September 5, 2025

Pathways to Zero-Emission Operations on the Norwegian Continental Shelf

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The framework forecasts energy demand and GHG emissions using machine learning, enabling effective decision-making.
Mean absolute percentage error was 4.20% for forecasts, demonstrating robust accuracy in predicting carbon costs.
Six decarbonization technology categories evaluated reveal significant potential for emissions reduction and efficiency improvements.
Adaptability of the framework allows for broader application in diverse offshore regions beyond Norway's Continental Shelf.

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Decision-support framework quantifies decarbonization strategies in offshore oil and gas, suggesting pathways for reduced emissions.

Husdal et al. (2025) studied this question.

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