| Autor: |
Adrian Linsel, Kristian Bär, Joshua Haas, Jens Hornung, Matthias D. Greb, Matthias Hinderer |
| Jazyk: |
angličtina |
| Rok vydání: |
2020 |
| Předmět: |
|
| Zdroj: |
SoftwareX, Vol 12, Iss , Pp 100597- (2020) |
| Druh dokumentu: |
article |
| ISSN: |
2352-7110 |
| DOI: |
10.1016/j.softx.2020.100597 |
| Popis: |
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. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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