Smart Automation for Bitumen Extraction and Oil Refining Processes
沥青提取和炼油过程的智能自动化
基本信息
- 批准号:561080-2020
- 负责人:
- 金额:$ 21.86万
- 依托单位:
- 依托单位国家:加拿大
- 项目类别:Alliance Grants
- 财政年份:2021
- 资助国家:加拿大
- 起止时间:2021-01-01 至 2022-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The unique nature of bitumen extracting and heavy oil refining operations creates a host of technical challenges that generally cannot be resolved using conventional methodologies. Rather, state-of-the-art solutions are required, and these often emerge from the collaboration between companies and academia. This motivates the university, oil sands operators and refinery operators to form a partnership through the NSERC program. Satisfied and impressed by the cutting-edge research in our past NSERC CRD and IRC programs, core organizations from oil sands and refining industries-Imperial Oil, Shell Canada and Syncrude Canada-wish to progress their collaboration with the University through the NSERC Alliance program.The goal of this partnership is three-fold: continue the research from our previous Industrial Research Chair program; establish scientific foundations for advanced control of bitumen extraction and oil refining processes; provide scientific leadership to the industry in the area of process systems engineering and associated digital transformations. A key element to achieving these goals is the advancement of automation systems. This proposal endeavours to explore advanced data analytics and machine learning technologies and apply them to process industries, potentially leading to a transformation of process control practice. Through such a collaborative research partnership program, we will assist the industries in identifying and removing factors that limit operational efficiency in all stages involved in mining, in-situ recovery, bitumen extraction, upgrading, refining and utilities, and meeting the challenges of reducing production cost and environmental impact. Our integrated program will enable collaboration with the industry to convert research outcomes into implemented solutions and train highly qualified personnel with excellent job prospects. As a result, Canada will be better positioned to meet its future energy industry needs.
沥青提取和重油精炼作业的独特性质带来了许多技术挑战,这些挑战通常无法用传统方法解决。相反,需要最先进的解决方案,而这些解决方案通常来自公司和学术界之间的合作。这促使大学、油砂运营商和炼油厂运营商通过NSERC项目建立合作伙伴关系。对我们过去的NSERC CRD和IRC项目的前沿研究感到满意和印象深刻,来自油砂和炼油行业的核心组织-帝国石油公司,壳牌加拿大公司和加拿大辛克鲁德公司-希望通过NSERC联盟项目推进与大学的合作。这次合作的目标有三个:继续我们之前的工业研究主席项目的研究;为沥青提取和炼油过程的先进控制奠定科学基础;在过程系统工程和相关数字化转型领域为行业提供科学领导。实现这些目标的一个关键因素是自动化系统的进步。本提案致力于探索先进的数据分析和机器学习技术,并将其应用于过程工业,可能导致过程控制实践的转变。通过这样的合作研究伙伴计划,我们将帮助行业识别和消除在采矿、就地回收、沥青提取、升级、精炼和公用事业等各个阶段限制运营效率的因素,并迎接降低生产成本和环境影响的挑战。我们的综合项目将与业界合作,将研究成果转化为可实施的解决方案,并培养具有良好就业前景的高素质人才。因此,加拿大将更好地满足其未来能源工业的需求。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Huang, Biao其他文献
Bayesian method for state estimation of batch process with missing data
缺失数据批处理状态估计的贝叶斯方法
- DOI:
10.1016/j.compchemeng.2013.01.011 - 发表时间:
2013-06 - 期刊:
- 影响因子:4.3
- 作者:
Zhao, Zhonggai;Huang, Biao;Liu, Fei - 通讯作者:
Liu, Fei
Puerarin inhibits EMT induced by oxaliplatin via targeting carbonic anhydrase XII.
- DOI:
10.3389/fphar.2022.969422 - 发表时间:
2022 - 期刊:
- 影响因子:5.6
- 作者:
Chen, Xindong;Zhou, Zhiruo;Zhang, Zhi;Zhao, Chenhao;Li, Jiayu;Jiang, Jingwen;Huang, Biao;Qin, Yuan - 通讯作者:
Qin, Yuan
miR21 modulates the Hippo signaling pathway via interference with PP2A Bβ to inhibit trophoblast invasion and cause preeclampsia.
- DOI:
10.1016/j.omtn.2022.09.006 - 发表时间:
2022-12-13 - 期刊:
- 影响因子:0
- 作者:
Hu, Mingyu;Zheng, Yangxi;Liao, Jiujiang;Wen, Li;Cheng, Juan;Huang, Jiayu;Huang, Biao;Lin, Li;Long, Yao;Wu, Yue;Ye, Xuan;Fu, Yong;Qi, Hongbo;Baker, Philip N.;Tong, Chao - 通讯作者:
Tong, Chao
Differentiation of Meningiomas and Gliomas by Amide Proton Transfer Imaging: A Preliminary Study of Brain Tumour Infiltration.
- DOI:
10.3389/fonc.2022.886968 - 发表时间:
2022 - 期刊:
- 影响因子:4.7
- 作者:
Zhang, Han-Wen;Liu, Xiao-Lei;Zhang, Hong-Bo;Li, Ying-Qi;Wang, Yu-li;Feng, Yu-Ning;Deng, Kan;Lei, Yi;Huang, Biao;Lin, Fan - 通讯作者:
Lin, Fan
A decoupled multiple model approach for soft sensors design
- DOI:
10.1016/j.conengprac.2010.10.006 - 发表时间:
2011-02-01 - 期刊:
- 影响因子:4.9
- 作者:
Domlan, Elom;Huang, Biao;Espejo, Aris - 通讯作者:
Espejo, Aris
Huang, Biao的其他文献
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{{ truncateString('Huang, Biao', 18)}}的其他基金
Robust Process Identification with Dynamic Feature Analysis
通过动态特征分析进行鲁棒过程识别
- 批准号:
RGPIN-2017-03833 - 财政年份:2021
- 资助金额:
$ 21.86万 - 项目类别:
Discovery Grants Program - Individual
Robust Process Identification with Dynamic Feature Analysis
通过动态特征分析进行鲁棒过程识别
- 批准号:
RGPIN-2017-03833 - 财政年份:2020
- 资助金额:
$ 21.86万 - 项目类别:
Discovery Grants Program - Individual
NSERC Industrial Research Chair in Control of Oil Sands Processes
NSERC 油砂过程控制工业研究主席
- 批准号:
417793-2015 - 财政年份:2020
- 资助金额:
$ 21.86万 - 项目类别:
Industrial Research Chairs
NSERC Industrial Research Chair in Control of Oil Sands Processes
NSERC 油砂过程控制工业研究主席
- 批准号:
417793-2015 - 财政年份:2019
- 资助金额:
$ 21.86万 - 项目类别:
Industrial Research Chairs
Robust Process Identification with Dynamic Feature Analysis
通过动态特征分析进行鲁棒过程识别
- 批准号:
RGPIN-2017-03833 - 财政年份:2019
- 资助金额:
$ 21.86万 - 项目类别:
Discovery Grants Program - Individual
Robust Process Identification with Dynamic Feature Analysis
通过动态特征分析进行鲁棒过程识别
- 批准号:
RGPIN-2017-03833 - 财政年份:2018
- 资助金额:
$ 21.86万 - 项目类别:
Discovery Grants Program - Individual
NSERC Industrial Research Chair in Control of Oil Sands Processes
NSERC 油砂过程控制工业研究主席
- 批准号:
417793-2015 - 财政年份:2018
- 资助金额:
$ 21.86万 - 项目类别:
Industrial Research Chairs
Robust Process Identification with Dynamic Feature Analysis
通过动态特征分析进行鲁棒过程识别
- 批准号:
RGPIN-2017-03833 - 财政年份:2017
- 资助金额:
$ 21.86万 - 项目类别:
Discovery Grants Program - Individual
NSERC Industrial Research Chair in Control of Oil Sands Processes
NSERC 油砂过程控制工业研究主席
- 批准号:
417793-2015 - 财政年份:2017
- 资助金额:
$ 21.86万 - 项目类别:
Industrial Research Chairs
Control Loop Performance Diagnosis in the Presence of Uncertainties
存在不确定性时的控制回路性能诊断
- 批准号:
203057-2012 - 财政年份:2016
- 资助金额:
$ 21.86万 - 项目类别:
Discovery Grants Program - Individual
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