{"title":"Enhanced modeling of deep-water condensate transport and dispersion in the South China Sea","authors":"Qiuyan Wang, Yuling Lü, Xiaoming Luo, Xuerui Zang, Binxi Yue","doi":"10.1016/j.psep.2024.12.111","DOIUrl":null,"url":null,"abstract":"With the increasing global development of deepwater condensate reservoirs, the potential risks of leaks from condensate gas and oil are significant. However, existing oil spill models have limitations in simulating these leaks, particularly in handling multiphase bubbles and hydrate morphology. This study adopts thermodynamic models to simulate the phase change of condensate gas during deepwater ascent, accounting for multiphase bubble partitioning. The effect of hydrate shell morphology evolution on leakage transport is improved to enhance model applicability and accuracy. Comparative analysis with laboratory and field data reveals an average relative error of less than 10 %, demonstrating robust predictive capability. The model was applied to a short-term leakage scenario in a South China Sea condensate field. Results showed a complete depletion of gas-phase components in the condensate bubbles, with 18 % of liquid-phase components (C<ce:inf loc=\"post\">5</ce:inf> and C<ce:inf loc=\"post\">6</ce:inf>) remaining to be transported to the far field. Additionally, a 0.55 km² oil slick was detected 360 m southwest of the leakage point after 72 h of reciprocating flow. This research provides a solid theoretical foundation for emergency response and consequence assessment of subsea oil and gas pipeline leaks, advancing related research and applications.","PeriodicalId":20743,"journal":{"name":"Process Safety and Environmental Protection","volume":"40 1","pages":""},"PeriodicalIF":6.9000,"publicationDate":"2024-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Process Safety and Environmental Protection","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.1016/j.psep.2024.12.111","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, CHEMICAL","Score":null,"Total":0}
引用次数: 0
Abstract
With the increasing global development of deepwater condensate reservoirs, the potential risks of leaks from condensate gas and oil are significant. However, existing oil spill models have limitations in simulating these leaks, particularly in handling multiphase bubbles and hydrate morphology. This study adopts thermodynamic models to simulate the phase change of condensate gas during deepwater ascent, accounting for multiphase bubble partitioning. The effect of hydrate shell morphology evolution on leakage transport is improved to enhance model applicability and accuracy. Comparative analysis with laboratory and field data reveals an average relative error of less than 10 %, demonstrating robust predictive capability. The model was applied to a short-term leakage scenario in a South China Sea condensate field. Results showed a complete depletion of gas-phase components in the condensate bubbles, with 18 % of liquid-phase components (C5 and C6) remaining to be transported to the far field. Additionally, a 0.55 km² oil slick was detected 360 m southwest of the leakage point after 72 h of reciprocating flow. This research provides a solid theoretical foundation for emergency response and consequence assessment of subsea oil and gas pipeline leaks, advancing related research and applications.
期刊介绍:
The Process Safety and Environmental Protection (PSEP) journal is a leading international publication that focuses on the publication of high-quality, original research papers in the field of engineering, specifically those related to the safety of industrial processes and environmental protection. The journal encourages submissions that present new developments in safety and environmental aspects, particularly those that show how research findings can be applied in process engineering design and practice.
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