GuideWhat is good for business is good for the environment

For many facilities teams, emissions monitoring sits in the same mental category as regulatory paperwork: Necessary, but unwelcome. Physical sampling, manual processing, and compliance reporting pile up as overhead costs against the work of actually running an operation. The burden is real. But it rests on a flawed assumption: That environmental data and operational data are separate things.

They are not. High emissions are a sign of lost productivity. Excess venting, poor combustion, and fugitive losses are not just environmental problems; they are symptoms of the same underlying inefficiencies that reduce throughput, lead to breakdowns and increase costs. Track one, and you are tracking the other.

"The environmental data is telling you that the facility can be improved. The question is: How do you listen?"

The data is already there

Most facilities are not short of data. Process logs, field reports, sensor readings, maintenance records. The information needed to diagnose operational inefficiency already exists inside existing systems. What has been missing is the means to unlock it.

That is beginning to change. A new generation of digital tools built around advanced models and AI-driven analytics can surface patterns and correlations buried deep in unstructured data — the kind that once lived only in an engineer's memory or a handwritten field note. Tacit knowledge, built up over years, can now be codified into actionable proposals rather than lost with a shift change.

Tearing down the data silos

In too many organizations, the data that could drive improvement is held in separate departments that rarely communicate. The ESG team holds its emissions records. Operations hold their process data. Management holds its energy and cost reports. Each group is optimizing for a narrow view — zooming in on the engine temperature, or the emissions reading, or the quarterly cost line.

The insight that changes things comes from zooming out. When those datasets are combined, something new becomes visible: a facility-wide picture of power use, temperatures, emissions, and throughput that no single department could see alone.

From that combined view, meaningful predictions become possible. Predictions that lead to action, reduce waste, and deepen understanding of how the facility is actually running.

Methane monitoring, in this framing, is not a silo to be managed. It is a starting point for seeing the cracks in an operation. It is an invitation to bring every department and its data to the same table and make decisions that are genuinely well informed.

Key takeaways from a recent webinar

In a recent webinar hosted by Dr Abbie Corbett of the Gas Technology Institute, our Head of Commercialization Dr Peter Evans shared our thoughts on the opportunity.