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Machine Learning in the Oil and Gas Industry

Learn from seasoned, experienced industry veterans as they go into technical topics related to machine learning, artificial intelligence, risk, and digital oilfield.

Read through our posts covering real world applications of machine learning in oil & gas using AI-driven software and data tools. Learn from seasoned, experienced industry veterans as they go into technical topics related to machine learning, artificial intelligence, risk, and digital oilfield.

We welcome guest writers working in the oil and gas industry. They work with oil and gas machine learning models using AI software to solve complex problems and optimize capital. If you would like to contribute a post or have an idea for us, send us a note.

Digital Oilfield Technology

Five ways smart digital oilfield technology & applications might save the Shale industry

March 18, 2020 No Comments

DIGITAL OILFIELD TECHNOLOGY OVERVIEW : Let’s face it, the last two to three weeks have been a complete train smash for shale operators and investors. We are price takers at the end of the day, so we as an industry are all trying to do what we always do – pick ourselves up by the bootstraps and find a way forward. I have some ideas utilizing digital oilfield applications that we can use as a foundation to stand on.

In this post, I’m going to discuss where things are at, Level set on what response vectors the shale industry has taken thus far and much more. Read the full report here.

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Machine Learning in Oil and Gas Blog

less than 10% of remaining Bakken inventory is in the play core

March 16, 2020 No Comments

With the current oil price downturn, many have started to wonder whether activity in the Bakken will ever return to its previous heights. Using our …

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Machine Learning in Oil and Gas Blog

oil and gas well spacing and completions: untangling complex interactions with machine learning

February 20, 2020 No Comments

How much of the oil & gas industry’s recent underperformance comes from misapplication of large completions designs with tight spacing configurations?

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[Free Guide] The 11 Most Common Mistakes Oil & gas Operators Make While Building Machine Learning Capabilities

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Recent Posts

  • Permian – update through March 2022
  • Eagle Ford – update through February 2022
  • Pennsylvania – update through March 2022
  • North Dakota – update through February 2022
  • Is it worth It? Quantifying the value of collecting and interpreting subsurface data. [URTeC 2022 Novi Paper Summary]

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Recent Comments

  1. Dennis Coyne on North Dakota – update through February 2022
  2. Enno on North Dakota – update through February 2022
  3. Dennis Coyne on North Dakota – update through February 2022
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  5. shallow sand on Permian – update through December 2021
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