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Basic well log interpretation.ipynb
Basic well log interpretation.ipynb
 
 
LICENSE
LICENSE
 
 
README.md
README.md
 
 
README.txt
README.txt
 
 
W1 Well Logs.csv
W1 Well Logs.csv
 
 
W1 Well Logs.xlsx
W1 Well Logs.xlsx
 
 
WA1.LAS
WA1.LAS
 
 
WA1.txt
WA1.txt
 
 
advanced_production_data.csv
advanced_production_data.csv
 
 
advanced_well_analysis.csv
advanced_well_analysis.csv
 
 
advanced_well_logs_Well_0.png
advanced_well_logs_Well_0.png
 
 
advanced_well_logs_Well_1.png
advanced_well_logs_Well_1.png
 
 
advanced_well_logs_Well_2.png
advanced_well_logs_Well_2.png
 
 
advanced_well_logs_Well_3.png
advanced_well_logs_Well_3.png
 
 
advanced_well_logs_Well_4.png
advanced_well_logs_Well_4.png
 
 
complex_learning.ipynb
complex_learning.ipynb
 
 
correlation_heatmap.png
correlation_heatmap.png
 
 
covid_impact.png
covid_impact.png
 
 
dashboard.py
dashboard.py
 
 
data.ipynb
data.ipynb
 
 
economic_analysis_results.csv
economic_analysis_results.csv
 
 
efficient_frontier.csv
efficient_frontier.csv
 
 
interactive_dash.ipynb
interactive_dash.ipynb
 
 
interactive_dash.py
interactive_dash.py
 
 
lastotext.py
lastotext.py
 
 
learning_basic.ipynb
learning_basic.ipynb
 
 
ml_features.csv
ml_features.csv
 
 
oil-spill.csv
oil-spill.csv
 
 
oil-spill.ipynb
oil-spill.ipynb
 
 
oil_gas_dashboard.py
oil_gas_dashboard.py
 
 
oil_spill_detailed_report.csv
oil_spill_detailed_report.csv
 
 
oil_spill_summary_report.csv
oil_spill_summary_report.csv
 
 
optimization_results.csv
optimization_results.csv
 
 
optimized_portfolio.csv
optimized_portfolio.csv
 
 
petrol_price.csv
petrol_price.csv
 
 
petroleum_dashboard.py
petroleum_dashboard.py
 
 
petroleum_prices.ipynb
petroleum_prices.ipynb
 
 
portfolio_analysis_visualization.png
portfolio_analysis_visualization.png
 
 
price_trends.png
price_trends.png
 
 
production_analysis_results.csv
production_analysis_results.csv
 
 
production_data_visualization.png
production_data_visualization.png
 
 
requirements.txt
requirements.txt
 
 
requirements_minimal.txt
requirements_minimal.txt
 
 
reservoir_statistics.csv
reservoir_statistics.csv
 
 
seasonal_patterns.png
seasonal_patterns.png
 
 
shap_summary.png
shap_summary.png
 
 
summary_dashboard.png
summary_dashboard.png
 
 
volatility.png
volatility.png
 
 
weather_report.py
weather_report.py
 
 
well_analysis_visualization.png
well_analysis_visualization.png
 
 
well_log_analysis_results.csv
well_log_analysis_results.csv
 
 

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Basic-Well-Log-Interpretation

 An exemple of how to make a quick interpretation of well logs using python, matplotlib, pandas and a few pre-defined petrophysical functions. 

Check the Jupyter notebook!

Test data is in WA-1.las, which is converted in WA-1.txt with lastotext.py (not an elegant solution for reading las files!)
Logs can be finally exported to csv or excel !

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Data Analysis | Python

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