2004
DOI: 10.2516/ogst:2004044
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Conditioning an Underground Gas Storage Site to Well Pressures

Abstract: Résumé -Calage d'un site de stockage de gaz par des données de pression -Cet article concerne la modélisation d'un site souterrain de stockage de gaz, situé près de Paris (France), en considérant simultanément les données géologiques et les pressions mesurées aux puits. L'historique de production disponible comprend deux périodes. Le gaz coussin est injecté pendant une première période, qui s'étale sur sept ans. Il s'agit avant tout d'une période de remplissage. La deuxième période, d'une durée de dix ans, est… Show more

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Cited by 6 publications
(4 citation statements)
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“…The GDM has been successfully applied in a number of real cases at the field scale (Feraille et al, 2003;Le Ravalec-Dupin et al, 2004;Roggero et al, 2007;Pourpak et al, 2009;Schaaf et al, 2009) and at the core scale (Soltani et al, 2010). Its GC variant turned out also to be efficient for building a constrained model representative of the Äspö Hard Rock Laboratory, Sweden (LlopisAlbert and Capilla, 2010).…”
Section: Local Gradual Deformationmentioning
confidence: 97%
“…The GDM has been successfully applied in a number of real cases at the field scale (Feraille et al, 2003;Le Ravalec-Dupin et al, 2004;Roggero et al, 2007;Pourpak et al, 2009;Schaaf et al, 2009) and at the core scale (Soltani et al, 2010). Its GC variant turned out also to be efficient for building a constrained model representative of the Äspö Hard Rock Laboratory, Sweden (LlopisAlbert and Capilla, 2010).…”
Section: Local Gradual Deformationmentioning
confidence: 97%
“…Any permissible autocovariance model may be considered and, given that the random and deterministic components of the algorithm are separated in the spatial, rather than in the wavenumber, domain, local re-simulations of specific areas of the model grid are possible. The latter cannot be done with standard power spectral simulation techniques (e.g., Ikelle, 1993) and has led to the common application of FFT-MA for stochastic modeling and inversion (e.g., Le Ravalec-Dupin et al, 2004;Le Ravalec and Mouche, 2012;Liang and Marcotte, 2016;Yang and Zhu, 2017;Lauzon and Marcotte, 2019).…”
Section: Generation Of Conditional Porosity Realizationsmentioning
confidence: 99%
“…Any permissible autocovariance model may be considered and, given that the random and deterministic components of the algorithm are separated in the spatial, rather than in the wavenumber, domain, local re-simulations of specific areas of the model grid are possible. The latter cannot be done with standard power spectral simulation techniques (e.g., Ikelle, 1993) and has led to the common application of FFT-MA for stochastic modeling and inversion (e.g., Le Ravalec-Dupin et al, 2004;Le Ravalec and Mouche, 2012;Liang and Marcotte, 2016;Yang and Zhu, 2017;Lauzon and Marcotte, 2019).…”
Section: Generation Of Conditional Porosity Realizationsmentioning
confidence: 99%