Quazi Asif-ur Rahman's thesis
by
Quazi Asif-ur Rahman, M.S.E.
University of Texas at Austin, 2005
Supervisor: Larry W. Lake
Much of the reservoir characterization stage of simulation technology development is directed toward quantifying the
distribution of reservoir properties. Often successful, the quantification, through highly detailed models that are
subsequently scaled up, is laborious. Often the process consumes more resources than the accuracy of the prediction
warrants and geology gets short shrift. The accuracy of the reservoir characterization depends on finding the relative
importance of the parameters and recognizing the connection between them. There are different mathematical and empirical
equations that have been developed to establish the relationship amongst the parameters, but these relations are not being
used to estimate the recovery.
In response to this need, a model has been developed to describe the reservoir with cross-correlated reservoir parameters
derived from only a few geological parameters. The thesis describes a procedure to develop the relationships between
geological and reservoir parameters and the use of it in reservoir simulation to understand the hydrocarbon recovery
performance for identified geological factors.
The project starts with a known grain size distribution along a vertical well, which estimates porosity and permeability
for the whole reservoir using stochastic simulation. The distribution of porosity and permeability is then used in flow
simulations to estimate the primary recovery behavior of the reservoir. A sensitivity analysis is performed to see how
different properties of grain size distribution affect the primary recovery of reservoir
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