GRAM - Gravity for Rivers, Agriculture and Mines

GRAM - 河流、农业和矿山的重力

• 批准号: EP/R020035/1
• 负责人: Nicole Metje
• 金额: $ 20.05万
• 依托单位: University of Birmingham
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2017
• 资助国家: 英国
• 起止时间: 2017 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FR020035%2F1
• 关键词: GRAM; Gravity; Rivers; Agriculture; Mines

The coming gravity sensors based on Quantum Technologies (QT) have the potential to disrupt existing surveying practices through dramatically improved measurement sensitivities. GRAM is a collaboration between e2v, RSK, the Canal & River Trust, the Coal Authority, Cranfield University and the University of Birmingham (UoB) to establish the Quantum Technology (QT) gravity sensor market opportunities against assessment of current geophysical technologies to determine soil compaction for precision agriculture, detection of water levels in disused mines and mineshafts and canal & river embankment leak detection. GRAM will baseline the capabilities of existing sensor technologies in the sectors identified, provide technical specification and performance requirements to the manufacturers of prototype and commercial QT gravity sensors and establish a market pull from the end users of the information generated by the sensors. Moreover, it will provide a market sizing and market penetration assessment to determine the size of the potential markets, analyse the competitors and determine the cost brackets for each of the three applications together with expected survey methodologies.Currently, geophysical sensors are commercially used in the three application areas, but they suffer either from localised in-situ installation (e.g. Earth Resistivity Tomography probes), thus not being able to cover large areas, depth penetration and resolution (e.g. Ground Penetrating Radar, Scintrex microgravity instrument) or contain a radioactive source (nuclear density gauges). This limits proactive asset management (earthworks), safe developments of brownfield sites and large infrastructure projects such as HS2 due to unforeseen ground conditions (mines/mineshafts) and increased food production due to poor soil health (precision agriculture). QT gravity sensors have the potential to provide information on water flow, water levels and soil compaction. GRAM will open up these new markets by: 1) Establishing the market potential for QT gravity sensors for leakages through earthworks, water level detection in mines/mineshafts and determination of soil compaction by benchmarking it against the most advanced state-of-the-art geophysical instrumentation currently used in these sectors; 2) Develop novel forward modelling and inversion techniques post-processing techniques to identify the signal of interest and demonstrate the potential of QT sensors; 3) Undertake field trials to demonstrate the real-world capabilities and limitations of existing sensors to identify the operational space for QT sensors; 4) Assess the market of QT gravity instruments in these applications and 5) Develop sensor specifications for the three applications. GRAM will accelerate the commercialisation of QT gravity instruments in two ways: 1) ensuring that the sensor development and system engineering efforts produces instruments that are fit for purpose by providing sensor configuration and performance parameters with particular focus on time-lapse assessment and 2) increasing the marketplace for the sensors by engagement with a new client base not yet familiar with QT sensors, excellent dissemination activities, and practical field demonstrations.

基于量子技术（QT）的重力传感器有可能通过大大提高测量敏感性来破坏现有的测量实践。 Gram是E2V，RSK，运河和河流信托，煤炭管理局，克兰菲尔德大学和伯明翰大学（UOB）之间的合作，以建立量子技术（QT）重力传感器市场机会，反对评估当前的地球物理技术以确定精确农业的土壤压实，检测水位漏水水平和矿山和矿山的漏洞和河流和河流和河流和河流和河流的分类。 GRAM将在确定的扇区中现有传感器技术的功能，为原型和商业QT重力传感器的制造商提供技术规范和性能要求，并从传感器生成的信息的最终用户中建立市场。 Moreover, it will provide a market sizing and market penetration assessment to determine the size of the potential markets, analyse the competitors and determine the cost brackets for each of the three applications together with expected survey methodologies.Currently, geophysical sensors are commercially used in the three application areas, but they suffer either from localised in-situ installation (e.g. Earth Resistivity Tomography probes), thus not being able to cover large areas, depth penetration and resolution （例如，地面穿透雷达，Scintrex微重力仪器）或包含放射性源（核密度测量值）。这限制了积极的资产管理（土方工程），棕地遗址的安全开发以及大型基础设施项目，例如由于无法预料的地面条件（矿山/矿物类造成的地面条件）以及由于土壤健康不良（精度农业）而增加的粮食生产。 QT重力传感器有可能提供有关水流，水位和土壤压实的信息。克将通过以下方式开放这些新市场：1）建立QT重力传感器通过土方泄漏，地雷/矿壳中的水位检测以及确定土壤压实的市场潜力，通过将其与这些部门当前最先进的最先进的地球物理仪器进行基准测试； 2）开发新型的前向建模和反转技术后处理技术来识别感兴趣的信号并证明QT传感器的潜力； 3）进行现场试验，以证明现有传感器的现实能力和局限性以识别QT传感器的操作空间； 4）评估这些应用中QT重力仪器的市场和5）为​​这三个应用程序开发传感器规格。革兰氏将通过两种方式加速QT重力仪器的商业化：1）确保传感器的开发和系统工程努力通过提供传感器的配置和性能参数来生产适合目的的仪器，并特别关注延时评估，2）通过与新客户基础互动而熟悉的QT传感器的竞争，并实践dissialsival andical discortic andical discortic andical discortic and练习，并通过与新的客户相处来增加市场。

项目成果

Towards Quantum technology for borehole gravity sensors

面向钻孔重力传感器的量子技术

• 发表时间: 2021
• 作者: Jamie Vovrosh

A novel approach to reduce environmental noise in microgravity measurements using a Scintrex CG5

• DOI: 10.1016/j.jappgeo.2018.03.022
• 发表时间: 2018-05-01
• 期刊: JOURNAL OF APPLIED GEOPHYSICS
• 影响因子: 2
• 作者: Boddice, Daniel;Atkins, Phillip;Chapman, David
• 通讯作者: Chapman, David

Quantifying the effects of near surface density variation on quantum technology gravity and gravity gradient instruments

• DOI: 10.1016/j.jappgeo.2019.03.012
• 发表时间: 2019-05-01
• 期刊: JOURNAL OF APPLIED GEOPHYSICS
• 影响因子: 2
• 作者: Boddice, Daniel;Metje, Nicole;Tuckwell, George
• 通讯作者: Tuckwell, George

Quantum sensing for gravity cartography.

• DOI: 10.1038/s41586-021-04315-3
• 发表时间: 2022-03
• 期刊: Nature
• 影响因子: 64.8
• 作者: Stray B;Lamb A;Kaushik A;Vovrosh J;Rodgers A;Winch J;Hayati F;Boddice D;Stabrawa A;Niggebaum A;Langlois M;Lien YH;Lellouch S;Roshanmanesh S;Ridley K;de Villiers G;Brown G;Cross T;Tuckwell G;Faramarzi A;Metje N;Bongs K;Holynski M
• 通讯作者: Holynski M

Microgravity surveying before, during and after distant large earthquakes

遥远的大地震之前、期间和之后的微重力测量

• DOI: 10.1016/j.jappgeo.2022.104542
• 发表时间: 2022
• 期刊: Journal of Applied Geophysics
• 影响因子: 2
• 作者: Boddice D