System and method for enhanced predictive failure analysis of natural gas equipment using ai-driven sensor and emissions data integration

A method for predicting equipment failure in natural gas equipment, comprising:

• a) collecting operational data including:
• engine and compressor sensor data;
• emissions data;
• vent-gas measurements;
• b) analyzing combined data patterns using an artificial intelligence model to:
• identify correlations between O2 fluctuations and manifold pressure instability;
• detect relationships between packing vent flow and pressure measurements;
• monitor patterns of NOx and CO stability;
• c) generating probability-based predictions of potential equipment failures based on the analyzed patterns.

A comprehensive monitoring system for natural gas equipment, comprising:

• a) a fugitive gas capture system including:
• collection points for multiple emission sources;
• a filtration system;
• an engine air intake system;
• b) an artificial intelligence analysis system configured to:
• analyze combined sensor and emissions data;
• predict potential equipment failures;
• generate probability-based assessments;
• c) a data integration system configured to:
• synchronize operational and emissions data;
• enable periodic data transmission;
• support portable analyzer integration.