Given the volatility of the oil and gas market, Eni’s long-term success hinges on the combination of optimizing a network of upstream assets while locating new extraction opportunities. To create new efficiencies in production by finding optimal asset parameters, Eni turned to AVEVA PI System. Leveraging data to feed simulation models representing real-time oil field conditions, Eni embarked on a journey to optimize asset configuration and maximize oil production across sites.
“We can build a model, but we need AVEVA PI System.”
Luca Cadei, Deputy Plant Manager, Southern District, Eni
Goals
- Model and simulate production scenarios
- Deploy a digital twin to maximize upstream assets
Challenges
- Lack of real-time data prevented robust modeling
- Data collection, extraction, and analysis were time-consuming
Solutions
Results
- DCP Midstream saved $25M in fiscal year 2017 thanks to improved plant operations
- Field crews can monitor sites remotely and receive earlier notification of issues at field sites
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