Python Programming for Machine Learning and Deep Learning in Geoscience
Day 1: Python basics
Jupyter Notebook / Google Colab
Markdown | Latex
Variables
Data Types
Functions
Main Libraries (Numpy, Matplotlib)
Day 2: Python in Geology, Geophysics, and Petroleum Engineer
Well logs
Wavelet (Time domain)
Liberia SciPy
Wavelet (Frequency domain)
Seismic
Post - Stack attributes
Extra:
lasIO
welly
petroPy
Day 3: Exploratory Data Analysis
Pandas
Seaborn
Day 4: Machine Learning in Geology and Geophysics
Scikit - Learn
KNN
K- Means
Decision Trees
Dimension Reduction (PCA)
Day 5: Deep Learning in Geology and Geophysics
Neural Networks (steps by steps)
Keras - TensorFlow:
Neural Network for facies prediction
LSTM for Time Series Prediction (Forecast oil well production)
Convolutional Neural Networks
Fault Prediction
Seismic Interpretation