A Path to the Reduction of CO2 Emissions

I wrote a short article some time ago about how data-driven solutions are playing a critical role in helping companies meet their sustainability goals. Here are some key highlights from the article: 

• Sustainability is becoming increasingly important for companies, who are turning to data-driven solutions to monitor, report, and reduce their environmental impact.
• Cognite has encountered many innovative solutions that promote sustainability, such as automating greenhouse gas emissions reporting and using robotics to detect dangerous leaks.
• A large set of sustainability metrics in industrial settings are best managed by real-time calculations, which need to be packaged as trusted data products for consumption.
• Diligent and accurate metrics are important, but decisive actions matter most. With a solid data foundation, companies can optimize operations and drive positive impacts in sustainability.
• Cognite Data Fusion enables companies to deliver positive impact supporting their sustainability strategies with digitalization and data-driven solutions.

Now, I am very happy to share the example of PGS. PGS is a marine geophysical company supporting the search for affordable and sustainable energy for all. In collaboration with industry, society, and authorities, PGS advances marine subsurface knowledge for evolving energy needs. As a pioneering company has successfully delivered and scale their innovative solutions to reduce emissions across their fleet

Two solutions, Optimal Vessel Speed and Energy Efficiency, are now fully embedded into everyday PGS processes. Cognite Data FusionTM (CDF) is the DataOps platform used to integrate data from many diverse sources available across the PGS fleet, contextualize the data and provide tools to enable both visualization and data science pursuits such as machine learning (ML). The PGS Digital Factory has many time series and events in CDF connected to a hierarchy of assets, and other data resources within CDF such as geospatial data are also utilized.

Read the attachment for more details!