Assessing and Communicating Geological Model Uncertainty

References

1. Bianchi, M., Kearsey, T. and Kingdon, A., [2015] Integrating Deterministic Lithostratigraphic Models in Stochastic Realizations of Subsurface Heterogeneity. Impact on Predictions of Lithology, Hydraulic Heads and Groundwate. Fluxes.,” Journal of Hydrology531((3)), 557–573.
   [Google Scholar]
2. Cave, M.R. and Wood, B. [2002] Approaches to the Measurement of Uncertainty in Geoscience Data Modelling. British Geological Survey Internal Report IR/02/068.
   [Google Scholar]
3. Lark, R.M. Thorpe, S., Kessler, H. and Mathers, S.J. [2014a] Interpretative Modelling of a Geological Cross Section from Boreholes: Sources of Uncertainty and Their Quantification. Solid Earth, 5, 1189–1203.
   [Google Scholar]
4. Lark, R.M., Mathers, S.J., Marchant, A. and Hulbert, A. [2014b] An Index to Represent Lateral Variation of the Confidence of Experts in a 3-D Geological Model. Proceedings of the Geologists Association, 125, 267–278.
   [Google Scholar]
5. Lelliott, M.R., Cave, M.R. and Wealthall, G.P. [2009] A Structured Approach to the Measurement of Uncertainty in 3D Geological Models. Quarterly Journal of Engineering Geology and Hydrogeology, 42, 95–105.
   [Google Scholar]
6. Strebelle, S., [2002] Conditional Simulation of Complex Geological Structures using Multiple-Poin. Statistics.,” Mathematical Geology34((1)), 1–21.
   [Google Scholar]
7. Turner, A.K., Kessler, H. and van der Meulen, M.J. [2020] Applied Multidimensional Geological Modeling.Wiley-Blackwell, Hoboken NJ.
   [Google Scholar]
8. Weissmann, G.S., Carle, S.F. and Fogg, G.E. [1999] Three-Dimensional Hydrofacies Modeling Based on Soil Surveys and Transition Probability Geostatistics. Water Resources Research, 35, 1761–1770.
   [Google Scholar]
9. Wellmann, F. and Caumon, G. [2018] 3-D Structural Geological Models: Concepts, Methods, and Uncertainties. Advances in Geophysics, 59, 1–121. Academic Press (Elsevier).
   [Google Scholar]
10. Wellmann, F. and Regenauer-Lieb, K. [2012] Uncertainties have a Meaning: Information Entropy as a Quality Measure for 3-D Geological Models. Tectonophysics, 526–529, 207–216.
    [Google Scholar]