An integrated assessment of UK Shale resource distribution based on fundamental analyses of shale mechanical & fluid properties.

基于页岩力学基础分析的英国页岩资源分布综合评估

基本信息

  • 批准号:
    NE/R018022/1
  • 负责人:
  • 金额:
    $ 32.46万
  • 依托单位:
  • 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
  • 起止时间:
    2018 至 无数据
  • 项目状态:
    已结题

项目摘要

Shale gas has the potential to transform the UK's future energy security. With imports currently accounting for 50% of its domestic gas requirements, projected to rise to roughly 80% by 2035, the big question is 'Are there enough shale gas resources to effectively replace the declining North Sea and Irish Sea gas production, and for how long?' The largest unknown is the potential gas reserves (i.e. recoverable resources) that would be commercially viable to be produced in the UK. There have been a number of differing in-place estimates for the Upper Bowland Shale in the northern England Carboniferous, ranging from 164-447 tcf suggested by Andrews (2013), to 8-19 tcf quoted by Uguna et al. (2017). In the absence of flow test data, reliable recoverable reserves estimates could not have been published. There has been a single well test carried out by Cuadrilla in Lancashire, the results of which have not yet been made public. The industry, the scientific community, the government, and environmental scientists, have been starved of modern borehole electric log, core and well test data with which to assess both resource potential and the associated environmental impact. This is about to change, with drilling planned to take place during the course of the proposed study in Cheshire, Lancashire, North Yorkshire, and North Nottinghamshire. This research project will focus on the Carboniferous (Bowland Shale) basins of the East Midlands, Lancashire, Cheshire, and Yorkshire. The vision is of a multidisciplinary approach to solving problems in the main research focus areas set out in Challenge 2 of the NERC call. We will bring together key researchers from several institutions around the UK, working on UK shale science from the micro-pore (<10 nm) to the basin scale. Key aspects of shale mineralogy, petrology, geochemistry, stratigraphy, rock mechanics, gas generation and adsorption and fluid flow in low porosity rocks will be combined into a holistic basin-scale model to generate a better scientifically-grounded set of estimates. Key sensitivities related to input parameters will be tested, and more importantly, compared/contrasted with available production data from the planned wells. The outcome of this 4-year project will be a more scientifically defendable assessment of the location and magnitude of UK shale resources, guided by an improved understanding of the shale properties and fluid flow through the shale, before, during and following hydraulic fracturing to ascertain whether shale gas has the potential to have a marked impact on energy security in the UK for several decades into the future. This project will critically inform the key stakeholders (Government, Industry, Academia, and the general public) of UK shale potential, and will provide input to discussions on future UK energy strategy. Collaboration with those projects funded within the other Challenges in this programme will allow us to assess whether or not this resource can be accessed in a commercially viable and environmentally responsible way.ReferencesAndrews, I.J. 2013. The Carboniferous Bowland Shale: Geology and resource estimate. British Geological Survey for the Department of Energy and Climate Change, London, UK.Uguna, C., Snape, C., Vane, C., V. Moss-Hayes, V., Whitelaw, P., Stevens, L., Meredith, W. and Carr, A. 2017. Convergence of shale gas reserve estimates from a high pressure water pyrolysis procedure and gas adsorption measurements. 28th International Meeting on Organic Geochemistry, 17-22 September 2017, Florence, Italy.
页岩气有潜力改变英国未来的能源安全。目前进口占国内天然气需求的 50%,预计到 2035 年将增至约 80%,最大的问题是“是否有足够的页岩气资源来有效替代不断下降的北海和爱尔兰海天然气产量,以及如何长的?'最大的未知数是英国生产商业上可行的潜在天然气储量(即可采资源)。对英格兰北部石炭系的上鲍兰页岩有许多不同的现场估计,范围从 Andrews (2013) 建议的 164-447 tcf,到 Uguna 等人引用的 8-19 tcf。 (2017)。在没有流量测试数据的情况下,无法公布可靠的可采储量估算。 Cuadrilla 在兰开夏郡进行了一次单井测试,其结果尚未公布。业界、科学界、政府和环境科学家一直缺乏现代钻孔电测井、岩心和试井数据来评估资源潜力和相关的环境影响。这种情况即将改变,计划在柴郡、兰开夏郡、北约克郡和北诺丁汉郡进行拟议研究期间进行钻探。该研究项目将重点关注东米德兰兹、兰开夏郡、柴郡和约克郡的石炭纪(鲍兰页岩)盆地。我们的愿景是采用多学科方法来解决 NERC 征集挑战 2 中提出的主要研究重点领域的问题。我们将汇集来自英国多个机构的主要研究人员,致力于英国页岩科学从微孔隙(<10 nm)到盆地尺度的研究。页岩矿物学、岩石学、地球化学、地层学、岩石力学、气体生成和吸附以及低孔隙率岩石中的流体流动的关键方面将被整合到一个整体盆地规模模型中,以生成一套更有科学依据的估计。将测试与输入参数相关的关键敏感性,更重要的是,与计划井的可用生产数据进行比较/对比。这个为期 4 年的项目的成果将对英国页岩资源的位置和规模进行更科学、可辩护的评估,以更好地了解页岩特性和水力压裂之前、期间和之后通过页岩的流体流动为指导,以确定页岩气是否有可能在未来几十年对英国的能源安全产生显着影响。该项目将重要地向主要利益相关者(政府、工业界、学术界和公众)通报英国页岩油的潜力,并将为英国未来能源战略的讨论提供投入。与该计划中其他挑战资助的项目的合作将使我们能够评估是否可以以商业上可行且对环境负责的方式获取该资源。 2013。石炭纪 Bowland 页岩:地质和资源估算。英国能源和气候变化部地质调查局,英国伦敦。Uguna, C.、Snape, C.、Vane, C.、V. Moss-Hayes, V.、Whitelaw, P.、Stevens, L., Meredith, W. 和 Carr, A. 2017。高压水热解过程和气体吸附测量的页岩气储量估算的收敛。第 28 届国际有机地球化学会议,2017 年 9 月 17-22 日,意大利佛罗伦萨。

项目成果

期刊论文数量(9)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Determining reservoir intervals in the Bowland Shale using petrophysics and rock physics models
使用岩石物理学和岩石物理模型确定 Bowland 页岩的储层层段
  • DOI:
    10.1093/gji/ggab334
  • 发表时间:
    2021-08-20
  • 期刊:
  • 影响因子:
    2.8
  • 作者:
    I. Anderson;Jingsheng Ma;Xiaoyang Wu;D. Stow
  • 通讯作者:
    D. Stow
Bowland Shale well placement strategy - Part 1: Determining landing intervals using geomechanical properties
Bowland 页岩井布井策略 - 第 1 部分:利用地质力学特性确定着陆间隔
  • DOI:
    http://dx.10.1016/j.marpetgeo.2021.105277
  • 发表时间:
    2021
  • 期刊:
  • 影响因子:
    4.2
  • 作者:
    De Jonge
  • 通讯作者:
    De Jonge
The flow behavior of CH4 in nanopores of anthracite coal based on a non-ideal gas-flow simulation ????????????????????CH4????
基于非理想气流模拟的无烟煤纳米孔中 CH4 的流动行为 ??????????????????CH4??????
Bowland Shale well placement strategy - Part 2: Fracture simulations using a 3D geomechanical model and implications for stratigraphic and spatial horizontal well locations
Bowland 页岩井布井策略 - 第 2 部分:使用 3D 地质力学模型进行裂缝模拟以及对地层和空间水平井位置的影响
  • DOI:
    http://dx.10.1016/j.engeos.2022.03.004
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    0
  • 作者:
    De Jonge
  • 通讯作者:
    De Jonge
Assessing The Stratigraphic Variations In Geomechanical Properties Of The United Kingdom Bowland Shale Using Wireline And Seismic Data: How Could These Guide The Placement Of Lateral Wells?
使用电缆和地震数据评估英国 Bowland 页岩地质力学特性的地层变化:这些如何指导侧井的布置?
  • DOI:
    http://dx.10.15530/urtec-2019-257
  • 发表时间:
    2019
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Anderson I
  • 通讯作者:
    Anderson I
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Jingsheng Ma其他文献

Designing and implementing software for spatial statistical analysis in a GIS environment
设计和实现 GIS 环境中的空间统计分析软件
Investigation of Growth Phase-Dependent Acid Tolerance in Bifidobacterialongum BBMN68
长双歧杆菌 BBMN68 生长阶段依赖性酸耐受性的研究
  • DOI:
  • 发表时间:
    2016
  • 期刊:
  • 影响因子:
    2.6
  • 作者:
    Junhua Jin;Jingyi Song;F. Ren;Hongxing Zhang;Yuanhong Xie;Jingsheng Ma;Xue Li
  • 通讯作者:
    Xue Li
Large deviations for non-Markovian diffusions and a path-dependent Eikonal equation
非马尔可夫扩散和路径相关的 Ekonal 方程的大偏差
  • DOI:
    10.1214/15-aihp678
  • 发表时间:
    2014-07-20
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Jingsheng Ma;Zhenjie Ren;N. Touzi;Jianfeng Zhang
  • 通讯作者:
    Jianfeng Zhang
Evaluation of the toxicity of iron-ion irradiation in murine bone marrow dendritic cells via increasing the expression of indoleamine 2,3-dioxygenase 1.
通过增加吲哚胺 2,3-双加氧酶 1 的表达来评估铁离子照射对小鼠骨髓树突状细胞的毒性。
  • DOI:
    10.1039/c7tx00194k
  • 发表时间:
    2017-10-30
  • 期刊:
  • 影响因子:
    2.1
  • 作者:
    Yi Xie;Junfang Yan;Jingsheng Ma;Hongyan Li;Yancheng Ye;Yanshan Zhang;Hong Zhang
  • 通讯作者:
    Hong Zhang
Flow Simulation of Artificially Induced Microfractures Using Digital Rock and Lattice Boltzmann Methods
使用数字岩石和格子玻尔兹曼方法进行人工诱发微裂缝的流动模拟
  • DOI:
    10.3390/en11082145
  • 发表时间:
    2018-08-17
  • 期刊:
  • 影响因子:
    3.2
  • 作者:
    Yongfei Yang;Zhihui Liu;Jun Yao;Lei Zhang;Jingsheng Ma;S. Hejazi;L. Luquot;Toussaint Dono Ngarta
  • 通讯作者:
    Toussaint Dono Ngarta

Jingsheng Ma的其他文献

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{{ truncateString('Jingsheng Ma', 18)}}的其他基金

Pore-Scale Study of Gas Flows in Ultra-tight Porous Media
超致密多孔介质中气体流动的孔隙尺度研究
  • 批准号:
    EP/M02203X/1
  • 财政年份:
    2015
  • 资助金额:
    $ 32.46万
  • 项目类别:
    Research Grant
Classification of Digital Rocks by Machine Learning to Discover Micro-to-Macro Relationships and Quantify Their Uncertainty
通过机器学习对数字岩石进行分类,以发现微观到宏观的关系并量化其不确定性
  • 批准号:
    NE/H002804/1
  • 财政年份:
    2010
  • 资助金额:
    $ 32.46万
  • 项目类别:
    Research Grant

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  • 批准号:
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    2023
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相似海外基金

An integrated assessment of UK Shale resource distribution based on fundamental analyses of shale mechanical & fluid properties.
基于页岩力学基础分析的英国页岩资源分布综合评估
  • 批准号:
    NE/R018030/1
  • 财政年份:
    2018
  • 资助金额:
    $ 32.46万
  • 项目类别:
    Research Grant
Lead Doc - An integrated assessment of UK Shale resource distribution based on fundamental analyses of shale mechanical & fluid properties.
主要文件 - 基于页岩力学基本分析对英国页岩资源分布进行综合评估
  • 批准号:
    NE/R018065/1
  • 财政年份:
    2018
  • 资助金额:
    $ 32.46万
  • 项目类别:
    Research Grant
An integrated assessment of UK Shale resource distribution based on fundamental analyses of shale mechanical & fluid properties.
基于页岩力学基础分析的英国页岩资源分布综合评估
  • 批准号:
    NE/R018162/1
  • 财政年份:
    2018
  • 资助金额:
    $ 32.46万
  • 项目类别:
    Research Grant
An integrated assessment of UK Shale resource distribution based on fundamental analyses of shale mechanical & fluid properties.
基于页岩力学基础分析的英国页岩资源分布综合评估
  • 批准号:
    NE/R017883/1
  • 财政年份:
    2018
  • 资助金额:
    $ 32.46万
  • 项目类别:
    Research Grant
An integrated assessment of UK Shale resource distribution based on fundamental analyses of shale mechanical & fluid properties.
基于页岩力学基础分析的英国页岩资源分布综合评估
  • 批准号:
    NE/R017964/1
  • 财政年份:
    2018
  • 资助金额:
    $ 32.46万
  • 项目类别:
    Research Grant
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