The New Madrid Seismic Zone (NMSZ) poses a major risk to fuel distribution infrastructure across the central U.S., where disruption could severely limit fuel availability during an emergency. This project, developed in partnership with the MIT Humanitarian Supply Chain Lab, analyzes downstream fuel supply under earthquake conditions using operational flow capacity (OFC) queuing theory and discrete event simulation in Python. The objective is to evaluate how different infrastructure disruptions affect delivery capacity and simulate which interventions are the most effective. Seven emergency scenarios were modeled across 12 terminal groups and over 5,000 gas stations using data from the Energy Information Administration (EIA), Oil Price Information Service (OPIS), and ArcGIS. Results show a systemwide OFC decrease from 31.56 to 14.82 MMgal/day. Memphis, TN, is the most critical terminal group and lost 20% of its throughput during a modeled shutdown. While the major metropolitan area interdiction scenario reached 200% surge capacity with full interventions, the TEPPCO pipeline scenario peaked at only 182%, highlighting system vulnerability. These findings emphasize the need for targeted operational interventions (e.g., reduce bay time, increase driver hours) and structural upgrades to build a resilient emergency fuel distribution network in the NMSZ.