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189 – Contributed Poster Presentations: Section on Physical and Engineering Sciences
Management of Oil/Gas Pipelines Using Statistical Process Control
William V. Harper
Otterbein University
David J. Stucki
Otterbein University
Tony Alfano
DNV GL
Thomas Yahner
DNV GL
Jim Ponder
Loop LLC (Louisiana Offshore)
Jeffrey Kobs
Rose Rock Midstream
One of the most critical aspects of oil/gas pipeline operation is the ability to assess portions of the lines that are higher risk. Doing this on a continual and timely basis is paramount. The challenges are many. Recent media discussion has focused on evolving data analytics; however, the application of long established statistical process control techniques provides a solid defensible visual identification of areas of potential concern.