Tuesday, June 21st at 11:40 AM | Exhibition Hall – Station A
Theme 3: Emerging Geological Evaluations, Tools, and Workflows for Prospectivity Assessment
Presentation: When the Music Stops: Quantifying Inventory Exhaustion in the Midland Basin with Machine Learning – T. Cross*, J. Reed, K. Long |
Tuesday, June 21st at 2:15 PM | Exhibition Hall – Station B
Theme 3: What’s in Your Rock: Geological Integration that Impacted Go-Forward Business Decision
Presentation: 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 – J. Reed, C. Macalla* |
Tuesday, June 21st at 2:15 PM | Room 371
Theme 7: Applications in Reserves Estimation and Production Forecasting
Presentation: The Diminishing Returns of Lateral Length Across Different Basins – A. Cui, T. Cross (Novi Labs) |
Tuesday, June 21st at 2:40 PM | Room 361
Theme 5: Geomechanics in Field Development (Well Placement, Drawdown, and Optimization)
Presentation: How Does the Impact of Completions Change Over the Life of a Well? A Comparison Across the Major US Unconventional Plays Using Machine Learning – T. Cross*, K. Long, D. Niederhut, A. Cui |
Wednesday, June 22nd at 8:55 AM | Room 360– Coauthored with Diamondback
Theme 1: Understanding Parent-Child Relationships to Define Well Spacing for Field Development
Presentation: Using Machine Learning to Customize Development Unit Spacing for Maximum Acreage Value
M. Maguire*, A. Cui, T. E. Witham, T. Cross |
Wednesday, June 22nd at 11:15 AM | Room 371
Theme 9: EUR and Performance Prediction: Decline Curve Analysis and Beyond II
Presentation: Understanding the Spacing, Completions, and Geological Influences on Decline Rates and B Values – D. Niederhut*, A. Cui, C. Macalla, J. Reed |
[Alternate] Accelerating field optimization for Shell in the Neuquén Basin using Novi Labs machine learning models and data analytics – Coauthored with Shell
P. Zannitto2, C. Kosa1 (1. Novi Labs 2. Shell Compania Argentina) |