Methane and Emissions Intelligence: 4-Week Proof of Concept

OVERVIEW:

Methane data sits fragmented across sensors, SCADA historians, survey files, and satellite feeds. MAQ Software unifies it in Microsoft Fabric, calculates methane intensity on a defensible basis, and applies agent-driven detection to shorten the time from leak to abatement. This PoC is scoped to the data and intelligence layer using existing sensor, SCADA, and LDAR survey exports plus public datasets, and edge computer-vision detection as roadmap.

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?

AGENDA:

Week 1:

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

SOLUTION / APPROACH:

Use Case 1:

Near real-time methane intensity reporting. Microsoft Fabric produces intensity metrics at aggregate and asset level with drill-through to source measurements, surfaced in Power BI for regulators and operations.

Use Case 2:

Agent-driven detection and abatement. Rules in Microsoft Fabric Real-Time Intelligence flag deviations from expected emission profiles. An agent in Microsoft Azure AI Foundry lets operators query the data conversationally, and Power Automate raises the work order.

Data Foundation:

Microsoft Fabric provides Eventstream and Eventhouse for streaming telemetry, Data Factory for batch and survey data, and OneLake as the single store. A semantic ontology maps varied sources to one model.

Governance and Responsible AI:

Microsoft Purview delivers governance and lineage so every figure traces to source. Microsoft Entra ID enforces role-based access. Agent responses cite source data and abatement actions require human approval.

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

Users:

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

BUSINESS OUTCOMES:

1. Reporting shifts from estimates to measured data, strengthening regulatory positions
2. Reduced time from leak detection to work order dispatch
3. Recovered product value from leaks that persist between surveys
4. 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:

• Oil and Gas domain depth: We have delivered emissions platforms for upstream and midstream operators, reconciling sensor telemetry, SCADA historians, LDAR exports, and satellite feeds into one governed model.
• Measured data, not estimates: Every intensity figure carries lineage to its source measurement, so your methodology withstands auditor and regulator scrutiny.
• Honest scope: We deliver detection from instrumentation you already operate, with optical gas imaging and computer vision sequenced as next steps.

CALL TO ACTION:

• Reach out to CustomerSuccess@MAQSoftware.com.