A machine learning framework for rapid forecasting and history matching in unconventional reservoirs
We present a novel workflow for forecasting production in unconventional reservoirs using reduced-order models and machine-learning. Our physics-informed machine-learning workflow addresses the ...
“In this article, the author name ‘Doğuhan Sarıtürk’ was incorrectly written as ‘Doğuhan Sarítürk’. The original article has been corrected.” ...
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