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Detechtion Technologies Eliminates Over 600,000 Metric Tons of CO₂ Emissions Every Year

Detechtion Technologies, the world leader in compression optimization and fleet management, announced today that a recent study showed that it enables its customer base to eliminate over 600,000 metric tons of CO₂ emissions on an annual basis through ongoing compressor optimization. Using Enalysis™, Detechtion customers are able to look for inefficiencies in compression fleets that, when acted upon, lead to less power consumption to move the same amount of natural gas.

As more companies strive to reduce their carbon footprint due to tightening regulations from province, state and federal agencies, oil and gas production and midstream companies must find ways to deliver natural gas to the market in more efficient ways. Compressors that are configured sub-optimally waste power leading to unnecessary CO₂ emissions. Finding low cost, high impact opportunities for efficiency gains not only saves the environment from those extra greenhouse gas emissions, but the companies enjoy the added benefit of reducing expenses through reduced carbon levies, fuel gas and/or electricity usage.

According to the Environmental Protection Agency, the typical passenger vehicle emits about 4.7 metric tons of CO₂ per year. The reduction in CO₂ emissions enabled and acted upon by Enalysis™ users results in the equivalent of eliminating more than 130,000 passenger vehicles from North American roadways.

Kirk Hanes, SVP of Sales and Marketing for Detechtion, said “The primary value we bring our customers is through identifying opportunities to increase utilization in compression fleets, but just as importantly, we also detect opportunities to increase efficiencies and save power consumption leading to lower CO₂ emissions without sacrificing production. When asked recently how Detechtion helps companies reduce their carbon footprints, I was pleased to commission a study by our engineers to quantify just how much we were helping to affect this increasingly important metric.”

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