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Knowledge Archives - Mark Reynolds

Tag: Knowledge

 

The Discipline of IIoT Engineering

[updated June 17, 2018] Industrial Internet of Things (IIoT) Engineering is a discipline in and of itself – somewhat a macro-discipline. The IIoT engineer is focused on the extension of the organization into a field-level mentality of acquisition, preparation, analysis, reaction, automation, assessment, etc. IIoT vs ML vs AI vs Big Data vs Edge Computing The Industrial Internet of Things (IIoT) is not synonym for Machine Learning (ML). Neither is it a synonym for Big Data. Neither is it aRead More …

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 …

Thoughts on Data Mining

Data mining (sometimes called data or knowledge discovery) is the process of analyzing data from different perspectives and summarizing it into useful information (see prior blogs including The Data Information Hierarchy series). The term is overused and conjures impressions that do not reflect the true state of the industry. Knowledge Discovery from Databases (KDD) is more descriptive and not as misused – but the base meaning is the same. Nevertheless, this definition of data mining is a very general definitionRead 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 …

What is Content?

Several internet articles and blogs address the meaning of content from an internet perspective. From this perspective, content is the (meaningful) stuff on a page, the presentation of information to the seeker. But content within an operations-centric perspective is entirely different. And the databases and operational tools must be content data reflecting the desired information being sought in the pursuit of knowledge. Thus, paraphrasing Scottie Claiborne (http://www.successful-sites.com/articles/content-claiborne-content1.php), “content is the stuff in your operations system;  good content is useful information”.Read More …

The Data-Information Hierarcy, Part 3

The Data-Information Hierarchy is frequently represented as Data –> Information –> Knowledge –> Understanding –> Wisdom. Or it is sometimes shortened to 4 steps, omitting Understanding. But, in fact, there are two predecessor steps: chaos and symbol. These concepts have been discussed in prior blogs (http://profreynolds.wordpress.com/2011/01/31/the-data-information-hierarcy/ http://profreynolds.wordpress.com/2011/02/11/the-data-information-hierarcy-part-2/). Chaos is that state of lack of understanding best compared to the baby first perceiving the world around him. There is no comprehension of quantities or values, but a perception of large and small. Symbol (orRead More …

The Big Crew Change

“The Big Crew Change” is an approaching event within the oil and gas industry when the mantle of leadership will move from the “calculators and memos” generation to the “connected and Skype” generation. In a blog 4 years ago, Rembrandt observes: “The retirement of the workforce in the industry is normally referred to as “the big crew change”. People in this sector normally retire at the age of 55. Since the average age of an employee working at a majorRead 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 …

Knowledge as an Asset

This is the information age. So we are deluged with information (and sometimes just data). Organizations are only now beginning to grasp the fundamental concept of Knowledge as an Asset. What constitutes the knowledge asset? “Unlike information, knowledge is less tangible and depends on human cognition and awareness. There are several types of knowledge – ‘knowing’ a fact is little different from ‘information’, but ‘knowing’ a skill, or ‘knowing’ that something might affect market conditions is something, that despite attemptsRead More …