Automated Monte Carlo-based quantification and updating of geological uncertainty with borehole data (AutoBEL v1.0)

Yin, Zhen; Strebelle, Sebastien; Caers, Jef

doi:https://doi.org/10.5194/gmd-13-651-2020

Articles | Volume 13, issue 2

https://doi.org/10.5194/gmd-13-651-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-13-651-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 13, issue 2

Development and technical paper

|

19 Feb 2020

Development and technical paper |

| 19 Feb 2020

Automated Monte Carlo-based quantification and updating of geological uncertainty with borehole data (AutoBEL v1.0)

Zhen Yin, Sebastien Strebelle, and Jef Caers

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Final revised paper (published on 19 Feb 2020)
Preprint (discussion started on 22 Oct 2019)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'Review of manuscript by Yin et al.', Anonymous Referee #1, 19 Nov 2019
- AC1: 'Responses to interactive comments from Referee #1 (RC1)', Zhen Yin, 10 Jan 2020
SC1: 'comments and questions on “Automated Monte Carlo-based Quantiﬁcation and Updating of Geological Uncertainty with Borehole Data (AutoBEL v1.0)"', Tao Feng, 06 Dec 2019
- AC2: 'Responses to interactive comments from referee Tao Feng (SC1)', Zhen Yin, 10 Jan 2020
- AC1: 'Responses to interactive comments from Referee #1 (RC1)', Zhen Yin, 10 Jan 2020
SC2: 'Review comments on "Automated Monte Carlo-based Quantification and Updating of Geological Uncertainty with Borehole Data"', Dexiang Li, 16 Dec 2019
- AC4: 'Responses to interactive comments from referee Dexiang Li (SC2)', Zhen Yin, 10 Jan 2020
- AC1: 'Responses to interactive comments from Referee #1 (RC1)', Zhen Yin, 10 Jan 2020
RC2: 'Comments on ``Automated Monte Carlo-based Quantification and Updating of Geological Uncertainty with Borehole Data (AutoBEL v1.0)''', Guillaume Caumon, 27 Dec 2019
- AC3: 'Responses to interactive comments from Guillaume Caumon (RC2)', Zhen Yin, 10 Jan 2020
- AC1: 'Responses to interactive comments from Referee #1 (RC1)', Zhen Yin, 10 Jan 2020

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Zhen Yin on behalf of the Authors (15 Jan 2020) Author's response Manuscript

ED: Publish as is (20 Jan 2020) by Thomas Poulet

AR by Zhen Yin on behalf of the Authors (21 Jan 2020) Manuscript

Short summary

We provide completely automated Bayesian evidential learning (AutoBEL) for geological uncertainty quantification. AutoBEL focuses on model falsification, global sensitivity analysis, and statistical learning for joint model uncertainty reduction by borehole data. Application shows fast and robust uncertainty reduction in geological models and predictions for large field cases, showing its applicability in subsurface applications, e.g., groundwater, oil, gas, and geothermal or mineral resources.