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Surrogate Model Development for Digital Experiments in Welding

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LCA model validation of SAGD facilities with real operation data as a collaborative example between model developers

Mohammad S Masnadi¹, Kyle McGaughy¹, Jillian Falls²

¹Department of Chemical & Petroleum Engineering, University of Pittsburgh, 3700 O'Hara St, 940 Benedum Hall, Pittsburgh, PA 15261, USA.

|January 23, 2023

Summary

Life cycle assessment (LCA) models for greenhouse gas (GHG) emissions are improved by engaging industry experts. This collaboration validates models with operational data, aligning research and industry estimates for oil sands projects.

Keywords:

Energy Resources Energy modeling Environmental Science

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Area of Science:

Environmental Science
Energy Systems Analysis
Life Cycle Assessment (LCA)

Background:

Discrepancies exist between academic life cycle GHG emission estimates and industry-reported data due to unvalidated LCA models.
Limited collaboration between LCA model developers and industry experts hinders accurate emission estimations.

Purpose of the Study:

To present a procedure for engaging company experts to enhance an open-source LCA simulator (OPGEE).
To rigorously compare GHG emissions of oil sands SAGD fields against reported data using validated LCA models.

Main Methods:

Engaging company experts to refine assumptions, models, and data for the OPGEE LCA simulator.
Utilizing real operation and local emission factor data for two oil sands SAGD fields.
Comparing OPGEE's scope 1 and 2 GHG emission estimates with company-reported data.

Main Results:

OPGEE's carbon intensity estimates, using consistent region-specific data and boundaries, achieved 1%-5% agreement with reported company data.
Expanding system boundaries in LCA models (e.g., including offsite emissions) significantly impacts GHG intensity estimates.

Conclusions:

Engaging industry experts is crucial for validating LCA models and reconciling discrepancies in GHG emission estimates.
The enhanced OPGEE simulator provides more accurate GHG intensity assessments for oil sands operations.
Careful consideration of system boundaries is essential for comprehensive and reliable LCA studies.