CO2-Enhanced Gas Recovery (CO2-EGR): Multi-Scale Simulation of Rarefied Gas Flows in Porous Media

CO2 增强气体回收 (CO2-EGR)：多孔介质中稀薄气体流动的多尺度模拟

• 批准号: EP/R041938/2
• 负责人: Yonghao Zhang
• 金额: $ 21.6万
• 依托单位: University of Edinburgh
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2020
• 资助国家: 英国
• 起止时间: 2020 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FR041938%2F2
• 关键词: CO2; Enhanced; Gas; Recovery; EGR

The shale gas revolution in North America has transformed the energy sector in terms of prices, consumption, and helped to reduce CO2 emission. In the UK, unconventional gas could replace rapidly depleting North Sea reserves and help to build a stronger and more competitive economy. However, although many countries/regions want to copy this success, limited progress has been made, due to the short history of shale gas extraction (started from this century) and long production span (usually larger than 20 years) of unconventional reservoirs. The shale gas extraction process is currently trial-and-error, as limited engineering experience has been gained.To make shale gas extraction and carbon sequestration in unconventional reservoirs economical and safe, we need to quantify the gas transport in the ultra-tight porous media typically found in unconventional reservoirs. Understanding of the gas flow helps to determine the drainage area and life span of the shale formations, which leads to optimized production process. For example, we can better determine the distance between the wells to achieve the same production goal but with much reduced numbers of drilling wells and the corresponding environmental impact. We can also determine how much CO2 should be injected and how long the well should be sealed in CO2-enhanced gas recovery (CO2-EGR) stage. Finally, new gas transport results are needed to assess how much CO2 can be stored, and hence to design long-term carbon storage strategies. Experimental measurement of gas permeability is extremely difficult for ultra-tight porous media. Numerical simulation, based on digital images of shale samples, becomes key to understanding the non-trivial gas transport. This is supported by recent advances in obtaining high-resolution images of shale rocks by using Focused-Ion-Beam/Scanning Electron and Helium-Ion Microscopes. With this technology advancement, this research project will develop new kinetic models and high-performance computer codes to investigate CO2-EGR in ultra-tight porous media, where the conventional Navier-Stokes equations fail and Molecular Dynamics simulations are too expensive. Based on the digital image of shale rocks, we will investigate factors that could optimise the production process for maximum recovery of methane from shale. This fundamental research will enable us to make well-informed predictions of shale gas production rates, and, in particular, help to assess the economic and environmental value of CO2-EGR and subsequent long-term CO2 sequestration.

北美的页岩气革命在价格、消费方面改变了能源行业，并帮助减少了二氧化碳排放。在英国，非常规天然气可以取代迅速枯竭的北海天然气储备，帮助建立一个更强大、更具竞争力的经济。然而，尽管许多国家/地区想要复制这一成功，但由于页岩气开采历史较短(从本世纪开始)和非常规油藏的开采跨度较长(通常超过20年)，进展有限。由于工程经验有限，页岩气开采过程目前仍处于试错阶段。为了使非常规油气藏的页岩气开采和碳封存变得经济和安全，我们需要对非常规油气藏中常见的超致密多孔介质中的天然气运移进行量化。对气体流动的了解有助于确定页岩地层的排水面积和寿命，从而优化生产工艺。例如，我们可以更好地确定井之间的距离，以实现相同的生产目标，但钻井数量和相应的环境影响大大减少。我们还可以确定在二氧化碳提高采气(CO2-EGR)阶段应该注入多少二氧化碳和封井多长时间。最后，需要新的气体运输结果来评估可以储存多少二氧化碳，从而设计长期的碳储存战略。对于超致密的多孔介质，气体渗透率的实验测量是非常困难的。基于页岩样品数字图像的数值模拟成为理解非平凡天然气运移的关键。最近在使用聚焦离子束/扫描电子显微镜和氦离子显微镜获得页岩高分辨率图像方面的进展支持了这一点。随着这一技术的进步，本研究项目将开发新的动力学模型和高性能的计算机程序来研究超致密多孔介质中的CO2-EGR，在这种介质中，传统的Navier-Stokes方程失效，分子动力学模拟成本过高。基于页岩的数字图像，我们将研究可以优化生产过程的因素，以最大限度地从页岩中回收甲烷。这项基础性研究将使我们能够对页岩气产量做出明智的预测，特别是有助于评估二氧化碳-EGR和随后的长期二氧化碳封存的经济和环境价值。

项目成果

Kinetic modeling of nonequilibrium flow of hard-sphere dense gases

• DOI: 10.1103/physrevfluids.8.013401
• 发表时间: 2023-01
• 期刊: Physical Review Fluids
• 影响因子: 2.7
• 作者: Wei-Jen Su;L. Gibelli;Jun Li;M. Borg;Yonghao Zhang

Sound wave propagation in rarefied molecular gases

• DOI: 10.1017/jfm.2023.698
• 发表时间: 2023-10-20
• 期刊: JOURNAL OF FLUID MECHANICS
• 影响因子: 3.7
• 作者: Li，Shaokang;Su，Wei;Zhang，Yonghao
• 通讯作者: Zhang，Yonghao