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William V. Harper

Otterbein University



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David J. Stucki

Otterbein University



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Tony Alfano

DNV GL



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Thomas Yahner

DNV GL



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Jim Ponder

Loop LLC (Louisiana Offshore)



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Jeffrey Kobs

Rose Rock Midstream



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189 – Contributed Poster Presentations: Section on Physical and Engineering Sciences

Management of Oil/Gas Pipelines Using Statistical Process Control

Sponsor: Section on Physical and Engineering Sciences
Keywords: Statistical Process Control, SPC, Oil, Gas, Pipeline

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.

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