新疆石油地质

新疆石油地质 ›› 2003, Vol. 24 ›› Issue (4): 344-346.

• 应用技术 • 上一篇    下一篇

气井系统试井异常资料处理中校正模型的应用

夏显佰1, 王维君2, 胡广军2, 彭海军3   

  1. 1.成都理工大学,四川 成都 610059;
    2.中国石油 新疆油田分公司 勘探公司,新疆克 拉玛依 834000;
    3.新疆石油管理局 试油公司,新疆 克拉玛依 834027
  • 收稿日期:2003-02-19 发布日期:2021-01-13
  • 作者简介:夏显佰(1956-),男,安徽怀宁人,在读博士研究生,高级工程师。联系电话:0990-6888540

Application of Correction Model for Abnormal Well Test Data Processing in Gas Well System

XIA Xian-bai1,2, WANG Wei-jun2, HU Guang-jun2, PENG Hai-jun3   

  1. 1. Chengdu University of Technology, Chengdu, Sichuan 610059, China;
    2. Exploration Division, Xinjiang Oilfield Company, PetroChina, Karamay, Xinjiang 834000, China;
    3. Production Test Company, Xinjiang Petroleum Administration Bureau (XPAB), Karamay, Xinjiang 834000, China
  • Received:2003-02-19 Published:2021-01-13

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摘要： 由于受地层等诸多内外因素的影响,气井稳定试井过程中所采集的产量和压力数据往往存在不同程度的偏差,导致产能曲线呈异常形态,无法求出气井无阻流量等参数,情况严重时不得不重新试气。引起试井资料异常的主要因素有储集层污染、变表皮系数、层间干扰和井底积液等。不同的因素对试井资料影响的特征和程度不同。在此情况下,应用SWT2000试井软件,对试井资料的异常现象进行分析判别、选择适应的校正模型,能够有效消除试井曲线的失真现象,顺利求得气井产能参数。实践表明,只要对引起试井资料异常的因素判断准确,校正模型选择得当,就能够得到可靠的产能参数。

关键词: 气井, 稳定试井, 解释, 校正, 应用

Abstract: By influences of internal and external factors in the reservoir, different deviations of production and pressure data from stable well testing in gas well tend to resulting in abnormal shape of productivity curve, which is difficult to get open-flow capacity. In some cases, retesting has to be needed. The major factors for them include reservoir pollution, variable skin factor, interlayer interference and sand face flux, etc. And different factors have different effects on well test data in feature and extent. For this reason, SWT2000, a well-testing software, is applied for analysis of the abnormal phenomenon in well test data, and suitable correction model is selected for effective elimination of the falsification phenomenon of the curves, followed by obtaining the productivity parameters of the gas well. Practice shows that the reliable pro-ductivity parameters can be obtained if we make correct adjustment of abnormal factors of well test data, as well as selection of proper correction model.

Key words: gas well, stable well testing, interpretation, correction, application

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