Surface-Based 3D Modeling of Geological Structures

Building a 3D geological model from field and subsurface data is a typical task in geological studies involving natural resource evaluation and hazard assessment. However, there is quite often a gap between research papers presenting case studies or specific innovations in 3D modeling and the object...

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Veröffentlicht in:Mathematical geosciences Jg. 41; H. 8; S. 927 - 945
Hauptverfasser: Caumon, G., Collon-Drouaillet, P., Le Carlier de Veslud, C., Viseur, S., Sausse, J.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Berlin/Heidelberg Springer-Verlag 01.11.2009
Springer
Springer Nature B.V
Springer Verlag
Schlagworte:
3-D graphics
Areal geology
Areal geology. Maps
Chemistry and Earth Sciences
Computer Science
Earth and Environmental Science
Earth Sciences
Earth, ocean, space
Exact sciences and technology
Geologic maps, cartography
Geological structures
Geology
Geotechnical Engineering & Applied Earth Sciences
Hydrogeology
Modeling and Simulation
Natural resources
Physics
Quality control
Sciences of the Universe
Statistics for Engineering
Surface roughness
Teaching Aids
Tectonics. Structural geology. Plate tectonics
France
Europe
Western Europe
Visualization
3D earth modeling
Structural geology
Interpretation
Geomodeling
models
triangulation
cross sections
maps
software
natural resources
quality controls
fracture networks
case studies
subsurface
faults
structural geology
interpretation
mathematical methods
three-dimensional models
ISSN:1874-8961, 1874-8953
Online-Zugang:Volltext
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Zusammenfassung:Building a 3D geological model from field and subsurface data is a typical task in geological studies involving natural resource evaluation and hazard assessment. However, there is quite often a gap between research papers presenting case studies or specific innovations in 3D modeling and the objectives of a typical class in 3D structural modeling, as more and more is implemented at universities. In this paper, we present general procedures and guidelines to effectively build a structural model made of faults and horizons from typical sparse data. Then we describe a typical 3D structural modeling workflow based on triangulated surfaces. Our goal is not to replace software user guides, but to provide key concepts, principles, and procedures to be applied during geomodeling tasks, with a specific focus on quality control.
Bibliographie:SourceType-Scholarly Journals-1
ObjectType-Feature-1
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ISSN:1874-8961
1874-8953
DOI:10.1007/s11004-009-9244-2