Oil & gas service provider: Tank level forecasting

Oil & gas service provider: Tank level forecasting


  • Inaccurate tank levels lead to inefficiencies in device maintenance and operational planning
  • Need for accurate forecasts to minimize leaks, spillage, and downtimes
  • Identify equipment failure as well as maintenance issues before shutdowns

Oil and gas solutions


  • Built predictive model to forecast tank levels using onsite sensor reading and historical data. Tank forecasts leveraged to schedule tank pickups and minimize downtime at the site
  • Leveraged Azure Machine Learning for rapid parallel model testing and development. Tested different advanced machine learning algorithms (Neural Network Regression, Poisson Regression, Decision Forest Regression) enable accurate prediction
  • Build Power BI dashboards available on PCs and mobile devices to monitor oil wells and other assets in the field. Based on data it can generate real-time alerts.

Oil and gas results


  • Power BI dashboard to analyze field assets, plan activities and monitor for failures
  • The minimized time needed for resolution across device maintenance issues
  • Schedule jobs/trucks/maintenance optimally, reducing cost and increasing revenue