Unlock carbon emissions savings as part of daily operations.
With emissions.AI you can unlock emissions saving opportunities and empower your operations teams to contribute to decarbonisation goals.
Optimise your assets for lower carbon emissions.
emissions.AI is a cloud-based artificial intelligence solution to help companies optimise complex industrial facilities for lower carbon emissions.
emissions.AI helps customers to operate their assets with:
emissions.AI helps to embed actionable emissions intelligence into daily operations.
Automate data analysis, eliminate complex calculations and underpin reporting with less effort.
Monitor live energy use and emissions at process and equipment levels to drive faster, better informed decisions.
Know when and where to optimise processes / plant and reduce energy / fuel consumption for lower emissions.
Embed accurate, robust and actionable emissions data and intelligence into existing workflows and processes.
Share robust emissions analytics across your organisation to embed a culture of carbon awareness.
Manage operational emissions and consider carbon as an integral part of daily operations.
Manage and optimise fuel use and energy consumption from the plant, process systems and start-ups.Find out more
Flaring & Venting
Monitor and minimise emissions from flaring and venting processes, automatically categorise events and increase gas recovery.Find out more
Quantify methane emissions from processes and plant to include local vents, fugitives and combustion.Find out more
Oil in Water Tool
Track and improve oil in produced water performance and anticipate levels of discharge according to plant operating conditions.Find out more
Multiple Data Sources
Leverage multiple data sources (process, equipment, historian, OEM design data, metering data, gas composition, etc.)
Integrate with existing digital architecture or operate stand-alone with access at anytime, anywhere through an intuitive web-based interface
Share and integrate emissions data, information and intelligence across the organisation
Visualise aggregated, multi-level data across process, systems, equipment, ancillaries, including performance and costs
Drill down in granular detail to all energy and emissions sources, individual components and energy consumers
Optimise for changes in output targets, fluid rates, degradation, configuration and emerging constraints
Automatically detect excess emissions and contextualise by source or emitter using AI and machine learning
Proactively prioritise and raise actions to avoid, manage and control excess emissions and optimise energy use
Perform detailed analysis to understand, calculate and track emissions profiles by operational scenarios, events and modes
Overcome missing instrumentation, metering and data gaps using physics guided work arounds
Underpin robust regulatory and stakeholder emissions reporting; take advantage of carbon trading market dynamics
Benchmark emissions performance by asset, compare emissions by intensity, volume and compositions contextualised to plant configurations