Machine learning approaches for CO2 geological storage monitoring: autoencoders for solving the problems of acquisitions repeatability

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SPIRE - Sciences Po Institutional REpository
Published
2025-12-02
Primary Topic
CO2 Sequestration and Geologic Interactions
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article
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article

Machine learning approaches for CO2 geological storage monitoring: autoencoders for solving the problems of acquisitions repeatability

Hélène Barucq, Stefano Frambati, Manon Sarrouilhe, Henri Calandra
SPIRE - Sciences Po Institutional REpository
CO2 Sequestration and Geologic Interactions
article

Machine learning approaches for CO2 geological storage monitoring: autoencoders for solving the problems of acquisitions repeatability

Hélène Barucq, Stefano Frambati, Manon Sarrouilhe, Henri Calandra
article en

Abstract

No abstract available for this paper.
SPIRE - Sciences Po Institutional REpository
Université de Pau et des Pays de l'Adour (FR), Fondation de Coopération Scientifique (FR)
Openalex Percentile: Top 39%
CO2 Sequestration and Geologic Interactions
OpenAlex
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Machine learning approaches for CO2 geological storage monitoring: autoencoders for solving the problems of acquisitions repeatability — Hélène Barucq, Stefano Frambati, et al. · SPIRE - Sciences Po Institutional REpository (2025) | TGRS Research Map | TGRS