Application of Direct Sampling multi-point statistic and sequential gaussian simulation algorithms for modelling uncertainty in gold deposits
Y van der Grijp, RCA Minnitt
The applicability of a stochastic approach to the simulation of gold
distribution to assess the uncertainty of the associated mineralization is
examined. A practical workflow for similar problems is proposed. Two
different techniques are explored in this research: a Direct Sampling
multi-point simulation algorithm is used for generating realizations of
lithologies hosting the gold mineralization, and sequential Gaussian
simulation is applied to generate multiple realizations of gold distributions
within the host lithologies. A range of parameters in the Direct
Sampling algorithm is investigated to arrive at good reproducibility of
the patterns found in the training image. These findings are aimed at
assisting in the choice of appropriate parameters when undertaking the
simulation step. The resulting realizations are analysed in order to
assess the combined uncertainty associated with the lithology and gold
mineralization.
Keywords: Direct Sampling, multi-point statistics, MPS simulation, training image,
uncertainty in gold deposits.