Modeling and Online Optimization of Hard Rock Drilling for Advanced Geothermal Systems

先进地热系统硬岩钻探的建模和在线优化

• 批准号: 561118-2020
• 负责人: Shor, RomanRJ
• 金额: $ 13.26万
• 依托单位: University of Calgary
• 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=746925
• 关键词: Modeling; Online; Optimization; Hard; Rock

Due to the depth of hot rock in most regions of Canada, the economic development of geothermal resources remains limited. Recent successful pilots of shallow, low temperature, geothermal energy production have validated the technology necessary for new generations of closed-loop geothermal systems, however, economic electricity production relies on the efficient drilling of igneous basement rock. There is significant experience in drilling softer sedimentary rock, but there is a gap in knowledge and experience in drilling deep wells through hard granitic formations. Allowing access to these hot basement thermal reservoirs would allow for widespread, economic development of geothermal systems. In partnership with Eavor Technology, Inc, this project aims to develop and validate (1) a hard-rock drilling model and (2) combine this model with existing, validated drillstring dynamics models to (3) develop a digital twin of a hard rock drilling system which may be used for optimization, system monitoring, and automation. Additionally, (4) fluid and thermal properties of high flow rate fluids will be investigated and (5) a data-driven model will be developed, compared, and combined with the physics derived model to extend the model capabilities. Over the course of this project, three Ph.D. students, one postdoctoral fellow, and one research associate will be trained.

由于加拿大大多数地区热岩的深度，地热资源的经济发展仍然有限。最近成功的浅水，低温，地热能生产的飞行员验证了新一代闭环地热系统所需的技术，但是，经济电力生产依赖于对火成岩地下岩石的有效钻探。在钻孔较软的沉积岩方面，有很大的经验，但是通过硬花岗岩地层钻深井的知识和经验存在差距。允许进入这些热地下室的热储层将允许地热系统的广泛经济发展。该项目与EAVOR Technology，Inc合作，旨在开发和验证（1）硬摇滚钻探模型，（2）将该模型与现有的，经过验证的钻机动力学模型相结合（3）开发可用于优化，系统监测和自动化的硬岩钻孔系统的数字双钻。此外，（4）将研究高流量流体的流体和热性能，（5）将开发，比较数据驱动的模型，并与物理派生的模型相结合以扩展模型功能。在该项目的整个过程中，三个博士学位学生，一名博士后研究员和一名研究助理将接受培训。