Sand moisture critically determines buried gas pipeline leak patterns: insights from fiber-optic vibration–thermal signatures

Subsurface gas pipeline leaks present critical safety risks governed by soil moisture-regulated multiphase dynamics. This study employs laboratory experiments integrated with dual-modality distributed fiber-optic sensing, simultaneously acquiring vibration and temperature signatures, to establish moisture-dependent failure criteria. Subsurface gas leakage from pressurized pipelines generates two distinct failure modes through soil interaction: spewing leaks characterized by crater-forming gas jets, and diffusion leaks marked by gradual pore-scale migration. Experimental results demonstrate that these regimes are governed by soil moisture content: (1) Under arid conditions (<5% moisture content), spewing leaks manifest through violent gas ejection of particulate matter, producing intense vibration amplitudes, and rapid thermal transients. (2) Conversely, in moisture-saturated sands (5%–15% moisture content), diffusion leakage predominates, characterized by gas percolation through evolving cavity–fissure networks that induce dual vibration mechanisms—soil matrix deformation and gas–granular interactions—coupled with moderated cooling rates. The observed transition between spewing and diffusion leak patterns, governed by soil moisture levels, highlights the need for dynamic detection protocols in pipeline integrity management. These findings advance mechanistic understanding of subsurface gas transport phenomena while offering potentially actionable guidelines for optimizing fiber-optic monitoring systems in heterogeneous soil environments.

Authors

Institutions

Publication Details

Journal
Canadian Geotechnical Journal
Published
2025-01-01
DOI
https://doi.org/10.1139/cgj-2024-0813
Primary Topic
Geotechnical Engineering and Underground Structures
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Sand moisture critically determines buried gas pipeline leak patterns: insights from fiber-optic vibration–thermal signatures

Qingnan Lou, Chengcheng Zhang, Zhuo Chen, Qiyu Xu et al.
Canadian Geotechnical Journal
Geotechnical Engineering and Underground Structures
article

Sand moisture critically determines buried gas pipeline leak patterns: insights from fiber-optic vibration–thermal signatures

Qingnan Lou, Chengcheng Zhang, Zhuo Chen, Qiyu Xu, T. Xie, Bin Shi
article en

Abstract

Subsurface gas pipeline leaks present critical safety risks governed by soil moisture-regulated multiphase dynamics. This study employs laboratory experiments integrated with dual-modality distributed fiber-optic sensing, simultaneously acquiring vibration and temperature signatures, to establish moisture-dependent failure criteria. Subsurface gas leakage from pressurized pipelines generates two distinct failure modes through soil interaction: spewing leaks characterized by crater-forming gas jets, and diffusion leaks marked by gradual pore-scale migration. Experimental results demonstrate that these regimes are governed by soil moisture content: (1) Under arid conditions (<5% moisture content), spewing leaks manifest through violent gas ejection of particulate matter, producing intense vibration amplitudes, and rapid thermal transients. (2) Conversely, in moisture-saturated sands (5%–15% moisture content), diffusion leakage predominates, characterized by gas percolation through evolving cavity–fissure networks that induce dual vibration mechanisms—soil matrix deformation and gas–granular interactions—coupled with moderated cooling rates. The observed transition between spewing and diffusion leak patterns, governed by soil moisture levels, highlights the need for dynamic detection protocols in pipeline integrity management. These findings advance mechanistic understanding of subsurface gas transport phenomena while offering potentially actionable guidelines for optimizing fiber-optic monitoring systems in heterogeneous soil environments.

Canadian Geotechnical JournalVol. 62
Hong Kong Polytechnic University (HK), Nanjing University (CN)
Openalex Percentile: Top 88%
Geotechnical Engineering and Underground Structures
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.