A numerical sensitivity analysis of streamline simulation
Abstract
Nowadays, field development strategy has become increasingly dependent on the
results of reservoir simulation models. Reservoir studies demand fast and efficient results
to make investment decisions that require a reasonable trade off between accuracy and
simulation time. One of the suitable options to fulfill this requirement is streamline
reservoir simulation technology, which has become very popular in the last few years.
Streamline (SL) simulation provides an attractive alternative to conventional reservoir
simulation because SL offers high computational efficiency and minimizes numerical
diffusion and grid orientation effects. However, streamline methods have weaknesses
incorporating complex physical processes and can also suffer numerical accuracy
problems.
The main objective of this research is to evaluate the numerical accuracy of the
latest SL technology, and examine the influence of different factors that may impact the
solution of SL simulation models. An extensive number of numerical experiments based
on sensitivity analysis were performed to determine the effects of various influential
elements on the stability and results of the solution. Those experiments were applied to
various models to identify the impact of factors such as mobility ratios, mapping of
saturation methods, number of streamlines, time step sizes, and gravity effects. This study
provides a detailed investigation of some fundamental issues that are currently
unresolved in streamline simulation.
Subject
streamline simulationaccuracy in streamline
reservoir simulation
streamline density
gravity effect in streamline
Citation
Chaban Habib, Fady Ruben (2004). A numerical sensitivity analysis of streamline simulation. Master's thesis, Texas A&M University. Texas A&M University. Available electronically from https : / /hdl .handle .net /1969 .1 /1541.
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