COLLABORATIVE RESEARCH: Stratigraphic Correlation as Constrained Optimization: Extending Graphical Correlation to N Dimensions

协作研究：地层相关性作为约束优化：将图形相关性扩展到 N 维

• 批准号: 9219764
• 负责人: William Kemple
• 金额: $ 3.6万
• 依托单位: Naval Postgraduate School
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1993
• 资助国家: 美国
• 起止时间: 1993-03-01 至 1995-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9219764&HistoricalAwards=false
• 关键词: COLLABORATIVE; RESEARCH; Stratigraphic; Correlation; Constrained

In an interdisciplinary effort among geologists and statisticians, this project seeks to improve methods of time correlation in stratigraphy. By combining the best aspects of existing methods of graphical correlation with operations research, PIs will develop a solution in the form of constrained optimization. One part of the procedure seeks the best sequence of first and last appearance events, allowing subjective judgments about quality of data; a second part positions the events along a time scale by adding simplifying assumptions about accumulation rates. Repeated, rapid trials expose the consequences of different judgments and assumptions. Procedure will be applied to a mid- Ordovician correlation problem in the Great Basin.

在地质学家和统计学家之间的跨学科努力中，该项目寻求改进地层学中的时间对比方法。通过将现有图形关联方法的最佳方面与运筹学相结合，PI将以约束优化的形式开发出解决方案。该程序的一部分寻求第一次和最后一次出现事件的最佳序列，允许对数据质量进行主观判断；第二部分通过添加关于累积率的简化假设来沿时间尺度定位事件。反复、快速的审判暴露了不同判断和假设的后果。程序将应用于大盆地中奥陶统对比问题。