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The AAPG/Datapages Combined Publications Database
Houston Geological Society Bulletin
Abstract
Abstract: What-If Scenarios for Reservoir Management Teams
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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