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The AAPG/Datapages Combined Publications Database
Houston Geological Society Bulletin
Abstract
Abstract: Locating Remaining Oil in Carbonate Reservoirs: The
Reservoir Characterization Problem
Senior Research Scientist,
Bureau of Economic Geology,
The University of Texas at Austin
Only a small percentage of original oil in place (OOIP) is
produced during primary production from most carbonate
reservoirs. Secondary recovery programs, such as waterflooding,
commonly double the amount of oil recovered, but much of the
OOIP remains in the reservoir. To effectively improve recovery,
development programs must target the location of remaining oil.
The reservoir characterization challenge requires
building
a
model
that images remaining oil saturation and can be used to
predict the outcome of various development (i.e., secondary
recovery) programs.
Building
a carbonate reservoir
model
begins with an understanding
of the relationship between pore space and petrophysical properties.
This relationship must be linked to depositional and diagenetic
models so that the petrophysical properties can be imaged in 3D
space. One rock fabric method for making this link has been
developed at the Bureau of Economic Geology by an integrated
team of geologists, petrophysicists, and
reservoir engineers. Pore-size distribution
is the key link between petrophysical
measurements and rock fabric descriptions,
and rock fabric is the key link to sequence
stratigraphic models.
Rock fabrics are composed of matrix
fabrics—which contain interparticle and
separate-vug porosity—and nonmatrix
fabrics—which contain interconnected
vugs. How a reservoir performs during
production will be related to the volume
and distribution of these basic fabrics. To properly anaylze
a reservoir with matrix fabrics, understanding its sequence
stratigraphic framework is crucial. The primary stratigraphic
element is the high-frequency cycle within which basic rock
fabrics are systematically distributed. However, the primary
petrophysical element is the rock-fabric flow unit, which is
defined by facies stacking within a high-frequency cycle. The
result is a static 3D
model
of porosity, permeability, and initial oil
saturation suitable for input into a numerical flow simulator.
Production history of the field is simulated, and the end result is
an image of the location of remaining oil saturation.
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