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，拥有我们赖以生存的能源资源、绿色经济所需的矿产资源以及帮助应对气候变化所需的碳储存地点。特别是，纽芬兰和拉布拉多省的近海边缘有潜力满足所有这些需求，此外，长期的近海勘探遗产还产生了评估利用这些资源和地点的潜力所需的数据。应对气候变化并支持加拿大的可持续未来。通过与近海行业专家（纽芬兰和拉布拉多石油和天然气公司 (OilCo)、石油地理服务 (PGS) 和 TGS 加拿大公司 (TGS)）的拟议合作，纽芬兰纪念大学的学生研究人员将开发和建立一个通过结合所有现有数据集并利用机器学习的力量来释放这些数据集的全部潜力，不断发展纽芬兰离岸模型 (CENOM)。由此产生的现代“数字孪生”离岸模型将帮助我们识别关键矿物和碳储存地点潜力更大的区域，并利用计算机重建和模拟来回顾地质时期。这些追求最终将有助于我们对大陆如何分裂和海洋盆地如何形成的基本理解。