Application of Wave Equation-Based Inversion for Geotechnical Characterization in Offshore Wind Farm Site Investigations

This paper explores the use of Wave Equation-Based (WEB-AVO) Inversion for the prediction of Cone Penetration Test (CPT) profiles in the N07-02 offshore wind farm area in the German North Sea. The study employs inversion of synthetic models, that mimic ultra-high-resolution seismic (UHRS) data, to derive bulk and shear moduli information, which are then utilized by a supervised learning algorithm to estimate cone resistance and friction ratio at two blind wells.
Despite initial data constraints, the integrated methodology successfully identified the elastic parameters that could be reliably inverted in scenarios with restricted seismic offsets, and provided adequate estimations for CPT parameters. The approach aims to reduce the uncertainty of ground models during the site investigation phase of wind farm development.