More and more companies are turning to big data engines to gain new insights into sensor based data, assets, processes and business systems for novel operational insights. The reality is that there is a hybrid world of local data and ...
Year: 2015
Williams experienced early success with the PI System by leveraging the increased availability and visibility of operational data to avoid a turbine/compressor set failure at a gas processing plant. As keeping our compression horsepower online and available is critical to ...
Year: 2015
IT organizations are seeking innovative ways to analyze operating data using newly-available Business Intelligence, Data Warehousing, and Predictive Modelling technologies, to name a few. At the same time, OT organizations have recognized the value in including these new tools to ...
Year: 2015
Over the last several years, MOL’s downstream (refining and logistics) has been implementing a New Downstream Program (NDP) targeting improvements in the KPIs of: energy reduction (2% reduction); operational availability improvement (+1.1%); hydrocarbon loss reduction (30%); yield improvement (5%) generating ...
Year: 2015
As advances in instrumentation, networks, and production processes make data more prevalent within operations, the integration and modeling of information from across these varied sources is becoming a critical differentiator for improving process productivity, asset reliability, resource management and EHS.
Year: 2015