Autonomous Techniques for anthropogenic Structure Ecological Assessment (AT-SEA)
Autonomous Techniques for anthropogenic Structure Ecological Assessment (AT-SEA)
批准号:
NE/T010649/1
负责人:
Daniel Jones
金额:
$61.26万
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2021
资助国家:
英国
项目状态:
未结题
起止时间:
2021 至 --
中文摘要
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英文摘要
Thousands of Oil & Gas industry structures in the sea are approaching the end of their lives. At this time, they typically need to be removed and the environment returned to a safe state. This process is known as decommissioning. As many of these sites are old (typically 20+ years) and originally were drilled before the current environmental regulations existed, there has often been some contamination of the seabed around these sites. To ensure that no harmful effects will occur, decommissioning operations need to be supported by an environmental assessment and subsequent monitoring. Monitoring may be required over many years after decommissioning, especially if some structures are left in place. Monitoring surveys in the offshore environment are expensive and time-consuming, requiring ships and many specialist seagoing personnel. This requirement, although vital, will have a considerable cost for industry and the public.Ocean robots, which use computer systems to carry out survey missions by themselves, are regularly used in detailed scientific assessments of the environment. As they collect very high-quality data quickly, such robots have recently been adopted for some tasks by industry but these still require an expensive support ship as they are not capable of long-range missions. Recent technological developments have cut the cost and expanded the range of these robots to thousands of kilometres, making it possible for long-range assessments of multiple sites to be undertaken with a robot launched from the shore. This would have many advantages, improving the quality and quantity of environmental information while cutting the costly requirement for a survey ship and crew. We will carry out the first fully autonomous environmental assessment of multiple decommissioning sites. The Autosub long-range ocean robot submarine ("Boaty McBoatface") will be launched from the shore in Shetland, visit and carry out an environmental assessment at three decommissioning sites in the northern North Sea, before returning around 10 days later with the detailed survey information onboard. The robot will take photographs of the seabed, and these will be automatically stitched together to make a map of the seafloor, structures present, and the animals that live there. Established sensor systems will measure a range of properties of the water, including the presence of oil and gas. As well as the decommissioned sites, the robot will visit a special marine protected area where we know there are natural leaks of gas, to check the robot can reliably detect a leak if it did occur.On return to shore, the project will examine all the data obtained and compare it to that gathered using standard survey ship methods. We will test if the same environmental trends can be identified from both datasets to determine if the automated approach would be a suitable replacement for standard survey ship operations. The project will also produce a fully documented case study, which includes detailed information on the costs and benefits, practical information on deployments and approaches to reduce the risks and improve the efficiency of operations. This will be used by industry, scientists and government regulators, to demonstrate the techniques and will provide the necessary information to potential users to aid in their adoption. The overall goal of the project is to improve the environmental protection of the North Sea at a reduced cost and to demonstrate how this leading UK robotic technology could be used worldwide.
期刊论文(2)
专著(0)
科研奖励(0)
会议论文
Visualizing Multi-Hectare Seafloor Habitats with BioCam
使用 BioCam 可视化数公顷的海底栖息地
DOI:
10.5670/oceanog.2021.supplement.02-34
发表时间:
2021
期刊:
Oceanography
影响因子:
2.8
作者:
[Thornton B]
通讯作者:
Thornton B
Insights from the management of offshore energy resources: Toward an ecosystem-services based management approach for deep-ocean industries
近海能源管理的见解:针对深海产业建立基于生态系统服务的管理方法
DOI:
10.3389/fmars.2022.994632
发表时间:
2023
期刊:
Frontiers in Marine Science
影响因子:
3.7
作者:
[Bravo M]
通讯作者:
Bravo M
Conference: Rocky Mountain Geobiology Symposium 2024
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批准号:2417156
-
项目类别:Standard Grant
-
资助金额:$0.85万
-
财政年份:2024
-
负责人:Daniel Jones
-
依托单位:
The Gulf Stream control of the North Atlantic carbon sink
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批准号:NE/W009579/1
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项目类别:Research Grant
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资助金额:$50.74万
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财政年份:2023
-
负责人:Daniel Jones
-
依托单位:
CAREER: Do microbes form caves? Sulfide oxidation and limestone corrosion in sulfuric acid caves
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批准号:2239710
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项目类别:Continuing Grant
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资助金额:$90.89万
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财政年份:2023
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负责人:Daniel Jones
-
依托单位:
EAGER: DCL: SaTC: Enabling Interdisciplinary Collaboration: Inoculation vs. education: the role of real time alerts and end-user overconfidence
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批准号:2210198
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项目类别:Standard Grant
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资助金额:$29.99万
-
财政年份:2022
-
负责人:Daniel Jones
-
依托单位:
Collaborative Research: RESEARCH-PGR: Comparative genomics of the capitulum: deciphering the molecular basis of a key floral innovation
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批准号:2214474
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项目类别:Standard Grant
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资助金额:$75.2万
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财政年份:2022
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负责人:Daniel Jones
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依托单位:
Seabed Mining And Resilience To EXperimental impact
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批准号:NE/T003537/1
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项目类别:Research Grant
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资助金额:$200.76万
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财政年份:2021
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负责人:Daniel Jones
-
依托单位:
Advaenced state estimats of the ocean and cryosphere: innovative new tools to better understand, predict, and prepare for sea level changes
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批准号:MR/T020822/1
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项目类别:Fellowship
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资助金额:$93.9万
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财政年份:2020
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负责人:Daniel Jones
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依托单位:
NSF Postdoctoral Fellowship in Biology FY 2019: Deciphering CLE Peptide Signaling Pathways in Sunflower (Helianthus annuus)
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批准号:1906389
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项目类别:Fellowship Award
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资助金额:$21.6万
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财政年份:2019
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负责人:Daniel Jones
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依托单位:
EVIST/HST Individual Awards
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批准号:8516282
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项目类别:Interagency Agreement
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资助金额:$0.0万
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财政年份:1985
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负责人:Daniel Jones
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依托单位:
American Chemists and the Geneva Protocol
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批准号:7614312
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项目类别:Standard Grant
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资助金额:$0.53万
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财政年份:1976
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负责人:Daniel Jones
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依托单位:
国内基金
海外基金
EstimatingLarge Demand Systems with MachineLearning Techniques
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批准号:--
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项目类别:外国学者研究基金
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资助金额:--
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批准年份:2024
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负责人:IoshuaAlex
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依托单位: