Gaussian Process Modelling for Uncertainty Quantification in Convectively-Enhanced Dissolution Processes in Porous Media

Crevillen-Garcia, D., Wilkinson, R.D. orcid.org/0000-0001-7729-7023, Shah, A.A. et al. (1 more author) (2017) Gaussian Process Modelling for Uncertainty Quantification in Convectively-Enhanced Dissolution Processes in Porous Media. Advances in Water Resources, 99. pp. 1-14. ISSN 0309-1708

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Copyright, Publisher and Additional Information: © 2016 Elsevier Ltd. This is an author produced version of a paper subsequently published in Advances in Water Resources. 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: Convectively-enhanced dissolution; Partial differential equations with random inputs; Multiple solutions and bifurcation; Gaussian process emulation and classification; Uncertainty quantification
Dates:
  • Accepted: 7 November 2016
  • Published (online): 9 November 2016
  • Published: January 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: 09 Nov 2016 09:27
Last Modified: 09 Nov 2017 01:38
Published Version: https://doi.org/10.1016/j.advwatres.2016.11.006
Status: Published
Publisher: Elsevier
Refereed: Yes
Identification Number: https://doi.org/10.1016/j.advwatres.2016.11.006

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