Gaussian Process Emulators for Quantifying Uncertainty in CO2 Spreading Predictions in Heterogeneous Media

Tian, L., Wilkinson, R.D. orcid.org/0000-0001-7729-7023, Yang, Z. et al. (3 more authors) (2017) Gaussian Process Emulators for Quantifying Uncertainty in CO2 Spreading Predictions in Heterogeneous Media. Computers and Geosciences. ISSN 0098-3004

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Copyright, Publisher and Additional Information: © 2017 Elsevier. This is an author produced version of a paper subsequently published in Computers and Geosciences. Uploaded in accordance with the publisher's self-archiving policy. Article available under the terms of the CC-BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/4.0/)
Keywords: Permeability heterogeneity; Karhunen-Loève expansion; Monte Carlo; Uncertainty analysis; Gaussian process emulator
Dates:
  • Published (online): 25 April 2017
  • Accepted: 23 April 2017
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Science (Sheffield) > School of Mathematics and Statistics (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 27 Apr 2017 09:27
Last Modified: 25 Apr 2019 00:38
Published Version: https://doi.org/10.1016/j.cageo.2017.04.006
Status: Published online
Publisher: Elsevier
Refereed: Yes
Identification Number: https://doi.org/10.1016/j.cageo.2017.04.006

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