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Spin Echo | Application of novel shimming processes for NMR measurement

Spin Echo | Application of novel shimming processes for NMR measurement
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批准号:
10089152
负责人:
金额:
$4.44万
依托单位:
依托单位国家:
英国
项目类别:
Collaborative R&D
财政年份:
2024
资助国家:
英国
项目状态:
未结题
起止时间:
2024 至 --

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中文摘要
翻译
总部位于英国的Spin Echo(SE)Limited是一家专门从事核磁共振流量测量的OEM公司,该公司与阿斯图特卓越中心合作,推动磁体匀场技术的发展,这可能会给石油和天然气、氢气运输和医疗保健领域的永久磁体Halbach阵列的应用带来革命性的变化。核磁共振是SE的基础,提供精确的流体分析,对于高效的油气和氢气集成至关重要。在A4I第10轮中,寻求了新的垫片方法,以最大限度地减少磁场误差并提高均匀性,有望在流量测量精度方面取得突破。瞄准低于500ppm的现场错误可以使可获得的、低成本的MRI扫描仪大众化,在早期疾病诊断和预防方面发挥关键作用。这种合作不仅具有改变环境、经济和医疗影响的潜力,而且旨在节省成本。提高石油和天然气的流量测量精度可以简化生产流程,大幅降低成本并改善可持续发展实践。此外,利用SE的技术将氢气整合到现有基础设施中,可以显著节省能源成本,促进氢气经济的增长。随着该项目的展开,它渴望重塑行业,同时为注重预算的行业提供可行的解决方案,从而推动全面的积极影响。
英文摘要
UK-based Spin Echo (SE) Limited, an OEM specialising in nuclear magnetic resonance (NMR) flow measurement, collaborates with the Astute Centre of Excellence to advance magnet shimming, potentially revolutionising permanent magnet Halbach arrays' applications in oil & gas, hydrogen transport, and healthcare. NMR, foundational for SE, offers precise fluid analysis, vital for efficient oil & gas and hydrogen integration. In A4I Round 10, novel shimming methods are pursued to minimise magnetic field errors and enhance homogeneity, promising a breakthrough in flow measurement accuracy. Targeting sub 500 ppm field errors could democratise accessible, low-cost MRI scanners, playing a pivotal role in early disease diagnosis and prevention.This collaboration not only holds the potential for transformative environmental, economic, and medical impacts but also aims at cost savings. Enhanced flow measurement accuracy in oil & gas could streamline production processes, leading to substantial cost reductions and improved sustainability practices. Moreover, enabling hydrogen integration into existing infrastructure with SE's technology could result in significant energy cost savings, fostering the growth of the hydrogen economy. As the project unfolds, it aspires to reshape industries while providing feasible solutions for budget-conscious industries, thereby driving a comprehensive positive impact.
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基于ECHO模型的供应链产品内分工的涌现机制及其仿真研究
  • 批准号:
    70671107
  • 项目类别:
    面上项目
  • 资助金额:
    18.5万元
  • 批准年份:
    2006
  • 负责人:
    周庆
  • 依托单位: