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Surface restoration as a means to characterize transverse fault slip uncertainty

Abstract : Proper understanding and mapping of a geological domain calls for a good characterization of fault slip. Several fault displacements can be proposed to explain a given geometry of the three-dimensional geological model. Most approaches ignore this, and assume a fixed direction of fault slip, for instance along the main dipping line. Instead, we propose to generate several fault displacement models that all conform to available geometrical data and a given structural deformation style. The method uses sequential Monte-Carlo sampling to simulate fault displacement vectors on a geological horizon; balanced restoration is run to compute the likelihood of the fault net slip. Acceptable models are selected using the Metropolis-Hastings algorithm. This procedure allows selecting the best model of fault displacements given the retained structural style. Alternatively, the fault throw configurations obtained can be input in a global uncertainty assessment workflow. To assess the uncertainty of fault properties (e.g., shale-gouge ratio), and of stratigraphic transforms such as the geo-chronological parameterization. The sampling method is demonstrated on a complex, heavily-faulted stratigraphic model. A discussion on the principle of parsimony and deterministic versus stochastic modeling is included.
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https://hal.univ-lorraine.fr/hal-03169290
Contributor : Guillaume Caumon <>
Submitted on : Monday, March 15, 2021 - 11:20:48 AM
Last modification on : Tuesday, March 16, 2021 - 9:51:20 AM

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  • HAL Id : hal-03169290, version 1

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Guillaume Caumon, Pierre Muron. Surface restoration as a means to characterize transverse fault slip uncertainty. Gocad Meeting, Jun 2006, Nancy, France. ⟨hal-03169290⟩

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