Headquartered in Houston, Texas, Columbia Pipeline Group owns and operates a compression fleet of over 1 million horsepower, and 15,000 miles of strategically located interstate natural gas pipelines, integrated with one of the largest underground storage systems in North America. From the Gulf Coast to the Midwest, Mid-Atlantic and Northeast, our systems connect premium natural gas supplies with some of the nation's strongest energy markets, serving customers in 16 states. More than one trillion cubic feet of natural gas flows through our pipeline and storage systems each year, providing competitively priced, clean energy for millions of homes, businesses and industries.
As a gas transmission and storage operator we are faced with many industry challenges: Columbia Pipeline Group intends to make the best use of available technology. In 2011, Columbia Pipeline Group signed its first Enterprise Agreement with OSIsoft to allow for the utilization of leading technology. The OSIsoft PI System infrastructure is a key component of Columbia's Compression Enterprise Analytics solution, and is currently planning to expand to supporting gas quality, measurement, operational field surveillance, and storage assets.
Through the Enterprise Analytics solution, CPG has averted potential failures across its system utilizing Real Time Analytics and situational awareness dashboards. In 2016, we developed new, enhanced algorithms utilizing Statistical Quality Control (SQC) to detect anomalies. Utilizing data history from sensors on our fleet, we can calculate the mean (average) and the standard deviation (sigma) to determine an anomaly threshold, well in advance of an alarm or shutdown preventing an unplanned event. We are currently applying and testing this technique to thousands of sensors on our compression fleet. As part of Reliability 3.0, we are working to add Gas Quality and filter separators into our analytics and notification monitoring program. In addition to continuous improvement of our algorithms, we are also evaluating multi-variate approaches to anomaly detection, which will allow us to detect anomalies across multiple correlated sensors. We are extremely excited over the results observed in 3.0, with numerous failure avoidance events this year. These additional enhancements and insight presents the next steps in CPG's Path to Premier, improving operational excellence through continuous learning with the PI System and ESRI.
Keary Rogers joined Columbia Pipeline Group in 2005 and has held several roles with increasing responsibilities. Keary has nearly 20 years of oil and gas exploration, production, and transmission experience. He most recently held the position within Engineering of Project Developer, where he played a key role in the development of new growth and Modernization projects. Keary is now Manager, System Reliability, accountable for the strategic development and execution of Real-time Predictive Analytics for the CPG Compression Fleet and Gas Quality.
Ionut Buse has been with Columbia Pipeline Group for the past 5 years in the role of Senior Technical Reliability Consultant. Ionut's work is focused around implementation of algorithms within CPG's Enterprise Analytics solution. He holds a double Bachelors degree in Computer Science and Mathematics from West Virginia Institute of Technology.