Bayesian Partition Models for Subsurface Characterization

Yalchin Efendiev*, A. Datta-Gupta, K. Hwang, X. Ma, B. Mallick

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

4 Scopus citations
Original languageEnglish (US)
Title of host publicationLarge-Scale Inverse Problems and Quantification of Uncertainty
PublisherJohn Wiley and Sons
Number of pages16
ISBN (Print)9780470697436
StatePublished - Oct 12 2010


  • Algorithm two-stage MCMC
  • Bayesian Partition Model (BPM)
  • Bayesian partition models - for subsurface characterization
  • Model equations and problem setting
  • New Bayesian approach, BPM in surface fitting - splitting space into unknown number of disjoint regions
  • Permeability field realizations
  • Reversible Jump Markov chain Monte Carlo (RJ-MCMC) methods
  • Simulation based Markov chain Monte Carlo (MCMC method) - from probability distribution samples
  • Transient pressure response, tracer or production history - preferential flow path or flow barriers
  • Uncertainties, of reservoir lithofacies, porosity, and permeability - and uncertainty in reservoir performance forecasting

ASJC Scopus subject areas

  • Mathematics(all)

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