Large-scale Impact of CO2 Storage Operations: Dealing with Computationally Intensive Simulations for Global Sensitivity Analysis

Jeremy Rohmer (1) , Benoit Issautier (1) , Christophe Chiaberge (1) , Pascal Audigane (1)

1 BRGM - Bureau de Recherches Géologiques et Minières (BRGM)

Assessing the potential impacts associated with CO 2 storage operations implies using large-scale models characterized by a very large number of grid cells (>500,000) and high computation time cost (> several hours). Yet, investigating the influence of the input parameters on the model results requires multiple simulations (>1,000), which might become impracticable due to the computation burden. A meta-modelling strategy is then proposed, basically consisting in approximating the long running model by a costless-to-evaluate model, for instance a Gaussian Process, based on a very limited number of simulations (e.g., 50). This strategy is tested to investigate the sensitivity of the overpressure induced by an industrial-scale CO 2 injection into a fluvial heterogeneous reservoir, to the properties of the shale formation using a 3-dimensional long running multiphase flow model (with CPU time > 5 days).

Mots clés: Industrial-scale CO2 -Carlo-based technique; Long running simulations; Metamodel; Gaussian process

Domaines: Sciences de la Terre

Jeremy Rohmer, Benoit Issautier, Christophe Chiaberge, Pascal Audigane. Large-scale Impact of CO2 Storage Operations: Dealing with Computationally Intensive Simulations for Global Sensitivity Analysis. Energy Procedia, 2013, 37, pp.3883 - 3890. ⟨10.1016/j.egypro.2013.06.286⟩. ⟨hal-03662821⟩