潜山油藏鱼骨井优化设计及产能预测研究

Structural Optimization and Productivity Prediction for Fishbone Well in Buried Hill Oil Reservoirs

变质岩潜山裂缝性油藏具有储层低渗、非均质性强、高角度裂缝发育等特点。鱼骨井能够增大与油藏接触面积,提高裂缝钻遇率,有效改善潜山类油藏开发效果。但受井型结构及储层影响,其产能变化复杂,现有方法难以预测。针对该问题,基于数理统计原理,对实际潜山油藏进行储层建模。在模型中实施不同井型结构的鱼骨井数值正交试验设计,通过极差分析研究鱼骨井井身结构对产能的影响。对实验结果进行多元回归分析,建立回归预测模型并完成预测。经检验,预测结果与实际生产数据对比精度约为90%,符合预测要求,证明该理论方法及研究结果有效,在实际油藏研究中具有适用性。

Metamorphic rock buried hill reservoirs with low permeability reservoir, heterogeneity, high angle fractures and so on. Fishbone well can increase reservoir contact area and improve the rate of fracture reservoir drilled to effectively improve the development of buried hill reservoir. By the structure of well and reservoir formation, well production changes complexity, and existing methods are difficult to solve the problem. Therefore. Based on statistical principle of the actual buried hill reservoir for reservoir modeling, in the model structure different types of fish bones well numerical experiment design are implemented, and conducted range analysis of well productivity influenced by structure. Experimental results tackled by multiple regression analysis, regression model can be required and forecast completed. The final prediction accuracy compared with the actual production data is about 90%, consistent with forecast requirements. It proves that this method is effective, and can be applied in actual reservoir.