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.
In: SoftwareX, 2020, 12
doi: 10.26083/tuprints-00018660
Article, Secondary publication, Publisher's Version
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Item Type: | Article |
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Type of entry: | Secondary publication |
Title: | GeoReVi: A knowledge discovery and data management tool for subsurface characterization |
Language: | English |
Date: | 2021 |
Year of primary publication: | 2020 |
Publisher: | Elsevier |
Journal or Publication Title: | SoftwareX |
Volume of the journal: | 12 |
Collation: | 8 Seiten |
DOI: | 10.26083/tuprints-00018660 |
Corresponding Links: | |
Origin: | Secondary publication via sponsored Golden Open Access |
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. |
Status: | Publisher's Version |
URN: | urn:nbn:de:tuda-tuprints-186603 |
Classification DDC: | 500 Science and mathematics > 550 Earth sciences and geology |
Divisions: | 11 Department of Materials and Earth Sciences > Earth Science |
Date Deposited: | 09 Aug 2021 08:10 |
Last Modified: | 09 Aug 2021 08:10 |
URI: | https://tuprints.ulb.tu-darmstadt.de/id/eprint/18660 |
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