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Has AI been applied to CO2 mobility modeling in shale oil reservoirs?

Are there existing applications of artificial intelligence for simulating CO2 flow and storage in shale reservoirs?

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By Adi Answered 1 year ago

Yes, AI is increasingly used in this field. Machine learning techniques, particularly neural networks and ensemble methods (like random forests), are applied to model the complex multiphase flow and transport of CO? in shale. They analyze core data, well logs, and production history to predict mobility and storage efficiency, complementing traditional physics-based simulations. Challenges include data scarcity and the "black box" nature of models. Research from entities like NETL and publications in journals like Fuel and International Journal of Greenhouse Gas Control document these applications.

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