The story of pharmaceutical production is often a quest for the golden batch: a repeatable process that consistently optimizes yield and quality. Recently an animal health subsidiary of Boehringer Ingelheim - a top international pharmaceutical company - began collaborating with Sartorius Stedim Data Analytics, a long time OSIsoft partner, on a project that uses multivariate data analysis techniques (MVDA) to create golden batch trajectories based on historic data. These golden batch trajectories can then be used for real-time monitoring and prescriptive process control for higher potency batches.
Year: 2018

In 2016, Goldcorp launched an ambitious plan, dubbed “20/20/20,” that aims to achieve a 20% increase in gold production, a 20% increase in gold reserves, and a 20% reduction in all-in sustaining costs. As part of that plan, the company initiated a PI System pilot project at its mine in Peñasquito, Mexico, to provide operators with real-time data and deliver dynamic performance targets to enhance metal recovery from the feed moving through the plant. In its first year, the project achieved a rapid return on investment, boosting the recovery rate of metals and effectively adding the equivalent of four to five days of additional production at Peñasquito.
Year: 2018

A typical offshore deep-water rig may be two or three hours by helicopter from land, making it one of the most hostile and logistically challenging environments on the planet. Deep-water rigs cannot be moored, and must be kept in place with huge thrusters to counteract the pressure of the wind and waves. The rigs are loaded with large, expensive and potentially dangerous equipment from many different manufacturers, each with its own proprietary data interface. Satellite communication with the mainland can be spotty, and bandwidth for exchanging data is a precious resource.  Transocean operates a fleet of 47 drilling rigs worldwide, each with up to 250 workers living and working on rig at any given time. As a result, they turned to OSIsoft's PI System to help improve well performance, enhance worker safety, enable greater automation, and move toward condition-based maintenance of critical equipment.
Year: 2018

Something needed to change at Aurelia Metals. Gold recovery rates were less than 75 percent and throughput low at the end of the fourth quarter f 2015. If Aurelia was going to survive, its Perth processing plant needed to increase its recovery rate to 85 percent. It also needed to increase cash flow and capital. When Peter Smith, Metallurgy Superintendent at Aurelia Metals, started his role on February 1, 2016, he had no idea of the task at hand. Two days later, when he was briefed on the state of the plant, he knew one thing: he needed the PI System to remove manual processes and gain the necessary visibility to implement process control. By mid-March, the PI System was up and running, recovery rates and throughput were improving, and Aurelia’s stock was rising.
Year: 2018

Around lunchtime on April 17, 2015, a massive power outage plunged the University of Maryland, College Park campus — a top-tier research facility that is home to 49,000 students, faculty and staff — into sudden darkness. The university was forced to close for several hours as the facilities management (FM) team rushed to restore steam and power to buildings.
Year: 2018