Excerpts taken from abstracts in CIM Journal, Vol. 4, No. 2. To subscribe, to submit a paper or to be a peer reviewer—www.cim.org
Geostatistical modelling of particle size distributions in the McMurray formation
J.G. Manchuk, Centre for Computational Geostatistics, University of Alberta, Edmonton, Alberta; O. Babak, Total E&P Canada Ltd., Calgary, Alberta;
and C.V. Deutsch, Centre for Computational Geostatistics, University of Alberta, Edmonton, Alberta
ABSTRACT 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 modelling. This paper addresses PSD modelling 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 an yields good results that reproduce input statistics without introducing artifacts.