Part IV: Machine Learning & AI
Chapter 18
Unsupervised Learning — Pattern Discovery
schedule15 min readfitness_center4 exercises
infoWhat You'll Learn
- Apply clustering to identify reservoir rock types
- Use dimensionality reduction (PCA, t-SNE) for well log interpretation
- Detect anomalies in production and drilling data
- Segment wells by performance characteristics
lightbulbDatasets Used in This Chapter
well_log_multiwell.csv
K-Means and Hierarchical Clustering
main.py
DBSCAN for Anomaly Detection
main.py
PCA for Well Log Compression
main.py
Well Segmentation and Field Analog Identification
main.py
Anomaly Detection in Production Data
main.py
Exercises
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Exercise 18.1Practice
Exercise 18.1
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Exercise 18.2Practice
Exercise 18.2
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Exercise 18.3Practice
Exercise 18.3
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Exercise 18.4Practice
Exercise 18.4
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