摘要
针对地质分层中人工分层的方法费时费力且主观性较强,分层效果不理想的现状,以山东省胜利油田的1号井为标准井,首先通过中值滤波法对测井数据进行分析处理,然后应用极值法和聚类分析法建立了测井曲线自动分层模型,并利用该模型对2至7号井进行了自动分层。通过图像对比,建立模型得到的自动分层结果明显优于其他分层模型的分层结果,并且与人工分层结果基本相符。该研究结果解决了以计算机自动分层来代替人工分层的实际问题,为地质勘探部门研究具有不同特点的地层及胜利油田区的资源管理与开发提供参考.
According to the present situation of time-consuming,stronger subjectivity and undesirable results on the artificial layered method in geological layer,no. 1 well in Shengli oilfield Shandong province was taken as the standard example. Firstly,the logging data were analyzed and processed by median filtering method;then the extreme value method and clustering analysis were applied;the automatic layered model of logging curve were established and the model was used to make automatic stratification for 2-7 Wells. Through the image comparison,the automatic layered results which were obtained by this model are obviously superior to those of other hierarchical models and are basically consistent with the results of artificial delamination. The practical problem was solved by computer automatic layered method instead of artificial layered method. It provides reference for the geological prospecting departments in researching strata with different characteristics,and the resource management and development in Shengli oilfields.
作者
初颖
吕堂红
CHU Ying, LV Tanghong(School of Science, Changchun University of Science and Technology, Changchun 13002)
出处
《长春理工大学学报（自然科学版）》
2017年第6期105-110,共6页
Journal of Changchun University of Science and Technology(Natural Science Edition)
基金
国家自然科学基金(10726062)
关键词
测井曲线
自动分层
极值法
聚类分析法
well logging curves
automatic layers
the extreme value method
clustering analysis
