(1) Geomodeling Technology Corp, Calgary, AB
ABSTRACT: Bridge the Missing Scales in Reservoir Heterogeneity Modeling
we present a process-oriented simulation method focusing on sub-seismic small-scale heterogeneity in order to bridge the missing scales in the conventional practice of reservoir geomodeling. The prevailing practice ignores small-scale heterogeneity less than meters of scale. If simple averaging methods are used to derive statistics from well log or core data without considering small-scale heterogeneity, the mean, variance, and variogram used for full field heterogeneity simulations are questionable, leaving a great uncertainty in the production profile forecasting and history match.
Solving the missing scale problems is the major objective of the SBED workflow, which improves and complements conventional approaches in reservoir geomodeling by bridging the missing heterogeneity scales from core, well log, seismic and full-field geomodeling grid.
SBED generates digital rocks that are high-resolution porosity and permeability models for each types of bedding structures. This is carried for each lithofacies in the reservoir model. Measure the effective properties of individual SBED “digital rocks”. This is made for multiple realizations of SBED models. Upscaled statistics from the digital rocks, such as mean and variance, as well as the upscaled porosity-permeability relations can be derived, in addition to empirical relations between Kv/Kh and net-to-gross ratio.
The SBED digital rocks are generated by a process-oriented simulation algorithm. In this method we have successfully formulated deterministic geological process in a stochastic framework, so that realistic geological scenarios can be generated based on conceptual models and conditional data.
AAPG Search and Discovery Article #90026©2004 AAPG Annual Meeting, Dallas, Texas, April 18-21, 2004.