Dachang Li's dissertation
by
Dachang Li, Ph.D.
University of Texas at Austin, 1995
Supervisor: Larry W. Lake
This dissertation presents a general procedure of inspectional analysis that derives
the minimum number of the most succinct form of independent dimensionless groups.
Two new geostatistic tools, a moving window semi-variance estimator and a type curve
approach to estimating p for a p-normal transformation, have been developed to provide
more precise reservoir heterogeneity description. Based on inspectional analysis and
geostatistic techniques, this dissertation presents, for the first time, a general
method to scale immiscible and miscible flows through heterogeneous permeable media.
The concepts of heterogeneity and scale have been clarified , and heterogeneity
scaling groups have been separated from flow scaling groups. The causes of the
inefficiency for the East Velma West Block Sims Sand Unit located in the south central
part of Stephens County, Oklahoma, have been determined by using the scaling results
in conjunction with reservoir simulation, and possible remedial actions have been
recommended.
A new method for absolute permeability upscaling is presented. The method, referred
to as global upscaling, focuses on the spatial connections within a global
permeability field. Conventional methods, referred to as local upscaling,
concentrate on local areas which can lead to loss of geologically important structural
information. The method has been implemented in a three-dimensional algorithm that
uses a moving window technique to detect boundaries of large permeability variance and
then constructs a coarse-scale grid. The gridding method produces locally refined
Cartesian grids for the upscaled model. Based on the global upscaling concept, this
dissertation has developed a new approach for relative permeability and capillary
pressure upscaling. The technique uses a table of "shock velocity" values that are
correlated with a universal heterogeneity number and the effective aspect ratio of a
residual permeability field. This table look-up eliminates the need for fine-grid
numerical simulation. The approach has the potential to be a significant improvement
over existing upscaling methods that require extensive fine-grid simulation. Water
flood and tracer flood simulation on several 2D and 3D examples show that the global
method reproduces the fine-grid flow behavior better than local upscaling methods.
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