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GeoReVi: A knowledge discovery and data management tool for subsurface characterization

Linsel, A. and Bär, K. and Haas, J. and Hornung, Jens and Greb, M. and Hinderer, Matthias (2020):
GeoReVi: A knowledge discovery and data management tool for subsurface characterization.
In: SoftwareX, 12, Elsevier, ISSN 2352-7110,
DOI: 10.1016/j.softx.2020.100597,
[Article]

Abstract

Subsurface characterization is an interdisciplinary and multidimensional problem requiring contribution from numerous geoscientific and technical domains. In order to optimize and automate the process of subsurface characterization and structural modeling we developed a modular, open-source software system called GeoReVi (Geological Reservoir Virtualization). The tool implements the knowledge discovery in databases (KDD) process and utilizes techniques from visual analytics for interactive, interdisciplinary, database-bound knowledge discovery and communication. Multidimensional data sets – produced in subsurface and outcrop analog studies – can be imported, shared, transformed, projected, analyzed, modeled, grouped and visualized interactively in a custom-made graphical user interface. The underlying data model facilitates domain experts to efficiently work in multi-user environments. The knowledge discovery potential is illustrated with an exemplary case study.

Item Type: Article
Erschienen: 2020
Creators: Linsel, A. and Bär, K. and Haas, J. and Hornung, Jens and Greb, M. and Hinderer, Matthias
Title: GeoReVi: A knowledge discovery and data management tool for subsurface characterization
Language: English
Abstract:

Subsurface characterization is an interdisciplinary and multidimensional problem requiring contribution from numerous geoscientific and technical domains. In order to optimize and automate the process of subsurface characterization and structural modeling we developed a modular, open-source software system called GeoReVi (Geological Reservoir Virtualization). The tool implements the knowledge discovery in databases (KDD) process and utilizes techniques from visual analytics for interactive, interdisciplinary, database-bound knowledge discovery and communication. Multidimensional data sets – produced in subsurface and outcrop analog studies – can be imported, shared, transformed, projected, analyzed, modeled, grouped and visualized interactively in a custom-made graphical user interface. The underlying data model facilitates domain experts to efficiently work in multi-user environments. The knowledge discovery potential is illustrated with an exemplary case study.

Journal or Publication Title: SoftwareX
Journal volume: 12
Publisher: Elsevier
Uncontrolled Keywords: Visual analytics, Subsurface characterization, Spatial data mining, Knowledge discovery in databases
Divisions: 11 Department of Materials and Earth Sciences
11 Department of Materials and Earth Sciences > Earth Science
11 Department of Materials and Earth Sciences > Earth Science > Geothermal Science and Technology
11 Department of Materials and Earth Sciences > Earth Science > Applied Sedimentary Geology
Date Deposited: 12 Oct 2020 05:42
DOI: 10.1016/j.softx.2020.100597
Official URL: http://www.sciencedirect.com/science/article/pii/S2352711020...
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