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纳米尺度喉道连接页岩模型中的天然气蒸发:多尺度、多组分和多相。

Natural gas vaporization in a nanoscale throat connected model of shale: multi-scale, multi-component and multi-phase.

机构信息

Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, Ontario M5S 3G8, Canada.

出版信息

Lab Chip. 2019 Jan 15;19(2):272-280. doi: 10.1039/c8lc01053f.

Abstract

Production of hydrocarbons from shale is a complex process that necessitates the extraction of multi-component hydrocarbons trapped in multi-scale nanopores. While advances in nanofluidics have allowed researchers to probe thermodynamics and transport in single, discrete nanochannels, these studies present a highly simplified version of shale reservoirs with homogeneous pore structures and/or single-component fluid compositions. In this study, we develop and apply a 30 000-pore nanomodel that captures the inherent heterogeneity in reservoir pore sizes (100 nm pores gated by 5 nm-pores) to study vaporization of a representative natural gas hydrocarbon mixture. The nanomodel matches major North American formations in the volumetric and number contributions of the pore sizes, porosity (10.5%), and ultra-low permeability (44 nD). Combined experimental and analytical results show 3000× slower vaporization owing to the nanoscale throat bottlenecks. At low temperatures, mixture effects reduce rates further with stochastic vaporization of light components in large pores dominating. Collectively this approach captures the coupled complexity of multicomponent, multiphase fluids in multiscale geometries that is inherent to this resource.

摘要

从页岩中生产碳氢化合物是一个复杂的过程,需要提取被困在多尺度纳米孔中的多组分碳氢化合物。虽然纳流控技术的进步使得研究人员能够在单个离散纳米通道中探测热力学和输运过程,但这些研究呈现了一种高度简化的页岩储层版本,具有均匀的孔隙结构和/或单一组分的流体组成。在这项研究中,我们开发并应用了一个包含 30000 个纳米孔的模型,该模型捕捉了储层孔径(由 5nm 孔控制的 100nm 孔)的固有非均质性,以研究一种代表性的天然气碳氢化合物混合物的蒸发情况。该纳米模型在孔径的体积和数量贡献、孔隙度(10.5%)和超低渗透率(44nD)方面与主要的北美地层相匹配。实验和分析结果表明,由于纳米尺度的喉道瓶颈,蒸发速度慢了 3000 倍。在低温下,由于轻组分在大孔中的随机蒸发主导,混合物效应进一步降低了速率。总的来说,这种方法捕捉到了多组分、多相流体在多尺度几何形状中固有的耦合复杂性,这是这种资源的固有特性。

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