Development of an Intelligent Aid in Lithostratigraphic Correlation

岩石地层对比智能辅助设备的开发

• 批准号: 0538227
• 负责人: Marcus Bursik
• 金额: $ 20.43万
• 依托单位: SUNY at Buffalo
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-01-15 至 2008-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0538227&HistoricalAwards=false
• 关键词: Development; Intelligent; Aid; Lithostratigraphic; Correlation; Development; Intelligent; Aid; Lithostratigraphic; Correlation

The objective of the proposed work is to develop an intelligent decision-aid system to organize and process data for stratigraphic correlation and, ultimately, interpretation of eruption patterns. The system is to be based on a relational database for data storage, and application of information processing techniques to aid in tephrostratigraphic correlation and interpretation. The direct intellectual merit of the work lies in the development of a system that can help a technical user to correlate tephra and other pyroclastic layers, and ultimately determine age and pattern of eruptions. The test area proposed for this study is the Mono-Inyo Craters, a large rhyolitic volcanic field with a complicated eruption history. By helping to organize complex, even conflicting stratigraphic data, the system will be able to aid in geological exploration of an area with a past that would otherwise be difficult to unravel. There are implications of the work for all stratigraphic studies. Although the proposed ``intelligent correlation system'' will operate on tephra data, there is nothing particular to tephra layers built into the methodology. Therefore the system should be readily transferable, and provide a correlation aid for all stratigraphers. The major broad impacts of the proposed research are thought to be primarily in the realms of the computational infrastructure for volcanology, as well as geology itself. Through open, broad dissemination of research results, the goal is to have the intelligent system described herein available for use by stratigraphers. The results of the research will be disseminated by publication in top journals, but perhaps more importantly, by open sharing of research software and techniques through the Internet.

拟议工作的目的是开发一个智能决策系统，以组织和处理地层相关性的数据，并最终解释喷发模式。 该系统将基于一个关系数据库，用于数据存储，以及信息处理技术的应用以帮助tephrospratratigraphic相关性和解释。 这项工作的直接智力优点在于开发系统，该系统可以帮助技术用户将Tephra和其他火山碎屑层关联，并最终确定喷发的年龄和模式。 该研究提出的测试区域是单元山口山口，这是一个具有复杂喷发病史的大型流纹岩火山场。 通过帮助组织复杂甚至相互矛盾的地层数据，该系统将能够帮助对过去难以解开的过去区域的地质探索。 这项工作对所有地层研究都有意义。 尽管提出的``智能相关系统''将在Tephra数据上运行，但该方法中内置的Tephra层没有什么特别的。 因此，该系统应易于转移，并为所有地层学者提供相关辅助。 拟议研究的主要广泛影响被认为主要是在火山学的计算基础设施以及地质本身的领域中。 通过对研究结果的开放，广泛的传播，目的是使本文中描述的智能系统可由地层学家使用。 研究结果将通过顶级期刊的出版物传播，但更重要的是，通过互联网公开共享研究软件和技术。