Data Analytics & Data Management (DA&DM) Solutions to Manage Pipeline Integrity and Comply with New PHMSA Regulations
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The potential of Data Analytics (DA) has become apparent because of the ‘Big Data’ phenomenon. Business analytics is becoming commonplace where companies use historical business performance data and predictive modeling to gain new insight to drive their business planning. DA for the more technical applications (e.g., engineering, operations, and maintenance) in oil & gas sectors are less mature and are, often by necessity, more customized. However, forward-leaning companies are recognizing that applying incisive analytics has the potential to deliver significant performance improvements. Data Management (DM) is a key enabler of not only DA, but also of critical decisions made every day in a wide array of work processes. This paper addresses the regulatory and industrial context of DA&DM, the evolution of DA&DM solutions, the solutions frameworks for DA&DM, with focus on midstream. It also presents suggestions on how midstream companies can get started in achieving efficiency and effectiveness in DA&DM.
Paula, Henrique; Arendt, Steve; Mowrer, Matt (2016). Data Analytics & Data Management (DA&DM) Solutions to Manage Pipeline Integrity and Comply with New PHMSA Regulations. Mary Kay O'Connor Process Safety Center; Texas &M University. Libraries. Available electronically from