Buzz-Buzz-Buzz Goes the Bumble Bee: Digital Transformation

  "Buzz-Buzz-Buzz" is a song written by John Gray and Bobby Day and performed by The Hollywood Flames.

Digital Transformation is a buzz phrase. That doesn’t make it bad. Bees buzz, and they make sweet honey. So let’s see how we can make sweet honey out of this buzz phrase.

Let’s say you are in the oil and gas industry. And let’s say you are not a PhD candidate working on a dissertation, requiring a comprehensive literature search to complete your PhD requirements. Let’s say that you just want to be aware of emerging developments that may affect your everyday work.

So you turn to Google®. And that’s a good thing.

The most obvious search phrase to use to keep up on digital transformation in the oil and gas industry is …

digital transformation oil gas

This search will yield useful results. But you will have to slog through many pages of items that don’t fit your needs.

Here is an alternative approach that may help you focus on things that can help you find the information that you need.

TIP: Google® digital transformation [ major oil company of your choosing ]

This focuses the search on activities that major oil companies have pursued to use digital transformation to their advantage.

So, for example, suppose you searched for ExxonMobil’s approach to digital transformation. The Google® search could be …

Digital Transformation Exxonmobil

One result …

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Article
Digital transformation in oil and gas (Deloitte 2020)
Embracing digital to reshape operations

The new frontier: Bringing the digital revolution to midstream oil and gas

Given the current hype around digital technologies, it might be easy to imagine them as a ready fix for managing evolving business challenges. For instance, the industrial Internet of Things, a part of the broad digital opportunity, is projected to add US$15 trillion of value to the global economy by 2030. But when the industry in question is undergoing a fundamental change because of shales, how can US midstream companies not just adopt a digital mindset but also derive actual value from going digital for its legacy and new assets?

The digital transformation in upstream oil and gas

Industries are embracing technology to reshape their operating landscape and reap the benefits of improved productivity, higher efficiency, and increased cost savings. The oil and gas industry is not a stranger to this and is progressing towards digital maturity. What may be the potential roadblocks and how can these be overcome? A strategic roadmap could help oil and gas companies to assess every operation and identify digital leaps for achieving specific business objectives.

This paper describes Deloitte’s Digital Operations Transformation (DOT) model—a framework that explains the digital journey of 10 milestones, where the leap from one milestone to another marks the achievement of specific business objectives, and puts cybersecurity and digital traits at the core
source: https://www2.deloitte.com/global/en/pages/energy-and-resources/articles/digital-transformation-in-oil-and-gas.html
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Here’s another angle you might try …

TIP: Google® oil and gas buzzwords

One result …

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O&G Technology: 4 Buzzwords to Know Before Your Next Meeting
February 15, 2019
Who has been in a meeting and a topic is brought up that you’re just not sure about?  We’ve all been there.  Someone throws out the new buzzword and you just nod your head and hope nobody asks for your input.  Technology is ever evolving and keeping up with all the latest terms can be a challenge.  I’ve compiled a list of the four most common buzzwords in technology and what they mean to the oil and gas industry.  Get ready to win MVP at your next meeting!
1.) Machine Learning and AI
People often use the terms Machine Learning and AI (Artificial Intelligence) interchangeably, but what do these terms truly mean, and what are the differences?  AI is the science of training machines to perform human tasks.  In broad terms, it’s giving computers the ability to solve problems without the help of human interaction.  So how does this relate to Machine Learning?  Machine Learning is an application of AI that trains the machine how to learn.  Its main function is to allow the computer or machine to learn automatically, without human input.  The key to Machine Learning is it operates without relying on specific instructions.  Rather, it has the ability to learn and improve from experience, which once refined can be automatically applied to other data sets.
According to the IDC, spending on cognitive and AI systems will reach $77.6 billion in 2022, more than three times the $24.0 billion forecast for 2018.  So what industries are using Machine Learning the most?  Healthcare, financial services, transportation and retail are big ones and yes, you may have guessed it,  oil and gas!
From upstream to downstream, energy companies have started using these models to become more efficient.   Examples include, analyzing minerals in the ground, predicting refinery failures or streamlining oil distribution.  Most recently, oil and gas companies are using machine learning methods to increase efficiencies with respect to field operations.  Companies who have adopted these platforms have been able to predictively schedule repeatable services and liquid transport, saving time and money.  They’ve also been able to use route optimization techniques to cut down on windshield time.  All together, this has saved these companies millions of dollars, while elevating their production to new heights.

Read the entire article at …
source: https://engagemobilize.com/news/og-technology-4-buzzwords-to-know-before-your-next-meeting/
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Google® Better!
Jean Steinhardt served as Librarian, Aramco Services, Engineering Division, for 13 years. He now heads Jean Steinhardt Consulting LLC, producing the same high quality research that he performed for Aramco.

Follow Jean’s blog at: http://desulf.blogspot.com/  for continuing tips on effective online research
Email Jean at research@jeansteinhardtconsulting.com  with questions on research, training, or anything else
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