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.
PUD and PDP Forecast Uncertainty: Why You Need it and How Novi Delivers
Machine learning models that forecast production for Proved Developed Producing (PDP) or Proved Undeveloped (PUD) oil and gas reserves may increase accuracy, save engineering time,
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Ahead of the Curve: Introducing Novi PDP Oil & Gas Forecasting
It all started as an accident. We passed early time production to a “pre-drill” Novi model. When we saw the results, we were stunned —
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What can chess teach us about artificial intelligence in oil and gas?
If, like me, you haven’t seriously played chess since you were young, you may find the advancements in chess artificial intelligence (or chess “engines”) incredible.
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Machine Learning Regional Profiles for Geologic Insights: Mapping Unconventional Production Drivers in the Williston Basin
What drives unconventional oil production? Of course completions, parent-child, and well spacing all play a huge role -- but it all starts with the rocks.
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Investing in Shale Oil and Gas Wells: Are you the House or the Player?
Are you the House or the Player?
Industry execGarth Stotts continues his series on bias, probability, and risk in the Shale patch
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Industry execGarth Stotts continues his series on bias, probability, and risk in the Shale patch
Analyzing Vista’s Record-Setting Vaca Muerta Wells with Oil and Gas Machine Learning Models
After the Great Coronavirus Shut-In, Vista Oil & Gas turned back on their new Vaca Muerta pad. A pleasant surprise greeted them. Their oil and
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