Articles | Volume 21, issue 12
https://doi.org/10.5194/hess-21-6069-2017
https://doi.org/10.5194/hess-21-6069-2017
Research article
 | 
01 Dec 2017
Research article |  | 01 Dec 2017

Multiple-point statistical simulation for hydrogeological models: 3-D training image development and conditioning strategies

Anne-Sophie Høyer, Giulio Vignoli, Thomas Mejer Hansen, Le Thanh Vu, Donald A. Keefer, and Flemming Jørgensen

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Interactive discussion

Status: closed
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) (25 Feb 2017) by Mauro Giudici
AR by Giulio Vignoli on behalf of the Authors (04 May 2017)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (09 May 2017) by Mauro Giudici
RR by Anonymous Referee #1 (18 May 2017)
RR by Anonymous Referee #3 (18 May 2017)
ED: Reconsider after major revisions (further review by Editor and Referees) (02 Jun 2017) by Mauro Giudici
AR by Giulio Vignoli on behalf of the Authors (26 Jun 2017)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (11 Jul 2017) by Mauro Giudici
RR by Anonymous Referee #5 (18 Aug 2017)
RR by Anonymous Referee #2 (21 Aug 2017)
ED: Publish subject to minor revisions (further review by Editor) (03 Sep 2017) by Mauro Giudici
AR by Giulio Vignoli on behalf of the Authors (25 Sep 2017)  Author's response    Manuscript
ED: Publish subject to minor revisions (further review by Editor) (07 Oct 2017) by Mauro Giudici
AR by Giulio Vignoli on behalf of the Authors (12 Oct 2017)  Author's response    Manuscript
ED: Publish subject to technical corrections (17 Oct 2017) by Mauro Giudici
AR by Giulio Vignoli on behalf of the Authors (17 Oct 2017)  Author's response    Manuscript
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Short summary
We present a novel approach for 3-D geostatistical simulations. It includes practical strategies for the development of realistic 3-D training images and for incorporating the diverse geological and geophysical inputs together with their uncertainty levels (due to measurement inaccuracies and scale mismatch). Inputs consist of well logs, seismics, and an existing 3-D geomodel. The simulation domain (45 million voxels) coincides with the Miocene unit over 2810 km2 across the Danish–German border.