Andrew Foltz, Project Engineer, Marathon Pipeline

Learn how Seeq Datalab and Monte Carlo simulation can help operators understand pressure behavior across complex crude oil gathering networks, where constantly changing site activity makes traditional capacity analysis difficult. He explains how the approach uses real operating data to model thousands of possible conditions, score bottlenecks, and identify targeted solutions—including drag-reducing agents and variable-speed drives—that reduce high-pressure shutdown risk while preserving throughput. The session highlights practical results, including a roughly 90% reduction in projected high-pressure events, improved producer flexibility, lower chemical usage, and new opportunities to support pipeline forecasting, expansion, and network design.