Business analytics, machine learning and Internet of Things (IoT) technologies will transform virtually every aspect of the economy in the coming decades. One of the biggest stumbling blocks, however, remains capturing, organizing and delivering the vast amounts of data from sensors, industrial equipment, power supplies and other operational technologies (OT) in a timely fashion to achieve genuine, actionable insights through information technology (IT). Too often, this data — the raw material of business analytics — remains landlocked in disparate systems as getting it out requires inordinate amounts of time and money.
Year: 2016
The Industrial Internet of Things (IIoT) is poised to seep into nearly every part of asset-intensive industries — including power generation. Even with the significant opportunities of IIoT, integrating distributed, intelligent devices into plants brings unique challenges. How do IIoT devices complement the telemetry available from existing automation and control systems? How can my organization prepare to embrace this new wave of technology? These are just a few of the questions facing asset-intensive industries with the arrival of IIoT. To better understand these challenges and opportunities, this paper explores how IIoT devices can complement the existing industrial control systems of power generation facilities.
Year: 2018
A refiner applied advanced analytics to develop techniques for processing opportunity crudes which minimize negative effects on the plant ...
Year: 2017
How IT and operations can harness the potential of machine data and analytics for improved operational efficiency and business performance.
Year: 2018
In June 2014, oil was averaging US$120/bbl. Over the last two years, until very recently, it has not been above US$60/bbl. There is what you can control, and there is what you cannot. Wisdom, as the saying goes, is knowing the difference, and in the world of midstream oil and gas, wisdom is making and breaking companies. 'Wise' midstream oil companies have recognized that, in the digital era, operational data has become a critical asset. When collected and made available in context, this data can reduce their 'controllable margins', guarantee their social license to operate, and ensure their survival amid a wave of mergers and acquisitions.
Year: 2018