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防砂井产能评价及预测方法
引用本文:董长银,李志芬,张琪,李长印.防砂井产能评价及预测方法[J].石油钻采工艺,2002,24(6):45-48.
作者姓名:董长银  李志芬  张琪  李长印
作者单位:1.石油大学石油工程学院, 山东东营 257061
摘    要: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。

关 键 词:防砂    砾石充填    产能预测    产能评价    表皮系数    流入动态
收稿时间:2019-05-16
修稿时间:2002年9月13日

Integrated Model for Sand Control Well Productivity Evaluation and Prediction
by Dong Changyin,Li Zhifen,Zhang Qi.Integrated Model for Sand Control Well Productivity Evaluation and Prediction[J].Oil Drilling & Production Technology,2002,24(6):45-48.
Authors:by Dong Changyin  Li Zhifen  Zhang Qi
Affiliation:1.University of Petroleum
Abstract: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.
Keywords:sand control  gravel pack  productivity evaluation  skin factor  IPR
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