1887

Abstract

Summary

The development of many offshore wind-farms around the world is one way to reduce CO2 emissions in the atmosphere. Each new offshore wind-energy site needs to be characterized to find the optimal locations for the monopiles or other wind-turbine infrastructure. For a global investigation this characterization is usually done with seismic surveys, in order to get a good view on the first 100m of the subsurface. The main seismic parameter that can be well defined from acoustic reflection measurements is the P-wave velocity of the subsurface layers, while the subsurface strength is much better coupled to the shear wave velocity or the related shear-wave modulus. One way to obtain such information from marine reflection seismic data is via AVO information embedded in PP reflections. However, the typical low values for the S-wave velocities in the first 10s of meters below the sea-bottom make it not a favorable parameter to estimate. Therefore, based on synthetic data modeling, the feasibility of estimated S-wave velocity information from marine reflection data is investigated. Different scenarios with varying maximum offset are investigated, where the conclusion is that the ability to retrieve accurate S-wave velocity information is limited, but can be improved by acquiring more offsets

Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.2025101472
2025-06-02
2026-02-08
Loading full text...

Full text loading...

References

  1. Aki, K. and Richards, P.G [2002] Quantitative Seismology, 2nd Edition, University Science Books.
    [Google Scholar]
  2. Cox, P., Boylan, C, Smith, C, Dalgaard, E., Horn, F., Stuyts, B., Bronkhorst, J., Wezenberg, S., Dyer, N., Blacker, K. [2024] AVO-compliant Processing and Elastic Pre-Stack Inversion of UHRS Data at Nederwiek Wind Farm Site I. 5th EAGE Global Energy Transition Conference, 5 pp.
    [Google Scholar]
  3. Kelsay, A., Siemann, L., Gisolf, D., Werpup Oguro, A., Doulgeris, P, Ramadan, M. and Morales, N. [2024] Application of Wave Equation-Based inversion for geotechnical characterization in offshore wind farm site investigations, 5th EAGE Global Energy Transition Conference, 5 pp.
    [Google Scholar]
  4. Gisolf, A. [2016] Parametrization for reservoir oriented AVO inversion, 78th EAGE conference and exhibition, Eur. Ass. of Geosc. and Eng., Expanded abstracts, 5pp.
    [Google Scholar]
  5. Monrigal, O., De Jong, I. and Duarte, H. [2017] An ultra‐high‐resolution 3D marine seismic system for detailed site investigation, Near Surface Geophysics, 15(4), 335–345.
    [Google Scholar]
  6. Power, P. T., Clare, M., Rushton, D., and Rattley, M. [2011] Reducing geo-risks for offshore Developments, Geotechnical Safety and Risk. ISGSR 2011, 217–224.
    [Google Scholar]
  7. Robertson, P.K. [1990] Soil classification using the cone penetration test. Canadian Geotechnical Journal, 27, 151–158.
    [Google Scholar]
/content/papers/10.3997/2214-4609.2025101472
Loading
/content/papers/10.3997/2214-4609.2025101472
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