Event Overview
Computational Pipeline Model (CPM) systems are used to improve operational awareness of a complex pipeline system. The system is typically made up of a Real Time Transient Model (RTTM) and a Predictive Transient Model (PM) that represents the physical layout of pipeline systems. The RTTM is a CPM system that unites real time measurement data from a SCADA system, a digital twin of physical pipeline system, and the physical hydraulic understanding of flow through a pipeline system. An RTTM provides detailed and accurate linepack information, virtual instrumentation at any point along the pipeline, gas anomaly and gas characteristics tracking, and even loss or gain detection to give the control room personnel additional operational information. In addition to the RTTM, a detailed Predictive Model contains compressor details, control system details, and other relevant operational controls. Utilizing the current hydraulic state of the pipeline that is available from the RTTM, forecast demands, and operational understanding, a PM provides better confidence that the current operating state is satisfactory for the future needs of the pipeline as well as a basis for looking at operational changes that improve operational efficiency. This presentation covers details around what makes up a RTTM and PM system and cites some key operational examples of how the systems benefit their users.
Attendees will receive 2 Professional Development Hours upon completion.
Meet the Instructor
David Stobb
Senior Principal Pipeline Engineer, DNV
David is a Principal Engineer with over 20 years of experience applying hydraulic modeling software to pipeline operations and management. His expertise spans real-time leak detection, pipeline state estimation, operational predictive modeling, future planning studies, and pipeline operation training systems.
He is involved in every phase of project delivery, including proposal development, effort estimation, scope definition, functional design, software deployment, acceptance testing, documentation, and training. In addition, he contributes to the design and testing of software enhancements and collaborates closely with software developers, engineers, managers, and business development teams.
Specialties: Real-time hydraulic model-based leak detection systems for liquid transmission pipelines; hydraulic model-based training systems for pipeline operations.
