Generation of Synthetic Photoelectric Log using Machine Learning Approach

Engineering

• Learning Approach 100%
• Metrics 100%
• Data Point 66%
• Artificial Neural Network 66%
• Root-Mean-Squared Error 33%
• Carbonate Content 33%
• Artificial Neural Network Model 33%
• Demonstrates 33%

Earth and Planetary Sciences

• Machine Learning 100%
• Artificial Neural Network 100%
• Hydrocarbon Reservoir 33%
• Reservoir Characterization 33%
• Development Model 33%
• Formation Evaluation 33%

Keyphrases

• Mineralogical Content 50%
• Comprehensive Error 33%
• Content Factors 16%
• Synthetic Log 16%