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
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 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
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