Extended Reality Innovations for Reservoir Engineering
油藏工程的扩展现实创新
基本信息
- 批准号:554596-2020
- 负责人:
- 金额:$ 5.46万
- 依托单位:
- 依托单位国家:加拿大
- 项目类别:Alliance Grants
- 财政年份:2020
- 资助国家:加拿大
- 起止时间:2020-01-01 至 2021-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The primary objective of the oil and gas industry is to find hydrocarbon deposits and determine economical strategies for recovery. In pursuit of this goal, oil and gas professionals must perform complex tasks on 3D representations of the subsurface. These complex tasks also require the analysis of large quantities and varieties of data within the context of these representations. Immersive, extended reality (XR) technologies such as augmented reality (AR) and virtual reality (VR) have undergone a renaissance over the last few years and high-quality hardware is now widely available. What remains unsolved is how to apply these technologies to improve workflows in industry. Immersive applications have many benefits that are thought to be applicable to reservoir engineering. This project combines the research expertise of Dr. Zhangxing (John) Chen and Dr. Frank Maurer with the experienced team at CMG Ltd. to unlock these benefits. Dr. Chen has extensive experience in modelling and simulation for reservoir engineering, and his team has successfully developed several extended reality prototypes for reservoir engineering that have been well received by industry. Dr. Maurer brings extensive research expertise in human-computer interaction for immersive analytics applications. CMG Ltd. is a leader in the development of reservoir simulation and analysis software. This team is uniquely positioned to uncover how extended reality can provide value for the field of reservoir engineering. Their collective expertise allows them to determine the best way to apply immersive technologies effectively to reservoir engineering workflows to provide greater efficiencies when analyzing complex scientific data sets. This project will develop techniques to utilize extended reality for improved understanding of scenarios, more efficient workflows and greater collaboration while advancing the energy industry in Canada to the forefront of understanding how to apply these exciting new visual and interactive technologies to real-world problems.
石油和天然气行业的主要目标是寻找碳氢化合物沉积物并确定恢复的经济策略。为了实现这一目标,石油和天然气专业人员必须对地下的3D表示执行复杂的任务。这些复杂的任务还需要在这些表示的背景下分析大量数据和各种数据。沉浸式,扩展的现实(XR)技术,例如增强现实(AR)和虚拟现实(VR),在过去几年中已经进行了文艺复兴,并且高质量的硬件现已广泛使用。尚未解决的是如何应用这些技术来改善行业的工作流程。身临其境的应用具有许多好处,被认为适用于储层工程。该项目将Zhangxing博士(John)Chen博士和Frank Maurer博士的研究专业知识与CMG Ltd.的经验丰富的团队结合在一起,以解锁这些好处。 Chen博士在水库工程上具有丰富的建模和仿真经验,他的团队成功地开发了几种用于储层工程的扩展现实原型,这些原型已受到行业的良好接收。 Maurer博士为身临其境分析应用提供了广泛的研究专业知识。 CMG Ltd.是储层模拟和分析软件开发的领导者。该团队的独特位置可以揭示扩展现实如何为水库工程领域提供价值。他们的集体专业知识使他们能够确定有效地应用沉浸式技术的最佳方法,以在分析复杂的科学数据集时提供更大的效率。该项目将开发技术来利用扩展现实,以改善对场景,更有效的工作流程和更大的协作的理解,同时将加拿大的能源行业推进到理解如何将这些令人兴奋的新型视觉和互动技术应用于现实世界中的最前沿。
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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Chen, Zhangxing其他文献
Drug resistance reversed by silencing LIM domain-containing protein 1 expression in colorectal carcinoma
- DOI:
10.3892/ol.2014.2155 - 发表时间:
2014-08-01 - 期刊:
- 影响因子:2.9
- 作者:
Chen, Zhangxing;Zhu, Xiaosan;Liu, Xiang - 通讯作者:
Liu, Xiang
Effect of fiber orientation distribution on constant fatigue life diagram of chopped carbon fiber chip-reinforced Sheet Molding Compound (SMC) composite
- DOI:
10.1016/j.ijfatigue.2019.04.016 - 发表时间:
2019-08-01 - 期刊:
- 影响因子:6
- 作者:
Tang, Haibin;Chen, Zhangxing;Su, Xuming - 通讯作者:
Su, Xuming
Comprehensive Analysis of Gene Expression Profiles Identifies a P4HA1-Related Gene Panel as a Prognostic Model in Colorectal Cancer Patients
- DOI:
10.1089/cbr.2021.0242 - 发表时间:
2021-09-13 - 期刊:
- 影响因子:3.4
- 作者:
Chen, Zhangxing;Chen, Meiyan;Zhu, Xiaosan - 通讯作者:
Zhu, Xiaosan
Investigation of enhancing coal permeability with high-temperature treatment
高温处理提高煤透气性的研究
- DOI:
10.1016/j.fuel.2020.120082 - 发表时间:
2021-01-14 - 期刊:
- 影响因子:7.4
- 作者:
Liu, Jiang;Kang, Yili;Chen, Zhangxing - 通讯作者:
Chen, Zhangxing
Numerical Modeling of Fracture Height Propagation in Multilayer Formations Considering the Plastic Zone and Induced Stress.
- DOI:
10.1021/acsomega.2c01131 - 发表时间:
2022-05-31 - 期刊:
- 影响因子:4.1
- 作者:
Du, Juan;Chen, Xiang;Liu, Pingli;Zhao, Liqiang;Chen, Zhangxing;Yang, Jian;Chen, Weihua;Wang, Guan;Lou, Fengcheng;Miao, Weijie - 通讯作者:
Miao, Weijie
Chen, Zhangxing的其他文献
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{{ truncateString('Chen, Zhangxing', 18)}}的其他基金
Integrated Numerical Simulation for Shale Gas Reservoirs
页岩气藏综合数值模拟
- 批准号:
RGPIN-2018-04307 - 财政年份:2022
- 资助金额:
$ 5.46万 - 项目类别:
Discovery Grants Program - Individual
NSERC / Energi Simulation Industrial Research Chair in Reservoir Simulation
NSERC / Energi Simulation 油藏模拟工业研究主席
- 批准号:
365863-2017 - 财政年份:2021
- 资助金额:
$ 5.46万 - 项目类别:
Industrial Research Chairs
Development of a hybrid quantum-classical reservoir simulator and evaluation of quantum computing hardware
混合量子经典储层模拟器的开发和量子计算硬件的评估
- 批准号:
561106-2020 - 财政年份:2021
- 资助金额:
$ 5.46万 - 项目类别:
Alliance Grants
Extended Reality Innovations for Reservoir Engineering
油藏工程的扩展现实创新
- 批准号:
554596-2020 - 财政年份:2021
- 资助金额:
$ 5.46万 - 项目类别:
Alliance Grants
Integrated Numerical Simulation for Shale Gas Reservoirs
页岩气藏综合数值模拟
- 批准号:
RGPIN-2018-04307 - 财政年份:2021
- 资助金额:
$ 5.46万 - 项目类别:
Discovery Grants Program - Individual
Integrated Numerical Simulation for Shale Gas Reservoirs
页岩气藏综合数值模拟
- 批准号:
RGPIN-2018-04307 - 财政年份:2020
- 资助金额:
$ 5.46万 - 项目类别:
Discovery Grants Program - Individual
Study of additives in oil sands recovery processes
油砂回收过程中添加剂的研究
- 批准号:
518143-2017 - 财政年份:2020
- 资助金额:
$ 5.46万 - 项目类别:
Collaborative Research and Development Grants
Development of a hybrid quantum-classical reservoir simulator and evaluation of quantum computing hardware
混合量子经典储层模拟器的开发和量子计算硬件的评估
- 批准号:
561106-2020 - 财政年份:2020
- 资助金额:
$ 5.46万 - 项目类别:
Alliance Grants
NSERC / Energi Simulation Industrial Research Chair in Reservoir Simulation
NSERC / Energi Simulation 油藏模拟工业研究主席
- 批准号:
365863-2017 - 财政年份:2020
- 资助金额:
$ 5.46万 - 项目类别:
Industrial Research Chairs
Accelerating and Visualizing Machine Learning for Reservoir Simulation
加速和可视化用于油藏模拟的机器学习
- 批准号:
543869-2019 - 财政年份:2020
- 资助金额:
$ 5.46万 - 项目类别:
Collaborative Research and Development Grants
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相似海外基金
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