Access the Open Source Emissions Quantification Methodology Contributed by Context Labs

At-Scale Digital Transformation: Real-Time, Quantified Digital Twin for Asset-Level Emissions Management and Shipment-Level Emissions Certification

Managing carbon intensity at scale is data intensive and requires robust, data-driven solutions. The numbers speak for themselves:

A single facility can generate hundreds of sensor readings, totaling approximately 432 million data points per day.

For an enterprise with 700 facilities, that scale grows exponentially to 302.4 billion data points per day.

Learn how to harness this data to quantify, monitor, and optimize emissions at scale.

Access the Complete Methodology Below to strengthen your market position with the most advanced and robust approach to emissions quantification.

The Open Source Emissions Quantification Methodology is a data and analytics framework that incorporates all critical sources of operations, emissions and contextual data for accurately measuring and reporting lifecycle emissions across the natural gas value chain. Context Labs has initially contributed the enclosed Emissions Quantification Methodology for the generation of Asset-Grade Environmental Assets. Built on years of rigorous research and deployed at scale with over 30% of the U.S. Natural Gas system, this methodology empowers organizations to meet and exceed global emissions standards like OGMP 2.0 Level 5, while enabling actionable transparency for stakeholders. This methodology is contributed to the Open Decarbonization Project under the MIT Open Source License by Context Labs.

Built on Asset-Grade Data & Designed for Trust
This methodology integrates advanced sensing technologies, operational data, and innovative analytics to produce Asset-Grade Data (AGD™) that supports verifiable, science-driven decarbonization efforts. Leveraging world-class advanced Data Fabric technology to reduce errors and improve granularity and transparency.

What You’ll Learn:

  • A comprehensive approach to quantifying methane and greenhouse gas emissions from upstream production to end-use delivery.
  • How the methodology integrates top-down and bottom-up measurements for unparalleled accuracy.
  • The role of Context Labs’ Immutably™ Data Platform in ensuring data veracity and trust across workflows, with distributed ledger backed traceability.
  • How emissions can be accurately assigned to point source assets, tracked across the full supply chain and allocated to specific shipments to deliver accountability and transparency.

Why It Matters:

  • Proven at Scale: Validated by leaders in the natural gas industry, including Williams and EQT, to ensure emissions transparency.
  • Open-Source Commitment: Contributed to the Open Decarbonization Project under the MIT Open Source License.
  • Actionable Data & Analytics: Enables operational decarbonization, supports compliance requirements, drives competitive differentiation, elevates stakeholder trust, and re-frames strategic decision-making.

Access the Methodology
Fill out the form below to download the Emissions Quantification Methodology, Version 2.4, and join the movement toward a more transparent, data-driven approach to emissions management.