海上层状油藏油井水驱采出程度预测

Waterflooding Recovery Degree Forecast of Production Wells in Offshore Layered Reservoir

针对S油田目标井组水驱期间油井采出程度差异大的问题,运用统计学方法,研究影响采出程度的主要因素。通过建立多元线性回归模型,进行敏感性分析,筛选出影响采出程度的主要因素为油井产水量、油井有效厚度、主力层地层系数。通过拟合得到油井水驱采出程度的经验公式,利用所得经验公式对目标井组相邻油井进行采出程度预测,计算出的采出程度与实际值较为接近,精确度为0.96。研究成果为预测海上层状油藏油井水驱采出程度提供了有效途径,为油田后续措施的实施提供了理论依据。

Due to the great difference in waterflooding recovery degrees of different production wells in target well-group of S Oilfield,statistic method is used to study the main controlling-factors relate to recovery degree. A multiple linear regression model is established to complete sensitivity analysis and determine the main controlling-factors for recovery degree,namely well water production rate,production well net reservoir thickness and flow capacity of major formation. An empirical equation of waterflooding recovery degree for production well is gained by fitting. This empirical equation is used to forecast the recovery degrees of adjacent production wells and production wells in the target well-group and the corresponding forecasted result with an accuracy rate of 98% is highly consistent with actual data. This research could provide an effective means for waterflooding recovery degree forecast of production wells in offshore layered reservoir and also provide certain theoretical reference for the implementation of subsequent treatments.