TotalEnergies
TotalEnergies accelerates its energy transition with AVEVA solutions
TotalEnergies is pursuing an ambitious diversification into renewable energy with a net-zero emissions target. However, the group needed to unify the calculations and visualizations used by its various teams, track and mitigate greenhouse gas emissions through a scalable digital solution, and devise new approaches for emerging energy sources. A long-standing AVEVA user, the company deployed AVEVA PI System, AVEVA PI Vision, AVEVA PI Server and AVEVA Predictive Analytics to build a true digital twin with enterprise models, analytics and visualization. The RAID system remotely monitors critical assets and anticipates failures. The results are remarkable: a 15% annual reduction in CO2 emissions in one use case, 500,000 barrels saved by avoiding an upstream production shortfall, €1.5 million and 64 days of downtime avoided in one year, 36,000 alerts generated and 429 critical equipment catches. Models, created only once, can be applied to hundreds of pieces of equipment and support the group's energy transition.
FAQ
What is TotalEnergies' RAID system and how does AVEVA make it possible?
TotalEnergies' RAID (Remote Asset Integrity Diagnostics) system remotely monitors critical assets and anticipates failures. It relies on AVEVA PI System, PI Vision, PI Server and Predictive Analytics to collect, contextualize, analyze and visualize operational data. In one year, RAID generated 36,000 alerts, captured 429 anomalies on critical equipment and avoided €1.5 million in losses as well as 64 cumulative days of downtime. It is a flagship demonstration of modern industrial predictive maintenance.
How does AVEVA help cut CO? emissions by 15% in oil and gas?
In one of its use cases, TotalEnergies cut its annual CO? emissions by 15% thanks to AVEVA PI System and Predictive Analytics. The platform identifies energy inefficiencies, optimizes operating parameters and detects greenhouse gas leaks. For a major committed to net zero emissions, this continuous measurement and optimization capability is indispensable. AVEVA thus becomes a key environmental management tool, turning real-time data into concrete reductions in the carbon footprint of operations.
How can predictive maintenance prevent the loss of 500,000 barrels of production?
TotalEnergies saved 500,000 barrels by avoiding an upstream production shortfall thanks to AVEVA Predictive Analytics. The platform detected a drift on a critical piece of equipment early, before failure, allowing a planned intervention rather than a massive production loss. At an average barrel price, this early warning represents tens of millions of euros in secured revenue. Multiplied across the entire global portfolio, AVEVA predictive maintenance generates considerable value for the French major.
How can AVEVA unify calculations and visualizations across global teams?
TotalEnergies unified the calculations and visualizations used by its various global teams thanks to AVEVA PI System and PI Vision. Models, created once, are applied to hundreds of pieces of equipment and assets across the portfolio. This standardization eliminates methodological differences between subsidiaries, speeds up the sharing of best practices and ensures the consistency of consolidated KPIs. For a major present on every continent, it is a prerequisite for digital transformation at scale.
How does AVEVA support an oil major's energy transition?
TotalEnergies is pursuing ambitious diversification into renewables with a net zero emissions target. AVEVA PI System, PI Vision, PI Server and Predictive Analytics form a robust data platform capable of monitoring both traditional assets (refineries, offshore platforms) and new energy sources (solar, wind, hydrogen). This flexibility is essential for a company in transformation: the same digital infrastructure supports the operation of the legacy portfolio while enabling the growth of the low-carbon portfolio.