Author Archive for Tim Shea

IoT in Oil and Gas Coming to Houston on September 13th and 14th, Part 2

This is a part 2 of a blog posted ten days in which we indicated that ARC will be attending the 3rd annual IoT in Oil and Gas event being held on September 13th and 14th in Houston. Not only will there likely be lots of great presentations imparting all kinds of interesting and useful […]

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Iot in Oil and Gas Coming to Houston on September 13th and 14th

For anyone following the industrial-iot.com website they will know that we have been beating a loud and somewhat consistent drum about the real business value that we believe IIoT-enabled solutions can provide companies operating in the oil & gas industry – upstream, midstream and downstream. We also make every effort to make operators and end […]

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Who needs $100 oil? Majors seen making more cash at $50 Is IIoT to Blame (?)

This author has believed that the only thing owner-operators, independent E&P firm, and others in the oil patch today can really control is their costs to find, extract, produce and refine a barrel of oil. ARC has written more than once that the overall impact of lower oil prices on the global economy is a […]

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IIoT and Analytics Helping Independent E+P Firms to Optimize Oilfield Operations

ARC has been blogging for a few years now about how IIoT-enabled solutions can help owner-operators, independent E&P players and other oil & gas stakeholders can put them on the path towards digital transformation and operational excellence. Most of these opined blogs have focused on how rotating equipment such as pumps, compressors and turbines can […]

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Importance of Culture For (and On) IIoT Adoption

Having had the opportunity to attend the Operational Excellence in Energy, Chemicals & Resources conference held in Calgary, Canada and participate in the Digital Transformation track (sponsored by TCS) during the conference, I found there was as much discussion surrounding the topic of culture as there was on the topic of digital transformation, analytics/machine learning, […]

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