CO2-Enhanced Gas Recovery (CO2-EGR): Multi-Scale Simulation of Rarefied Gas Flows in Porous Media
CO2-Enhanced Gas Recovery (CO2-EGR): Multi-Scale Simulation of Rarefied Gas Flows in Porous Media
批准号:
EP/R041938/2
负责人:
Yonghao Zhang
金额:
$21.6万
依托单位:
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
项目状态:
已结题
起止时间:
2020 至 --
中文摘要
北美的页岩气革命在价格、消费方面改变了能源行业,并有助于减少二氧化碳排放。在英国,非常规天然气可能取代迅速枯竭的北海储量,并有助于建立一个更强大、更具竞争力的经济。然而,尽管许多国家/地区希望复制这一成功,但由于页岩气开采历史较短(从本世纪开始),非常规储层的生产周期较长(通常大于20年),因此取得的进展有限。页岩气的开采过程目前处于试错阶段,工程经验有限。为了使非常规储层中页岩气的开采和碳封存经济、安全,我们需要量化非常规储层中常见的超致密多孔介质中的气体输送。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,同时大大减少钻井数量和相应的环境影响。我们还可以确定在二氧化碳增强气采阶段(CO2- egr)应该注入多少二氧化碳以及应该密封多长时间。最后,需要新的天然气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策略。对于超致密多孔介质,气体渗透性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是理解页岩非平凡气体输运的关键。利用聚焦离子束/扫描电子和氦离子显微镜获得页岩高分辨率图像的最新进展支持了这一观点。随着这项技术的进步,该研究项目将开发新的动力学模型和高性能计算机代码,以研究超致密多孔介质中的CO2-EGR,在这些介质中,传统的Navier-Stokes方程失效且分子动力学模拟过于昂贵。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开采甲烷。这项基础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CO2- egr的经济和环境价值,以及随后的长期二氧化碳封存。
英文摘要
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.
期刊论文(2)
专著(0)
科研奖励(0)
会议论文
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]
通讯作者:
Wei-Jen Su;L. Gibelli;Jun Li;M. Borg;Yonghao Zhang
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
Pore-Scale Study of Gas Flows in Ultra-tight Porous Media
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批准号:EP/M021475/1
-
项目类别:Research Grant
-
资助金额:$48.38万
-
财政年份:2015
-
负责人:Yonghao Zhang
-
依托单位:
Multiscale Simulation of Micro and Nano Gas Flows
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批准号:EP/I036117/1
-
项目类别:Research Grant
-
资助金额:$44.94万
-
财政年份:2011
-
负责人:Yonghao Zhang
-
依托单位:
Novel Multi-relaxation-time High-order Models for Lattice Boltzmann Simulation of Non-equilibrium Gas Flows
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批准号:EP/F028865/1
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项目类别:Research Grant
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资助金额:$31.91万
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财政年份:2008
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负责人:Yonghao Zhang
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依托单位:
海外基金