Hybrid Newton method for the acceleration of well event handling in the simulation of CO2 storage using supervised learning - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Preprints, Working Papers, ... Year : 2023

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

Abstract

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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Nonlinear Sciences [physics] Computer Science [cs]
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Antoine Lechevallier  : Connect in order to contact the contributor

https://hal.science/hal-04085358

Submitted on : Thursday, September 21, 2023-5:16:27 PM

Last modification on : Friday, April 26, 2024-1:55:35 PM

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Dates and 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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  • 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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