Hybrid Newton method for the acceleration of well event handling in the simulation of CO2 storage using supervised learning - Archive ouverte HAL
Pré-Publication, Document De Travail Année : 2023

Hybrid Newton method for the acceleration of well event handling in the simulation of CO2 storage using supervised learning

Résumé

CO 2 geological storage is an essential instrument for efficient Carbon Capture and Storage policies. Numerical simulations provide the solution to the multiphase flow equations that model the behavior of the CO 2 injection site.
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Dates et versions

hal-04085358 , version 1 (28-04-2023)
hal-04085358 , version 2 (07-06-2023)
hal-04085358 , version 3 (21-09-2023)

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Identifiants

  • HAL Id : hal-04085358 , version 3

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Antoine Lechevallier, Sylvain Desroziers, Thibault Faney, Eric Flauraud, Frédéric Nataf. Hybrid Newton method for the acceleration of well event handling in the simulation of CO2 storage using supervised learning. 2023. ⟨hal-04085358v3⟩
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