When legacy leak detection isn’t good enough in HCAs.

When legacy leak detection isn’t good enough in HCAs.

How a large Canadian producer achieved higher sensitivity, faster detection, and reliable localization on a high-risk condensate pipeline.

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Leak localization within 2 miles (3 km)

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Leak localization within 2 miles (3 km)

Close-up portrait of a person wearing a gray insulated hooded jacket with the hood up, showing their face framed by the hood against a light background.

Leak localization within 2 miles (3 km)

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10% difference, detected leak vs. measured rate

Close-up portrait of a person wearing a gray insulated hooded jacket with the hood up, showing their face framed by the hood against a light background.

10% difference, detected leak vs. measured rate

Close-up portrait of a person wearing a gray insulated hooded jacket with the hood up, showing their face framed by the hood against a light background.

10% difference, detected leak vs. measured rate

Close-up portrait of a person wearing a gray insulated hooded jacket with the hood up, showing their face framed by the hood against a light background.

Fewer than two (2) false alarms per month

Close-up portrait of a person wearing a gray insulated hooded jacket with the hood up, showing their face framed by the hood against a light background.

Fewer than two (2) false alarms per month

Close-up portrait of a person wearing a gray insulated hooded jacket with the hood up, showing their face framed by the hood against a light background.

Fewer than two (2) false alarms per month

Close-up portrait of a person wearing a gray insulated hooded jacket with the hood up, showing their face framed by the hood against a light background.

0.5% of flow leak caught in 4 minutes

Close-up portrait of a person wearing a gray insulated hooded jacket with the hood up, showing their face framed by the hood against a light background.

0.5% of flow leak caught in 4 minutes

Close-up portrait of a person wearing a gray insulated hooded jacket with the hood up, showing their face framed by the hood against a light background.

0.5% of flow leak caught in 4 minutes

Case study profile.

Case study profile.

Case study profile.

A large Canadian oil and gas producer operates critical condensate pipeline infrastructure supporting upstream production across environmentally sensitive areas. As performance expectations increased, the operator sought to replace a legacy leak detection system that was costly, ineffective, and poorly supported.

A large Canadian oil and gas producer operates critical condensate pipeline infrastructure supporting upstream production across environmentally sensitive areas. As performance expectations increased, the operator sought to replace a legacy leak detection system that was costly, ineffective, and poorly supported.

A large Canadian oil and gas producer operates critical condensate pipeline infrastructure supporting upstream production across environmentally sensitive areas. As performance expectations increased, the operator sought to replace a legacy leak detection system that was costly, ineffective, and poorly supported.

A large Canadian oil and gas producer operates critical condensate pipeline infrastructure supporting upstream production across environmentally sensitive areas. As performance expectations increased, the operator sought to replace a legacy leak detection system that was costly, ineffective, and poorly supported.

A large Canadian oil and gas producer operates critical condensate pipeline infrastructure supporting upstream production across environmentally sensitive areas. As performance expectations increased, the operator sought to replace a legacy leak detection system that was costly, ineffective, and poorly supported.

A large Canadian oil and gas producer operates critical condensate pipeline infrastructure supporting upstream production across environmentally sensitive areas. As performance expectations increased, the operator sought to replace a legacy leak detection system that was costly, ineffective, and poorly supported.

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Dark gradiend background
Dark gradiend background

Condensate lines with multiple river crossings present elevated environmental and regulatory risk, placing high demands on leak detection sensitivity, response time, and localization accuracy.

Asset type — condensate pipeline.

Pipeline length — 56 miles (90km.).

Special features — three (3) river crossings.

Operating context — high-consequence segments requiring fast detection and localization.

Condensate lines with multiple river crossings present elevated environmental and regulatory risk, placing high demands on leak detection sensitivity, response time, and localization accuracy.

Condensate lines with multiple river crossings present elevated environmental and regulatory risk, placing high demands on leak detection sensitivity, response time, and localization accuracy.

Asset type — condensate pipeline.

Pipeline length — 56 miles (90km.).

Special features — three (3) river crossings.

Operating context — high-consequence segments requiring fast detection and localization.

Condensate lines with multiple river crossings present elevated environmental and regulatory risk, placing high demands on leak detection sensitivity, response time, and localization accuracy.

Condensate lines with multiple river crossings present elevated environmental and regulatory risk, placing high demands on leak detection sensitivity, response time, and localization accuracy.

Asset type — condensate pipeline.

Pipeline length — 56 miles (90km.).

Special features — three (3) river crossings.

Operating context — high-consequence segments requiring fast detection and localization.

Condensate lines with multiple river crossings present elevated environmental and regulatory risk, placing high demands on leak detection sensitivity, response time, and localization accuracy.

The operator’s existing leak detection system was an out-of-the-box solution that failed to deliver reliable performance in live operations. The operator required a more sensitive, reliable leak detection system, supported locally, and capable of performing under real operating conditions. Key limitations included:


  • Insufficient sensitivity

  • Slow and inconsistent detection

  • Limited localization capability

  • High cost with minimal technical support

The operator’s existing leak detection system was an out-of-the-box solution that failed to deliver reliable performance in live operations. The operator required a more sensitive, reliable leak detection system, supported locally, and capable of performing under real operating conditions. Key limitations included:

The operator’s existing leak detection system was an out-of-the-box solution that failed to deliver reliable performance in live operations. The operator required a more sensitive, reliable leak detection system, supported locally, and capable of performing under real operating conditions. Key limitations included:


  • Insufficient sensitivity

  • Slow and inconsistent detection

  • Limited localization capability

  • High cost with minimal technical support

The operator’s existing leak detection system was an out-of-the-box solution that failed to deliver reliable performance in live operations. The operator required a more sensitive, reliable leak detection system, supported locally, and capable of performing under real operating conditions. Key limitations included:

The operator’s existing leak detection system was an out-of-the-box solution that failed to deliver reliable performance in live operations. The operator required a more sensitive, reliable leak detection system, supported locally, and capable of performing under real operating conditions. Key limitations included:


  • Insufficient sensitivity

  • Slow and inconsistent detection

  • Limited localization capability

  • High cost with minimal technical support

The operator’s existing leak detection system was an out-of-the-box solution that failed to deliver reliable performance in live operations. The operator required a more sensitive, reliable leak detection system, supported locally, and capable of performing under real operating conditions. Key limitations included:

Pipewise deployed its CPM VBx leak detection system, combining statistical volume balance with Real-Time Transient Modeling (RTTM) to deliver layered detection and localization performance. The solution was selected for its ability to:

- Detect small leaks rapidly

- Localize leaks with actionable accuracy

- Remain robust during transient operations

- Outperform legacy systems at a lower total cost

- Provide responsive, 24/7 technical support

Pipewise deployed its CPM VBx leak detection system, combining statistical volume balance with Real-Time Transient Modeling (RTTM) to deliver layered detection and localization performance. The solution was selected for its ability to:

Pipewise deployed its CPM VBx leak detection system, combining statistical volume balance with Real-Time Transient Modeling (RTTM) to deliver layered detection and localization performance. The solution was selected for its ability to:

- Detect small leaks rapidly

- Localize leaks with actionable accuracy

- Remain robust during transient operations

- Outperform legacy systems at a lower total cost

- Provide responsive, 24/7 technical support

Pipewise deployed its CPM VBx leak detection system, combining statistical volume balance with Real-Time Transient Modeling (RTTM) to deliver layered detection and localization performance. The solution was selected for its ability to:

Pipewise deployed its CPM VBx leak detection system, combining statistical volume balance with Real-Time Transient Modeling (RTTM) to deliver layered detection and localization performance. The solution was selected for its ability to:

- Detect small leaks rapidly

- Localize leaks with actionable accuracy

- Remain robust during transient operations

- Outperform legacy systems at a lower total cost

- Provide responsive, 24/7 technical support

Pipewise deployed its CPM VBx leak detection system, combining statistical volume balance with Real-Time Transient Modeling (RTTM) to deliver layered detection and localization performance. The solution was selected for its ability to:

Pipewise delivered measurable improvements across sensitivity, speed, and reliability. These results enabled rapid response and confident decision-making on a high-risk condensate asset.

* Leak sensitivity — 0.5% of pipeline flow rate.

* Detection time — 4 minutes.

* Leak localization — 2 miles (3 km.).

* Detected vs. measured leak volume — ±10%

* False alarms — fewer than 2 per month.

Pipewise delivered measurable improvements across sensitivity, speed, and reliability. These results enabled rapid response and confident decision-making on a high-risk condensate asset.

Pipewise delivered measurable improvements across sensitivity, speed, and reliability. These results enabled rapid response and confident decision-making on a high-risk condensate asset.

* Leak sensitivity — 0.5% of pipeline flow rate.

* Detection time — 4 minutes.

* Leak localization — 2 miles (3 km.).

* Detected vs. measured leak volume — ±10%

* False alarms — fewer than 2 per month.

Pipewise delivered measurable improvements across sensitivity, speed, and reliability. These results enabled rapid response and confident decision-making on a high-risk condensate asset.

Pipewise delivered measurable improvements across sensitivity, speed, and reliability. These results enabled rapid response and confident decision-making on a high-risk condensate asset.

* Leak sensitivity — 0.5% of pipeline flow rate.

* Detection time — 4 minutes.

* Leak localization — 2 miles (3 km.).

* Detected vs. measured leak volume — ±10%

* False alarms — fewer than 2 per month.

Pipewise delivered measurable improvements across sensitivity, speed, and reliability. These results enabled rapid response and confident decision-making on a high-risk condensate asset.

Why it matters.

Why it matters.

Why it matters.

“The system is adaptable, robust, and accurate in finding and localizing leaks. Thanks for the help with troubleshooting. Top-notch customer service as always.”

— Operations Team


“The system is adaptable, robust, and accurate in finding and localizing leaks. Thanks for the help with troubleshooting. Top-notch customer service as always.”

“The system is adaptable, robust, and accurate in finding and localizing leaks. Thanks for the help with troubleshooting. Top-notch customer service as always.”

— Operations Team


“The system is adaptable, robust, and accurate in finding and localizing leaks. Thanks for the help with troubleshooting. Top-notch customer service as always.”

“The system is adaptable, robust, and accurate in finding and localizing leaks. Thanks for the help with troubleshooting. Top-notch customer service as always.”

— Operations Team


“The system is adaptable, robust, and accurate in finding and localizing leaks. Thanks for the help with troubleshooting. Top-notch customer service as always.”

The system transformed leak detection from a compliance obligation into a trusted operational safeguard. For this operator, replacing a legacy LDS delivered immediate value:

* Improved sensitivity and faster detection on a high-consequence pipeline

* Actionable leak localization to support rapid response

* Reduced false alarms, preserving controller confidence

* Reliable, local technical support integrated into operations

The system transformed leak detection from a compliance obligation into a trusted operational safeguard. For this operator, replacing a legacy LDS delivered immediate value:

The system transformed leak detection from a compliance obligation into a trusted operational safeguard. For this operator, replacing a legacy LDS delivered immediate value:

* Improved sensitivity and faster detection on a high-consequence pipeline

* Actionable leak localization to support rapid response

* Reduced false alarms, preserving controller confidence

* Reliable, local technical support integrated into operations

The system transformed leak detection from a compliance obligation into a trusted operational safeguard. For this operator, replacing a legacy LDS delivered immediate value:

The system transformed leak detection from a compliance obligation into a trusted operational safeguard. For this operator, replacing a legacy LDS delivered immediate value:

* Improved sensitivity and faster detection on a high-consequence pipeline

* Actionable leak localization to support rapid response

* Reduced false alarms, preserving controller confidence

* Reliable, local technical support integrated into operations

The system transformed leak detection from a compliance obligation into a trusted operational safeguard. For this operator, replacing a legacy LDS delivered immediate value:

Want to see how advanced leak detection performs on high-consequence pipelines?