Leak Identification and Positioning Strategies for Downhole Tubing in Gas Wells DOI Open Access
Yunpeng Yang,

Guo-Hua Luan,

Lianfang Zhang

et al.

Processes, Journal Year: 2025, Volume and Issue: 13(6), P. 1708 - 1708

Published: May 29, 2025

Accurate detection of downhole tubing leakage in gas wells is essential for planning effective repair operations and mitigating safety risks annulus pressure buildup wells. Current localization methods employ autocorrelation analysis to exploit the time-delay features acoustic signals traveling through tubing–casing annulus. This allows non-invasive wellhead detection, avoiding costly retrieval or production shutdowns. However, field data show that multiphase flow noise, overlapping reflected waves, coupled multi-leakage points wellbore frequently introduce multi-peak interference curves. Such severely compromises accuracy time parameter extraction. To resolve this issue, our study experimentally analyzes how differential, aperture size, depth, multiplicity affect coefficients generated by leaks. It compares effects different noise reduction parameters on proposes a characteristic selection principle curves, providing new solution precise under complex conditions.

Language: Английский

Leak Identification and Positioning Strategies for Downhole Tubing in Gas Wells DOI Open Access
Yunpeng Yang,

Guo-Hua Luan,

Lianfang Zhang

et al.

Processes, Journal Year: 2025, Volume and Issue: 13(6), P. 1708 - 1708

Published: May 29, 2025

Accurate detection of downhole tubing leakage in gas wells is essential for planning effective repair operations and mitigating safety risks annulus pressure buildup wells. Current localization methods employ autocorrelation analysis to exploit the time-delay features acoustic signals traveling through tubing–casing annulus. This allows non-invasive wellhead detection, avoiding costly retrieval or production shutdowns. However, field data show that multiphase flow noise, overlapping reflected waves, coupled multi-leakage points wellbore frequently introduce multi-peak interference curves. Such severely compromises accuracy time parameter extraction. To resolve this issue, our study experimentally analyzes how differential, aperture size, depth, multiplicity affect coefficients generated by leaks. It compares effects different noise reduction parameters on proposes a characteristic selection principle curves, providing new solution precise under complex conditions.

Language: Английский

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