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• W2808023045 abstract "Reservoir simulation is a tool to model the fluid flow in a reservoir over time. Streamline simulationhas been proven to be an efficient approach for fine-scale geology models. With thedevelopment of engineering applications of streamline methods, researchers are now facingmore challenges, for example, 1) tracing streamlines in structurally complex reservoirs; 2)improving the computational accuracy and efficiency for modeling transport problems. Thisresearch offers significant potential to meet these challenges. More specifically, this researchis mainly focused on the development of a new three-dimensional, two-phase streamlinesimulator (using Matlab) that can model real physical displacement processes in a fast andaccurate manner.This streamline simulator solves the pressure and saturation equations sequentially. First,streamlines are traced by pressure distribution approximations; and then transport problemsare solved along streamlines.This new streamline simulator applies new semi-analytical methods to trace streamlines,including the Bilinear, Trilinear and Cubic methods. These methods generate streamlinesbased on pressure distribution approximations using piece-wise polynomials. Then the velocityfield, streamline trajectory functions, and time-of-flight (the time a particle takes totravel along a streamline) are derived accordingly. The new streamline method and Pollcok’smethod are systemically compared via pressure and velocity approximations, plus streamlinedeterminations. Through these comparisons, the new methods are proven to be moreaccurate than Pollock’s method, especially in heterogeneous problems and/or when gridresolution is low. When certain initial conditions are imposed, this new streamline simulator applies a Riemannapproach to solving transport problems along streamlines. Standard streamline simulatorsapply the classical Riemann solution under constant total flow rate conditions. However,the boundary conditions can also be specified by constant injection and productionpressures. In this case, the flow rate varies with time, and a new semi-analytical Riemannsolver presented in this thesis can be applied to map the Riemann solution along streamlinesin terms of time-of-flight. Through a series of case studies using different reservoir properties,the abilities of the new streamline simulator to give sufficiently accurate solutions forhomogeneous, heterogeneous, and anisotropic problems are demonstrated. Moreover, a largemobility ratio range (0.5 to 50) is tested to evaluate the performance of this streamline simulator.Through comparisons with a standard reservoir simulator (Eclipse100, Schlumberger)in these cases studies, it is demonstrated that this new streamline simulator significantly enhancesthe calculation speed and improves the accuracy of simulations when the underlyingassumptions are valid.Finally, the ability of the new simulator is validated and demonstrated by modeling physicalwaterflooding displacements. This is the first time that waterflooding experiments are performedunder constant differential pressure boundaries in a two-dimensional heterogeneousmacro-model. Two experiments with the same reservoir and fluid properties are performedunder different boundary conditions. The new simulator is applied to history match and simulatethese two experiments. The predicted and observed results show excellent agreement.The flow behavior of the fluid under a constant pressure boundary is also well understood byusing the visual power of the simulator. We conclude that the new streamline simulator isvery efficient and accurate in physical waterflooding processes simulations when the viscousforce dominates the flow." @default.
• W2808023045 created "2018-06-21" @default.
• W2808023045 creator A5009318195 @default.
• W2808023045 date "2017-06-01" @default.
• W2808023045 modified "2023-09-25" @default.
• W2808023045 title "A new semi-analytical streamline simulator and its applications to modelling waterflooding experiments" @default.
• W2808023045 hasPublicationYear "2017" @default.
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