摘要
本文以灰色系统理论为基础，将灰色关联度分析和滤波方法相结合，通过有效地选取已知子波模型，结合地质背景，在测区进行滑动关联滤波分析，达到较好地识别油气晕的目的。并附有Ｃ程序，实验的结果证实了该方法的可行性，对油气化探的数据处理具有参考价值。
Referring to the idea of filtering of physics and the important tool of the advanced Gray System theory—Gray correlated Analytical Method, the author analyzes the original data of geochemistry with the Sliding correlated Analytical Method to recognize the haloes of oil and gas based on the correct selection of the available wavelet model and the information of geology. A great part of the work is done by computer. This paper is of referrable value to the study of oil and gas.
出处
《物探化探计算技术》
CAS
CSCD
1997年第4期343-347,共5页
Computing Techniques For Geophysical and Geochemical Exploration
关键词
灰色系统
子波模型
滑动关联度滤波
油气晕
gray system theory, gray correlated analysis, wavelet model, sliding correlated analytical method, haloes of oil and gas
