Predic1ng Gas EUR in Shale Plays Using Machine Learning Methods: A Compara1ve Study of Marcellus, BarneH, and Haynesville Shales

Engineering

• Accurate Prediction 28%
• Breakdown Pressure 14%
• Estimated Ultimate Recovery 100%
• Gas Production 28%
• Gas Reservoir 28%
• Global Energy Demand 14%
• Haynesville Shale 100%
• Initial Gas 28%
• Key Parameter 14%
• Learning System 28%
• Limitations 14%
• Machine Learning Method 100%
• Machine Learning Technique 14%
• Metrics 14%
• Production Data 28%
• Proppants 28%
• Random Forest 14%
• Shale Gas 28%
• Systematic Approach 14%

Earth and Planetary Sciences

• Decision Making 33%
• Energy Demand 33%
• Gas Production 66%
• Gas Reservoir 66%
• Machine Learning 100%
• Machine Learning Model 33%
• Production Data 66%
• Shale Gas 66%