Gas drainage system is a critical technique to prevent gas outbursts in the underground coal mine. The leakage of gas drainage pipelines can pose serious threats to the safety production of underground mining. In this paper, a multi-factors gas drainage pipeline leakage and diffusion (GDPLD) model is proposed based on the OpenFOAM platform, which can analyze the leakage and diffusion characteristics inside the pipelines. With field measurement data in a coal mine, the GDPLD model is verified with good practicability. Furthermore, scenario analysis in the context of different leak sizes, locations, and pipeline diameters is presented to evaluate the specific characteristics of gas leakage and diffusion inside the pipeline with negative pressure. The results showed that the leakage accident close to the pump station with a large leak size and small pipeline diameter usually represents the worst case, and when gas sensors are installed downstream of the leakage location, it is helpful to realize effective detection of the leakage accident. This study can help to improve the understanding of the leakage and diffusion characteristics of gas drainage pipelines and provide technical supports for the monitoring system design of the gas drainage pipelines in underground coal mines.

瓦斯抽放系统是防止地下煤矿瓦斯突出的一项关键技术。瓦斯抽放管道的泄漏会严重威胁地下采矿的安全生产。本文基于OpenFOAM平台，提出了一种多因素的燃气排水管道泄漏扩散模型（GDPLD），可以对管道内部的泄漏扩散特征进行分析。利用煤矿现场测量数据，验证了GDPLD模型的实用性。此外，在不同泄漏尺寸，位置和管道直径的背景下，进行了情景分析，以评估负压下管道内部气体泄漏和扩散的特定特征。结果表明，靠近泵站，泄漏量大，管道直径小的泄漏事故通常是最坏的情况，当在泄漏位置下游安装气体传感器时，有助于实现泄漏事故的有效检测。 。该研究有助于增进对瓦斯抽放管道泄漏和扩散特性的了解，为地下煤矿瓦斯抽放管道监测系统设计提供技术支持。