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压裂充填防砂井产能预测方法
引用本文:曲占庆,张琪,董长银,王登庆.压裂充填防砂井产能预测方法[J].石油钻采工艺,2003,25(5):51-53.
作者姓名:曲占庆  张琪  董长银  王登庆
作者单位:1.石油大学石油工程学院, 山东东营 257061
基金项目:国家自然科学基金资助项目项目编号 :5 0 2 740 5 5
摘    要:产能预测是进行压裂防砂优化设计的基础。首先预测压裂对产能的影响,得到压裂增产倍数;计算射孔孔眼砾石层及环空砾石层的附加表皮因数,用砾石充填后产能比考虑炮眼和筛套环空砾石充填对产能的影响;压裂增产倍数与砾石充填产能比的乘积即为压裂充填防砂后的总产能比。根据防砂前流入动态可得压裂充填防砂后的流入动态曲线。采用该方法对吐哈油田颜6-8井进行了产能预测,计算结果与实际产能基本吻合。

关 键 词:防砂    产能预测    增产倍数    产能比    表皮因数
收稿时间:2019-05-15

New Model for Frac-Packed Well Productivity Prediction
Qu Zhanqing,Zhang Qi,Dong Changyin,.New Model for Frac-Packed Well Productivity Prediction[J].Oil Drilling & Production Technology,2003,25(5):51-53.
Authors:Qu Zhanqing  Zhang Qi  Dong Changyin  
Affiliation:1.University of Petroleum
Abstract:The productivity Prediction of the frac packed well is the basis of frac pack design. Stimulation effect caused by fracturing can be estimated by stimulation ratio. The effect of gravel packing in screen casing annular and perforations on the well productivity can be shown by gravel pack productivity ratio, which can be calculated by the additional skin factor. The total productivity ratio of the frac pack means the product of simulation ratio and gravel pack productivity ratio. According to the IPR before the frac pack job, which can be calculated by the testing data, the IPR curve of frac packed well can be obtained, and the case study of Yan 6 8 well in Tuha oilfield proves the reliability of this new model.
Keywords:sand control  productivity prediction  stimulation ratio  productivity ratio  skin factor
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