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predictive analytics Archives - Mark Reynolds

Tag: predictive analytics

 

This Digital Transformation Web Site and Blog

[updated May 17, 2018] DigitalTransformation.Engineer This www.DigitalTransformation.Engineer website and blog site is a personal creation; a personal labor-of-love project. Through this site and these blogs, I hope to shed a little light on the evolving industry – software, analytics, machine learning, and the digital oilfield. The software, analytics, and digital oilfield landscape has changed in the past few years and I’ve been blessed to be a part of it. Background In 2010-2011, we were undertaking the 24-7 operations center. AtRead More …

Artificial Intelligence vs Algorithms

I first considered aspects of artificial intelligence (AI) in the 1980s while working for General Dynamics as an Avionics Systems Engineer on the F-16. Over the following 3 decades, I continued to follow the concept until I made a realization – AI is just an algorithm. Certainly the goals of AI will one day be reached, but the manifestation metric of AI is not well defined. Mark Reynolds is currently at Southwestern Energy where he works in the Fayetteville Shale DrillingRead More …

Predictive Analytics

Predictive analytics is used in actuarial science, financial services, insurance, telecommunications, retail, travel, healthcare, pharmaceuticals and other fields (Wikipedia). But operations – manufacturing, processing, etc., have been a little slower to encompass the concept. A drilling engineer friend of mine says “just put my hand on the brake lever and I’ll drill that well”. He probably can, but few of the rest of us can, or want to. We want to see operating parameters, performance metrics, and process trends. AllRead More …

Real-Time Data in an Operations/Process Environment

The operations/process environment differs from the administrative and financial environments in that operations is charged with getting the job done. As such, the requirements placed on computers, information systems, instrumentation, controls, and data is different too. Data is never ‘in balance’, data always carries uncertainty, and the process cannot stop. Operations personally have learned to perform their job while waiting for systems to come online, waiting for systems to upgrade, or even waiting for systems to be invented. Once online, systemsRead More …