Compositional Streamline Simulation: An Application to Gas Injection for Enhanced Condensate Recovery

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Compositional finite difference simulation is widely used to simulate gas injection processes in condensate reservoirs. However, this method has some limitations: it is adversely affected by numerical dispersion, and resolution in the fluid and reservoir heterogeneity fields must be decreased for reasonable computational times. The speed up factors and reduced numerical dispersion associated with streamline simulation make this method an attractive alternative to finite difference methods. Nevertheless, there are also limitations associated with streamline simulation. The primary limitation of streamline simulators is that they do not model crossflow effects. In certain reservoirs, crossflow is an important recovery mechanism, and the inability to model these physical phenomena will result in inaccurate results. In order to effectively exploit the power of streamline based simulators, the user must recognise under which conditions omission of crossflow phenomena is valid.This report presents a detailed analysis demonstrating the applicability of compositional streamline simulation of gas injection in a condensate reservoir. Analysis of crossflow mechanisms through the use of dimensionless numbers is used to determine the dominant flow forces in these systems. A systematic simulation study comparing the results of the streamline method against one that incorporates crossflow mechanisms demonstrates the validity in exclusion of crossflow when simulating these systems. Computation speeds of the streamline method were orders of magnitude faster than finite difference methods. To conclude this analysis, applications of compositional streamline simulation for reservoir management were presented.Application to a specific class of reservoirs is presented in this study. Gas condensate reservoirs represent a small, but growing fraction of reserves in the world petroleum supply. This study provides the foundation for demonstrating the relevance of streamline methods in simulating field scale, compositionally driven displacements.


Type of resource text
Date created June 2003


Author Seto, Carolyn
Primary advisor Orr Jr, Franklin M.
Degree granting institution Stanford University, Department of Petroleum Engineering


Subject School of Earth Energy & Environmental Sciences
Genre Thesis

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Seto, Carolyn. (2003). Compositional Streamline Simulation: An Application to Gas Injection for Enhanced Condensate Recovery. Stanford Digital Repository. Available at:


Master's Theses, Doerr School of Sustainability

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