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Case Studies

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Pioneering environmental accountability in oil operations

Pioneering environmental accountability in oil operations

Pioneering environmental accountability in oil operations

How Eugenie.ai enabled early detection of super-emitters for a Canadian oil major

How Eugenie.ai enabled early detection of super-emitters for a Canadian oil major

Early detection of emission anomalies

Enhanced environmental oversight

Improved operational efficiency

Strengthened compliance standards

The challenge

Managing complex environmental monitoring

A leading Canadian oil company grappled with comprehensive environmental oversight across their extensive North American operations. Their existing approach to emissions monitoring was significantly hindered by data limitations, operational complexity, and the challenging nature of tracking emissions across multiple geographical locations simultaneously.

Key challenges

  • Limited visibility across expansive oilfields and processing facilities

  • Fragmented emissions data

  • Siloed operational information

  • Difficulty reconciling emissions anomalies with operational events

The solution

AI-powered emissions intelligence platform

Advanced monitoring

Satellite-based emissions detection

Area flux mapping technology

Point source identification

Plume detection analysis

Data integration

Weather pattern analysis

Wind pattern correlation

Asset digital twin integration

Process monitoring systems

Implementation approach

1

Data collection and integration framework

  • TROPOMI data integration

  • Landsat 8 OLI utilization

  • Landsat 8 OLI utilization

  • Polygon-based inspection

2

Advanced analysis enabled framework

  • Image processing deployment

  • Spatial pattern analysis

  • Temporal pattern analysis

  • Hotspot identification

3

Response strategy implementation

  • Dynamic intervention protocols

  • Strategic emission forecasting

  • Compliance monitoring

  • Impact assessment

The impact

Enhanced environmental stewardship and operational excellence

Environmental improvements

  • Early detection of emission anomalies

  • Reduced fugitive emissions and process inefficiencies

  • Enhanced sustainability through proactive monitoring

Operational impact

  • Improved emission trend forecasting with advanced AI analytics

  • Early interventions averted major environmental risks

  • Hotspot identification

Business value

  • Prevented costly equipment failures and emissions-related penalties

  • Strengthened environmental accountability and operational efficiency

Looking ahead

Enhanced AI capabilities

  • Enhanced AI capabilities

Broader implementation

  • Scaling across additional sites

Innovation focus

  • Advancing detection technology