鱼骨井产能预测及影响因素分析

与常规直井和水平井相比,鱼骨井因其泄油面积大、相同液量下压差小、能更为经济有效地开发隐蔽油藏、复杂断块油藏等复杂构造油气藏而在油田获得成功应用。准确评价鱼骨井产能对于产能建设、措施优化具有一定的指导意义。鱼骨井井身结构的复杂性增加了该种井型产能预测的难度。以渤海××油田已投产的6口鱼骨井为样本,构造BP神经网络模型,对多因素非线性影响下的鱼骨井产能进行预测,并根据权重分析理论找出影响渤海××油田鱼骨井产能的主控因素。现场实例计算表明：该方法能综合考虑鱼骨井产能的各种影响因素,预测精度高,计算速度快,是鱼骨井产能预测的一种有效手段。渤海××油田鱼骨井产能的主控因素为：垂向渗透率与水平渗透率之比、储层有效厚度、地层孔隙度、主井筒长度、各分支长度、溶解气油比和原油黏度。

Productivity forecast and analysis of influence factors on herringbone well

The herringbone well has been successfully applied in the development of subtle reservoirs and faulted block reservoirs because it has large drainage area and low pressure difference compared with the conventional vertical wells and horizontal wells.Productivity forecast for herringbone well has practical guidance significance to productivity building.However,the productivity forecast for herringbone well is difficult due to the complicacy of its hole structure.Taking six herringbone wells from one field in Bohai as the samples,BP neural network model is constructed.The productivity for herringbone well under the influence of nonlinear and multi-factor is predicted and the decisive factors contributed to productivity of the field in Bohai are found out according to the weight analysis.Example calculation shows that this method can comprehensively consider the various factors influencing on the productivity of herringbone well.It has high prediction precision and computation speed,which is an effective tool for productivity forecast.The decisive factors influencing on the productivity are the ratio of Kv and Kh,net thickness,porosity,length of parent hole,length of branch hole,dissolved gas-oil ratio and oil viscosity.