Articles | Volume 11, issue 4
https://doi.org/10.5194/se-11-1457-2020
https://doi.org/10.5194/se-11-1457-2020
Method article
 | 
05 Aug 2020
Method article |  | 05 Aug 2020

Uncertainty assessment for 3D geologic modeling of fault zones based on geologic inputs and prior knowledge

Ashton Krajnovich, Wendy Zhou, and Marte Gutierrez

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Cited articles

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Allmendinger, R. W.: Modern Structural Practice, A structural geology laboratory manual for the 21st Century, 1.9.0 edn., Cornell University, New York, USA, 2015. a
Anderson, E. D., Zhou, W., Li, Y., Hitzman, M. W., Monecke, T., Lang, J. R., and Kelley, K. D.: Three-dimensional distribution of igneous rocks near the Pebble porphyry Cu-Au-Mo deposit in southwestern Alaska: Constraints from regional-scale aeromagnetic data, Geophysics, 79, B63–B79, https://doi.org/10.1190/geo2013-0326.1, 2014. a, b
Aydin, O. and Caers, J. K.: Quantifying structural uncertainty on fault networks using a marked point process within a Bayesian framework, Tectonophysics, 712–713, 101–124, https://doi.org/10.1016/j.tecto.2017.04.027, 2017. a, b
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Short summary
In this paper, a novel methodology of 3D geologic model uncertainty assessment that considers both input data and prior knowledge is developed and applied to characterize fault zones – areas of damaged rock surrounding a fault surface that are important to subsurface engineering projects. The results of the study demonstrate how existing frameworks can be expanded to incorporate new types of information to arrive at a realistic and straightforward model of fault zone geometry in the subsurface.