Comparison of different prediction methods to derive synthetic CPT profiles – an offshore wind farm case study from the German North Sea

Siemann, Lennart & MASOUDI, Pedram & Maraka, Rajeswar & Opris, Raluca & Pande, Yashwardhan & Stange, Nikolas & Morales, Natasha & Mörz, Tobias. (2024).

Comparison of Different Prediction Methods to Derive Synthetic CPT Profiles – An Offshore Wind Farm Case Study from the German North Sea.

10.23967/isc.2024.233.

Abstract

The further development of offshore windfarm areas in various countries plays a key role in the transition of energy production towards renewable sources. As offshore windfarm areas tend to expand and the amount of ground truth data is limited, the estimation of geotechnical parameters at unknown locations integrating other site investigation data becomes a necessary tool. This is especially relevant for cost-efficient area-wide site characterization. Here, the proper integration and correlation of geotechnical and geophysical data are key to building a reliable ground model. This study investigates different prediction methods, while presenting a modeling framework that incorporates geological, geotechnical, and geophysical information to derive synthetic Cone Penetration Testing (CPT) profiles using offshore windfarm site investigation data from the German North Sea. We combine geological interpretation, CPT data, and 2D ultra-high-resolution seismic reflection data. Geophysical and geological information is used to guide geotechnical parameter prediction. Additionally, seismic horizons constrain the prediction as structural information. For evaluation, we test and compare several prediction techniques with varying levels of complexity, ranging from geostatistical methods to machine learning. Seismic attributes are used as auxiliary information to improve CPT parameter prediction. To validate the results, CPT parameters are predicted onto a representative 2D seismic line, and a leave-one-out cross-validation (blind test) is performed. Though all methods struggle to replicate local extremes, results indicate a reduction of prediction uncertainty when implementing seismic attributes.

Keywords

Synthetic CPT; site characterization; offshore wind; data integration