Oil Well Log Analysis
Well log data processing requires expert knowledge as geological data contains many
making logging interpretation a very time-consuming process.
- Application of ML models to automate the well log data processing
- The data set was taken from a real oil field in Russia to develop ML models.
- Gradient tree boosting and Convolutional neural network algorithms were used to
uncertainties in data interpretation.
- Prediction by interval of depths using CNN turned out to be more
successful than the prediction
by sample using gradient tree boosting algorithm.