NEWS: Project Canary Featured in Denver Business Journal as Second E&P Joins Continuous Monitoring Program

Bayswater is Second E&P to Join Air Emissions Monitoring Program, Chooses Project Canary’s Continuous Monitoring Solution

Project Canary was featured in The Denver Business Journal in an article covering the growing momentum among leading oil and gas producers for continuous air emissions monitoring.

Bayswater Exploration and Production recently announced participation in an air emissions program that will cover approximately 99% of its daily production volumes sourced from the Denver-Julesberg Basin, just northeast of Denver.

Steve Struna, president and CEO of Bayswater, remarked: “We chose to engage with Payne and Project Canary because of the tremendous learning opportunity it provides us to know even more about improving the efficiency of our operations so that we can engage more effectively with the communities where we operate and the regulators who oversee our activities. Our goal is to demonstrate the low environmental impact of our operations. The best thing we can have is real-time data which affords us the opportunity to continuously improve our health, safety, and environmental performance.”

DOWNLOAD DBJ STORY (PDF)

The Bayswater announcement follows the January 16, 2020 news from Crestone Peak Resources announcing that company’s participation in the Continuous Monitoring Program.

About Project Canary

Project Canary is a climate technology company that offers an enterprise emissions data platform that helps companies identify, measure, understand, and act to reduce emissions across the energy value chain. Given its outsized impact, the Company started with methane and has since expanded to other greenhouse gasses. Project Canary’s mission is to Measure It — leveraging sophisticated software solutions to help companies improve and report on their emissions footprint. They do this by building high-fidelity sensors, ingesting data from various other technologies and sources, characterizing the accuracy of such emissions data, and deploying advanced physics-based AI-powered models to identify leaks and quantify emissions.
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