Bridging the IIoT gap: How Information Technology (IT) and Operational Technology (OT) can Work Together


As companies across the energy value chain look for ways to become more efficient and agile, the Industrial “Internet of Things” (IIoT) offers attractive opportunities. Harnessing sensor data, machine-to-machine (M2M) communication and Big Data analytics enables oil and gas companies to take automation and efficiency to new heights, while creating the foundation for new business models. [Read more…]

Downhole Water Detection and Measurement – Not a One-Size-Fits-All Process


Water is a significant by-product of the production of oil and gas – in some cases, accounting for up to 95% of produced fluids. The resulting reduction in revenues, coupled with the costs of water treatment and safe disposal, can render a well uneconomic – and even stop production altogether. But conventional techniques for monitoring the production profile of a well to enable troubleshooting are less effective in the increasing number of horizontal wells. Gaining insights into water production and location of inflows requires a number of trade-offs to be considered spanning accuracy, technology selection, measurement location and of course, cost. So what options are currently available to operators of oil and gas wells and what challenges remain?
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Improve Business Operations in a Volatile Oil and Gas Market


With the oil price per barrel at its lowest level since Dec. 2003 according to the Wall Street Journal, oil and gas operators are required to look at every facet of their operations to maintain a healthy bottom line. And in a time when saving money is key, companies should be adopting strategies to maintain and coax ultimate efficiency from existing equipment as new projects are put on hold. Adopting solid retrofit and field-based maintenance and repair strategies can make a significant difference.
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The Story Behind the Data – How Visualization and Context help Optimize Plant Operations


Making sense of vast volumes of production data is the essence of asset optimization. The potential of Big Data to help reduce costs and improve plant productivity has become an important strategic issue for process manufacturers. If these companies cannot see what they do not know, then they will not be able to make the right decisions to optimize production and be competitive. The inside story of operational intelligence lies in rich visualization and analytics capabilities that improve production execution by enabling process manufacturers to quickly identify and resolve operational issues.
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