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Journal of Earth Science

, Volume 29, Issue 6, pp 1380–1389 | Cite as

Impact and Solutions of Seawater Heterogeneity on Wide-Angle Tomographic Inversion of Crustal Velocities in Deep Marine Environments—Numerical Studies

  • Zhihui ZouEmail author
  • Hua-Wei Zhou
  • Harold Gurrola
  • Aifei Bian
  • Zhonglai Huang
  • Jianzhong Zhang
Geophysical Imaging from Subduction Zones to Petroleum Reservoirs

Abstract

The seawater column is typically taken as a homogeneous velocity layer in wide-angle crustal seismic surveys in marine environments. However, heterogeneities in salinity and temperature throughout the seawater layer result insignificant lateral variations in its seismic velocity, especially in deep marine environments. Failure to compensate for these velocity inhomogeneities will introduce significant artifacts in constructing crustal velocity models using seismic tomography. In this study, we conduct numerical experiments to investigate the impact of heterogeneous seismic velocities in seawater on tomographic inversion for crustal velocity models. Experiments that include lateral variation in seawater velocity demonstrated that the modeled crustal velocities were contaminated by artifacts from tomographic inversions when assuming a homogeneous water layer. To suppress such artifacts, we propose two strategies: 1) simultaneous inversion of water velocities and the crustal velocities; 2) layer-stripping inversion during which to first invert for seawater velocity and then correct the travel times before inverting for crustal velocities. The layer-stripping inversion significantly improves the modeling of variation in seawater velocity when preformed with seismic sensors deployed on the ocean bottom and in the water column. Such strategies improve crustal modeling via wide-angle seismic surveys in deep-marine environment.

Key words

deep water seismic tomography wide-angle seismic survey water heterogeneity OBS vertical cable 

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Notes

Acknowledgments

This work was supported by the National Natural Science Foundation of China (No. 41230318), the Natural Science Foundation of Shandong Province (No. ZR2014DM006), the China Postdoctoral Science Foundation (No. 2015M582138), and the Scientific Research Foundation for the Returned Overseas Chinese Scholars, Ministry of Education. The final publication is available at Springer via  https://doi.org/10.1007/s12583-017-0816-7.

References Cited

  1. Armi, L., Hebert, D., Oakey, N., et al., 1989. Two Years in the Life of a Mediterranean Salt Lens. Journal of Physical Oceanography, 19(3): 354–370. https://doi.org/10.1175/1520-0485(1989)019〈0354:tyitlo〉2.0.co;2CrossRefGoogle Scholar
  2. Bertrand, A., MacBeth, C., 2003. Seawater Velocity Variations and Real-Time Reservoir Monitoring. The Leading Edge, 22(4): 351–355. https://doi.org/10.1190/1.1572089CrossRefGoogle Scholar
  3. Bian, A. F., Yu, W. H., 2011. Layer-Stripping Full Waveform Inversion with Damped Seismic Reflection Data. Journal of Earth Science, 22(2): 241–249. https://doi.org/10.1007/s12583-011-0177-6CrossRefGoogle Scholar
  4. Bian, A. F., Zou, Z. H., Zhou, H. W., et al., 2015. Evaluation of Multi-Scale Full Waveform Inversion with Marine Vertical Cable Data. Journal of Earth Science, 26(4): 481–486. https://doi.org/10.1007/s12583-015-0566-3CrossRefGoogle Scholar
  5. Biescas, B., Sallarès, V., Pelegrí, J. L., et al., 2008. Imaging Meddy Finestructure Using Multichannel Seismic Reflection Data. Geophysical Research Letters, 35(11): L11609. https://doi.org/10.1029/2008gl033971CrossRefGoogle Scholar
  6. Biescas, B., Ruddick, B. R., Nedimovic, M. R., et al., 2014. Recovery of Temperature, Salinity, and Potential Density from Ocean Reflectivity. Journal of Geophysical Research: Oceans, 119(5): 3171–3184. https://doi.org/10.1002/2013jc009662Google Scholar
  7. Bornstein, G., Biescas, B., Sallarès, V., et al., 2013. Direct Temperature and Salinity Acoustic Full Waveform Inversion. Geophysical Research Letters, 40(16): 4344–4348. https://doi.org/10.1002/grl.50844CrossRefGoogle Scholar
  8. Chen, H., Xie, X., Mao, K., 2015. Deep-Water Contourite Depositional System in Vicinity of Yi’tong Shoal on Northern Margin of the South China Sea. Earth Science—Journal of China University of Geosciences, 40(4): 733–743 (in Chinese with English Abstract)CrossRefGoogle Scholar
  9. Eakin, D., Holbrook, W. S., Fer, I., 2011. Seismic Reflection Imaging of Large-Amplitude Lee Waves in the Caribbean Sea. Geophysical Research Letters, 38(21): L21601. https://doi.org/10.1029/2011gl049157CrossRefGoogle Scholar
  10. Gailler, A., Klingelhoefer, F., Olivet, J. L., et al., 2009. Crustal Structure of a Young Margin Pair: New Results Across the Liguro–Provencal Basin from Wide-Angle Seismic Tomography. Earth and Planetary Science Letters, 286(1/2): 333–345. https://doi.org/10.1016/j.epsl.2009.07.001CrossRefGoogle Scholar
  11. Han, F. X., Sun, J. G., Wang, K., 2012. The Influence of Sea Water Velocity Variation on Seismic Traveltimes, Ray Paths, and Amplitude. Applied Geophysics, 9(3): 319–325. https://doi.org/10.1007/s11770-012-0344-2CrossRefGoogle Scholar
  12. Holbrook, W. S., Fer, I., Schmitt, R. W., et al., 2013. Estimating Oceanic Turbulence Dissipation from Seismic Images. Journal of Atmospheric and Oceanic Technology, 30(8): 1767–1788. https://doi.org/10.1175/jtech-d-12-00140.1CrossRefGoogle Scholar
  13. Holbrook, W. S., 2003. Thermohaline Fine Structure in an Oceanographic Front from Seismic Reflection Profiling. Science, 301(5634): 821–824. https://doi.org/10.1126/science.1085116CrossRefGoogle Scholar
  14. Huang, X. H., Song, H. B., Luis, M. P., et al., 2011. Ocean Temperature and Salinity Distributions Inverted from Combined Reflection Seismic and XBT Data. Chinese Journal of Geophysics, 54(3): 307–314. https://doi.org/10.1002/cjg2.1613CrossRefGoogle Scholar
  15. Ji, L. L., Lin, M., 2013. Numerical Analysis of the Effect of Mesoscale Eddies on Seismic Imaging. Pure and Applied Geophysics, 170(3): 259–270. https://doi.org/10.1007/s00024-012-0497-1CrossRefGoogle Scholar
  16. Liu, H., Zhou, H. W., Liu, W. G., et al., 2010. Tomographic Velocity Model Building of the near Surface with Velocity-Inversion Interfaces: A Test Using the Yilmaz Model. Geophysics, 75(6): U39–U47. https://doi.org/10.1190/1.3502665CrossRefGoogle Scholar
  17. Ma, X. H., Jing, Z., Chang, P., et al., 2016. Western Boundary Currents Regulated by Interaction between Ocean Eddies and the Atmosphere. Nature, 535(7613): 533–537. https://doi.org/10.1038/nature18640CrossRefGoogle Scholar
  18. MacKay, S., Fried, J., 2002. Removing Distortions Caused by Water Velocity Variations: Method for Dynamic Correction. SEG Technical Program Expanded Abstracts, 21: 2074–2077. https://doi.org/ 10.1190/1.1817110Google Scholar
  19. MacKay, S., Fried, J., Carvill, C., 2003. The Impact of Water-Velocity Variations on Deepwater Seismic Data. The Leading Edge, 22(4): 344–350. https://doi.org/10.1190/1.1572088CrossRefGoogle Scholar
  20. Makris, J., Papoulia, J., McPherson, S., et al., 2012. Mapping of Sediments and Crust Offshore Kenya, East Africa: A Wide Aperture Refraction/Reflection Survey. SEG Technical Program Expanded Abstracts, 31: 1–5. https://doi.org/ 10.1190/segam2012-0426.1Google Scholar
  21. Moser, T. J., 1991. Shortest Path Calculation of Seismic Rays. Geophysics, 56(1): 59–67. https://doi.org/10.1190/1.1442958CrossRefGoogle Scholar
  22. Richardson, P. L., Bower, A. S., Zenk, W., 2000. A Census of Meddies Tracked by Floats. Progress in Oceanography, 45(2): 209–250. https://doi.org/10.1016/s0079-6611(99)00053-1CrossRefGoogle Scholar
  23. Richardson, P. L., Price, J. F., Walsh, D., et al., 1989. Tracking Three Meddies with SOFAR Floats. Journal of Physical Oceanography, 19(3): 371–383. https://doi.org/10.1175/1520-0485(1989)019〈0371:ttmwsf〉2.0.co;2CrossRefGoogle Scholar
  24. Ritter, G. L. D. S., 2010. Water Velocity Estimation Using Inversion Methods. Geophysics, 75(1): U1–U8. https://doi.org/10.1190/1.3280232CrossRefGoogle Scholar
  25. Song, H. B., Luis, P., Wang, D. X., et al., 2009. Seismic Images of Ocean Meso-Scale Eddies and Internal Waves. Chinese Journal of Geophysics, 52(6): 1251–1257. https://doi.org/10.1002/cjg2.1451CrossRefGoogle Scholar
  26. Tian, W., He, M., Yang, Y., et al., 2015. Complex Linkage and Transformation of Boundary Faults of Northern Huizhou Sag in Pearl River Mouth Basin. Earth Science—Journal of China University of Geosciences, 40(12): 2037–2051 (in Chinese with English Abstract)CrossRefGoogle Scholar
  27. Yang, Y., He, G., Zhu, K. et al., 2016. Classification of Seafloor Geological Types of Qianyu Seamount from Mid Pacific Seamounts Using Multibeam Backscatter Intensity Data. Earth Science—Journal of China University of Geosciences, 41(4): 718–728 (in Chinese with English Abstract)CrossRefGoogle Scholar
  28. Zelt, C. A., 1999. Modelling Strategies and Model Assessment for Wide-Angle Seismic Traveltime Data. Geophysical Journal International, 139(1): 183–204. https://doi.org/10.1046/j.1365-246x.1999.00934.xCrossRefGoogle Scholar
  29. Zhou, H. W., 1996. A High-Resolution P wave Model for the Top 1 200 km of the Mantle. Journal of Geophysical Research: Solid Earth, 101(B12): 27791–27810. https://doi.org/10.1029/96jb02487CrossRefGoogle Scholar
  30. Zhou, H. W., 2003. Multiscale Traveltime Tomography. Geophysics, 68(5): 1639–1649. https://doi.org/10.1190/1.1620638CrossRefGoogle Scholar
  31. Zhou, H. W., 2006. Multiscale Deformable-Layer Tomography. Geophysics, 71(3): R11–R19. https://doi.org/10.1190/1.2194519CrossRefGoogle Scholar
  32. Zhou, H. W., 2011. On the Layering Artifacts in Seismic Imageries. Journal of Earth Science, 22(2): 182–194. https://doi.org/10.1007/s12583-011-0171-zCrossRefGoogle Scholar
  33. Zhu, X. H., Angstman, B. G., Sixta, D. P., 1998. Overthrust Imaging with Tomo-Datuming: A Case Study. Geophysics, 63(1): 25–38. https://doi.org/10.1190/1.1444319CrossRefGoogle Scholar
  34. Zou, Z. H., Liu, K., Zhao, W., et al., 2016. Upper Crustal Structure beneath the Northern South Yellow Sea Revealed by Wide-Angle Seismic Tomography and Joint Interpretation of Geophysical Data. Geological Journal, 51(4): 108–122. https://doi.org/10.13039/501100001809CrossRefGoogle Scholar

Copyright information

© China University of Geosciences and Springer-Verlag GmbH Germany, part of Springer Nature 2017

Authors and Affiliations

  1. 1.College of Submarine Geosciences and Prospecting Techniques, MOEOcean University of ChinaQingdaoChina
  2. 2.Evaluation and Detection Technology Laboratory of Marine Mineral ResourcesQingdao National Laboratory for Marine Science and TechnologyQingdaoChina
  3. 3.Department of Earth & Atmospheric SciencesUniversity of HoustonHoustonUSA
  4. 4.Department of GeosciencesTexas Tech UniversityLubbockUSA
  5. 5.Institute of Geophysics and GeomaticsChina University of GeosciencesWuhanChina

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