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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)有限公司是一家专门从事核磁共振(NMR)流量测量的OEM公司,该公司与Astute卓越中心合作,推进磁铁摆波,有望彻底改变永磁Halbach阵列在石油和天然气、氢气运输和医疗保健领域的应用。NMR是SE的基础,提供精确的流体分析,对于高效的油气和氢集成至关重要。在A4I Round 10中,采用了新颖的摆振方法,以尽量减少磁场误差并增强均匀性,有望在流量测量精度方面取得突破。以低于500ppm的现场误差为目标可以普及可获得的低成本MRI扫描仪,在早期疾病诊断和预防中发挥关键作用。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。提高油气流量测量精度可以简化生产过程,从而大幅降低成本,提高可持续性。此外,利用SE的技术将氢整合到现有的基础设施中,可以节省大量的能源成本,促进氢经济的发展。随着项目的展开,它渴望重塑行业,同时为预算敏感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: