Continuously evolving Newfoundland offshore model

不断发展的纽芬兰离岸模式

• 批准号: 577532-2022
• 负责人: Welford, JoannaKimJK
• 金额: $ 1.75万
• 依托单位: Memorial University of Newfoundland
• 依托单位国家: 加拿大
• 项目类别: Alliance Grants
• 财政年份: 2022
• 资助国家: 加拿大
• 起止时间: 2022-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=751110
• 关键词: Continuously; evolving; Newfoundland; offshore; model

Canada is fortunate to host the energy resources that we've come to depend on to power our lives as well as the mineral resources that will be needed to green our economy and the carbon storage sites required to help tackle climate change. In particular, the offshore margins of the province of Newfoundland and Labrador have the potential to satisfy all of these needs, with the added benefit of a long legacy of offshore exploration that has generated the data necessary to evaluate the potential to employ these resources and sites to fight climate change and support a sustainable future for Canada. Through this proposed partnership with offshore industry experts (Oil and Gas Corporation of Newfoundland and Labrador (OilCo), Petroleum Geo-Services (PGS), and TGS Canada Corporation (TGS)), student researchers at Memorial University of Newfoundland will develop and build a Continuously Evolving Newfoundland Offshore Model (CENOM) by combining all of the existing datasets and using the power of machine learning to unlock the full potential of these datasets. The resulting modern-day "digital twin" offshore model will help us identify regions with enhanced potential for critical minerals and carbon storage sites, and to look back through geological time using computer reconstructions and simulations. These pursuits will ultimately contribute to our fundamental understanding of how continents break apart and ocean basins form.

加拿大很幸运能够托管我们所依靠的能源来为我们的生命提供动力，以及为了帮助应对气候变化所需的绿色经济和碳存储地点所需的矿产资源。特别是，纽芬兰省和拉布拉多省的离岸边际有可能满足所有这些需求，并带来了长期的海上探索遗产的额外好处，这已经产生了所需的数据，以评估利用这些资源和地点来抵抗加拿大的气候变化并支持加拿大的可持续未来。 Through this proposed partnership with offshore industry experts (Oil and Gas Corporation of Newfoundland and Labrador (OilCo), Petroleum Geo-Services (PGS), and TGS Canada Corporation (TGS)), student researchers at Memorial University of Newfoundland will develop and build a Continuously Evolving Newfoundland Offshore Model (CENOM) by combining all of the existing datasets and using the power of machine learning to解锁这些数据集的全部潜力。由此产生的现代“数字双胞胎”离岸模型将帮助我们确定具有关键矿物和碳存储站点潜力增强的区域，并使用计算机重建和模拟回顾地质时间。这些追求最终将有助于我们对大洲如何破裂和海洋盆地形成的基本理解。