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Development of geospatial clustering methods for broadband seismic-facies analysis

Development of geospatial clustering methods for broadband seismic-facies analysis
宽带地震相分析的地理空间聚类方法的开发
批准号:
514549-2017
负责人:
Wang, Xin
金额:
$4.05万
依托单位:
依托单位国家:
加拿大
项目类别:
Collaborative Research and Development Grants
财政年份:
2019
资助国家:
加拿大
项目状态:
已结题
起止时间:
2019-01-01 至 2020-12-31

项目摘要

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中文摘要
翻译
地震数据采集和地理空间信息采集是当前工程和资源勘探领域的普遍做法。当今工业的动态化要求不断地进行地震和地球测量的新技术和新方法,有效和高效的地震数据处理对工业用户群体来说是重要的。在这个项目中,我们将专注于开发有效的地球空间聚类方法和一个系统原型,以识别代表地下含量变异性的相似地震相组。该项目将为工业合作伙伴Symroc提供更好的理解和技术,了解如何从广泛的频率地震数据中有效地识别地震相。该项目将由卡尔加里大学的王欣博士团队与行业合作伙伴Symroc的合作者协调完成。该项目提供了创新的方法和独特的解决办法,可为半地震数据分析、可视化和解释提供更加系统和数据驱动的程序。它将为Symroc提供更好的地震数据处理软件解决方案。该项目提供了创新的方法和独特的解决方案,可以带来更节能、低成本和可靠的地震数据收集、集成、分析和可视化过程。所开发的方法和系统可用于自然地震研究、资源行业作业、现场监测和其他实时环境监测。该项目与联邦、省和卡尔加里大学的战略优先事项保持一致。此外,专业知识和研究经验为HQP提供了独特的培训机会。
英文摘要
Seismic data acquisition and geospatial information collection are common practice in current engineering andresource exploration fields. The dynamic nature of today's industry requires new technology and ways ofconducting seismic and geomatics survey continuously, effective and efficient seismic data processing isimportant to industry user groups. In this project, we will focus on the development of efficient geospatialclustering methods and a system prototype to identify groups of similar seismic facies to represent variability insubsurface content. The project will provide the industrial partner Symroc with a better understanding andtechnology of how to efficiently identify seismic facies from a wide range of frequency seismic data. Thisproject will be coordinated and finished by the team of Dr. Xin Wang at University of Calgary withcollaborators from the industrial partner Symroc. The project offers innovative approaches and distinctivesolutions that can lead to a more systematic and data-driven procedure for semismic data analysis, visualizationand interpretation. It will provide Symroc better software solution to process seimsmic data. The project offersinnovative approaches and distinctive solutions that can lead to more energy-efficient, low cost and reliableseismic data collection, integration, analytics and visualization process. The developed methods and system canpotentially be used to help natural earthquake studies and researches, resource industry operations, livemonitoring, and other real time environmental monitoring. This project is aligned with Federal, Provincial andthe University of Calgary strategic priorities. Additionally, the expertise and research experience providesunique training opportunities for HQP.
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Personalized Location Recommendation on Location-Based Social Networks by Efficiently Utilizing Spatio-Temporal Information
  • 批准号:
    RGPIN-2018-03916
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $6.27万
  • 财政年份:
    2022
  • 负责人:
    Wang, Xin
  • 依托单位:
Three-Dimensional Mixed-Mode Fracture Mechanics Methodologies for Structural Integrity Assessments of Welded Structures
  • 批准号:
    RGPIN-2020-06550
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.97万
  • 财政年份:
    2022
  • 负责人:
    Wang, Xin
  • 依托单位:
Personalized Location Recommendation on Location-Based Social Networks by Efficiently Utilizing Spatio-Temporal Information
  • 批准号:
    RGPIN-2018-03916
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $3.13万
  • 财政年份:
    2021
  • 负责人:
    Wang, Xin
  • 依托单位:
Three-Dimensional Mixed-Mode Fracture Mechanics Methodologies for Structural Integrity Assessments of Welded Structures
  • 批准号:
    RGPIN-2020-06550
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.97万
  • 财政年份:
    2021
  • 负责人:
    Wang, Xin
  • 依托单位:
海外基金