Health Consultants unveils advanced mobile leak detection system

(UC) — For years, reduction of gas leaks on aging infrastructure has been an issue for the natural gas industry, particularly the down-stream (distribution) marketplace.

Heath Consultant’s Discover AMLD addresses this issue by reducing methane emissions through the identification of gas leaks with minimum false positives and negatives compared to competing technologies. 

Discover AMLD is an open-air fixed path Mid-IR Tunable Diode Laser Absorption Spectroscopy (TDLAS). Resolution is in the part per billion (ppb) range for both methane and ethane. Ethane detection aids in determining whether a detection is pipeline gas or naturally occurring biogas.

Sensitivity levels, along with a proven detection algorithm, can detect and distinguish between a pipeline gas leak verses a non-pipeline gas leak, such as sewer, landfill and soil/biogas indications.

Discover AMLD consists of a vehicle equipped with the detector, GPS, anemometer and proprietary software loaded onto the vehicle’s computer/tablet. All components were designed to require minimal modifications to the vehicle and utilize the latest in wireless technology.

The Discover AMLD analytic method improves the reduction of false positives and increases the accuracy of detection. Field testing has shown a greater than 95% probability of gas leak detection. The cloud-based Leak Survey Analytics (LSA) software, along with Discover AMLD’s Graphical User Interface (GUI) streams data directly to the secured cloud, which can analyze and process the data in real-time to produce actionable reports. 

Customers will have the ability to synchronize, assign surveys and visualize results of the localization and quantification algorithms within LSA’s user interface. This clear visual indication of potential gas leak areas gives customers the flexibility to select and assign leaks to technicians for further investigation and track the status of the leak investigation.

Related News

From Archive

Comments

{{ error }}
{{ comment.comment.Name }} • {{ comment.timeAgo }}
{{ comment.comment.Text }}