Verifying the high-order consistency of training images with data for multiple-point geostatistics

Computers and Geosciences

Volumn 70, Issue , 2014, Pages 190-205

  Pérez, Cristian ^a,b   Mariethoz, Gregoire ^c,d   Ortiz, Julián M ^a,b  

^a UNIVERSITY OF CHILE   (Chile)

^b UNIVERSITY OF CHILE   (Chile)

^c UNIVERSITY OF NEW SOUTH WALES   (Australia)

^d NATIONAL CENTRE FOR GROUNDWATER RESEARCH AND TRAINING   (Australia)

Author keywords

Direct sampling; Inference; Multiple point statistics; Selection; Sensitivity analysis; Training image

Indexed keywords

INFORMATION SYSTEMS; SENSITIVITY ANALYSIS;

DIRECT SAMPLING; INFERENCE; MULTIPLE-POINT STATISTICS; SELECTION; TRAINING IMAGE;

GEOLOGY; SENSITIVITY ANALYSIS;

GEOSTATISTICS; NUMERICAL MODEL; SAMPLING; SENSITIVITY ANALYSIS; VARIOGRAM; IMAGE ANALYSIS; MINING; MODELING; ORE DEPOSIT; SPATIAL ANALYSIS;

EID: 84903616703     PISSN: 00983004     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cageo.2014.06.001     Document Type: Article

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