防砂井产能评价及预测方法

2002年 24卷 第6期
阅读:83
查看详情
INTEGRATED MODEL FOR SAND CONTROL WELL PRODUCTIVITY EVALUATION AND PREDICTION
董长银 李志芬 张琪 李长印
Dong Changyin Li Zhifen Zhang Qi Li Changyin
石油大学石油工程学院, 山东东营 257061 华东输油管道局潍坊输油处, 山东东营 257000
提出以当量产能比和自然产能比作为防砂措施对油井产能造成影响的评价指标,并根据补孔和防砂措施造成的附加流动区域及相应的表皮系数,推导了评价指标的计算方法;结合防砂前油井流入动态,根据当量产能比可预测防砂后油井流入动态。形成了一套可用于各种防砂方法的系统有效的防砂井产能评价与预测方法。该方法计算简单,需要的基础数据少且易于提供,计算结果可靠。
Normalized Productivity Index(NPI) and Productivity Ratio(PR) are firstly put forward to evaluate the effect of sand control measure on well productivity.According to the additional flow resistance areas formed by sand control measures and corresponding skin factors, considering the non-Darcy flow, the calculation method of NPI and PR is educed.If Inflow Performance Relationship(IPR) before sand controlling is at present, the IPR curve after sand controlling could be obtained by NPI.The application results indicate that this simplified model needs only fewer data but its results are very reliable.As an integrated sand control well productivity evaluation and prediction model, it can be used for most of present sand control method.
防砂; 砾石充填; 产能预测; 产能评价; 表皮系数; 流入动态;
sand control; gravel pack; productivity evaluation; skin factor; IPR;
10.3969/j.issn.1000-7393.2002.06.017