Articles | Volume 12, issue 1
https://doi.org/10.5194/gmd-12-1-2019
https://doi.org/10.5194/gmd-12-1-2019
Development and technical paper
 | 
02 Jan 2019
Development and technical paper |  | 02 Jan 2019

GemPy 1.0: open-source stochastic geological modeling and inversion

Miguel de la Varga, Alexander Schaaf, and Florian Wellmann

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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
AR by Miguel de la Varga on behalf of the Authors (24 Jul 2018)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (03 Aug 2018) by Lutz Gross
RR by Anonymous Referee #2 (27 Aug 2018)
RR by Sally Cripps (25 Sep 2018)
ED: Publish subject to minor revisions (review by editor) (06 Oct 2018) by Lutz Gross
AR by Miguel de la Varga on behalf of the Authors (10 Oct 2018)  Author's response   Manuscript 
ED: Publish subject to minor revisions (review by editor) (14 Nov 2018) by Lutz Gross
AR by Miguel de la Varga on behalf of the Authors (15 Nov 2018)  Author's response   Manuscript 
ED: Publish as is (16 Nov 2018) by Lutz Gross
AR by Miguel de la Varga on behalf of the Authors (27 Nov 2018)
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Short summary
GemPy is an open-source Python-based 3-D structural geological modeling software, which allows the implicit (i.e. automatic) creation of complex geological models from interface and orientation data. GemPy is implemented in the programming language Python, making use of a highly efficient underlying library, Theano, for efficient code generation that performs automatic differentiation. This enables the link to probabilistic machine-learning and Bayesian inference frameworks.