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Pore Scale Characterisation of Coal: An Unconventional Challenge

机译:煤矿孔隙尺度特征:非常规挑战

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Coal seam gas is an unconventional resource for natural gas that is becoming popular due to its environmental benefit and abundance. This paper reviews recent developments on the pore-scale characterisation of coal from coal seam gas reserviors. The development of micro-computed tomography (micro-CT) imaging has enabled for the 3D characterization of the fracture system in coals. This provides detailed insights into understanding flow in these unconventional reservoirs. A novel image calibration method in which the skeleton of the fracture system is obtained from micro-CT imaging while the fracture apertures are measured from scanning electron microscopy (SEM) is described. We also show the application of micro-CT imaging for studying diffusion processes in ultralow permeability matrices and discuss the incorporation of the data into calculations of gas production from unconventional reservoirs. The extraction of statistical information from micro-CT images to reconstruct coal cleat system are also demonstrated. This technique allows for preserving the key attributes of the cleat system while the generated fracture network is not limited in terms of size nor resolution. The developments of microfluidic methods for understanding the complex displacement mechanisms in coal seams are also described. These low- cost experimental methods can provide unique information about the displacement mechanisms occurring during gas production from coal seam reservoirs. Variation of coal contact angle with pressure is analysed and results demonstrate important wettability processes that occur in coal seams. We describe numerical methods for prediction of petrophysical properties from micro-CT images of coal and discuss the associated limitations when dealing with coal samples. The paper concludes by addressing the challenges faced when characterising coal at the micro-scale and approaches for population of coal data into reservoir simulators for relaible prediction of reservoir behaviour during gas production as well as CO2 sequestration in coalbeds.
机译:煤层气是一种非常规资源,用于天然气由于其环境效益和丰富而变得流行。本文评论了最近煤层气储层煤的孔隙尺度表征的发展。微计算机断层扫描(Micro-CT)成像的开发已启用煤中裂缝系统的3D表征。这提供了对这些非常规储层的理解流程的详细见解。一种新颖的图像校准方法,其中从微型CT成像获得裂缝系统的骨架,同时从扫描电子显微镜(SEM)测量裂缝孔。我们还展示了微型CT成像用于研究超级渗透性矩阵中的扩散过程,并讨论数据纳入来自非传统水库的天然气生产计算。还证明了从微型CT图像重建煤层系统的统计信息的提取。该技术允许保留夹板系统的关键属性,而生成的裂缝网络不受大小或分辨率的限制。还描述了用于理解煤层中复杂位移机构的微流体方法的发展。这些低成本的实验方法可以提供有关在煤层储层期间出现的位移机制的独特信息。分析了煤接触角的变化,结果表明了煤层中发生的重要润湿性过程。我们描述了从煤的微型CT图像预测岩石物理性质的数值方法,并在处理煤样时讨论相关限制。本文通过解决在微尺度和煤炭数据群体中的煤炭煤炭煤层中的挑战来结束,以便在储层模拟器中进行储层模拟器,以便在天然气生产过程中的储层行为的可插拔预测以及煤层中的CO2封存。

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