PetroChina — high-sulfur gas pipeline
Third-party intrusion and leak early-warning on a high-sulfur pipeline — replaced a leading global vendor after a multi-vendor field trial.
Every number comes from field verification and on-site measurement — trusted by leading energy and infrastructure operators.
Third-party intrusion and leak early-warning on a high-sulfur pipeline — replaced a leading global vendor after a multi-vendor field trial.
59.14 km gas spur line; excavator 25 m, farming 5 m, manual 2 m alarm ranges verified.
First CCUS CO₂ long-haul pipeline third-party intrusion and leak early-warning system.
First high-sulfur pipe-in-pipe third-party intrusion and leak early-warning system.
Ranked first in centralized procurement; 32 of 33 alarms verified valid.
Structural health monitoring for the largest cross-section highway tunnel.
What do the figures on this page actually mean? "Recognition accuracy" refers to DAS event identification during on-site field testing, where every alarm produced by the system is checked against what really happened on the ground. "Effective alarm rate" is measured over long-term operation: of all alarms raised, the share confirmed as genuine events rather than nuisance triggers. Because different activity types justify different response urgency, alarm zones are calibrated per event class — on the China–Myanmar gas spur line described below, the verified ranges were 25 m for excavator operations, 5 m for farming activity and 2 m for manual activity. Every number published here comes from field verification and on-site measurement on the customer's asset, not from laboratory simulations.
Why does a high-sulfur gas pipeline demand stricter intrusion and leak detection than an ordinary one? Hydrogen-sulfide-bearing service is corrosive, hazardous to people and environmentally sensitive, so any third-party activity near the right-of-way must be identified early and located precisely. On this PetroChina pipeline, Landsub Global's DAS system was evaluated in a multi-vendor field trial alongside a leading global vendor — and Landsub Global's system achieved 100% on-site event recognition during the field test, after which it replaced the incumbent international vendor on the line. For the operator, the result demonstrated that the full in-house chain — optical path, demodulation and AI event classification — could outperform an established supplier under the most demanding service conditions, on the customer's own asset and on the customer's own test protocol.
Can a fiber optic sensing system stay reliable across a long, rural right-of-way with constant agricultural and construction activity? On a 59.14 km gas pipeline spur forming part of the China–Myanmar corridor, operated by the national pipeline operator, Landsub Global's DAS system was deployed for continuous third-party intrusion and leak early-warning. Over long-term operation the system sustained a 95% effective alarm rate — the share of alarms confirmed as genuine events — across a right-of-way that mixes farmland, roads and populated areas. Alarm zones were calibrated per activity class and verified on site: 25 m for excavator operations, 5 m for farming and 2 m for manual activity. This is the operating profile where nuisance alarms usually defeat competing systems; sustained 95% effectiveness across 59.14 km of mixed terrain is what field-tuned AI classification delivers.
What does it take to monitor a CO₂ pipeline for carbon capture, utilization and storage? CCUS CO₂ pipelines are a young asset class: the transported fluid is dense-phase, odorless and harder to trace than natural gas, so third-party intrusion and leak early-warning has to come from the sensing system itself. Landsub Global delivered the intrusion and leak early-warning system for PetroChina's CCUS CO₂ long-haul pipeline — the first application of third-party intrusion and leak early-warning on a CCUS CO₂ long-haul pipeline in China. The deployment extended distributed fiber optic sensing from conventional hydrocarbon service into carbon-management infrastructure, and it was followed by further first-of-kind applications, including high-sulfur pipe-in-pipe monitoring for Sinopec described below.
Across these references, three practices repeat on every project:
Do these results only apply to oil and gas pipelines? No — the underlying platform is the same. The DAS units that delivered 100% field-test recognition on a high-sulfur pipeline and 95% effective alarm rate across 59.14 km are the same hardware and AI stack that Landsub Global deploys on power cable tunnels, railway and highway structures, conveyor systems and live optical cable networks. What changes between sectors is the event model and calibration, not the sensing chain. For example, the largest cross-section highway tunnel we monitor uses our structural monitoring approach on the DTSS-BOTDR side, while in-service fiber monitoring keeps telecom and composite cables under 7×24 watch to 100 km with ±1 m fault location. When you evaluate us for a new sector, the pipeline references on this page serve as engineering evidence of range, sensitivity and alarm discipline — and our job in the proposal is to show how the same field-calibration method maps onto your asset.
A factual comparison against conventional point-based systems — the incumbents named here stay anonymous; the operating characteristics do not.
| Dimension | Conventional point-based systems | Distributed fiber monitoring on these projects |
|---|---|---|
| Route coverage | Instrumented points with long unmonitored gaps along the right-of-way | Continuous coverage of every meter — 59.14 km supervised on a single gas spur line |
| Alarm credibility | Nuisance alarms typically erode operator trust in the system | 95% effective alarm rate sustained over long-term operation; 100% event recognition in a multi-vendor field trial |
| Event localization | Accuracy degrades with distance from the nearest instrumented point | Meter-level localization along the full route, verified per activity class on site |
| Trial outcome | Incumbent systems evaluated on identical test protocols | Selected to replace a leading global vendor after a customer-run multi-vendor field trial |
Every figure published on this page passes the same acceptance discipline — here is what that looks like on site.
During a multi-vendor field trial run by the operator on the same line, Landsub Global's DAS system achieved 100% on-site event recognition under the customer's own test protocol — after which it replaced a leading global vendor. The comparison was conducted on identical fiber, terrain and event classes, so the deciding factor was measured alarm quality, not specification sheets.
The sensing platform is the same across sectors; what changes is the event model and site calibration. The same DAS hardware and AI stack that delivered 95% effective alarm rate across 59.14 km also runs on power cable corridors, railway structures, conveyors and live optical cable networks — with RFTS keeping in-service fibers under 7×24 watch to 100 km with ±1 m fault location.
Tell us your scenario — we'll share relevant references.
Last updated: September 2026