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

Linsel, Adrian ; Bär, Kristian ; Haas, Joshua ; Hornung, Jens ; Greb, Matthias D. ; Hinderer, Matthias (2021):
GeoReVi: A knowledge discovery and data management tool for subsurface characterization. (Publisher's Version)
In: SoftwareX, 12, Elsevier, ISSN 2352-7110,
DOI: 10.26083/tuprints-00018660,
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Item Type: Article
Origin: Secondary publication via sponsored Golden Open Access
Status: Publisher's Version
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
Collation: 8 Seiten
Classification DDC: 500 Naturwissenschaften und Mathematik > 550 Geowissenschaften
Divisions: 11 Department of Materials and Earth Sciences > Earth Science
Date Deposited: 09 Aug 2021 08:10
Last Modified: 09 Aug 2021 08:10
DOI: 10.26083/tuprints-00018660
Corresponding Links:
URN: urn:nbn:de:tuda-tuprints-186603
URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/18660
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