Articles | Volume 22, issue 10
https://doi.org/10.5194/hess-22-5485-2018
https://doi.org/10.5194/hess-22-5485-2018
Research article
 | 
24 Oct 2018
Research article |  | 24 Oct 2018

Contributions to uncertainty related to hydrostratigraphic modeling using multiple-point statistics

Adrian A. S. Barfod, Troels N. Vilhelmsen, Flemming Jørgensen, Anders V. Christiansen, Anne-Sophie Høyer, Julien Straubhaar, and Ingelise Møller

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Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (further review by editor and referees) (06 Jun 2018) by Jesús Carrera
AR by Adrian A.S. Barfod on behalf of the Authors (15 Aug 2018)  Author's response   Manuscript 
ED: Publish subject to minor revisions (further review by editor) (17 Aug 2018) by Jesús Carrera
AR by Adrian A.S. Barfod on behalf of the Authors (27 Aug 2018)  Author's response   Manuscript 
ED: Publish subject to technical corrections (09 Oct 2018) by Jesús Carrera
AR by Adrian A.S. Barfod on behalf of the Authors (10 Oct 2018)  Manuscript 
Short summary
The focus of this study is on the uncertainty related to using multiple-point statistics (MPS) for stochastic modeling of the upper 200 m of the subsurface. The main research goal is to showcase how MPS methods can be used on real-world hydrogeophysical data and show how the uncertainty related to changing the underlying MPS setup propagates into the finalized 3-D subsurface models.