[1]张博涵,刘 捷,李学勤.基于图像处理的柱塞环隙含气率检测方法研究[J].工业仪表与自动化装置,2025,(06):77-81.[doi:10.19950/j.cnki.CN61-1121/TH.2025.06.014]
 ZHANG Bohan,LIU Jie,LI Xueqin.Research on online detection of gas volume fraction in plunger annulus based on image processing[J].Industrial Instrumentation & Automation,2025,(06):77-81.[doi:10.19950/j.cnki.CN61-1121/TH.2025.06.014]
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基于图像处理的柱塞环隙含气率检测方法研究()

《工业仪表与自动化装置》[ISSN:1000-0682/CN:61-1121/TH]

卷:
期数:
2025年06期
页码:
77-81
栏目:
出版日期:
2025-12-15

文章信息/Info

Title:
Research on online detection of gas volume fraction in plunger annulus based on image processing
文章编号:
1000-0682(2025)06-0077-05
作者:
张博涵1刘 捷1李学勤2
1.长江大学 石油工程学院,湖北 武汉 430000;2.长庆油田 第六采气厂,陕西 延安 7100161
Author(s):
ZHANG Bohan1 LIU Jie1 LI Xueqin 2
(1.College of Petroleum Engineering,Yangtze University,Hubei Wuhan 430100,China; (2.Changqing Oilfield Sixth Gas Production Plant, Shaanxi Yan’an, 710016,China)
关键词:
柱塞举升截面含气率图像处理气泡边缘检测
Keywords:
plunger liftImage processing cross-sectional gas holdup bubble edge detection
分类号:
TE377
DOI:
10.19950/j.cnki.CN61-1121/TH.2025.06.014
文献标志码:
A
摘要:
柱塞气举是一种高效的井下工艺技术,能够有效提高气井产量,解决常规井连续气举效果不佳的问题。在柱塞气举过程中,由于管柱与柱塞之间存在间隙,柱塞在速度、压力和气体滑脱等因素的作用下可能会发生液体漏失。为了提高柱塞气举的效率,准确评估柱塞的漏失量至关重要,而柱塞环隙含气率是评价柱塞漏失的关键参数。为此设计了一套基于图像处理的气泡检测方法,用来实现柱塞环隙截面含气率测定。通过采用高速摄像机对直径为60 mm的玻璃管柱内柱塞环隙气泡进行实时拍摄和图像采集,提出一种利用数字图像处理技术检测玻璃管柱内柱塞环隙截面含气率的方法。利用图像处理技术对图像进行梯度计算、形态学操作、边缘检测、二值化、连通域筛选和填充等处理得到截面含气率。最后与实验计算结果比较表明:该文方法测量得到的含气率与Hansan-Kabir方法计算得到的含气率误差在±15%以内,具有较高的测量精度和实用价值,为今后柱塞漏失量计算和柱塞环隙含气率的在线检测提供新的思路。
Abstract:
Plunger lift is an efficient downhole process technology that can effectively increase gas well production and address the poor performance of conventional continuous gas lifting. During the plunger lift process, due to the gap between the tubing and the plunger, the plunger may experience liquid leakage under the influence of factors such as velocity, pressure, and gas slip.To improve the efficiency of plunger gas lifting, accurately assessing the leakage of the plunger is crucial, and the gas content in the plunger annulus is a key parameter for evaluating plunger leakage. To achieve this, a bubble detection system based on image processing was designed to measure the cross-sectional gas volume fraction in the plunger annulus. A high-speed camera is used to capture real-time images and collect data on the bubbles in the plunger annulus within a 60mm diameter glass tube. A method is proposed to detect the cross-sectional gas volume fraction in the plunger annulus inside the glass tube using digital image processing technology. This involves gradient calculation, morphological operations, edge detection, binarization, connected domain filtering, and filling processes to determine the cross-sectional gas volume fraction. Finally, comparison with experimental calculations shows that the error in the gas volume fraction obtained by this method is within ±15% of the Hansan-Kabir method, indicating high measurement accuracy. This provides a new approach for future calculations of plunger leakage and online detection of gas volume fraction in plunger annuli.

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备注/Memo

备注/Memo:
收稿日期:2025-07-11第一作者:张博涵(2000— ),男,陕西西安人,硕士,研究方向为油气田开发。E -mail:1170886295@ qq.com
更新日期/Last Update: 1900-01-01