Parameterization of training images for aquifer 3-D facies modeling integrating geological interpretations and statistical inference

Water Resources Research

Volumn 50, Issue 10, 2014, Pages 7731-7749

  Jha, Sanjeev Kumar ^a   Comunian, Alessandro ^a,b   Mariethoz, Gregoire ^a,c,d   Kelly, Bryce F J ^a  

^a UNIVERSITY OF NEW SOUTH WALES   (Australia)

^b UNIVERSITY OF MILAN   (Italy)

^c GEOLOGICAL INSTITUTE   (Switzerland)

^d UNIVERSITY OF LAUSANNE   (Switzerland)

Author keywords

3 D geological modeling; 3 D training image; alluvial; direct sampling; hydrogeology; Multiple point statistics

Indexed keywords

AQUIFERS; BOREHOLES; CATCHMENTS; HYDROGEOLOGY; MATHEMATICAL TRANSFORMATIONS; SAMPLING; STOCHASTIC SYSTEMS; WELL LOGGING;

3-D GEOLOGICAL MODELS; ALLUVIAL; DIRECT SAMPLING; MULTIPLE-POINT STATISTICS; TRAINING IMAGE;

STOCHASTIC MODELS;

BIOTRANSFORMATION; BOREHOLE LOGGING; CATCHMENT; GEOMETRY; GEOSTATISTICS; HYDROGEOLOGY; NUMERICAL MODEL; PARAMETERIZATION; STATISTICAL ANALYSIS; STOCHASTICITY; THREE-DIMENSIONAL MODELING; VARIOGRAM;

AUSTRALIA; MAULES CREEK; NEW SOUTH WALES;

EID: 84911092039     PISSN: 00431397     EISSN: 19447973     Source Type: Journal    
DOI: 10.1002/2013WR014949     Document Type: Article

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