Cause-informed framework for risk-targeted methane emission mitigation in oil and gas operations

Area of Science:

• Environmental Science
• Atmospheric Chemistry
• Energy Policy

Background:

• Methane emissions from oil and gas operations are a significant climate concern.
• Previous research quantified emissions but lacked detailed causal analysis.
• Understanding causal mechanisms is crucial for effective mitigation.

Purpose of the Study:

• To identify and analyze the causal mechanisms behind methane emissions in the oil and gas supply chain.
• To integrate aerial survey data with cause-tracking analyses.
• To inform targeted methane mitigation strategies.

Main Methods:

• Utilized large-area aerial surveys for methane emission measurements.
• Integrated emissions data with source-tracked cause analyses.
• Analyzed emission patterns to determine underlying causal factors.

Main Results:

• 53% of emissions were attributed to specific causal categories; the remainder were normal operations.
• Abnormal tank emissions were most frequent, while unloading events had the highest average emission rate.
• High-magnitude emissions result from operational escalations, not distinct causes, and show temporal/inter-operator variability.

Conclusions:

• Methane mitigation should shift from generalized detection to risk-targeted, process-informed strategies.
• Operator-specific and adaptive mitigation approaches are needed.
• Understanding causal mechanisms is key to reducing oil and gas methane emissions effectively.