Dynamic Capillarity During the Water Flooding Process in Fractured Low Permeability Reservoirs

Ying Li, Haitao Li, Shengnan Chen, Yu Lu, Xiaoying Li, Hongwen Luo, Chang Liu, Cui Xiaojiang
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引用次数: 1

Abstract

Capillary pressure and relative permeability are the two main factors determining the multiphase flow in oil and gas reservoirs. Dynamic capillarity, which includes the dynamic capillary pressure and the dynamic relative permeability, should be considered when performing waterflooding in low permeability oil reservoirs. To stimulate the production, hydraulic fracturing has been applied in low permeability oil reservoirs. In this work, dynamic capillarity in fractured low permeability reservoirs were investigated through numerical simulation, which applied the capillary pressure and relative permeability data obtained from steady and dynamic waterflooding experiments. The numerical simulation conducted sensitive analysis using CMG. The results show that if the steady data are used in the prediction, the oil saturation reduces more evenly and more quickly, and the production capability of the reservoir is overestimated. Moreover, the production well will be predicted to breakthrough earlier, with a higher breakthrough water flow if the dynamic capillarity is neglected This work demonstrates the importance of considering dynamic capillarity in fractured low permeability reservoirs, and provides another perspective to predict the production in fractured low permeability reservoirs.
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裂缝性低渗透油藏水驱过程中的动态毛细作用
毛管压力和相对渗透率是决定油气藏多相流动的两个主要因素。低渗透油藏注水时应考虑动态毛细作用,包括动态毛细压力和动态相对渗透率。为了提高产量,在低渗透油藏中应用了水力压裂技术。利用稳态和动态水驱实验获得的毛细管压力和相对渗透率数据,对裂缝性低渗透储层的动态毛细作用进行了数值模拟研究。数值模拟采用CMG进行了敏感分析。结果表明,采用稳定数据进行预测时,含油饱和度下降更均匀、更快,高估了储层的生产能力。如果不考虑动态毛细作用,生产井的预测突破时间会更早,突破水量也会更高。这说明了裂缝性低渗透油藏考虑动态毛细作用的重要性,为裂缝性低渗透油藏的产量预测提供了另一种视角。
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