000			01496nab a2200205 4500
005			20260520001755.0
008			260224s2009 xxu
245	0	0	_aStochastic surface modeling of deepwater depositional systems for improved reservoir models
260			_a _b _csept. 2009
270			_a14/06/2010 ; 11/06/2010
300			_a17 p. ; 118-134
520			_aTranscripción del resumen del autor. High resolution reservoir models are often required for resource assessment and reservoir management. The reservoir models must reproduce geologically realistic heterogeneity that may affect predictions. An important heterogeneity in many deepwater depositional systems consists of facies variations controlled by geological events that lead to lobe geometries. A surface-based geostatistical scheme is presented to model high resolution lobes and their associated stacking patterns in a geometrically realistic manner. The lobes are constrained to match well data. Facies, porosity and permeability are then modeled within the lobe framework. Application to a reservoir with 36 wells demonstrates the practical applicability of the approach. This surface-based method may be readily extended to model other geometries in various reservoir settings.
581			_a1-2
773	0		_tJournal of Petroleum Science & Engineering _g68
942			_cARTICULO
100	1		_aZhang, X. _942597
100	1		_aPyrcz, M.J. _942598
100	1		_aDeutsch, C.V. _913831
999			_c170952 _d170952