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 malfunctions or failures
Schedule maintenance, shutdowns and logistics
Optimise 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 customised to meet different requirements that facilities and corporations have.
In an energy grid, energy consumers are engaged with various types of energy supplying, trading and storage components such as substations, batteries, wind farms, solar panels, micro-turbines and demand response bids to meet their respective demands and minimise the cost of energy commitment. To achieve this, the grid operator must determine how much energy each type of resource should commit over a given time frame, given the prices of soliciting different types of resources and the capacities and physical characteristics of each of them.