Oil and Gas Resources Library

Machine learning and AI advances are transforming the energy industry. Browse our resources on the latest advances in oil & gas focused machine learning and data Science

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  • Presentations
  • Product Videos
  • Technical Papers
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  • All
  • Presentations
  • Product Videos
  • Technical Papers
Technical Papers

[URTeC 2022] The Diminishing Returns of Lateral Length Across Different Basins (ID 3723784)

The Diminishing Returns of Lateral Length Across Different Basins Talk Details:: Tuesday, June 21st at 2:15 PM | Room 371 Theme 7: Applications in Reserves …

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Technical Papers

[URTeC 2022] Accelerating field optimization for Shell in the Neuquén Basin using Novi Labs machine learning

Accelerating field optimization for Shell in the Neuquén Basin using Novi Labs machine learning   AUTHORS:: DP. Zannitto2, C. Kosa1 (1. Novi Labs 2. Shell …

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Technical Papers

[URTeC 2022] Understanding the Spacing, Completions, and Geological Influences on Decline Rates and B Values (ID 3723711)

Understanding the Spacing, Completions, and Geological Influences on Decline Rates and B Values Talk Details:: Wednesday, July 28th at 11:15 AM | Room 371 Theme …

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Technical Papers

[URTeC 2022] Using Machine Learning to Customize Development Unit Spacing for Maximum Acreage Value (ID 3723023)

Using Machine Learning to Customize Development Unit Spacing for Maximum Acreage Value   Talk Details:: Wednesday, July 22nd at 8:55 AM | Room 360 Theme …

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Technical Papers

[URTeC 2022] How does the impact of completions change over the life of a well? A
comparison across the major US unconventional plays using machine learning (ID 3723930)

How does the impact of completions change over the life of a well? A comparison across the major US unconventional plays using machine learning   …

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Technical Papers

[URTeC 2022] How Much Better Could We Have Done? Using a Time Machine Method to Quantify the Impact of Incremental Geologic data on Machine Learning Forecast Accuracy (ID 3723907)

How Much Better Could We Have Done? Using a Time Machine Method to Quantify the Impact of Incremental Geologic data on Machine Learning Forecast Accuracy …

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