In the hydrocarbon and other process industries, engineering and operations teams have a fundamental responsibility to maximize asset profitability.
In the hydrocarbon and other process industries, engineering and operations teams have a fundamental responsibility to maximize asset profitability. However, reporting asset performance clearly and accurately can be challenging, and in the absence of fully quantified key performance drivers, many organizations resign themselves to generating qualitative responses.
In today’s landscape, the proliferation of digital technologies is providing more comprehensive and effective solutions to quantitatively assess asset performance. These software platforms are increasingly incorporating machine-learning and artificial intelligence (AI), enabling agile development of first principal, empirical, hyb
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