Case study
Iris Edge pilot study
The Iris Edge platform combination of expert technology, trusted sensors, and tailored deployment hardware streamlines methane inspection compliance, helps you eliminate penalties quickly and accelerates your decarbonisation strategy.
Iris Edge is your key to incremental revenue at a labour-efficient cost, providing fully autonomous data analysis, auditable results for reporting certification and unmatched methane localisation and quantification.
The landmark US Inflation Reduction Act (IRA) and other global policies directs government spending toward reducing carbon emissions putting methane emissions firmly at the top of the energy industry's agenda.
What this means for the operators of oil and gas assets is much stricter fines and penalties for methane leaks depending on the size of your assets, these fines could be into the billions.
On-field personnel perform inspections without the this enables seamless integration into routine duties and 'fit-for-purpose' deployments across different platforms.
This exponentially decreases costs and allows technicians to perform inspections quickly and efficiently resulting in optimised operations and improved productivity.
We provide easy integration and customisation to meet your facility’s unique needs. As the software can effectively operate as a handheld device and on any robot or drone on the market.
We have successfully detected, quantified, and reported fugitive emissions in 9 natural gas facilities.
Autonomous methane emissions localisation and quantification with unparalleled accuracy
Analysis is carried out immediately and without need for operator intervention.
The software uses physics-based methane emission measurements with wind speed factored into the analysis.
There is no need for human review so saving time and cost while providing superior localisation
Our technology has been verified at the Lawrence Berkeley National Lab and tested at the DOE-sponsored METEC Center and the Canadian government-sponsored Alberta Methane Emissions Project.
Emissions are documented as 3D models with localised anomalies the methane concentration is then quantified as PPM and the methane flow rate is derived from dispersion models. Additionally, wind speed is factored into the analysis.
Precise measurements enable effective monitoring and control of fugitive emissions and auditable documentation allows for clean gas certification.
Enhance your revenue through transparent, compliant, and certifiable documentation of your operations, with a live dashboard with methane intensity levels and inspection results.
The system contains digital records of current and past inspections with analysis and leak and repair tracking on a map which allows you to monitor and manage your methane emissions proactively.
The system presents unbiased data and analysis for transparent process audits supported in a transparent and auditable manner.
Avoid high penalties and monetise your operations via methane performance credits.
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We have a rich history of innovation and first-principles understanding, having pioneered the field of equipment condition monitoring, working closely with clients and our partners in building sensing hardware and predictive maintenance software to troubleshoot and resolve critical equipment problems.
A recent example has seen our teams co-design our client's wireless vibration sensors, capable of high integration, accurate measurement, and data acquisition rates of 1-15 mins and co-deployed these sensors to 20 of 2,000 fin fans at one of their LNG sites. Our contribution accelerated development and deployments by ~2 years.
Based on extensive client knowledge and 10+years of operational data, we created and deployed explainable artificial intelligence models to production within four months.
We created a wireless sensor strategy assessment framework, capable of rapidly qualifying market sensors and building and developing an integrated architecture.
We have convinced our client's chief engineers to trust our transparent sensing analytics approach and architecture across all seven existing and new assets.
Data and analytics trends indicate that industry is increasingly using data fabric approaches to help address complexity and scale their data assets (Gartner, 2021). Data-driven models are only scratching the surface of what is possible.
Backed by 糖心Vlog and innovation funding, our team is always pushing to find better, faster and more robust solutions. With the ability to build specialised teams from over 40,000 experts in 60 countries, our solutions have no boundaries.