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Partitioning model study of the traction coefficient in a droplet model in a wellbore
  • +3
  • jianxun jiang,
  • Ziying Chen,
  • jingguo du,
  • kaijun Li,
  • YInhua Liu,
  • long li
jianxun jiang
Southwest Petroleum University
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Ziying Chen
Southwest Petroleum University

Corresponding Author:[email protected]

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jingguo du
North China University of Science and Technology
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kaijun Li
Southwest Petroleum University
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YInhua Liu
CNPC Research Institute of Engineering Technology
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long li
PetroChina Southwest Oil and Gas Field Company Exploration and Development Research Institute
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At present, the main way to deal with the gas well effusion is to use the over-effusion prediction model to calculate the critical fluid carrying velocity and other factors, which provides data support and theoretical basis for the drainage process, so as to achieve the effect of bringing the effusion out of the wellbore. When the prediction results of the hydrops prediction model are biased, hydrops will be generated at the bottom of the wellbore, resulting in a decrease in gas well productivity. Aiming at the problem that the drag coefficient of the wellbore droplet movement model changes greatly in the process of natural gas production, which leads to the error of the wellbore effusion prediction, the commonly used droplet models and the common drag coefficient models are analyzed and evaluated. Considering that the fitting method of the commonly used drag model has different applicability for each Reynolds number region, the literature review, calculation and verification methods are used. The area with the highest fitting accuracy of each method is divided and sorted, and the model is selected. Compared with the model obtained by the partition and the existing drag model and the experimental value, it is found that the model can effectively reduce the average error rate between the calculated results and the experimental value, and can be better applied to the turbulent area and the highly turbulent area, and is more consistent with the actual working condition.
13 Jul 2023Submitted to Engineering Reports
20 Jul 2023Submission Checks Completed
20 Jul 2023Assigned to Editor
20 Jul 2023Review(s) Completed, Editorial Evaluation Pending
24 Jul 2023Reviewer(s) Assigned
28 Sep 2023Editorial Decision: Revise Major
13 Oct 2023Assigned to Editor
13 Oct 2023Submission Checks Completed
13 Oct 2023Review(s) Completed, Editorial Evaluation Pending
16 Oct 2023Reviewer(s) Assigned
02 Nov 2023Editorial Decision: Revise Minor
13 Nov 20232nd Revision Received
14 Nov 2023Submission Checks Completed
14 Nov 2023Assigned to Editor
14 Nov 2023Review(s) Completed, Editorial Evaluation Pending
17 Nov 2023Editorial Decision: Accept