Description: A journey from oil leakage to applying AI to predict equipment failures
** Project status: ** Completed
Oil Pipeline Accidents, 2010-Present
Location: database.csv
Description: This database includes a record for each oil pipeline leak or spills reported to the Pipeline and Hazardous Materials Safety Administration since 2010. These records include the incident date and time, operator and pipeline, cause of the incident, type of hazardous liquid and quantity lost, injuries and fatalities, and associated costs.
Location: equipfails
Description: Predict downhole equipment failures using sensor data!
Features summary: There are two types of sensor columns in these data sets :
-
measure columns
- These columns are a single measurement for the sensor. -
histogram bin columns
- These columns are set of 10 columns that are different bins of a sensor that show its distribution over time.
python
, pandas
, matplotlib
, plotly
, scikit-learn
All of the results can be found in the medium post
However, the visualizations are all static. For interactive graphs, go to Accident_visulization.ipynb
and execute the file.