ENPE 523_Lecture 12 - Introduction to Reservoir Simulation.pdf

ENPE 523_Lecture 12 - Introduction to Reservoir Simulation.pdf

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Introduction to Reservoir Engineering ENPE 523 Lecture Notes #12 Introduction to Reservoir Simulation Hassan Hassanzadeh EN B204M [email protected]
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Introduction to reservoir simulation Physics Mathematics Reservoir Engineering Computer programming Prediction of reservoir performance under various conditions Reservoir Simulation 2 The need for reservoir simulation a) Capital investment of $ 100 million projects b) Associated risk with a development plan
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Introduction to reservoir simulation Factor contributing to risk 1. Reservoir complexity because of heterogeneity in reservoir properties 3 2. Regional variations of fluid properties and relative permeability 3. Hydrocarbon recovery mechanisms 4. Inappropriate predictive models
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Introduction to reservoir simulation Traditional modeling approaches Analogical models Experimental methods Mathematical methods 4 Analogical models use properties of mature reservoirs that are either geographically or petrophysically similar to the target reservoir to attempt to predict the reservoir performance. Experimental methods : Measure physical properties such as rate, pressure, recovery factor, or saturation in laboratory models and scale the results to the entire reservoir. Mathematical methods use equations to predict reservoir performance
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Introduction to reservoir simulation Applications of analogical models : Before drilling, limited or no data are available, recovery factor, rate, decline rate, well spacing and recovery mechanisms from a similar well can be used to develop a new field Advantage : simple, low cost, suitable for reservoirs of similar properties with similar strategies Disadvantage : cannot be used for a reservoir of similar properties but of different strategies Example : staged field trial is one form of analogy 5 Applications of Experimental methods : core flood, sand pack, slime tube
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