Columbia Pipeline Group was acquired by TransCanada Company on July 1, 2016. This created one of the largest natural gas transmission companies in the United States and North America, including one of North America's largest natural gas transmission networks with nearly 91,000 kilometers (56,900 miles) of natural gas pipelines – enough to circle Earth twice. TransCanada now transports more than 25 percent of the natural gas that North Americans rely on every day. This broad geographic footprint also provides between North America's premium markets and low-cost production basins.In August, OSIsoft signed its second Enterprise agreement with TransCanada's Columbia Pipelines to allow for the utilization of leading technology. OSIsoft's PI System is the center of Columbia's real-time infrastructure. Columbia's Enterprise Analytics (EA) platform, a Real-Time Intelligent Maintenance Solution, has transformed operational efficiency and maintenance strategies for its nearly 1.2 million horsepower compression fleet.Columbia performs commercial risk analysis by applying advanced statistical methods with real-time anomaly detection, downtime/up-time analysis, failure analysis, and asset health analysis to mitigate unplanned failures within its compression fleet. Highly accessible Business Intelligence dashboards are utilized to present streaming data from the executive level dashboard to the front line employee for immediate business impact and a sense of urgency to respond. Over 7,000 critical streams are utilized to create multiple situational awareness visualizations.Since the signing of the first enterprise agreement in 2011, Columbia's Enterprise Analytics platform has seen availability of the compression assets increase from 85% to 98%. Columbia has created an Asset Framework Data driven solution that minimizes implementation and deployment time through rapid application development (RAD) techniques and modern, open sourced web technologies for additional growth. Enterprise Analytics is a robust, highly available and scalable Real-Time Intelligent Maintenance Solution for Columbia's newly expanding compression fleet.
Year: 2016

TransCanada US Gas division has built a platform for identifying functional degradation through anomaly detection across their diverse rotating equipment fleet. This program has driven “just-in-time” condition based maintenance and significant savings through failure avoidance. The discussion will focus on: - The use of AF, in particular the design of SQC Analyses in AF Server 2017 for scalability and rapid growth - Technology and process best practices for building and maintaining thousands of statistical models, given the dynamic operating conditions across a large geographical footprint - Managing the investigative workflow from initial detection, through failure avoidance savings ...
Year: 2017

For TransCanada to be the industry leader in customer service and to meet the demands of our extremely competitive industry, we must operate safely and efficiently with a high degree of reliability. To do support this effort, we see the skills of our staff changing over time. Where once we hired engineers who had skills in classical engineering, we now need to add deeper skills in analytics and today’s data science techniques. Keary will review several projects from the TransCanada portfolio and highlight how the skill needs have changed as the PI System, the industry and TransCanada have matured.
Year: 2018

Oil & Gas industry is increasingly looking to move towards a data driven and technology focused way of working. Although in principal, this may sound relatively straightforward, however, the reality is that things have become a lot more complicated since many first deployed their real-time historian technologies. This webinar covers the challenges and the best practices on building central data strategies that can support your organization with many different layers of applications, data analysis and automation, from the edge all the way to the cloud. Key Takeaways: - What is a real-time data infrastructure? How it can support such a centralized approach? - How and why the modern PI System differentiates itself from a traditional historian. - The role of the data infrastructure in supporting analytics in a modern Oil & Gas operation. - Success stories on having the right data strategies can quickly deliver millions of improved productivity, cost savings and healthier assets.
Year: 2019

Stricter regulations have required life sciences companies to place even more emphasis on their regulatory compliance. Some of them use Electronic Batch Records (EBR) to report on their batch operations and to implement operational excellence programs to improve KPI's like OEE. They also monitor their processes in real-time in order to optimize the entire supply chain. These processes generate a vast amount of data. The term most pharmaceutical companies use today is Data Integrity, which is all about the data trustworthiness, data accessibility, and data quality during the entire product lifecycle. So how do you deploy a single source of truth that allows individuals to acquire this information in a fast, secure, and consistent way regardless of its origin? In this webinar, learn how life sciences companies use the PI System to improve regulatory compliance, increase throughput, reduce time-to-market, and improve knowledge management.
Year: 2019