基于测井和统计分析的油水相对渗透率新模型

Innovative Models for Oil/water Relative Permeability Based on Logging Data and statistical analysis

目前胜利油田普遍进入高含水开发后期,注入水的不断冲刷造成储层参数发生变化,油藏非均质性日益严重,油藏平均相对渗透率已经不能完全反映油水渗流规律。针对该问题,利用胜利整装油田油水相对渗透率实验数据样本,基于测井渗透率解释经验模型和统计分析方法,建立了油水相对渗透率端点特征参数与油藏渗透率和孔隙度之间的定量预测新模型。新模型预测结果与实际值相比,平均绝对误差小,结果可靠,能够满足工程应用。实例应用表明,新模型能够实现在油藏数值模拟中,为每个网格赋予油水相对渗透率值,预测的剩余油分布规律与常规数值模拟有一定差别,新模型预测剩余油饱和度范围值更小,局部剩余油频数高,反映了新模型能够对油藏局部剩余油富集进行刻画和描述。研究成果对深入认识油田开发后期剩余油分布规律具有重要意义。

Currently,majority parts of the Shengli Oilfield have entered later development stages with high watercut.Continuous flushing of injected water induced changes in reservoir properties.With reservoir heterogeneity became more severe with each passing day,average relative permeability of the oil reservoir can hardly reflect oil/water seepage patterns accurately.To tackle these problems,lab test data for oil/water relative permeability in Shengli Oilfield were used to construct innovative models for quantitatively forecasting correlation among oil/water relative permeability,reservoir permeability and porosity based on empirical model and statistical analysis for logging data permeability interpretation.Comparison results show the innovative models may generate forecasting results with minor average absolute errors.With reliable results,these models can effectively satisfy demands for engineering applications.Application results show innovative models may designate each grid in reservoir numerical simulation with specific relative permeability.Predicted patterns in distribution of residual oil are slightly different from those of conventional numerical simulation.With smaller ranges in residual oil saturation and higher frequencies of residual oil regionally,new models can be deployed for detailed delineation of enrichments of residual oil regionally within the reservoir.Relevant research results are of great importance to understand patterns of residual oil distribution in later development stages of the oilfield.