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The AAPG/Datapages Combined Publications Database
Houston Geological Society Bulletin
Abstract
Abstract: What-If Scenarios for
Reservoir
Management Teams
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By
University of Oklahoma
Integrating information and assessing uncertainty
are two dominant trends in reservoir
geomodeling. In the midst of this development,
geostatistical methods have
emerged as very useful tools. However, in
some quarters, the strength of their appeal
has shifted the focus away from important
factors for estimating oil recovery efficiency.
The purpose of this talk is to present
case studies which suggest the need for a
broader and more balanced approach. Here
the emphasis is on providing
reservoir
management
teams with the flexibility to explore
the interplay of geological features
and recovery in various "what if" scenarios.
CASE STUDIES
Uncertainty in a fixed geomodel with fixed
wells: Twelve interdisciplinary teams report
significant differences in recovery efficiency
for the same reservoir
model, same
wells, and same total water injected over
10 years. The uncertainty stems from which
wells are used as injectors, which are producers,
and the relative injection rates.
Sweep efficiency in fluvial reservoirs: A
wide range of oil recoveries is shown as a
function of both well pattern (i.e. five spot,
line drive
) and as a function of assumptions concerning geological features (i.e.
channels and lithofacies) that may act as
impediments to flow.
Model resolution: The shape of the contacted zone for injection into a five-spot pattern is shown for the cases of 1, 16, 50, and 248 layer models which depend on exactly the same input data.
Demonstration of the use of geostatistics:
A seismic attribute, "energy half time", is
co-kriged in an area of the reservoir
in
which there is little well control. Comparisons
of waterflood results are made as a
function of the methods used to estimate
permeability and porosity.
Flowbodies: A structurally complicated and
seemingly heterogeneous reservoir
flows
like a homogeneous
reservoir
. Analyzing
reservoir
connectivity, prior to running flow
simulations, indicates the absence of significant
barriers to flow.
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