Abstract
In this chapter, we introduce geological data visualization techniques and discuss how these techniques can be applied to the subsidence analysis and visualization of a sedimentary basin. Geoscientific data are often sparsely distributed over wide study areas, therefore data interpolation is required to generate comprehensive maps. We examine five commonly used methods for surface reconstruction, which are Linear, Natural, Cubic Spline, Thin-Plate Spline as well as Ordinary Kriging. We discuss their usage and individual interpolation characteristics and further exemplify their application in a case study for the total and tectonic subsidence of the Vienna Basin. BasinVis, a MATLABĀ®-based program, is used to visualize sedimentary infill and subsidence evolution of the study area. This case study introduces the application and advantages of 2D and 3D visualization in basin subsidence study. In addition, we discuss limitations of surface interpolation and provide guidelines to avoid misinterpretation of data in uncertain regions of reconstructed subsidence maps.
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Lee, E.Y., Novotny, J., Wagreich, M. (2019). Subsidence Visualization. In: Subsidence Analysis and Visualization. SpringerBriefs in Petroleum Geoscience & Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-76424-5_3
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DOI: https://doi.org/10.1007/978-3-319-76424-5_3
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