Integrated and data Science-informed seabed characterisation for optimised foundation design

M. P. O'Neill, A. L. Osuchowski, Y. Cai, M. F. Bransby, P. G. Watson, C. Gaudin, J. Doherty, E. Dalgaard, R. Ross

Research output: Contribution to journalArticlepeer-review


Unlike traditional offshore oil and gas projects which generally involve a limited number of structures and are confined to a relatively small seabed footprint, renewable energy projects such as offshore wind farms can comprise many tens or even hundreds of structures dispersed across an extensive area. Driven by the need for offshore wind to reduce costs while also minimising project risk, there is currently a strong focus within the offshore industry on identifying new ways to extract the full benefit from all available site investigation data and carry this benefit through to engineering design. This paper provides a demonstration of two such approaches that utilise geo-data from offshore Western Australia, potentially representative of conditions of future offshore wind farms; the first is an integrated approach combining geophysical and geotechnical data through a seismic inversion process, while the second encompasses statistical analysis of geotechnical cone penetrometer and soil strength test data combined with a Bayesian compressive sampling-based spatial interpolation method. The demonstrations yielded useful findings about the methodologies and associated input requirements. It is envisaged this work will lead to the development of an efficient integrated framework for interpreting geo-data that will inform future offshore site investigation and geotechnical design practice.

Original languageEnglish
Article number115095
JournalOcean Engineering
Publication statusPublished - 15 Sept 2023


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