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Oil and Gas Tank Level Forecasting

Today, most facilities operate reactively to problems in tank levels. This often leads to spills, emergency shutdowns, expensive remediation costs, regulatory issues, costly repairs and fines. Tank level forecasting helps manage and abate these and other problems.

Forecasts are created by harnessing the power of real-time and historical data readily available from sensors, meters and records, which helps to:

  • Prevent tank spillage and emergency shutdowns
  • Discover hardware malfunction or failure
  • Schedule maintenance, shutdowns, and logistics
  • Optimize operations and facility efficiency
  • Detect pipeline leaks and slugging
  • Reduce costs, fines, and downtime

The tank level forecasting process starts at the well input. Oil is measured as it comes into the facility via meters and is sent to tanks. Levels are monitored and recorded in tanks during the refining process and then oil, gas, and water output are recorded via sensors, meters, and records. Forecasts are then made using data from the facility; for example, forecasts can be made every 15 minutes.

The Cortana Intelligence Suite is adaptable and can be customized to meet different requirements that facilities and corporations have.

Previsión del nivel de los depósitos de petróleo y gasActualmente, la mayoría de las instalaciones funcionan reaccionando a los problemas con los niveles de los depósitos. A menudo, esto da lugar a vertidos, cierres de emergencia, costos de reparación elevados, problemas normativos y costosas multas. La previsión del nivel de los depósitos facilita la administración y evita estos y otros problemas.

Disclaimer

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Previsión del nivel de los depósitos de petróleo y gasActualmente, la mayoría de las instalaciones funcionan reaccionando a los problemas con los niveles de los depósitos. A menudo, esto da lugar a vertidos, cierres de emergencia, costos de reparación elevados, problemas normativos y costosas multas. La previsión del nivel de los depósitos facilita la administración y evita estos y otros problemas.

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Energy Supply OptimizationIn an energy grid, energy consumers are engaged with various types of energy supplying, trading, and storage components such as substations, batteries, windfarms and solar panels, micro-turbines, as well as demand response bids, to meet their respective demands and minimize the cost of energy commitment. To do so, the grid operator must determine how much energy each type of the resources should commit over a time frame, given the prices of soliciting different types of resources and the capacities and the physical characteristics of them.

Energy Supply Optimization

In an energy grid, energy consumers are engaged with various types of energy supplying, trading, and storage components such as substations, batteries, windfarms and solar panels, micro-turbines, as well as demand response bids, to meet their respective demands and minimize the cost of energy commitment. To do so, the grid operator must determine how much energy each type of the resources should commit over a time frame, given the prices of soliciting different types of resources and the capacities and the physical characteristics of them.