Case Study: Devon Energy improves haul-off operations and predictive scheduling with Seeq Corporation

Devon Energy - Customer Case Study

Devon Energy, a leading North American oil and natural gas producer, struggled with massive volumes of SCADA and historian data spread across remote operations. Its liquid tank haul-off process was especially manual and error-prone, with truck drivers recording tickets on paper and employees re-entering data into spreadsheets, making it difficult to know what was picked up, when trucks were onsite, or when tanks would need to be emptied. Devon Energy turned to Seeq Corporation and its real-time analytics capabilities to make this operational data more usable for both OT and business teams.

Seeq Corporation helped Devon Energy clean and analyze time-series data, detect haul-off events, and predict when future pickups would be needed. By integrating Seeq with Devon’s historian, dashboards, and Power BI, the company eliminated manual data entry, improved situational awareness, reduced partial hauls, and enabled faster, more accurate scheduling and reporting. The solution also supported better collaboration across IT, OT, and marketing while improving confidence in the data and laying the groundwork for automated audit traceability and future digital load tickets.

Devon Energy

Don Morrison

Real Time Data Engineer