Part IV: Machine Learning & AI
Chapter 19
Deep Learning for Oil & Gas
schedule15 min readfitness_center4 exercises
infoWhat You'll Learn
- Build neural networks with TensorFlow/Keras
- Apply LSTMs and sequence models to production forecasting
- Use CNNs for seismic image interpretation
- Implement autoencoders for anomaly detection
lightbulbDatasets Used in This Chapter
production_time_series.csv
Neural Network Fundamentals
main.py
Building Models with TensorFlow and Keras
main.py
Sequence Models for Production Forecasting (LSTM)
main.py
Convolutional Networks for Image Data
main.py
Autoencoders for Anomaly Detection
main.py
Transfer Learning for Small Petroleum Datasets
main.py
Exercises
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Exercise 19.1Practice
Exercise 19.1
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Exercise 19.2Practice
Exercise 19.2
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Exercise 19.3Practice
Exercise 19.3
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Exercise 19.4Practice
Exercise 19.4
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