Increased demand for renewable energy sources is driving the growth of offshore wind farms and in turn, the need for accurate identification of shallow geohazards. Here, we show how acquiring 3D Ultra High Resolution (3DUHR) seismic data from the outset in offshore wind farm planning and applying readily available workflows is accelerating renewable energy projects.
This case study shows how techniques used in deep hydrocarbon reservoir characterisation can be transferred and applied in offshore wind farm design and planning to identify shallow geohazards. Additionally, to highlight that acquiring 3DUHR from the outset will reduce overall costs, reduce risk and increase safety in engineering operations.
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Being able to extract valuable geological information from the 3DUHR seismic as opposed to existing exploration data has huge implications in offshore wind farm placement. Having a massively enhanced visualisation and understanding of the shallow subsurface will significantly improve safety during installation, help make more informed decisions in wind turbine location and reduce overall project costs and length.
Combining artificial intelligence
Perth, Australia
Machine Learning Faults
Perth, Australia
AI software
Perth, Australia