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Machine Learning in Oil and Gas Blog

HomeArtificial Intelligence in Oil and Gas
Investing in Shale Oil and Gas Wells: Are you the House or the Player?
  • Garth Stotts
  • November 17, 2020June 13, 2022

Investing in Shale Oil and Gas Wells: Are you the House or the Player?

We want to invest in shale oil and gas wells that operate like a casino. Why? Casinos make lots of money based ...

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Analyzing Vista’s Record-Setting Vaca Muerta Wells with Oil and Gas Machine Learning Models
  • Ted Cross
  • August 26, 2020June 13, 2022

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. ...

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Making sense of it all: extracting actionable core-data from pXRF using PCA and K-means cluster analysis
  • Esben Pedersen
  • August 7, 2020June 13, 2022

Making sense of it all: extracting actionable core-data from pXRF using PCA and K-means cluster analysis

Editor's note: we are excited to present this work, the winner of Novi's inaugural Student Blog Contest. Many thanks to Esben and ...

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Novi geoSHAP – estimating rock quality using SHAP values in machine learning models: URTeC 2020 Novi Paper Summary
  • Ted Cross
  • July 14, 2020June 13, 2022

Novi geoSHAP – estimating rock quality using SHAP values in machine learning models: URTeC 2020 Novi Paper Summary

"What do you mean the model doesn't use **INSERT PET GEOLOGIC VARIABLE HERE**?!" Anyone who's built and reviewed enough machine learning models ...

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Water, water everywhere: oil well water analysis with machine learning models to improve produced water forecasts in the Williston Basin: URTeC 2020 Novi Paper Summary
  • Ted Cross
  • July 6, 2020June 13, 2022

Water, water everywhere: oil well water analysis with machine learning models to improve produced water forecasts in the Williston Basin: URTeC 2020 Novi Paper Summary

How often does an engineer dash off a simple oil well water analysis, doing something like applying a flat WOR to their ...

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The Changing Impact of Oil Well Design Completions Through Time: URTeC 2020 Novi Paper Summary
  • Ted Cross
  • June 26, 2020June 13, 2022

The Changing Impact of Oil Well Design Completions Through Time: URTeC 2020 Novi Paper Summary

"Upsizing well completions increase production 37.5%*!!!" Sure, but when? Where that asterisk lands will have a huge impact on the returns of ...

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Building Unbiased Benchmarks with Machine Learning Oil and Gas Modeling: URTeC 2020 Novi Paper Summary
  • Ted Cross
  • June 15, 2020June 13, 2022

Building Unbiased Benchmarks with Machine Learning Oil and Gas Modeling: URTeC 2020 Novi Paper Summary

90% of American drivers say they're better than average, and 90% of Shale focused Operators have "peer-leading" breakevens, returns and well production ...

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how does a 3 billion barrel discovery turn into a $3 billion impairment in oil and gas plays?
  • Garth Stotts
  • May 15, 2020June 13, 2022

how does a 3 billion barrel discovery turn into a $3 billion impairment in oil and gas plays?

Involvement in exploring a substantial discovery and bringing it to development is an exciting opportunity. There is nothing more valuable to a ...

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the power of analogy : using novi’s contributing oil well data to understand machine learning predictions
  • Ted Cross
  • April 30, 2020June 13, 2022

the power of analogy : using novi’s contributing oil well data to understand machine learning predictions

Whether exploring for oil offshore Brazil or scaling type curves in Lea County, engineers and geologists rely upon the power of ...

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trust me, I’m an objective engineer: uncovering the inherent bias in oil and gas forecasts
  • Garth Stotts
  • April 29, 2020June 13, 2022

trust me, I’m an objective engineer: uncovering the inherent bias in oil and gas forecasts

Capital allocation decisions made by Engineers that work at E&P companies are completely rational and unimpacted by their own experiences or personal ...

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

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