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/R041938/1
负责人:
Lei Wu
金额:
$47.56万
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2018
资助国家:
英国
项目状态:
已结题
起止时间:
2018 至 --
中文摘要
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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.
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DOI:
10.1017/jfm.2022.186
发表时间:
2022-03
期刊:
Journal of Fluid Mechanics
影响因子:
3.7
作者:
[Baochao Shan;Peng Wang;Runxi Wang;Yonghao Zhang;Zhaoli Guo]
通讯作者:
Baochao Shan;Peng Wang;Runxi Wang;Yonghao Zhang;Zhaoli Guo
DOI:
10.1016/j.jngse.2018.10.003
发表时间:
2018-12-01
期刊:
JOURNAL OF NATURAL GAS SCIENCE AND ENGINEERING
影响因子:
--
作者:
[Germanou, Lefki, Ho, Minh Tuan, Wu, Lei]
通讯作者:
Wu, Lei
DOI:
10.1017/jfm.2020.585
发表时间:
2020-10-25
期刊:
JOURNAL OF FLUID MECHANICS
影响因子:
3.7
作者:
[Ho, Minh Tuan, Li, Jun, Zhang, Yonghao]
通讯作者:
Zhang, Yonghao
DOI:
10.1063/5.0020082
发表时间:
2020-10-01
期刊:
PHYSICS OF FLUIDS
影响因子:
4.6
作者:
[Germanou, Lefki, Ho, Minh Tuan, Wu, Lei]
通讯作者:
Wu, Lei
DOI:
10.1017/jfm.2021.338
发表时间:
2021-05
期刊:
Journal of Fluid Mechanics
影响因子:
3.7
作者:
[Qi Li;Jianan Zeng;Wei-Jen Su;L. Wu]
通讯作者:
Qi Li;Jianan Zeng;Wei-Jen Su;L. Wu
共 10 条
Kinetic Equations in Bounded Domains
-
批准号:2104775
-
项目类别:Standard Grant
-
资助金额:$22.6万
-
财政年份:2021
-
负责人:Lei Wu
-
依托单位:
CAREER: Stochastic Multiple Time-Scale Co-Optimized Resource Planning of Future Power Systems with Renewable Generation, Demand Response, and Energy Storage
-
批准号:1906532
-
项目类别:Standard Grant
-
资助金额:$8.99万
-
财政年份:2019
-
负责人:Lei Wu
-
依托单位:
Collaborative Research: Improving Energy Reliability by Co-Optimization Planning for Interdependent Electricity and Natural Gas Infrastructure Systems
-
批准号:1906780
-
项目类别:Standard Grant
-
资助金额:$19.98万
-
财政年份:2019
-
负责人:Lei Wu
-
依托单位:
US Ignite: Focus Area 1: An Integrated Reconfigurable Control and Self-Organizing Communication Framework for Advanced Community Resilience Microgrids
-
批准号:1915756
-
项目类别:Standard Grant
-
资助金额:$47.7万
-
财政年份:2019
-
负责人:Lei Wu
-
依托单位:
Collaborative Research: Real-time Investigations of Anisotropic Nanoparticle Aggregation and Consequences for Deposition in Porous Media
-
批准号:1836905
-
项目类别:Standard Grant
-
资助金额:$23.93万
-
财政年份:2019
-
负责人:Lei Wu
-
依托单位:
Asymptotic Problems with Boundary Effect in Kinetic Theory
-
批准号:1810721
-
项目类别:Standard Grant
-
资助金额:$9.14万
-
财政年份:2018
-
负责人:Lei Wu
-
依托单位:
Asymptotic Problems with Boundary Effect in Kinetic Theory
-
批准号:1853002
-
项目类别:Standard Grant
-
资助金额:$9.14万
-
财政年份:2018
-
负责人:Lei Wu
-
依托单位:
US Ignite: Focus Area 1: An Integrated Reconfigurable Control and Self-Organizing Communication Framework for Advanced Community Resilience Microgrids
-
批准号:1647135
-
项目类别:Standard Grant
-
资助金额:$60.0万
-
财政年份:2017
-
负责人:Lei Wu
-
依托单位:
Collaborative Research: Improving Energy Reliability by Co-Optimization Planning for Interdependent Electricity and Natural Gas Infrastructure Systems
-
批准号:1635339
-
项目类别:Standard Grant
-
资助金额:$20.36万
-
财政年份:2017
-
负责人:Lei Wu
-
依托单位:
CAREER: Stochastic Multiple Time-Scale Co-Optimized Resource Planning of Future Power Systems with Renewable Generation, Demand Response, and Energy Storage
-
批准号:1254310
-
项目类别:Standard Grant
-
资助金额:$40.0万
-
财政年份:2013
-
负责人:Lei Wu
-
依托单位:
Collaborative Research: Stochastic Optimization and Coordination Control of Demand Response for Enhancing the Secure and Economic Operation of Power Systems
-
批准号:1102064
-
项目类别:Standard Grant
-
资助金额:$30.77万
-
财政年份:2011
-
负责人:Lei Wu
-
依托单位:
SBIR Phase IB: Development of Miniature Endoscopic Imaging Probes for In Vivo Noninvasive Optical Imaging for Early Diagnosis of Lung Cancer
-
批准号:1003753
-
项目类别:Standard Grant
-
资助金额:$4.98万
-
财政年份:2010
-
负责人:Lei Wu
-
依托单位:
SBIR Phase I: Development of Miniature Endoscopic Imaging Probes for In Vivo Noninvasive Optical Imaging for Early Diagnosis of Lung Cancer
-
批准号:0912734
-
项目类别:Standard Grant
-
资助金额:$0.0万
-
财政年份:2009
-
负责人:Lei Wu
-
依托单位:
海外基金