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Data-Driven Analysis Prioritizes Upgrades and Strengthens Long-Term System Reliability

Firewater Modeling Reveals Critical System Deficiencies

Managing risk across a large, aging firewater network requires a clear understanding of how the system will perform under critical conditions. At a Gulf Coast refinery, a calibrated hydraulic model simulated multiple fire scenarios, uncovering system deficiencies and areas where firewater demand could not be met. The analysis provided targeted upgrade recommendations that improved redundancy, reliability and long-term system performance. Download the case study to see how data-driven modeling helped prioritize capital improvements and strengthen asset protection.