X., Fan, C., Wen, P., Yan, Z. et al. (2022) Fully continuous fiber‐optic hydrophone streamer with small channel spacing for marine seismic acquisition. In: Optics info base conference papers. Alexandria, Optica. pp. 4–7. Available from: https://doi.org/10.1364/OFS.2022.W4.45
  4. Cordery, S. (2020) An effective data processing workflow for broadband single‐sensor single‐source land seismic data. The Leading Edge, 39(6), 401–410. Available from: https://doi.org/10.1190/tle39060401.1
     [Google Scholar]
  5. Dou, S., Lindsey, N., Wagner, A.M., Daley, T.M., Freifeld, B., Robertson, M. et al. (2017) Distributed acoustic sensing for seismic monitoring of the near surface: a traffic‐noise interferometry case study. Scientific Reports, 7(1), 1–12. Available from: https://doi.org/10.1038/s41598‐017‐11986‐4
     [Google Scholar]
  6. Dowling, A. (1998) Underwater flow noise. Theoretical and Computational Fluid Dynamics. 10, 135–153. Available from: https://doi.org/10.1007/s001620050055
     [Google Scholar]
  7. Fang, G., Li, Y.E., Zhao, Y. & Martin, E.R. (2020). Urban near‐surface seismic monitoring using distributed acoustic sensing. Geophysical Research Letters, 47(6), 1–9. Available from: https://doi.org/10.1029/2019GL086115
     [Google Scholar]
  8. Gardner, D.L., Hofler, T., Baker, S.R., Yarber, R.K. & Garrett, S.L. (1987) A fiber‐optic interferometric seismometer. Journal of Lightwave Technology, 5(7), 953–960. Available from: https://doi.org/10.1109/JLT.1987.1075588
     [Google Scholar]
  9. He, X.G., Xie, S.R., Liu, F., Cao, S., Gu, L.J., Zheng, X.P. et al. (2017) Multi‐event waveform‐retrieved distributed optical fiber acoustic sensor using dual‐pulse heterodyne phase‐sensitive OTDR. Optics Letters, 42(3), 442–445. Available from: https://doi.org/10.1364/OL.42.000442
     [Google Scholar]
  10. He, X.G., Zhang, M., Gu, L., Xie, S., Liu, F. & Lu, H. (2020) Performance improvement of dual‐pulse heterodyne distributed acoustic sensor for sound detection. Sensors (Switzerland), 20(4), 1–13. Available from: https://doi.org/10.3390/s20040999
     [Google Scholar]
  11. He, X.G., Wen, P.F., Yang, H., Gu, L.J., Lu, H.L. & Zhang, M. (2022) Marine towing cable seismic acquisition with small trace interval based on distributed optical fiber sensing. Geophysical Prospecting for Petroleum, 61(1), 70–77.
     [Google Scholar]
  12. Henninges, J., Martuganova, E., Stiller, M., Norden, B. & Krawczyk, C.M. (2021) Wireline distributed acoustic sensing allows 4.2 km deep vertical seismic profiling of the Rotliegend 150°C geothermal reservoir in the North German Basin. Solid Earth, 12, 521–537. https://doi.org/10.5194/se‐12‐521‐2021
     [Google Scholar]
  13. Jiang, W.B., Lin, J.N., Liu, B., Zhang, R.W., Zhang, B.J., Yang, Z. et al. (2023) Distributed acoustic sensing for shallow structure imaging using mechanical noise: a case study in Guangzhou, China. Journal of Applied Geophysics, 215, 105139. Available from: https://doi.org/10.1016/j.jappgeo.2023.105139
     [Google Scholar]
  14. Kvenvolden, K.A. (1993) Gas hydrates‐geological perspective and global change. Reviews of Geophysics, 31, 173–187.
     [Google Scholar]
  15. Li, Z.S. (2012) Principle and application of high density spatial sampling in seismic migration. Applied Geophysics, 9(3), 286–292. Available from: https://doi.org/10.1007/s11770‐012‐0338‐0
     [Google Scholar]
  16. Lin, J.N., JiangW.B., Zhou, Y., Liu, B., Zhao, M.H., Xiao, Z. et al. (2024) Distributed acoustic sensing for crowd motion and firecracker explosions in the fireworks show. Seismological Research Letters. Available from: https://doi.org/10.1785/0220230346
     [Google Scholar]
  17. Liu, B., Xu, Y., Xue, H., Wen, P. & Meng, D. (2023) Seismic imaging of a seepage gas hydrate system with a harrow‐like acquisition geometry. Acta Geophysica, 71(4), 1717–1728. Available from: https://doi.org/10.1007/s11600‐022‐00998‐y
     [Google Scholar]
  18. Liu, F., Xie, S., Qiu, X., Wang, X., Cao, S., Qin, M. et al. (2016) Efficient common‐mode noise suppression for fiber‐optic interferometric sensor using heterodyne demodulation. Journal of Lightwave Technology, 34(23), 5453–5461. Available from: https://doi.org/10.1109/JLT.2016.2606758
     [Google Scholar]
  19. Liu, F., Xie, S., Gu, L., He, X., Yi, D., Chen, Z. et al. (2019). Common‐mode noise suppression technique in interferometric fiber‐optic sensors. Journal of Lightwave Technology, 37(21), 5619–5627. Available from: https://doi.org/10.1109/JLT.2019.2933449
     [Google Scholar]
  20. Liu, Z.W., Sha, L.M., Dong, S.T. & Tang, D.L. (2009) Practices and expectation of high‐density seismic exploration technology in CNPC. Petroleum Exploration and Development, 36(2), 129–135. Available from: https://doi.org/10.1016/S1876‐3804(09)60115‐4
     [Google Scholar]
  21. Manning, T., Ablyazina, D. & Quigley, J. (2019) The nimble node‐million‐channel land recording systems have arrived. The Leading Edge, 38(9), 706–714. Available from: https://doi.org/10.1190/tle38090706.1
     [Google Scholar]
  22. Marsset, B., Menut, E., Ker, S., Thomas, Y., Regnault, J.P., Leon, P. et al. (2014) Deep‐towed high resolution multichannel seismic imaging. Deep‐Sea Research Part I: Oceanographic Research Papers, 93, 83–90. Available from: https://doi.org/10.1016/j.dsr.2014.07.013
     [Google Scholar]
  23. Mellors, R.J., Abbott, R., Steedman, D., Podrasky, D. & Pitarka, A. (2021). Modeling subsurface explosions recorded on a distributed fiber optic sensor. Journal of Geophysical Research: Solid Earth, 126(12), e2021JB022690. Available from: https://doi.org/10.1029/2021JB022690
     [Google Scholar]
  24. Ourabah, A., Bradley, J., Hance, T., Kowalczyk‐Kedzierska, M., Grimshaw, M. & Murray, E. (2015) Impact of acquisition geometry on AVO/AVOA attributes quality‐A decimation study onshore Jordan. In: 77Th conference and exhibition, EAGE, extended abstracts. Bunnik, European Association of Geoscientists & Engineers. pp. 1–5. Available from: https://doi.org/10.3997/2214‐4609.201413301
  25. Pei, Y., Wen, M., Wei, Z., Liu, B., Liu, K. & Kan, G. (2023) Data processing of the kuiyang‐ST2000 deep‐towed high‐resolution multichannel seismic system and application to South China Sea data. Journal of Oceanology and Limnology, 41, 644–659. Available from: https://doi.org/10.1007/s00343‐022‐2049‐6
     [Google Scholar]
  26. Petersen, C.J., Bünz, S., Hustoft, S., Mienert, J. & Klaeschen, D. (2010) High‐resolution P‐cable 3D seismic imaging of gas chimney structures in gas hydrated sediments of an Arctic sediment drift. Marine and Petroleum Geology, 27(9), 1981–1994. Available from: https://doi.org/10.1016/j.marpetgeo.2010.06.006
     [Google Scholar]
  27. Planke, S., Eriksen, F.N., Berndt, C., Mienert, J. & Masson, D. (2009) P‐cable high‐resolution seismic. Oceanography, 22(1), 85. Available from: https://doi.org/10.5670/oceanog.2009.09
     [Google Scholar]
  28. Qian, H., Wang, X., Chen, X. & Yang, Z. (2022) Research on noise suppression technology of marine optical fiber towed streamer seismic data based on ResUNet. Energies, 15(9), 3362. Available from: https://doi.org/10.3390/en15093362
     [Google Scholar]
  29. Ramsden, C., Bennett, G. & Long, A. (2005) High‐resolution 3D seismic imaging in practice. The Leading Edge, 24(4), 423–428. Available from: https://doi.org/10.1190/1.1901397
     [Google Scholar]
  30. Wang, X., Li, X., Zhang, H., Hao, X. & Yu, K. (2019) Optical fiber marine seismic exploration system feasibility study. Acta Geophysica, 67(5), 1403–1411. Available from: https://doi.org/10.1007/s11600‐019‐00333‐y
     [Google Scholar]
  31. Yan, G., Wang, D., Long, J., Jiang, L., Gong, Y., Ran, Z. et al. (2023) High‐performance towing cable hydrophone array with an improved ultra‐sensitive fiber‐optic distributed acoustic sensing system. Optics Express, 31(16), 25545. Available from: https://doi.org/10.1364/oe.492252
     [Google Scholar]
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High‐density offshore seismic exploration with an optical fibre towed streamer based on distributed acoustic sensing: Concept and application
Geophysical Prospecting 73, 812 (2025); https://doi.org/10.1111/1365-2478.13535
/content/journals/10.1111/1365-2478.13535
/content/journals/10.1111/1365-2478.13535
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  • Article Type: Research Article
Keyword(s): acquisition; data processing; imaging

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