Surface restoration as a means to characterize transverse fault slip uncertainty
Guillaume Caumon and Pierre Muron. ( 2006 )
in: Gocad Meeting, Association Scientifique pour la G{\'e}ologie et ses Applications (ASGA)
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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BibTeX Reference
@inproceedings{caumon:hal-03169290, 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.}, address = {Nancy, France}, author = {Caumon, Guillaume and Muron, Pierre}, booktitle = {{Gocad Meeting}}, hal_id = {hal-03169290}, hal_version = {v1}, month = {June}, pdf = {https://hal.univ-lorraine.fr/hal-03169290v1/file/CaumonMuron_uncert_restor.pdf}, publisher = {{Association Scientifique pour la G{\'e}ologie et ses Applications (ASGA)}}, title = {{Surface restoration as a means to characterize transverse fault slip uncertainty}}, url = {https://hal.univ-lorraine.fr/hal-03169290}, volume = {26}, year = {2006} }