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Reinforcement Learning Enables Field-Development Policy Optimization

Language: Inglés Publication details: sept. 2021Description: 2 p. ; 46-47 In: Journal of Petroleum Technology
Item type: Artículo de Revista
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Biblioteca Alejandro Angel Bulgheroni Not for loan 200066547

This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper SPE 201254, "Reinforcement Learning for Field-Development Policy Optimization," by Giorgio De Paola, SPE, and Cristina Ibanez-Llano, Repsol, and Jesus Rios, IBM, et al., prepared for the 2020 SPE Annual Technical Conference and Exhibition, originally scheduled to be held in Denver, Colorado, 5-7 October. The paper has not been peer reviewed.

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