Validating 3-D structural models with geological knowledge for improved uncertainty evaluations

J. Florian Wellmann, Mark Lindsay, Jonathan Poh, Mark Jessell

Research output: Contribution to journalArticleResearch

23 Citations (Scopus)


Several stochastic approaches have recently been developed to evaluate uncertainties in 3-D geological models based on imprecise geological data. Multiple models are generated through random changes of input parameters, according to defined probability distributions. This leads to a new problem: randomly generated realizations might be topologically different or they might be in contrast to expected geological constraints or settings. We present here a method to enable automatic checks of models based on reliability filters encapsulating aspects of geological knowledge. We apply those filters to a model of a graben structure and obtain an ensemble of acceptable realizations, representing the range of uncertainty, but preserving expected geological features.

Original languageEnglish
Pages (from-to)374-381
Number of pages8
JournalEnergy Procedia
Publication statusPublished - 2014
Externally publishedYes


  • 3-D Geomodelling
  • Geological Knowledge
  • Reliability Filters
  • Uncertainties

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