Towards stochastic modelling of folds in poly-deformed terranes from structural data

L. J. Grose, G. Laurent, L. Ailleres, M. Jessell, G. Caumon

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearch

Abstract

We present a data-driven parametric approach for modelling folds in poly-deformed terranes using an implicit scheme honouring structural geology concepts. Our method allows for more structural elements (e.g. foliations and lineations) and overprinting relationships to be incorporated into the modelling process. The geometry of folds are defined by structural parameters, which are obtained using geostatistical processes for each fold generation. We propose using this fold modelling method with a stochastic approach. Structural uncertainties are evaluated by varying interpolator parameters to generate a series of possible structural models. Variability between models is quantified using local statistical methods that highlight areas of the models which are most variable. A suite of possible models incorporating structural concepts are produced to sample the structural uncertainty.

Original languageEnglish
Title of host publicationProceedings of IAMG 2015 - 17th Annual Conference of the International Association for Mathematical Geosciences
EditorsHelmut Schaeben, Raimon Tolosana Delgado, K. Gerald van den Boogaart , Regina van den Boogaart
PublisherInternational Association for Mathematical Geology (IAMG)
Pages475-481
Number of pages7
Volume1
ISBN (Electronic)9783000503375
ISBN (Print) 9781510849297
Publication statusPublished - 2015
EventAnnual Conference of the International-Association-for-Mathematical-Geosciences (IAMG) 2015 - Freiberg, Germany
Duration: 6 Sep 201510 Sep 2015
Conference number: 17th
https://www.iamg.org/index.php/publisher/articleview/frmArticleID/142/

Conference

ConferenceAnnual Conference of the International-Association-for-Mathematical-Geosciences (IAMG) 2015
Abbreviated titleIAMG 2015
CountryGermany
CityFreiberg
Period6/09/1510/09/15
Internet address

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