A Genetic Algorithm for Optimal Stratigraphic Division Using Multi-Parameter Log Data with Application to Mesozoic Strata in Jiyang Depression, Shandong
详细信息
- 责任者：Zhang Zhenfei (Faculty of Earth Resources ; China University of Geosciences ; Wuhan 430074 ; China) ; Xie Zhonghuai
- 刊名：Earth Science
- 出版年：2009
- 卷期：34(4)
- 关键词：地球物理测井 ; geophysical logging ; 地层划分 ; stratigraphic classification ; 济阳坳陷 ; Jiyang Depression
- 页码：p.682-690
- 图表：3 illus., 23 refs.
- 分类号：1900
- issnNo：ISSN1000-2383
- isbnNo：CN42-1233/P
摘要
///In this paper, the authors propose a genetic algorithm for optimal stratigraphical division using multi-parameter well-log data. The algorithm incorporates the Fisher optimal division and edge detection methods into genetic searching in order to find out rapidly from a well a group of division boundaries that satisfy an optimization criterion. The optimization criterion involves the following steps: After a well (or a segment of it) is divided into a group of subsections, the total in-subsection deviation of the multi-parameter log data is minimized. Then the total inter-subsection deviation of the data is maximized, and the boundary points are to the largest extent singular points in log curves. This criterion is used to formulate the fitness function in our genetic algorithm. The authors conclude that the method is highly applicable in statratigraphic division studies in areas such as Jiyang depression, where the interested strata is deep-buried, with scarce relevant well cores, poor seismic resolution, and abundant log data.