Energy

AI Use Cases

Predict commodity requirements

Oil And Gas

Predict commodity requirements - typically to optimise procurement strategy for large industrial organisations.

Predict problems and recommend proactive maintenance for mining, drilling and support equipment

Oil And Gas

Predict failure and recommend proactive maintenance for mining, drilling, power generation, and moving equipment

Examine ground composition to reduce required volume of exploratory drilling for samples

Oil And Gas

Interpolate data on ground composition to reduce the required exploratory drilling samples. This increases speed to market and reduces the potential workload.

Optimise extraction plans based on data including drilling samples and performance at historic and comparable sites

Oil And Gas

Optimise mine extraction plans based on drilling samples, past sites, and other data including satellite and drone footage

Predict problems and recommend proactive maintenance for power generation and supporting equipment

Renewable Energy

Predict failure and recommend proactive maintenance for mining, drilling, power generation, and moving equipment

Optimise performance and positioning of wind turbines

Renewable Energy

With sufficient warning wind turbines can be positioned at optimal angles to extract maximum benefit from fast-changing gusts of wind. in concentrated fields of windmills the windflow interaction between turbines can also add to the complexity that needs modelling.