Abstract
<jats:title>Abstract</jats:title> <jats:p>This work highlights the critical role of compositional network modeling in optimizing degassing operations in mature brown fields, particularly under high gas-oil ratio (GOR) conditions. Traditional black oil models, while useful for basic volumetric analysis, lack the granularity needed to simulate dynamic phase behavior across complex networks. The objective is to demonstrate how compositional modeling provides superior predictive capabilities for fluid separation, routing, and network performance—enabling scalable, cost-effective solutions for gas-handling constraints. A compositional model was developed using GAP (Petroleum Experts) to simulate fluid behavior across a brown field in the Middle East. The model incorporated well-level production data, fluid compositions, and separator performance parameters. Wells were grouped into operational scenarios to evaluate how routing selected wells through portable separators—installed at pad-level Multiphase Flow Meter (MPFM) headers—would affect gas-liquid separation and downstream flow assurance. Sensitivity analyses were conducted to assess separator pressure, gas compatibility with non-associated gas networks, and liquid reintegration into the oil system. The model was calibrated using mixed gas samples and validated through field execution.</jats:p> <jats:p>The compositional model enabled accurate prediction of gas composition, separator efficiency, and downstream impacts. It supported strategic decisions on well selection and choke optimization, resulting in the diversion of 25 MMSCFD of gas and unlocking 28% increase in oil rate from previously shut-in wells. The degassed liquid stream showed improved flow assurance, and the separated gas met reinjection specifications. Compared to black oil modeling, the compositional approach provided dynamic adaptability, higher fidelity, and operational reliability. The intervention was executed safely and within planned timelines, demonstrating the model's effectiveness in real-world conditions. This study introduces a field-proven framework for integrating compositional modeling into degassing strategy design. It showcases how detailed phase behavior simulation can overcome limitations of black oil models, especially in high-GOR environments. The approach is replicable across similar constrained assets and aligns with upstream innovation goals—offering a scalable, low-investment pathway to enhance production and operational flexibility.</jats:p>