AI for Emissions Reduction
In a fast-changing landscape, emissions reduction is now a key and urgent priority for oil, gas and energy companies. Reducing emissions through operational improvement offers the quickest and lowest cost pathway to decarbonise operations and minimise environmental impact.
Operate your assets with the lowest achievable emissions.
emissions.AI is a cloud-based artificial intelligence (AI) solution for complex assets to monitor, reduce and control operational emissions, optimise energy use, and minimise environmental impact.
emissions.AI will help your asset teams to:
Measure, monitor and visualise comprehensive emissions data down to individual source or emitter
Automatically calculate the lowest achievable emissions (each minute) for any operating mode, configuration or constraint
Reduce, Control & Optimise
Auto-detect and discover excess emissions as they occur in real time, pinpoint causes and take action to reduce emissions and dynamically control and optimise energy use
Establish workflows to manage emissions, demonstrate regulatory compliance, achieve stakeholder targets and drive cultural change
Real Time Reporting
Save time and supercharge team productivity with automated analysis, reporting calculations and forecasting capabilities
Reduce Carbon Costs
Reduce carbon (ETS), energy and fuel costs (without CAPEX modifications) while maintaining output targets
emissions.AI has a number of pre-built modules with codified domain expertise gained from years of related experience across multiple assets. Any combination of these modules can be selected and configured for each specific asset or scope of application.
Reduce energy consumption and optimise energy efficiency, start-ups and process systems
Flaring & Venting
Reduce and minimise excess emissions from flaring and venting
Quantify, understand and reduce primary fugitive sources of methane (IN DEVELOPMENT)
Oil in Water Tool
Manage and reduce the levels of oil in produced water
Emissions.AI is a modular software application with comprehensive setup, maintenance and support, with an optional range of services.
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 track insights, opportunities, recommendations and operational actions across the organisation with in-built workflows
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
Simplify and streamline 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