Quantifying leakage and dispersion behaviors for sub-sea natural gas pipelines
Quantifying leakage and dispersion behaviors for sub-sea natural gas pipelines
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量化海底天然气管道的泄漏和扩散行为
DOI：
10.1016/j.oceaneng.2020.108107
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发表时间：
2020
影响因子：
5
通讯作者：
Yuxing Li
中科院分区：
文献类型：
--
作者：
Cuiwei Liu;Yihan Liao;Shaoxiong Wang;Yuxing Li
水下天然气管道的意外泄漏对环境造成重大威胁。因此，估计泄漏率和监测管道外甲烷扩散范围是必要的，这是由于水的存在而具有挑战性的。本工作的主要贡献是利用实验和数值方法建立了泄漏率计算和气体分散模型。首先，通过实验揭示了压力、泄漏孔直径和水深对泄漏速率和气体扩散过程的影响。根据所建立的实验设备，建立了包括积分数学模型和计算流体力学模型在内的数值模型。根据轴向速度、半径和弹簧高度对两种模型进行了比较和验证。此外，利用计算流体力学模型进行了现场模拟，量化了气体泄漏率和扩散预测，预测了上升时间和扩散范围。结果表明，量化估计相关性预测海洋泄漏率的误差小于16.47%，计算流体动力学模型预测扩散过程更准确，而积分数学模型预测扩散过程更快。
Accidental leakages in underwater natural gas pipelines pose significant risks for the environment. Therefore, it is essential to estimate the leakage rate and monitor the methane diffusion range outside the pipeline, which is challengeable due to the presence of water. The main contribution of this work is to establish the leakage rate calculation and gas dispersion models using the experimental and numerical methods. Firstly, the influences of the pressure, leakage orifice diameter and water depth on the leakage rate and gas dispersion process were revealed through experiments. Further, according to the established experimental facilities, the numerical models including the integral mathematical model and computational fluid dynamic model were established. According to the axial velocity, radius and spring height, the two model were compared and validated. In addition, a field simulation using computational fluid dynamic model was conducted to quantify the gas leakage rate and dispersion prediction, predicting the rising time and diffusion range. The results indicate that the quantifying estimation correlation can predict the leakage rate in the sea with errors less than 16.47%, and the computational fluid dynamic model could predict the dispersion process more accurately while the integral mathematical model could predict the dispersion process more quickly.