首页> 外文会议>International pipeline conference >LABORATORY AND NUMERICAL SIMULATIONS OF PIPELINE LEAKAGE BEHAVIOUR; VOLATILE ORGANIC COMPOUND (VOC) MIGRATION THROUGH POROUS MEDIA AND SUBSEQUENT ATMOSPHERIC DISPERSION
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LABORATORY AND NUMERICAL SIMULATIONS OF PIPELINE LEAKAGE BEHAVIOUR; VOLATILE ORGANIC COMPOUND (VOC) MIGRATION THROUGH POROUS MEDIA AND SUBSEQUENT ATMOSPHERIC DISPERSION

机译:管道泄漏行为的实验室和数值模拟;通过多孔介质的挥发性有机化合物(VOC)迁移和随后的大气扩散

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The transport of diluent (i.e. condensate blend) and/or diluted bitumen (i.e. dilbit) using buried pipelines is common practice. Aerial surveys are conducted on a regular basis as a part of the leak detection strategy at Enbridge Pipelines. During these surveys, the pilot flies over the right-of-way to visually inspect the pipeline for leakage along the pipeline corridor. Beyond visual inspection, the detection of proximal indicators of leakage by using remote sensors mounted on the aircraft is proposed in order to further enhance visual aerial leak detection methods. These sensors are designed to detect volatile organic compounds (VOCs) which are expected to evolve, even from small liquid leaks within the shallow subsurface and subsequently reach the atmosphere. If these VOCs can be detected in the local atmosphere in the vicinity of a leak during aerial surveys, then small liquid leaks may be more easily identified, characterized and remediated. This study is aimed to characterize and model VOC movement through soil to quantify the amount of VOC concentration expected to diffuse into the atmosphere within the vicinity of leakage. The experimental study consisted of the characterization of three organic fluids, and one type of soil material representative of that used in pipeline construction. Two types of dilbit with different viscosities, as well as a typical diluent (i.e. condensate), were used because these types of organic fluids are commonly transported using pipelines. Batch laboratory tests were conducted using glass screw top vessels in order to determine the concentration and organic species evolving from these fluids. Headspace VOC and other gas species were characterized after 24 hours following the addition of the fluid to the sealed vessel. Custom designed laboratory- based columns were constructed, based upon scaled down field dimensions, and were used to simulate fluid leakage. Fluid was injected at the base of each column, over which porous media was suspended. Each test characterized the migration of VOCs through the porous medium, VOC breakthrough at the surface and data allowed the calculation of VOC flux into the overlying headspace. Columns were operated under closed and flow through modes. Data obtained from the laboratory experiments defined bounding parameters for numerical simulations comprising of decoupled subsurface and atmospheric models. Subsurface modelling of the experimentally simulated leakage event was refined and validated using experimental data and a larger scale field leak scenario was modeled. Data from the laboratory testing and subsurface numerical simulations was used to construct atmospheric dispersion models of a potential field leak simulation. All atmospheric dispersion modelling used a Gaussian Dispersion Model within the Polair Software package (Odotech Inc.).
机译:使用地下管道运输稀释剂(即冷凝水混合物)和/或稀释的沥青(即dilbit)是很常见的做法。作为Enbridge Pipelines泄漏检测策略的一部分,定期进行空中测量。在这些调查中,飞行员飞越通行权,目视检查管道沿管道走廊的泄漏情况。除了视觉检查之外,还提出了通过使用安装在飞机上的远程传感器来检测近端泄漏指示器的方法,以进一步增强视觉空中泄漏检测方法。这些传感器旨在检测挥发性有机化合物(VOC),这些挥发性有机化合物甚至会因浅地下表面的少量液体泄漏而扩散到大气中。如果在航空测量过程中可以在泄漏附近的当地大气中检测到这些VOC,则可以更容易地识别,表征和补救小的液体泄漏。这项研究旨在表征和模拟土壤中挥发性有机化合物的运动,以量化预期泄漏到泄漏附近大气中的挥发性有机化合物的浓度。实验研究包括三种有机流体的表征,以及代表管道建设中使用的一种土壤材料。使用两种类型的具有不同粘度的稀释剂以及典型的稀释剂(即冷凝液),因为这些类型的有机流体通常是通过管道运输的。使用玻璃螺旋顶部容器进行了分批实验室测试,以确定从这些液体中逸出的浓度和有机物。在将流体添加到密封容器后的24小时后,对顶空VOC和其他气体种类进行了表征。基于按比例缩小的字段尺寸,构建了定制设计的基于实验室的色谱柱,并用于模拟流体泄漏。在每根色谱柱的底部注入流体,并在其上悬浮多孔介质。每个测试的特征都是挥发性有机化合物通过多孔介质的迁移,表面挥发性有机化合物的突破以及数据,这些数据可以计算出挥发性有机化合物进入上层顶空的通量。色谱柱在封闭和流通模式下运行。从实验室实验中获得的数据为包括去耦的地下模型和大气模型在内的数值模拟定义了边界参数。使用实验数据完善和验证了实验模拟泄漏事件的地下建模,并对大型现场泄漏情景进行了建模。来自实验室测试和地下数值模拟的数据用于构建潜在场泄漏模拟的大气扩散模型。所有大气色散模型都使用Polair软件包(Odotech Inc.)中的高斯色散模型。

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