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Author:

Wang, Jiangshuai (Wang, Jiangshuai.) | Li, Jun (Li, Jun.) | Liu, Gonghui (Liu, Gonghui.) | Li, Mengbo (Li, Mengbo.) | Luo, Kuidong (Luo, Kuidong.) | Zhang, Geng (Zhang, Geng.)

Indexed by:

EI Scopus SCIE

Abstract:

In deepwater drilling, accurate prediction of wellbore gas-liquid two-phase flow behavior is significant for gas kick detection and well-control treatment. In this study, a new transient gas-liquid two-phase flow model was developed to simulate the wellbore gas-liquid two-phase flow during gas kick in deepwater dual-gradient drilling based on downhole separation. This model accounts for the impact of a sudden change in density on gas-liquid flow behavior. The transient model was solved using the finite-difference method. The accuracy and stability of the model were verified using data measured from a full-scale experimental well. Using this model, the differences in the apparent liquid velocity and the flow rate at the annular outlet during gas kick were compared between deepwater dual-gradient drilling and conventional single-gradient drilling. Additionally, the influences of numerous factors on variations in flow rate at the annular outlet were also studied. A new method of early gas kick detection was proposed for deepwater dual-gradient drilling based on downhole separation.

Keyword:

deepwater dual-gradient drilling variations in flow rate gas-liquid two-phase flow gas kick detection sudden density change

Author Community:

  • [ 1 ] [Wang, Jiangshuai]China Univ Petr, Coll Petr Engn, Beijing, Peoples R China
  • [ 2 ] [Li, Jun]China Univ Petr, Coll Petr Engn, Beijing, Peoples R China
  • [ 3 ] [Liu, Gonghui]China Univ Petr, Coll Petr Engn, Beijing, Peoples R China
  • [ 4 ] [Luo, Kuidong]China Univ Petr, Coll Petr Engn, Beijing, Peoples R China
  • [ 5 ] [Zhang, Geng]China Univ Petr, Coll Petr Engn, Beijing, Peoples R China
  • [ 6 ] [Liu, Gonghui]Beijing Univ Technol, Beijing, Peoples R China
  • [ 7 ] [Li, Mengbo]CNOOC Res Inst Co Ltd, Beijing, Peoples R China

Reprint Author's Address:

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

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Source :

ENERGY SCIENCE & ENGINEERING

ISSN: 2050-0505

Year: 2019

Issue: 4

Volume: 8

Page: 1209-1219

3 . 8 0 0

JCR@2022

Cited Count:

WoS CC Cited Count: 8

SCOPUS Cited Count: 10

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 6

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