Probabilistic modeling and global sensitivity analysis for CO 2 storage in geological formations: a spectral approach

Published

Journal Article

© 2017 Elsevier Inc. This work focuses on the simulation of CO 2 storage in deep underground formations under uncertainty and seeks to understand the impact of uncertainties in reservoir properties on CO 2 leakage. To simulate the process, a non-isothermal two-phase two-component flow system with equilibrium phase exchange is used. Since model evaluations are computationally intensive, instead of traditional Monte Carlo methods, we rely on polynomial chaos (PC) expansions for representation of the stochastic model response. A non-intrusive approach is used to determine the PC coefficients. We establish the accuracy of the PC representations within a reasonable error threshold through systematic convergence studies. In addition to characterizing the distributions of model observables, we compute probabilities of excess CO 2 leakage. Moreover, we consider the injection rate as a design parameter and compute an optimum injection rate that ensures that the risk of excess pressure buildup at the leaky well remains below acceptable levels. We also provide a comprehensive analysis of sensitivities of CO 2 leakage, where we compute the contributions of the random parameters, and their interactions, to the variance by computing first, second, and total order Sobol’ indices.

Full Text

Duke Authors

Cited Authors

  • Saad, BM; Alexanderian, A; Prudhomme, S; Knio, OM

Published Date

  • January 1, 2018

Published In

Volume / Issue

  • 53 /

Start / End Page

  • 584 - 601

International Standard Serial Number (ISSN)

  • 0307-904X

Digital Object Identifier (DOI)

  • 10.1016/j.apm.2017.09.016

Citation Source

  • Scopus