Bias evaluated structural and probabilistic subsurface modelling: a case study of the Münsterland Basin, NW Germany

Marius Pischke , Alexander Magnus Jüstel , Frank Strozyk, Peter Kukla & Florian Wellmann
The analysis of uncertainties in the description of the subsurface is an important aspect for resource exploration and material storage. Because of the complexity of the subsurface and an often inhomogeneous data situation, models exhibit several aspects of uncertainties. These may be caused by the interpolation of locally sparse data and must be considered when constraining a structural geological model. Further, these interpolations may be subject to errors caused by psychological biases, which need to...
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