GeoReVi: A knowledge discovery and data management tool for subsurface characterization
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...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2020-07-01
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| Series: | SoftwareX |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352711020303101 |
| _version_ | 1818726743710629888 |
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| author | Adrian Linsel Kristian Bär Joshua Haas Jens Hornung Matthias D. Greb Matthias Hinderer |
| author_facet | Adrian Linsel Kristian Bär Joshua Haas Jens Hornung Matthias D. Greb Matthias Hinderer |
| author_sort | Adrian Linsel |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-17T22:03:04Z |
| format | Article |
| id | doaj.art-20ff93fadca6434286a70079bd9485b6 |
| institution | Directory Open Access Journal |
| issn | 2352-7110 |
| language | English |
| last_indexed | 2024-12-17T22:03:04Z |
| publishDate | 2020-07-01 |
| publisher | Elsevier |
| record_format | Article |
| series | SoftwareX |
| spelling | doaj.art-20ff93fadca6434286a70079bd9485b62022-12-21T21:30:55ZengElsevierSoftwareX2352-71102020-07-0112100597GeoReVi: A knowledge discovery and data management tool for subsurface characterizationAdrian Linsel0Kristian Bär1Joshua Haas2Jens Hornung3Matthias D. Greb4Matthias Hinderer5Technische Universität Darmstadt, Institute of Applied Geosciences, 64287 Darmstadt, Germany; Corresponding author.Technische Universität Darmstadt, Institute of Applied Geosciences, 64287 Darmstadt, GermanyTechnische Universität Darmstadt, Institute of Applied Geosciences, 64287 Darmstadt, GermanyTechnische Universität Darmstadt, Institute of Applied Geosciences, 64287 Darmstadt, GermanyDevon Energy, Oklahoma City, OK, United StatesTechnische Universität Darmstadt, Institute of Applied Geosciences, 64287 Darmstadt, GermanySubsurface 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.http://www.sciencedirect.com/science/article/pii/S2352711020303101Visual analyticsSubsurface characterizationSpatial data miningKnowledge discovery in databases |
| spellingShingle | Adrian Linsel Kristian Bär Joshua Haas Jens Hornung Matthias D. Greb Matthias Hinderer GeoReVi: A knowledge discovery and data management tool for subsurface characterization SoftwareX Visual analytics Subsurface characterization Spatial data mining Knowledge discovery in databases |
| title | GeoReVi: A knowledge discovery and data management tool for subsurface characterization |
| title_full | GeoReVi: A knowledge discovery and data management tool for subsurface characterization |
| title_fullStr | GeoReVi: A knowledge discovery and data management tool for subsurface characterization |
| title_full_unstemmed | GeoReVi: A knowledge discovery and data management tool for subsurface characterization |
| title_short | GeoReVi: A knowledge discovery and data management tool for subsurface characterization |
| title_sort | georevi a knowledge discovery and data management tool for subsurface characterization |
| topic | Visual analytics Subsurface characterization Spatial data mining Knowledge discovery in databases |
| url | http://www.sciencedirect.com/science/article/pii/S2352711020303101 |
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