Oil & Gas

APERIO DataWise for Oil & Gas eBook

APERIO DataWise for Oil & Gas eBook 2560 1792 APERIO

This eBook shows to implement fleetwide data validation and see its immediate impact on revenue. 16 customer examples in upstream, midstream, and downstream oil and gas are shared.

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Large Industrial Gas Producer

Large Industrial Gas Producer 2560 1440 APERIO

One of the world’s largest industrial gas producers uses APERIO DataWise to monitor and improve the health of its fleet of sensors.

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Large Petrochemicals Producer

Large Petrochemicals Producer 2560 1707 APERIO

Large petrochemicals company seeks to monitor and improve performance but the process is not fully monitored presently.

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Middle Eastern Oil Company

Middle Eastern Oil Company 2560 1704 APERIO

Monitor and validate data to improve performance across more than 100 plants and sites.

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Big Oil Company

Big Oil Company 2560 1608 APERIO

Big Oil company uses APERIO DataWise to ensure the accuracy of their newly consolidated view of real time production and maintenance data.

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North American Pipeline Company

North American Pipeline Company 2560 1707 APERIO

A North American pipeline company uses APERIO DataWise to validate PI data during migration from spreadsheets to OSIsoft PI and make it accessible to the right people at the right time.

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Midsize US Refiner

Midsize US Refiner 2560 1437 APERIO

Midsize refiner requires efficient and accurate emissions data reporting and automated workflows to continuously improve emissions profile.

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Midstream Gas Company

Midstream Gas Company 1920 1280 APERIO

Midstream gas company used APERIO DataWise to digitize operations to collect, centralize, and validate the data in simple and complex digital twins.

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Asian Oil and Gas Company

Asian Oil and Gas Company 2560 1438 APERIO

Asian oil & gas company uses APERIO DataWise to improve hydrocarbon loss monitoring and control through automated anomaly detection.

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Nationalized Oil Company

Nationalized Oil Company 2560 1606 APERIO

Implemented APERIO software to analyze information and make decisions based on real-time data, not historical data. Help coordinate responses to events without false positives.

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