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DCP Midstream

DCP Midstream improves the visibility of its assets with AVEVA PI System

DCP Midstream sought to gain critical visibility into its assets, connect heterogeneous systems and give its staff a single view of all operations. Existing systems had not been designed for reporting or analysis, and field teams spent many hours physically inspecting each site, limiting both responsiveness and productivity. Deploying AVEVA PI System, complemented by AVEVA PI Vision, centralized operational information and established coordinated, real-time decision-making across the organization. Teams can now monitor sites remotely and receive early notification as soon as an anomaly occurs. The financial benefits match the scale of the transformation: DCP Midstream saved $25 million in fiscal year 2017 alone through improved plant operations, demonstrating the profitability of a data-driven strategy.

Objectives

  • Gain visibility into plants, 57,000 miles of gathering pipelines, and 4,500 miles of natural gas pipelines
  • Provide crews with a single view of operations and remote monitoring capabilities

Solutions

  • AVEVA PI System
  • AVEVA PI Vision

Results

  • DCP Midstream saved $25 million in fiscal 2017 through improved plant operations
  • Field teams can monitor sites remotely and receive earlier notification of issues at field sites

Testimonials

"In 2017, which I think is the ramp-up year where we still have a lot of heavy investments... we're starting to see the return. We've already recouped that return on investment.
Kevin Milliman
Director, Capital Projects, DCP Midstream

FAQ

How does AVEVA PI System unify 61,500 miles of oil and gas pipelines?
DCP Midstream operates 57,000 miles of gathering pipelines and 4,500 miles of gas transmission pipelines. AVEVA PI System centralizes operational data from this massive infrastructure, complemented by AVEVA PI Vision, which presents these data streams to teams as actionable dashboards. This consolidation turns site-by-site supervision into real-time management at the scale of a midstream oil and gas group, a paradigm shift in the pipeline industry.
How can $25 million be saved in one year thanks to data management?
DCP Midstream saved $25M in fiscal year 2017 thanks to AVEVA PI System and PI Vision. The sources of savings: optimized plant operations, fewer physical inspections, incident anticipation and better coordination between sites. This immediate, measurable ROI illustrates the tangible economic value of centralizing data in the midstream oil and gas sector, where every hour of downtime and every unnecessary trip represents a significant cost.
How can a pipeline operator eliminate time-consuming physical inspections?
Before AVEVA, DCP Midstream's field teams spent many hours physically inspecting each site. AVEVA PI Vision now provides real-time remote monitoring: teams only travel when strictly necessary, based on early alerts. This transformation of the operating model frees up time for core work, reduces travel (and its carbon footprint) and improves the safety of teams working on distributed assets.
What role does AVEVA PI Vision play in early incident notification?
AVEVA PI Vision delivers alarms and critical deviations in real time to DCP Midstream's teams, wherever they are. Early notifications trigger corrective actions before an incident escalates. For a pipeline operator, this responsiveness is strategic: it limits leaks, protects the environment and reduces intervention costs. Modern industrial monitoring is as much about anticipating as reacting.
Why unify the operational view of a midstream oil and gas operator?
DCP Midstream's existing systems had not been designed for reporting or analysis, creating silos that hampered overall decision-making. AVEVA PI System provides a single, federated view of operations, accessible at every level of the organization. This cross-functional transparency makes it easier to make trade-offs between sites, optimize flows and coordinate teams. It is a pillar of digital transformation in the midstream oil and gas industry.