This paper details a data-driven methodology applied at the Tangguh liquefied natural gas (LNG) facility in Indonesia to enhance flare-emission visibility and enable targeted reduction strategies. By integrating real-time process data with engineering models, flare contributions were quantified at the valve level. A phased implementation roadmap was developed to reduce flaring through three strategic focus areas: optimizing startup sequences, rationalizing purge-gas consumption, and adjusting operating parameters during LNG loading and dryer-bed changeover.
Introduction
Tangguh LNG, in Bintuni Bay, Indonesia, is a major facility with a total production capacity of 11.4 million tons per year across three processing trains. Traditionally, flare monitoring at Tangguh relied on flowmeters installed at the knockout drums of each major flare system (dry, wet, and tankage headers). While this provided a high-level summary of flare volumes, it offered little insight into the specific equipment or events contributing to flare load.
