• Condition Monitoring Using Statistical & Machine Learning Models in PI AF [TC Energy]

    This presentation will cover various analytical methods used in TC Energy’s Enterprise Analytics program including SQC, PI AF expressions, …xxxx and most recently, liner regression. Best practices and lessons learned will be covered in addition to guidance on which method ...
    Year: 2020

    Chemical Q&A Session - Digital Transformation at Covestro

    Covestro is improving all aspects globally by embracing digital technologies. In Digital Operations the focus is improving production and maintenance by better utilizing data. The enterprise adoption of the PI System has been catalyst for success Covestro now has a ...
    Year: 2020

    Challenges in collecting, managing and manipulating complex data sets in the digital oil field

    The desire to move the industry to implement the digital oil field has never been greater and new technologies are being announced daily. From edge computing devices to artificial intelligence and machine learning, the amount of data and analysis capabilities ...
    Year: 2020

    Beyond big data - Decarbonization

    Decarbonization will lead to a massive change in energy use and production. Today, less than 1 percent of energy is produced by photovoltaics globally, and less than 1/100th of a percent of energy using devices can report consumption and respond ...
    Year: 2020

    Best Practices in Conditioning Data for Digital Transformation

    The transformation of process and manufacturing data into digital assets requires us to rethink how we collect, manage and use streaming data and events from the OSIsoft PI System and other data sources to drive continuous improvement and innovation. Known ...
    Year: 2020