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CC-99-139 A MODERN ARCHITECTURE FOR UNIT MONITORING AND PERFORMANCE IMPROVEMENT

Andrea Hawkins, Conoco, Inc.; Steve Budny, Matt Oettli, John Pongo, Hyprotech, Inc.

Format:
Electronic (digital download/no shipping)

Associate Member, International Member, Petrochemical Member, Refining Member - $0.00
Government, NonMember - $35.00

Description:

In today’s challenging oil markets, refiners, more than ever, are faced with the challenge of improving the performance of their units. They have relied on the ability to access and reconcile plant data and then use economic and scientific data, process simulation technology, and other applications to monitor equipment performance and determine the best operating conditions. Quality of data and the ability to integrate data across multiple applications are critical to competing in today’s environment. The ability to easily incorporate all the relevant data and employ the required software technology in unison has been a hurdle to maximizing the benefit of all the available tools. Conoco is overcoming this hurdle by working with AEA Technology to develop a complete architecture for performance monitoring and optimization. Conoco is taking advantage of Automation (formerly OLE Automation) technology to collect and analyze plant data through the Process Data Historian. Visual Basic routines are then used to determine economic calculations, unit trends, custom mathematical calculations, and abnormal operating conditions. The HYSYS process simulation environment is used to provide capabilities such as characterizing the oils, updating LP vectors, and calculating process variables and stream properties based on first principles modeling. The advantage of this modern architecture is that a seamless two-way communication can be established between the different parts all working through an EXCEL interface. The capability to determine equipment performance immediately is expected to ensure peak plant efficiency, allow for easier troubleshooting, and help educate engineers, planners and operators on best practices.

Product Details:

Product ID: CC-99-139
Publication Year: 1999