Drive Out Downtime With Data

Maximum asset availability with minimal risk has long been the goal for oil and gas operations. However, achieving it has historically been more of an art than a science for many companies because they lacked a crucial component: insight into equipment performance metrics.

A shortage of operations and performance data is no longer the issue. Many operators are collecting an abundance of data as they create a digital oil field. Oil and gas producers are eager to take it to the next level and use data from their equipment, devices and systems as part of reliability-centered maintenance (RCM) programs to identify and programmatically and methodically address failures before they occur.

However, an RCM strategy isn’t simply about collecting data. Operators need to make sure they get the right data from the right sources. Moreover, they need to consistently monitor and perform analysis to create a continuous improvement approach to reliability maintenance. This approach will help workers track health and performance of systems and equipment, identify and address failures before they occur, reduce operational risks and ultimately achieve the desired business results.

The journey to proactive and predictive maintenance can be a bumpy road, especially when there are hundreds of thousands of devices in the field. Other challenges, like an aging workforce, security risks and decades-old equipment, only complicate matters further.

There are ways to simplify the effort. An effective, data-driven RCM strategy can help operators maximize equipment performance, minimize downtime and reduce safety, security and environmental risks.