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作者:

Yang, Hongwei (Yang, Hongwei.) | Li, Jun (Li, Jun.) | Liu, Gonghui (Liu, Gonghui.) | Wang, Chao (Wang, Chao.) | Jiang, Hailong (Jiang, Hailong.) | Luo, Kuidong (Luo, Kuidong.) | Wang, Bin (Wang, Bin.)

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EI Scopus SCIE

摘要:

Early gas kick detection is an important measure to ensure well control safety. In accordance with the fluctuation of the bottomhole pressure during early gas kick, the gas kick can be detected rapidly and early with downhole measurement tool. At present, erroneous diagnosis often occurred when gas kick detection was performed using pressure fluctuations of a single measured point. In this paper, firstly, considering the water hammer effect, a wellbore pressure fluctuation model at the initial stage of gas kick was established to accurately describe the transient annular pressure variations. The model was solved using the composite difference scheme and was verified using a laboratory gas kick experiment. Secondly, a dual-measured-points (DMP) method for early gas kick detection was presented based on the consistencies and discrepancies of bottomhole pressures at two measured points. The distance between two measured points was optimized. Simulation results indicated that the annular pressure at the measured point increased and periodically changed with time in the initial stage of gas kick, and then declined approximately linearly after the gas-liquid interface reached the measured point. The distance between the two measured points was mainly dominated by the borehole diameter, and increased with the decrease of borehole diameter. The gas kick confirmation time (GKCT) obtained using DMP method was 2-7 min and the corresponding gas kick confirmation volume (GKCV) was 0.3-0.5 m(3). The GKCT diminished with the increase of the formation permeability and bottomhole negative differential pressure, and with the decrease of the borehole diameter and well depth.

关键词:

Annular pressure variations Composite difference scheme Drift flux model Dual-measured-points method Gas kick detection Water hammer model

作者机构:

  • [ 1 ] [Yang, Hongwei]China Univ Petr, Beijing 102249, Peoples R China
  • [ 2 ] [Li, Jun]China Univ Petr, Beijing 102249, Peoples R China
  • [ 3 ] [Liu, Gonghui]China Univ Petr, Beijing 102249, Peoples R China
  • [ 4 ] [Wang, Chao]China Univ Petr, Beijing 102249, Peoples R China
  • [ 5 ] [Jiang, Hailong]China Univ Petr, Beijing 102249, Peoples R China
  • [ 6 ] [Luo, Kuidong]China Univ Petr, Beijing 102249, Peoples R China
  • [ 7 ] [Wang, Bin]China Univ Petr, Beijing 102249, Peoples R China
  • [ 8 ] [Liu, Gonghui]Beijing Univ Technol, Beijing 100022, Peoples R China

通讯作者信息:

  • [Li, Jun]China Univ Petr, Beijing 102249, Peoples R China

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来源 :

JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

ISSN: 0920-4105

年份: 2019

卷: 176

页码: 1095-1105

ESI学科: GEOSCIENCES;

ESI高被引阀值:44

JCR分区:1

被引次数:

WoS核心集被引频次: 17

SCOPUS被引频次: 19

ESI高被引论文在榜: 0 展开所有

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中文被引频次:

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