Edge-enabled processing for real-time asset monitoring

Sites are monitored by vehicles that can replicate up or back to a main data center via an LTE link

This top oilfield service company was challenged with having to provide operational intelligence and real-time monitoring for their remote oil wells in areas of poor connectivity.

It was looking for visibility into telemetry data that can show the overall oil well health, such as yield and oil quality. In addition, because of its global scale, they needed the data to be centralized to optimize the logistics of the entire fleet and reduce overall operational costs. Some of the unique requirements for data processing fall into two categories: control and execution data and oil well performance data.

KX was selected for its ability to capture big data levels and analytic capability at the edge, where traditionally compute resources are limited. 

The client realized immediate improvements to its operations and added fault detection capabilities and predictive maintenance models at the edge on site. A key factor was KX’s ability to process its data across two categories of control and execution data and oil well performance data. Components of the solution include:

• Capturing incoming data feeds from the treatment and observation wells
• User interfaces for control and telemetry display
• Integrating with python models used to create derived datasets
• Uplink to the region office
• Connecting over RabbitMQ
• Remote online reconfiguration of software and parameters