wbtdiag — water production surveillance

A Jupyter Notebook for analysing oil and water production data and investigating water-breakthrough behaviour including:

• Chan (1995) WOR / WOR′ diagnostic with smoothed WOR and WOR′ curves for visual interpretation.
• Field and well-level production analysis including oil and water production rates, water cut, and cumulative production.
• Ershaghi–Abdou X-plot, WOR and water cut vs cumulative oil, and water-cut heatmap.

The notebook uses Equinor's public Volve field data as an example. Open water_breakthrough_analysis.ipynb in Jupyter or VS Code and run the cells sequentially. The resulting figures are saved in results/.

Example output: results/figures/

References

• Chan, K. S. (1995). Water Control Diagnostic Plots. SPE 30775.
• Ershaghi, I., & Abdou, M. (1984). A Prediction Technique for Immiscible Processes Using Field Performance Data. Journal of Petroleum Technology.