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Case-Study of Using Unmanned Aerial Vehicles for a Better Characterization of the Barents Sea SubsurfaceNormal access

Authors: J. Ahokas, P. Le Guern, T. Slettemeas, E. Syrdalen, M. Etchebes, B. Marsh and A.C. Ferrari Holme
Event name: First EAGE Workshop on Unmanned Aerial Vehicles
Session: Digital Outcrop Modelling and Analysis I
Publication date: 03 December 2019
DOI: 10.3997/2214-4609.201903328
Organisations: EAGE
Language: English
Info: Extended abstract, PDF ( 5.75Mb )
Price: € 20

Summary:
Over 40 years of exploration in the Barents Sea, significant discoveries have been made in the Upper Permian carbonate successions. Assessing the potential of the Palaeozoic carbonate plays on the Norwegian Barents Sea Shelf is a risky task: the geology is complex and the number of wells penetrating the Palaeozoic formations is limited. One powerful way to mitigate the risk is data integration. Over the past years, Aker BP significantly enhanced in-house expertise by studying outcrops of the Palaeozoic successions exposed along the Svalbard archipelago. The use of Unmanned Aerial Vehicles (UAVs) represents a unique opportunity to acquire crucial information in a safe, non-expensive and environmental-friendly manner. The analysis of the UAVs derived data is key to accelerate and optimize the interpretation of the subsurface. We are proposing to use analog field data such as drone data to improve the chance of success in exploration or field development, by storing and managing the data in a live ecosystem. These data can be contextualized for exploration workflows, interpreted using automated or machine learning tools for improved reservoir characterization – as well as being used directly to train geoscientist on their own analog data through a managed training system.


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