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
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
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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