Geostatistical modeling of particle size distributions in the McMurray formation
CIM Journal, Vol. 4, No. 2, 2013
J. G. Manchuk
Centre for Computational Geostatistics, University of Alberta, Edmonton, AB
O. Babak
Total E&P Canada Ltd., Calgary, AB
C. V. Deutsch
Centre for Computational Geostatistics, University of Alberta, Edmonton, AB
A significant factor in evaluating bitumen recovery from an oil sands mine is the particle size distribution (PSD). Increased understanding of mined ore quality and improvement in predictions of recovery can be achieved through PSD modeling. This paper addresses PSD modeling using geostatistics. PSDs may be described using many discrete particle sizes, making this a challenge. The approach parameterizes PSDs with a few statistics. A lookup table is used to reconstruct the PSDs based on models of the statistics. The workflow is applied to Total E&P Canada's Joslyn Lease and yields good results that reproduce input statistics without introducing artifacts
