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One of the biggest problems oil and gas companies experience when it comes to their SCADA and analytics investments is the perceived mismatch that is occurring between the amount of data collected and the measured improvement in productivity and efficiency.
We encounter a wide spectrum of perceptions from companies about how they see oil and gas analytics, especially machine learning and AI and share some of our biggest lessons and learnings about building a better analytics engine.
Who you choose to use will impact your oil and gas SCADA performance
Understanding how to make your SCADA data useful and usable is key to getting the most out of your SCADA solution.
The quantity and variety of SCADA systems in oil and gas make it difficult for companies to make sense of the differences and features that are most important for doing SCADA well.
Learn how eLynx can help you get more out of your SCADA system and how to overcome common barriers to doing so.
A robust SCADA system makes analytics possible no matter where you are in your analytics transformation.
Many companies with analytics ambitions are just now realizing how important data quality and data management is to their entire operation.
Route optimization doesn't have to be as complex as people make it out to be. Most companies have the data they need to do effective route optimization today.
eLynx Anomaly Detection is the new standard in smart alarming strategies and results in the highest signal-to-noise ratio possible for users.
The success of any analytics solution in the oil and gas industry often depends on how closely Information Technology and Operational Technology can integrate efforts.
eLynx oil and gas analytics solution identifies production and equipment problems before they become apparent.
We’ve built a turnkey analytics solution that any company at any stage—from wanting to capture better field data to building real-time predictive models—can implement.