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<identifier>oai:HAL:hal-01467240v1</identifier>
<datestamp>2018-01-11</datestamp>
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<publisher>HAL CCSD</publisher>
<title lang=en>Numerical modelling of CO2 injection at small-scale field experimental site in Maguelone, France</title>
<creator>Basirat, Farzad</creator>
<creator>Fagerlund, Fritjof</creator>
<creator>DENCHIK, Nataliya</creator>
<creator>PEZARD, Philippe</creator>
<creator>Niemi, Auli</creator>
<contributor>Uppsala University</contributor>
<contributor>Géosciences Montpellier ; Université des Antilles et de la Guyane (UAG) - Institut national des sciences de l'Univers (INSU - CNRS) - Université de Montpellier (UM) - Centre National de la Recherche Scientifique (CNRS)</contributor>
<contributor>Transferts en milieux poreux ; Géosciences Montpellier ; Université des Antilles et de la Guyane (UAG) - Institut national des sciences de l'Univers (INSU - CNRS) - Université de Montpellier (UM) - Centre National de la Recherche Scientifique (CNRS) - Université des Antilles et de la Guyane (UAG) - Institut national des sciences de l'Univers (INSU - CNRS) - Université de Montpellier (UM) - Centre National de la Recherche Scientifique (CNRS)</contributor>
<description>International audience</description>
<source>ISSN: 1750-5836</source>
<source>International Journal of Greenhouse Gas Control</source>
<publisher>Elsevier</publisher>
<identifier>hal-01467240</identifier>
<identifier>https://hal.archives-ouvertes.fr/hal-01467240</identifier>
<source>https://hal.archives-ouvertes.fr/hal-01467240</source>
<source>International Journal of Greenhouse Gas Control, Elsevier, 2016, 54, pp.200-210. 〈10.1016/j.ijggc.2016.09.006〉</source>
<identifier>DOI : 10.1016/j.ijggc.2016.09.006</identifier>
<relation>info:eu-repo/semantics/altIdentifier/doi/10.1016/j.ijggc.2016.09.006</relation>
<language>en</language>
<subject lang=en>CO2 storage</subject>
<subject lang=en>CO2 injection</subject>
<subject lang=en>Shallow aquifer</subject>
<subject lang=en>Downhole and pressure monitoring</subject>
<subject lang=en>Numerical simulation</subject>
<subject lang=en>Heterogeneity</subject>
<subject lang=en>Electrical resistivity</subject>
<subject lang=en>Downhole geophysical monitoring</subject>
<subject>[SDU.STU.GP] Sciences of the Universe [physics]/Earth Sciences/Geophysics [physics.geo-ph]</subject>
<type>info:eu-repo/semantics/article</type>
<type>Journal articles</type>
<description lang=en>To evaluate the performance of downhole and surface geophysical monitoring methods, a series of shallow gas injection-monitoring experiments has been performed in a coastal saline aquifer at Maguelone, France. The recorded data include pressure measurements with a Westbay multilevel completion and CO2 saturation at an observation well derived from electrical resistivity with a modified Waxman-Smits (MWS) model. In this work, the aim is to develop a simulation model capturing the gas transport behavior and consistent with field data. For this purpose, the simulation of the CO2 injection experiment is carried out with two conceptual models, a homogeneous model and a heterogeneous model treated with multiple realization Monte Carlo simulations. Numerical simulator TOUGH2 with the equation of state module EOS7C is used for the simulations. Comparison of the model results with field data suggests that the pressure responses are captured with relatively good accuracy. Similarly, the model also provides an overall reasonable agreement and correct order of magnitude for predicted gas saturation values. However, as the heterogeneity pattern in the field data remains largely unknown, the model predictions can only be used to capture the mean behavior as well as to provide insights into how heterogeneity can influence the system behavior, by means of sensitivity analyses of the influence of heterogeneities on individual realizations.</description>
<date>2016-11</date>
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