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Predictive Analytics

HomeAutomated Well Planning
PUD and PDP Forecast Uncertainty: Why You Need it and How Novi Delivers
  • Kris Darnell
  • April 1, 2021June 20, 2022

PUD and PDP Forecast Uncertainty: Why You Need it and How Novi Delivers

Machine learning models that forecast production for PDP or PUD oil and gas wells may increase accuracy, save engineering time, or replace ...

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Ahead of the Curve: Introducing Novi PDP Oil & Gas Forecasting
  • Ted Cross
  • March 15, 2021June 13, 2022

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 ...

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Machine Learning Regional Profiles for Geologic Insights: Mapping Unconventional Production Drivers in the Williston Basin
  • Ted Cross
  • December 14, 2020June 13, 2022

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 ...

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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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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

  • Machine Learning in Oil and Gas Blog
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Recent Posts

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  • Permian – update through March 2022
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  5. shallow sand on Permian – update through December 2021
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