Innovative monitoring of offshore methane and hydrocarbons with miniature sensors and autonomy

利用微型传感器和自主性对近海甲烷和碳氢化合物进行创新监测

基本信息

  • 批准号:
    NE/R014922/1
  • 负责人:
  • 金额:
    $ 44.96万
  • 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

Autonomous Underwater Vehicles (AUVs) can be loaded with chemical sensors and sent on missions to conduct high-resolution surveys in the deep sea. They are of interest to the oil and gas industry, as, if fitted with the right sensors, they can be used to help monitor subsea pipelines for leaks and also pinpoint new hydrocarbon reserves under the seafloor by measuring the chemical composition (e.g. the dissolved methane concentration) of the waters above. However, AUVs are prohibitively expensive for routine monitoring and exploration, and often require a large and expensive ship to be present on the surface. A new innovation in AUV technology is the microsub. These miniature AUVs can cost about 2% of the price of a traditional large AUV and are small enough to be launched from a small inflatable boat or the shoreline. They can reach complex areas (shallow waters and reefs) that larger AUVs cannot get to, and can operate in large swarms to efficiently survey a large area. The main drawback of microsubs is that they have limited onboard space and power, meaning that many sensor systems cannot be carried. This means the measurements performed by microsubs are very basic. No methane sensors are currently available that can be deployed on microsubs. At the National Oceanography Centre in Southampton, we have developed a new miniaturised methane sensor that could be deployed on microsubs. In this project, we will adapt this sensor to be deployed on ecoSUB, a microsub developed at the NOC in partnership with Planet Ocean. We will work with BP to test the ecoSUB equipped with the methane sensor on demonstration missions, and help BP to change the way in which they perform leak detection and exploration. Detecting leaks early using microsubs will help BP reduce the cost and environmental impact of subsea pipeline leaks. More efficient exploration will reduce the cost environmental impact of searching for new oil and gas reserves.
自主水下航行器(AUV)可以装载化学传感器,并被派往深海进行高分辨率调查。石油和天然气行业对它们很感兴趣,因为如果安装了正确的传感器,它们可以用来帮助监测海底管道的泄漏,还可以通过测量上面水域的化学成分(例如溶解甲烷浓度)来查明海底新的碳氢化合物储量。然而,对于常规监测和勘探来说,AUV的成本高得令人望而却步,而且通常需要一艘昂贵的大型船只出现在水面上。AUV技术的一项新创新是微型潜艇。这些微型AUV的成本可能是传统大型AUV价格的2%左右,而且足够小,可以从小型充气船或海岸线上发射。它们可以到达大型AUV无法到达的复杂区域(浅水和珊瑚礁),并可以大规模行动,有效地调查大片区域。微型潜艇的主要缺点是它们的机载空间和动力有限,这意味着许多传感器系统无法携带。这意味着微型潜艇进行的测量是非常基本的。目前还没有可以部署在微型潜艇上的甲烷传感器。在南安普敦的国家海洋学中心,我们开发了一种新的微型甲烷传感器,可以部署在微型潜艇上。在这个项目中,我们将把这种传感器改装成部署在EcoSUB上,这是一种由NOC与Planet Ocean合作开发的微型潜艇。我们将与英国石油公司合作,在示范任务中测试配备甲烷传感器的ecoSUB,并帮助英国石油公司改变他们进行泄漏检测和勘探的方式。使用微型潜水器及早发现泄漏将有助于英国石油公司降低海底管道泄漏的成本和环境影响。更高效的勘探将降低寻找新油气储量的成本和环境影响。

项目成果

期刊论文数量(1)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
High Sensitivity All-Fibre Methane Sensor with Gas Permeable Teflon/Cryptophane-A Membrane
具有透气 Teflon/Cryptophane-A 膜的高灵敏度全纤维甲烷传感器
  • DOI:
    10.1109/cleoe-eqec.2019.8873125
  • 发表时间:
    2019
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Ismaeel R
  • 通讯作者:
    Ismaeel R
{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

Alexander David Beaton其他文献

Alexander David Beaton的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('Alexander David Beaton', 18)}}的其他基金

Innovative monitoring of offshore methane and hydrocarbons with miniature sensors and autonomy
利用微型传感器和自主性对近海甲烷和碳氢化合物进行创新监测
  • 批准号:
    NE/R014922/2
  • 财政年份:
    2019
  • 资助金额:
    $ 44.96万
  • 项目类别:
    Research Grant
CASCADA: Toxin or Treat?
CASCADA:毒素还是治疗?
  • 批准号:
    NE/S013237/2
  • 财政年份:
    2019
  • 资助金额:
    $ 44.96万
  • 项目类别:
    Research Grant
CASCADA: Toxin or Treat?
CASCADA:毒素还是治疗?
  • 批准号:
    NE/S013237/1
  • 财政年份:
    2019
  • 资助金额:
    $ 44.96万
  • 项目类别:
    Research Grant
Commercialisation of lab-on-chip technology
芯片实验室技术的商业化
  • 批准号:
    NE/R018227/1
  • 财政年份:
    2018
  • 资助金额:
    $ 44.96万
  • 项目类别:
    Research Grant

相似国自然基金

RGD-68Ga@AuNCs PET监测PRMT5通过VEGFA调节肺腺癌血管新生的功能及机制
  • 批准号:
    82372007
  • 批准年份:
    2023
  • 资助金额:
    48.00 万元
  • 项目类别:
    面上项目

相似海外基金

Development of pipeline monitoring technology for highly advanced flow assurance of offshore resources
开发管道监测技术以实现海上资源的高度先进的流量保证
  • 批准号:
    23H01621
  • 财政年份:
    2023
  • 资助金额:
    $ 44.96万
  • 项目类别:
    Grant-in-Aid for Scientific Research (B)
Offshore Wind Foundation Diagnostic Monitoring System (OFDiMoS)
海上风电基础诊断监测系统 (OFDiMoS)
  • 批准号:
    10021835
  • 财政年份:
    2022
  • 资助金额:
    $ 44.96万
  • 项目类别:
    Collaborative R&D
Health monitoring system with machine learning of offshore wind turbines in Scotland (UK) based on non-contact remote laser ablation vibration testing
基于非接触式远程激光烧蚀振动测试的苏格兰(英国)海上风力涡轮机的机器学习健康监测系统
  • 批准号:
    22KK0053
  • 财政年份:
    2022
  • 资助金额:
    $ 44.96万
  • 项目类别:
    Fund for the Promotion of Joint International Research (Fostering Joint International Research (B))
Population-based offshore wind farm fleet health monitoring and performance prediction
基于人群的海上风电场机群健康监测和性能预测
  • 批准号:
    2748351
  • 财政年份:
    2022
  • 资助金额:
    $ 44.96万
  • 项目类别:
    Studentship
Aerodynamics of Drones for Offshore Wind Farm Monitoring
用于海上风电场监测的无人机空气动力学
  • 批准号:
    2754421
  • 财政年份:
    2022
  • 资助金额:
    $ 44.96万
  • 项目类别:
    Studentship
Offshore Component Condition Monitoring via Machine Learning Enabled Smart Sensors and Low-bandwidth Data Transmission
通过支持机器学习的智能传感器和低带宽数据传输进行海上组件状态监测
  • 批准号:
    96936
  • 财政年份:
    2021
  • 资助金额:
    $ 44.96万
  • 项目类别:
    Collaborative R&D
Novel sensor-based solutions for offshore foundations health monitoring
用于海上基础健康监测的基于传感器的新型解决方案
  • 批准号:
    2597282
  • 财政年份:
    2021
  • 资助金额:
    $ 44.96万
  • 项目类别:
    Studentship
Six Axis Monitoring (SAM) local position reference system for dynamic positioning for safer offshore wind installation, servicing and maintenance operations.
六轴监控 (SAM) 本地位置参考系统用于动态定位,实现更安全的海上风电安装、维修和维护操作。
  • 批准号:
    72798
  • 财政年份:
    2020
  • 资助金额:
    $ 44.96万
  • 项目类别:
    Study
Technologies for mitigation and monitoring of environmental issues caused by floating offshore wind
缓解和监测浮动海上风电引起的环境问题的技术
  • 批准号:
    2434692
  • 财政年份:
    2020
  • 资助金额:
    $ 44.96万
  • 项目类别:
    Studentship
Unsteady aerodynamics of micro drones for Offshore Wind Farm Monitoring
用于海上风电场监测的微型无人机的非定常空气动力学
  • 批准号:
    2513204
  • 财政年份:
    2020
  • 资助金额:
    $ 44.96万
  • 项目类别:
    Studentship
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了