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理论上用数字模型来研究分析溶解气驱条件下,压力和表皮因子对油井流入动态的影响(IPR'S)。综合产能曲线的分析结果认为,产能曲线的指数是时间的函数,其指数通常大于单相流。研究还认为,只要已知产能曲线的指数以及避免长时间外推,该法就能够用来预测未来动态。如果用单点测试法来预测未来动态(该法假定产能曲线指数是常数),那么,该法求得结果十分接近井的实际产量,其误差最小。既然如此,产量预测的误差将取决于假设的已知产能曲线指数误差的大小。综合考虑表皮因子的影响,还提出了修正IPR曲线的新方法。
In theory, numerical models are used to study the effects of pressure and epidermal factors on the inflow dynamics of oil wells (IPR’s) under dissolved gas flooding conditions. The analysis of the comprehensive capacity curve shows that the index of capacity curve is a function of time, and its index is usually larger than single-phase flow. The study also argues that the law can be used to predict future dynamics as long as indices of productivity curves are known and long-time extrapolation is avoided. If a single point test is used to predict future activity (this method assumes that the capacity curve index is constant), the result of the method is very close to the actual production of the well with the least error. In this case, the error in yield forecast will depend on the magnitude of the assumed index error of the known capacity curve. Considering the impact of epidermal factors, but also proposed a new method of correcting IPR curve.