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考虑应力敏感效应的裂缝性碳酸盐岩气井拟稳态产能预测方法

李江 陈先超 高平 舒成龙

李江, 陈先超, 高平, 舒成龙. 考虑应力敏感效应的裂缝性碳酸盐岩气井拟稳态产能预测方法[J]. 石油钻探技术, 2021, 49(3): 111-116. doi: 10.11911/syztjs.2021032
引用本文: 李江, 陈先超, 高平, 舒成龙. 考虑应力敏感效应的裂缝性碳酸盐岩气井拟稳态产能预测方法[J]. 石油钻探技术, 2021, 49(3): 111-116. doi: 10.11911/syztjs.2021032
LI Jiang, CHEN Xianchao, GAO Ping, SHU Chenglong. A Pseudo-Steady-State Productivity Prediction Method for Fractured Carbonate Gas Wells Considering Stress-Sensitivity Effects[J]. Petroleum Drilling Techniques, 2021, 49(3): 111-116. doi: 10.11911/syztjs.2021032
Citation: LI Jiang, CHEN Xianchao, GAO Ping, SHU Chenglong. A Pseudo-Steady-State Productivity Prediction Method for Fractured Carbonate Gas Wells Considering Stress-Sensitivity Effects[J]. Petroleum Drilling Techniques, 2021, 49(3): 111-116. doi: 10.11911/syztjs.2021032

考虑应力敏感效应的裂缝性碳酸盐岩气井拟稳态产能预测方法

doi: 10.11911/syztjs.2021032
基金项目: 国家自然科学基金青年科学基金项目“纳米颗粒吸附后强界面效应量化表征及多尺度流固耦合模拟理论研究”(编号:51804048)和油气藏地质及开发工程国家重点实验室开放基金课题“页岩气水平井体积压裂半解析产能预测方法及产能主控因素分析研究”(编号:PLC20180705)联合资助
详细信息
    作者简介:

    李江(1995—),男,四川泸州人,2019年毕业于成都理工大学石油工程专业,在读硕士研究生,主要从事非常规油气藏工程及数值模拟方面的研究。E-mail:jiang137988@163.com

    通讯作者:

    陈先超,chenxianchao2005@126.com

  • 中图分类号: TE32+8, TE371

A Pseudo-Steady-State Productivity Prediction Method for Fractured Carbonate Gas Wells Considering Stress-Sensitivity Effects

  • 摘要: 为了准确评价非达西效应和应力敏感效应对裂缝性碳酸盐岩气井产能的影响,建立了一种双重介质径向复合二项式产能综合模型。该模型分为内外2个区域,其中内区用于模拟气井经过压裂后的生产过程,并利用该产能模型计算了四川盆地某裂缝性碳酸盐岩气藏实例井的产能。计算结果表明,与一点法相比,新模型能更合理地预测裂缝性碳酸盐岩储层气井的绝对无阻流量,现场应用效果良好。参数敏感性分析表明,应力敏感因素主要影响气井生产后期;地层系数对气井的绝对无阻流量有较大的影响,地层渗透率和地层厚度越大,越有利于气井开发。综合考虑非达西效应和应力敏感效应的裂缝性碳酸盐岩气藏产能预测模型,为气藏的高效开发和合理配产提供了理论依据。

     

  • 图 1  双重介质两区径向复合模型

    Figure 1.  Dual-media model for radial compound reservoirs with two zones

    图 2  不同应力敏感系数下的IPR曲线

    Figure 2.  Inflow performance relation (IRP) curves under different stress sensitivity coefficients

    图 3  不同上覆岩层压力下的IPR曲线

    Figure 3.  IPR curves under different overburden pressures

    图 4  不同初始地层压力下的IPR曲线

    Figure 4.  IPR curves under different initial formation pressures

    图 5  不同地层系数下的IPR曲线

    Figure 5.  IPR curves under different formation coefficients

    表  1  不同产能模型的气井参数计算结果

    Table  1.   Calculation results of gas well parameters from different productivity models

    参数计算结果 参数计算结果
    模型1模型2 模型1模型2
    A73.814 472.864 9 B23.163 924.973 8
    A159.499 058.700 6A214.315 414.164 4
    B118.050 519.919 8B25.113 45.054 0
    D17.407 57.308 0D2634.887 5620.830 5
    E14.126×10–44.071×10–4E21.488×10–51.468×10–5
    F134.533 930.458 9F287.535 984.677 6
    G11.0827×10–21.0107×10–2G26.9299×1046.8679×104
     注:模型1为不考虑应力敏感的单区双重介质模型,模型2为考虑应力敏感双重介质两区径向复合模型。
    下载: 导出CSV

    表  2  不同产能模型计算结果对比

    Table  2.   Comparisons among calculation results from different productivity models

    产能模型无阻流量/
    (104m3·d–1
    与试井解释结果
    的相对误差,%
    一点法54.47–13.54
     不考虑应力敏感的单区径向复合模型81.6729.63
     不考虑应力敏感的两区径向复合模型75.4019.68
     考虑应力敏感的两区径向复合模型65.80 4.44
    下载: 导出CSV
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出版历程
  • 收稿日期:  2020-10-31
  • 修回日期:  2021-03-04
  • 网络出版日期:  2021-03-19
  • 刊出日期:  2021-06-16

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