Methane and Emissions Intelligence: 4-Week PoV

Oil and gas operators face growing regulatory and investor pressure to cut methane emissions, yet fragmented data across sensors, SCADA historians, survey files, and satellite feeds leaves reporting reliant on estimates rather than measured data, while delays between leak detection and response drive lost product and penalty exposure.

MAQ Software unifies this data in Microsoft Fabric, calculates methane intensity on a defensible basis, and applies agent-driven detection to shorten the time from leak to abatement.

Business Challenge

• Emissions sources arrive with no shared data model, so reconciliation is manual and reporting leans on estimates rather than measured data, weakening audit and regulatory positions.
• Once a leak is detected, response is delayed by handoffs across monitoring, operations, and maintenance, causing lost product and penalty exposure.

Key Questions

• Can you report methane intensity from measured data, at asset level?
• How long does it take to move from a detected leak to a dispatched work order?
• Can you evidence lineage and calculation logic to an auditor?
• Can you add new sensor and satellite sources without rebuilding the pipeline?

Strategy

Week 1:

• Scope one site or asset group and inventory sources.
• Define the emissions semantic model and intensity calculation logic and Provision Microsoft Fabric.

Week 2:

• Build ingestion using Microsoft Fabric Eventstream and Data Factory.
• Land data in bronze, silver, and gold layers in OneLake.
• Implement intensity calculations and the first Power BI report.

Week 3:

• Configure anomaly detection in Microsoft Fabric Real-Time Intelligence.
• Build the emissions agent in Microsoft Azure AI Foundry.
• Use Power Automate to raise work orders and alert crews in Microsoft Teams.

Week 4:

• Validate outputs against historical events and reported figures.
• Run user testing with operations and sustainability stakeholders.
• Deliver the readout and roadmap.

Deliverables

• Methane intensity Power BI report for the in-scope asset group
• Executive readout with validation results and value case
• Documented calculation methodology
• Microsoft Fabric workspace with ingestion pipelines and medallion layers
• Emissions semantic model and anomaly detection rules
• Emissions agent in Microsoft Azure AI Foundry with Power Automate work order flow

Target Audience

• Emissions and regulatory reporting analysts
• Remote operations centre operators
• HSE and data engineering teams

Business Outcomes

• Reporting shifts from estimates to measured data, strengthening regulatory positions
• Reduced time from leak detection to work order dispatch
• Recovered product value from leaks that persist between surveys
• One set of emissions numbers across operations and sustainability

Prerequisites

• Representative sensor, SCADA, or survey data for one site
• Existing reported emissions figures for validation
• Stakeholder availability from HSE, operations, and data teams

Why MAQ Software

• Proven expertise delivering solutions for oil and gas operators across upstream and midstream operations.
• Deep experience unifying sensor, SCADA, LDAR, and satellite emissions data into one governed model.

Call To Action

• Reach out to CustomerSuccess@maqsoftware.com