Predictive Analytics For Improved Performance In Oil And Gas

In the midst of tough economic times, oil and gas businesses are facing an urgent need to operate at the highest levels of efficiency while increasing productivity and controlling costs. They want to limit downtime and minimize risks to safety and the environment. While there are a number of challenges facing the industry, including digital disruptions and financial uncertainty, applications enabled by the Industrial Internet of Things (IIoT) can provide significant performance and reliability improvements.

From an asset performance management (APM) perspective, organizations are leveraging industrial data and advanced analytics to keep equipment running safely and reliably for as long as possible. This is made possible through data collection and analysis for predictive maintenance execution, consequently empowering personnel to act before equipment failure occurs.