Experimental and numerical study of the dispersion of carbon dioxide plume

被引:72
|
作者
Xing, Ji [1 ]
Liu, Zhenyi [1 ]
Huang, Ping [1 ]
Feng, Changgen [1 ]
Zhou, Yi [1 ]
Zhang, Deping [2 ]
Wang, Feng [2 ]
机构
[1] Beijing Inst Technol, State Key Lab Explos Sci & Technol, Beijing 100081, Peoples R China
[2] PetroChina Jilin Oilfield Co, Petr Prod Technol Res Inst, Songyuan, Peoples R China
关键词
Heavy gas dispersion; CFD simulation; k-epsilon model; Carbon dioxide; Experiment; RNG k-epsilon model; SST k-omega model; HEAVY GAS DISPERSION; TURBULENCE MODELS; URBAN AREAS; LNG SPILLS; KIT FOX; RELEASE; ENVIRONMENT; VALIDATION; SIMULATION; DESIGN;
D O I
10.1016/j.jhazmat.2013.03.066
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Carbon Capture and Storage (CCS) and Enhanced Oil Recovery (EOR) technologies have been widely applied in the environmental protection and petroleum production fields. However, accidental release of carbon dioxide may cause damage and losses during oil and gas production. This paper presents a reduced-scale field experiment designed to imitate a CO2 blowout for the purpose of acquiring concentration the distribution in the flow field. Additionally, computational fluid dynamics (CFD) code was used to perform numerical simulations of the field experiment using the k-epsilon, RNG k-epsilon and SST k-omega models. The results of these models were compared with the experimental data for validation, and statistical performance indicators were introduced to verify the simulated values. According to experimental and numerical results, the interior flow structure of a CO2 plume was analyzed together with consideration of negative buoyancy effects. The concentration as a function of time was studied by comparing the observed values and simulation results. We conclude that the CFD simulation results from the k-epsilon and SST k-omega models are in acceptable agreement with the experimental data according to the Chang's criteria, and predicted values from the RNG k-epsilon model are unsatisfactory. Therefore, the CFD techniques can be satisfactorily applied in industrial risk analysis procedures with acceptable accuracy according to the Chang's criteria. (C) 2013 Elsevier B.V. All rights reserved.
引用
收藏
页码:40 / 48
页数:9
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