1887

Abstract

Summary

The development of renewable energy resources in a marine environment needs to consider the seabed geological conditions that will control the safe development of seabed installations and cable corridors. In shallow marine environments, surface and guided waves present in ocean-bottom sensor and streamer seismic data acquired for deep exploration are considered a source of information that can be exploited by a variety of well-established geophysical solutions for characterizing the seabed. Here, we discuss a workflow for the analysis and joint inversion of surface and guided waves, and we list derived shallow parameters that can provide critical information to project proponents and regulators for the safe development of marine renewable energy.

Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.202221112
2022-11-07
2024-04-25
Loading full text...

Full text loading...

References

  1. Boiero, D., Wiarda, E. and Vermeer, P. [2013] Surface- and guided-wave inversion for near-surface modeling in land and shallow marine seismic data. The Leading Edge, 32, 638–646.
    [Google Scholar]
  2. BoieroD., Garofalo, F. and Vermeer, P.L. [2015] Near-surface Q Estimation from Surface Waves and Compensation for its Effects on Body Waves. 77th EAGE Conference & Exhibition, Extended Abstracts.
    [Google Scholar]
  3. Ramani, K., Rickett, J., Smith, P., Cooke, A., Narayan, A., Chrustek, G. and Watterson, P. [2022] Mitigating Impact of Wave-Height on Ultra-High Resolution Seismic Data Processing. 83rd EAGE Conference & Exhibition, Extended Abstracts.
    [Google Scholar]
  4. Re, S., Strobbia, C., De Stefano, M. and Virgilio, M. [2010] Simultaneous Joint Inversion of Refracted And Surface Waves. 80th SEG Annual Meeting, Extended Abstracts, 1914–1918.
    [Google Scholar]
  5. Sauvin, G., Vanneste, M. and Madshus, C. [2018] High-Resolution Quantitative Ground-Model for Shallow Subsurface. 3rd Applied Shallow Marine Geophysics Conference, Extended Abstracts.
    [Google Scholar]
  6. Sauvin, G., Vanneste, M., Vardy, M.E., Klinkvort, R.T. and Forsberg, C. F. [2019] Machine Learning and Quantitative Ground Models for Improving Offshore Wind Site Characterization. Offshore Technology Conference, Extended Abstracts.
    [Google Scholar]
  7. Strobbia, C., Laake, A., Vermeer, P. and Glushchenko, A. [2011] Surface waves: use them then lose them. Surface-wave analysis, inversion, and attenuation in land reflection seismic surveying. Near Surface Geophysics, 9, 503–514.
    [Google Scholar]
  8. Hue Le, T.M., Eiksund, G.R., Strøm, P.J. and Saue, M. [2014] Geological and geotechnical characterisation for offshore wind turbine foundations: A case study of the Sheringham Shoal wind farm. Engineering Geology, 177, 40–53.
    [Google Scholar]
http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.202221112
Loading
/content/papers/10.3997/2214-4609.202221112
Loading

Data & Media loading...

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error