Probabilistic modeling and simulation of CO2 storage in heterogeneous geological formations

Okhulkova, Tatiana; Clouteau, Didier; Cottereau, Régis; Farret, Régis

doi:10.1201/b16387-124

Cited by 1 publication

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The entire problem is solved for 1.5 · 10 5 degrees of freedom. A lognormal random field of permeability introduced into the model [5] has the following characteristics: the mean value and standard deviation are 10 −13 m 2 and 4.9 · 10 −27 m 2 for the horizontal component; 10 −14 m 2 and 4.9 · 10 −28 m 2 respectively for the vertical component; correlation function in the form of a squared cardinal sine is chosen with correlation lengths ( x , y , z ) = (50 m, 50 m, 20 m).…”

Section: Numerical Implementationmentioning

confidence: 99%

Coupling 3d and Rotation Invariant Probabilistic Models for Two-Phase Flows in Random Media.

Okhulkova¹,

Clouteau²,

Cottereau³

et al. 2015

Proceedings of the 1st International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECO

View full text Add to dashboard Cite

Abstract. Modeling and simulation of two-phase flows in a porous random media is a highly challenging task due the non-linearity of the wetting process, the time and space scales at stake and the very large spatial variability and anisotropy of the intrinsic permeability. In the particular case of an injection problem being statistically invariant for any rotation around the axis of the well a coupled 3D/rotation-invariant probabilistic model is proposed following the methodology introduced in [1] and [2]. The idea of a variational coupling between a probabilistic local model and a deterministic or probabilistic model is developed here in the context of a coupling along a surface and not over a volume. 3D/2D coupling is also considered. The implementation in a general purpose Finite Element Code is then addressed and illustrated in the context of Risk assessment of geological storage of carbon dioxide.126

show abstract

Section: Numerical Implementationmentioning

confidence: 99%