RAPID ESTIMATION OF WATER FLOODING PERFORMANCE AND OPTIMIZATION IN EOR BY USING CAPACITANCE RESISTIVE MODEL
Alireza Bastami, Mojtaba Delshad, Peyman Pourafshari
Abstract
Alireza Bastami, Mojtaba Delshad, Peyman Pourafshari
Abstract
Water flooding, the oldest and most common EOR method, increases the displacement efficiency in a reservoir and also maintains the reservoir pressure for a long period of time. In Iran, water injection is widely used as a method to enhance recovery from oil reservoirs. Defining the optimized injection rates and injection patterns ,dependent on thegeological structure of the reservoir ,isessential in operational and economic al decisions for reservoir management. In this paper, theCapacitance-Resistive Modelis usedto find interwell connectivity, and optimized injection rates in a synthetic field. In this approach, the reservoir receives injector rate variations as an input signal, while the producer responses determine the injector/producer pair connectivity quantitatively. This model is used to predict oil prod uction for a specific reservoir, ifthe production/injection rate and bottomhole pressure data are available. The results show thatthe CapacitanceResistive model has the capability to beusedfor theproductionhistory matching and to optimize the injection rate in different wells of a reservoirduring the immiscible floodingto maximize the oil production. Moreover , they show that any change in oil and water prices can significantly influence the optimized water injection rates.
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Water flooding, the oldest and most common EOR method, increases the displacement efficiency in a reservoir and also maintains the reservoir pressure for a long period of time. In Iran, water injection is widely used as a method to enhance recovery from oil reservoirs. Defining the optimized injection rates and injection patterns ,dependent on thegeological structure of the reservoir ,isessential in operational and economic al decisions for reservoir management. In this paper, theCapacitance-Resistive Modelis usedto find interwell connectivity, and optimized injection rates in a synthetic field. In this approach, the reservoir receives injector rate variations as an input signal, while the producer responses determine the injector/producer pair connectivity quantitatively. This model is used to predict oil prod uction for a specific reservoir, ifthe production/injection rate and bottomhole pressure data are available. The results show thatthe CapacitanceResistive model has the capability to beusedfor theproductionhistory matching and to optimize the injection rate in different wells of a reservoirduring the immiscible floodingto maximize the oil production. Moreover , they show that any change in oil and water prices can significantly influence the optimized water injection rates.
Key concepts: Water injection (oil production), Injector, Water flooding, Petroleum engineering, Injection well, Oil in place, Oil production, Enhanced oil recovery