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高压异常压力敏感性油藏IPR曲线计算方法研究
引用本文:田树宝,张琪. 高压异常压力敏感性油藏IPR曲线计算方法研究[J]. 油气地质与采收率, 1999, 0(1)
作者姓名:田树宝  张琪
作者单位:石油大学(华东)石油工程系
摘    要:该文根据高压异常压力敏感弹性油藏的渗流特点和油井的流入动态规律,结合其与常规油藏的差异,对影响该类油藏油井流入动态的主要因素进行了分析研究,研究了油藏压力、井底流压的变化对油藏渗透率的影响规律,以及含水率、油藏压力的变化对采液指数的影响规律。推导并建立了一套高压异常压力敏感弹性油藏IPR曲线计算模型,最后应用该模型对新疆石西油田石炭系油藏油井产能进行了预测,做出了不同油藏压力、采液指数、含水率下的综合IPR曲线,并同现场实测数据进行了比较验证。结果表明本模型准确性较高,可用来预测高压异常压力敏感性油藏不同开发阶段油井的产能,对于更好地完成该类油藏油井动态分析以及举升工艺设计具有重要意义。

关 键 词:高压  异常压力  油藏  曲线  产能预测

A study on calculating method for composite IPR curve in high pressure anomaly and pressure sensitive reservoir.
Tian Shubao,Zhang Qi.. A study on calculating method for composite IPR curve in high pressure anomaly and pressure sensitive reservoir.[J]. Petroleum Geology and Recovery Efficiency, 1999, 0(1)
Authors:Tian Shubao  Zhang Qi.
Abstract:This paper studies the percolating characteristics and the inflow performance of oil well in high pressure anomaly and pressure sensitive elastic reservoir. According to the differences comparing with general reservoir, this paper analyses and studies main factors of affecting the inflow performance of oil well including the influence of variation of reservoir pressure and bottom hole flowing pressure on reservoir permeability, and the effect of variation of water cut and reservoir pressure on fluid productivity index. Then establishes a calculating model for the composite IPR curve to predict the productivity of oil well in high pressure anomaly and pressure sensitive elastic reservoir. At the end, the model is applied to predict the productivity of oil well in Xingjian shixi oil field, and compared with the practical data. The results of field application show that this model has high fit precision and can be applied to predict the productivity of oil well in high pressure anomaly and pressure sensitive reservoir at different development phases, which is important in the course of analyzing the performance of oil well and designing the technology of artificial lift.
Keywords:high pressure   anomaly   reservoir   curve   productivity prediction  
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