1887

Abstract

Summary

To meet the global targets for wind power deployment by 2030—estimated to require over 2,000 GW of total installed capacity to stay on track for net-zero emissions by 2050 (IEA, 2023)—the industry must rapidly scale up the development of wind farms in a cost-effective and timely manner. A critical factor in achieving this is a robust understanding of subsurface conditions, including geotechnical parameters and design-relevant behaviors.

A key enabler in this process is the quantitative joint interpretation of ultra-high-resolution seismic (UHRS) data and geotechnical investigations, which can significantly enhance subsurface mapping accuracy and reduce uncertainties. This, in turn, supports better decision-making throughout the project lifecycle.

In this presentation, we will examine three recent and diverse offshore wind projects, illustrating the role of integrated ground modeling in various project phases:

  • Early-phase projects with sparse, low-quality data
  • Mid-to-late-stage developments characterized by dense, high-quality datasets Each case presents unique challenges and opportunities, shaped by data availability, project maturity, and decision timelines.

We will demonstrate how effective, quantitative ground modeling can support:

  • Early and mid-stage design and planning of geotechnical campaigns
  • Later-stage design processes, including robust uncertainty analysis and risk mitigation
Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.202575013
2025-10-15
2026-01-12
Loading full text...

Full text loading...

References

  1. DNV. (2021). DNV-RP-C207 Statistical representation of soil data. Oslo: Det Norske Veritas.
    [Google Scholar]
  2. HansenM.B., SørensenL.S., Colberg-LarsenJ., MaiaA., DuarteH, StuytsB., DalgaardE [2024] Bridging the gap between seismic acquisition and geotechnical parameterisation, GEO EXPRO 2–2024, Volume 2170–72.
    [Google Scholar]
  3. Karkov, K.H., Dalgaard, E., Diaz, A.T., Duarte, H., Hansen, H.J., Hviid, S., Høegh van Gilse, N.C., Krogh, L., Kuppens, S., Salaün, G., Correia, F. [2022] Case Study: AVO Inversion and Processing of Ultra-High Resolution Seismic for a Windfarm Application, 83rd EAGE Annual Conference & Exhibition, Jun 2022. Volume 2022 1–5. DOI: 10.3997/2214‑4609.202210942
    https://doi.org/10.3997/2214-4609.202210942 [Google Scholar]
/content/papers/10.3997/2214-4609.202575013
Loading
/content/papers/10.3997/2214-4609.202575013
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