A Bayesian mixture-modeling approach for flow-conditioned multiple-point statistical facies simulation from uncertain training images

Water Resources Research

Volumn 49, Issue 1, 2013, Pages 328-342

  Khodabakhshi, Morteza ^a   Jafarpour, Behnam ^b  

^a Texas AandM University   (United States)

^b University of Southern California ^*  (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN MIXTURE MODEL; CONNECTIVITY STRUCTURES; ENSEMBLE KALMAN FILTER; MULTIPLE-POINT STATISTICS; NON-LINEAR INVERSE PROBLEM; POSTERIOR DISTRIBUTIONS; STRUCTURAL CONNECTIVITY; STRUCTURAL VARIABILITY;

HIGHER ORDER STATISTICS; INVERSE PROBLEMS; MIXTURES; SPACE APPLICATIONS; STRUCTURAL GEOLOGY;

COMPUTER SIMULATION;

BAYESIAN ANALYSIS; CONNECTIVITY; ENSEMBLE FORECASTING; FACIES; FLUVIAL GEOMORPHOLOGY; GEOLOGICAL STRUCTURE; IMAGE ANALYSIS; INVERSE ANALYSIS; KALMAN FILTER; PARAMETERIZATION; PROBABILITY; SAMPLING;

EID: 84876518886     PISSN: 00431397     EISSN: 19447973     Source Type: Journal    
DOI: 10.1029/2011WR010787     Document Type: Article

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