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    地层压力随钻监测方法在深水高温高压井中的研究与应用

    李中 张祯祥 杨进 黄熠 李炎军 李文拓 吴江

    李中, 张祯祥, 杨进, 黄熠, 李炎军, 李文拓, 吴江, 2019. 地层压力随钻监测方法在深水高温高压井中的研究与应用. 地球科学, 44(8): 2597-2602. doi: 10.3799/dqkx.2019.049
    引用本文: 李中, 张祯祥, 杨进, 黄熠, 李炎军, 李文拓, 吴江, 2019. 地层压力随钻监测方法在深水高温高压井中的研究与应用. 地球科学, 44(8): 2597-2602. doi: 10.3799/dqkx.2019.049
    Li Zhong, Zhang Zhenxiang, Yang Jin, Huang Yi, Li Yanjun, Li Wentuo, Wu Jiang, 2019. Research and Application of Formation Pressure Monitoring While Drilling in Deepwater with High Temperature and High Pressure. Earth Science, 44(8): 2597-2602. doi: 10.3799/dqkx.2019.049
    Citation: Li Zhong, Zhang Zhenxiang, Yang Jin, Huang Yi, Li Yanjun, Li Wentuo, Wu Jiang, 2019. Research and Application of Formation Pressure Monitoring While Drilling in Deepwater with High Temperature and High Pressure. Earth Science, 44(8): 2597-2602. doi: 10.3799/dqkx.2019.049

    地层压力随钻监测方法在深水高温高压井中的研究与应用

    doi: 10.3799/dqkx.2019.049
    基金项目: 

    “十三五”国家科技重大专项“莺琼盆地高温高压天然气富集规律与勘探开发关键技术(三期) 2016ZX05024-005

    “莺琼盆地高温高压钻井关键技术研究” CNOOC-KJ135ZDXM24LTDZJ01

    “莺琼盆地高温高压完井和测试关键技术研究” CNOOC-KJ135ZDXM24LTDZJ03

    详细信息
      作者简介:

      李中(1972-), 男, 教授级高级工程师, 主要从事海洋油气钻完井的研究和管理工作

      通讯作者:

      张祯祥

    • 中图分类号: P553

    Research and Application of Formation Pressure Monitoring While Drilling in Deepwater with High Temperature and High Pressure

    • 摘要: 随着深水高温高压油气勘探的逐步深入,目前钻遇地层普遍存在着储层系统多样、压力系统复杂且高低压相间的情况,钻井过程中井下复杂情况频发,严重影响钻井作业安全.结合深水高温高压X1井的钻井实例,分别使用dC指数法和岩石强度法开展地层压力随钻监测工作.结果表明,岩石强度法对深水高温高压井的压力监测精度更高,可以为后续深水高温高压井的地层压力监测工作提供参考.

       

    • 图  1  井底压差与岩石抗钻强度关系

      Fig.  1.  Relation diagram between bottom-hole pressure difference and rock strength

      图  2  X1井两种方法监测结果对比

      Fig.  2.  Comparison diagram of two monitoring methods in well X1

      表  1  岩石强度法、dC指数法监测地层孔隙压力梯度值与实测值对比表

      Table  1.   Comparison table of pore pressure values monitored by rock strength method and dC index method

      井号 井深(m) 实测压力梯度当量密度(g/cm3 岩石强度法 dC指数法
      压力梯度(g/cm3 误差(%) 压力梯度(g/cm3 误差(%)
      X1 3 065 1.66 1.58 4.8 1.51 9.0
      3 987 2.17 2.25 4.7 2.02 6.9
      4 023 2.20 2.12 3.6 1.86 5.5
      4 057 2.20 2.21 0.5 2.04 7.3
      4 098 2.25 2.23 0.9 2.06 8.5
      下载: 导出CSV
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    • 收稿日期:  2019-01-22
    • 刊出日期:  2019-08-15

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