MidPetCo 2.0 Initiative Leverages Operational Data for Profitability
In late 2016, MidPetCo entered into an agreement with OSIsoft to deploy PI System software as a real-time critical operations data integration, applications, and analytics infrastructure throughout their enterprise. They had been generating an enormous amount of digital operations data, but it was underutilized. They were confident after their research and engagement with OSIsoft that the PI Systems would assist in converting their raw data to actionable intelligence. Using an OSIsoft integration partner, MidPetCo's initial use cases were
- • Implementing a consolidated real-time system of record,
- • Creating broad situational awareness of fleet operations for real-time decision-making,
- • Aggregating operator-round information with control system sensor data, and
- • Maximizing equipment performance so that unscheduled downtimes are reduced.
An important part of MidPetCo 2.0 was the high-level linkage of digital strategy with business strategy and the determination of baseline KPIs with institutionalization of measuring for continuous improvement and reporting to their board of directors. These measurable business strategy KPIs, which tied back to EBITDA improvement targets, were to
- • Increase ethane recovery,
- • Reduce the operations and maintenance expenditures as a percentage of installation base,
- • Reduce miles driven by their outside operational and maintenance personnel,
- • Improve return on capital employed (ROCE), and
- • Reduce environmental compliance and reporting costs.
To enhance their implementation, MidPetCo made use of the PI System's PI AF capability to create a representation of their fleet-wide assets. One of the keys to success was a strategy and approach to train and enable their SMEs to configure in an agile, evolutionary way, digital replicas (twins) of physical assets templates for real-time analytics, alerts, and notifications. These smart asset class templates were used to build out a digital replica (twin) of physical systems such as gas plants and compressor stations. In short order, MidPetCo had more than 500,000 data streams monitored by their PI Systems, along with more than 8,000 AF elements using over 400 templates (29 times scale), and more than 300 role-based displays across their enterprise, most of which were configured by the end users leveraging the PI AF asset hierarchy in a drag-and-drop basis. They also utilized PI event frames to segment their gas processing into significant, trackable events, comparing performance among various events. The use of templates allow for massive scalability and sustainability. This is illustrated in Figure 8.3.
The power of PI AF templates in scalability and sustainability.