Date of Award
Bachelor of Science Honours
Faculty of Communications, Health and Science
Dr Lyn Bloom
Dr Ute Mueller
Simulation methods are now used extensively for estimation and prediction in mining and petroleum industries and also in environmental management. In this thesis we describe the method of simulated annealing and examine in detail the GSLIB implementation algorithm SASJM. In the context of two case studies involving both sample and exhaustive data sets, we demonstrate this algorithm and then investigate the effect on the outcome of varying the different algorithm parameters. We also consider the effect of varying the weighting given in the simulated annealing objective function to the reproduction of each of the sample histogram and semivariogram. For the two case studies, we implement also the more commonly used method of Sequential Gaussian Simulation and compare the results with those obtained from Simulated Annealing.
Wells, W. (2002). Using Simulated Annealing in Geostatistics. Retrieved from http://ro.ecu.edu.au/theses_hons/542