OSI PI

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OIL & GAS

Upstream

Tullow's Jubilee Field is located in offshore West Africa in the Gulf of Guinea at a water depth of 1250 m. The high cost of field maintenance and inaccessible deep water environment mean that data acquisition and analyses are key to proactive field management without reactive intervention in the wells. To ensure maximum data utilization in the wells, sub-sea and topsides network, Tullow developed, the Technology Assisted Production System (TAPS), a production data management and analyses system with the PI System as a central component.

In TAPs, the PI System feeds high frequency raw data from the field to various other application modules to perform production functions, such as integrated asset modelling, hydrocarbon accounting and allocation, deferment management and analyses, production optimization and production reporting. 'Processed' data from these application modules is then fed back into the PI System for visualization and trending.

TAPS provides a platform to automate routine and repetitive engineering tasks, so there is more quality engineering time for actual analyses and for integration between the various functions and disciplines. The system has paid rich dividends to resolve critical issues, including severe and unprecedented productivity impairment in the wells and hydrate blockage in one of the risers. Tullow is now developing another deep water field in the same region, known as TEN, and TAPS will be deployed there to utilize the PI System and its visualization suite for asset performance and integrity management.

 

Downstream

Oman's national refining and petrochemicals company, Orpic formed in 2011 as the integration of four Omani companies. Following this consolidation, Orpic needed to integrate data systems that were siloed in four previously separate operations. Seeking an integrated solution, Orpic chose the PI System as a single source for operational data from all four plants. In this talk, Orpic will discuss how they implemented the PI System as the central owner of operational and quality data and how they migrated historical data from four enterprises into the PI System. They will also cover benefits that resulted from a unified view of all plants, universal access to plant data, and Lab and ERP data integration. These benefits include: availability of product quality data along with operation parameters, reduced maintenance through predictive and condition-based maintenance, and faster retrieval of historic data.

MOLs Downstream division received 2 awards for their clear business strategy, the achievement of business goals, commitment to employee development, use of IIOT and advanced analytics, and an innovative approach to tackling business challenges: - Best downstream company of the year form Petroleum Economist - 2016 - IIOT Plant of the year for the Danube refinery from FieldComm Group - 2015 Craig will summarize the MOL journey with the PI System in support of their strategic business initiatives of New Downstream Program and the Next Downstream Program together generating over $1B in EBITDA improvement over the last 5 years as presented as a keynote at the UC2016 in Berlin. After reviewing how MOL leveraged the PI System to standardize and simplify their portfolio of applications and solutions with PI AF, he will focus on how the PI System being used to underpin their Advanced Process Safely Management (APSM), energy management, yield improvement from processing opportunity crudes, and asset reliability/utilization initiatives, Craig will conclude with a summary of how MOL is using the PI AF as an OT data model with smart asset templates to take full advantage of the IIOT in their distributed advanced analytics for such areas as predictive high temperature hydrogen attack (HTHA) and Azure machine learning in their desulfurizing and delayed coking units.
MOLs Downstream division received 2 awards for their clear business strategy, the achievement of business goals, commitment to employee development, use of IIOT and advanced analytics, and an innovative approach to tackling business challenges: - Best downstream company of the year form Petroleum Economist - 2016 - IIOT Plant of the year for the Danube refinery from FieldComm Group - 2015 Craig will summarize the MOL journey with the PI System in support of their strategic business initiatives of New Downstream Program and the Next Downstream Program together generating over $1B in EBITDA improvement over the last 5 years as presented as a keynote at the UC2016 in Berlin. After reviewing how MOL leveraged the PI System to standardize and simplify their portfolio of applications and solutions with PI AF, he will focus on how the PI System being used to underpin their Advanced Process Safely Management (APSM), energy management, yield improvement from processing opportunity crudes, and asset reliability/utilization initiatives, Craig will conclude with a summary of how MOL is using the PI AF as an OT data model with smart asset templates to take full advantage of the IIOT in their distributed advanced analytics for such areas as predictive high temperature hydrogen attack (HTHA) and Azure machine learning in their desulfurizing and delayed coking units.

 

Power & Utilities

Power & Utilities

The P&U industry is being pulled in many different directions. You're asked to expand service while reducing costs. Expand the role of renewables but achieve 100% reliability. Comply with increasingly strict industry and still compete successfully in the marketplace.

The solution? For the majority of ISOs and RTOs in the U.S - plus 17 of the top 20 wind generation companies worldwide - it's the integration of enterprise-wide sensor-based real-time data, made possible by the PI System