摘要
通过对小波变换算法的研究,实现了小波油气预测算法。首先对给定的数据进行小波特征参数的提取;其次进行小波参数值的分析和比较,优选油气识别之用的小波特征参数;然后进行小波特征参数的综合,并根据已知井位的油气属性,确定归类的门阀值。
This dissertation reports the realization of a wavelet algorithm for oil ＆ gas prediction through the study on wavelet transform algorithm. First, characteristic parameters of wavelet were extracted from the given data; Secondly, the analysis and comparison of the wavelet parameters are carried out in order to select optimal characteristic parameters of wavelet for oil, and gas identification; Finally ,the integration of these parameters was processed, and the threshold value in accordance to oil attributes of the given wells was determined.
出处
《计算机应用与软件》
CSCD
北大核心
2008年第10期193-195,199,共4页
Computer Applications and Software
关键词
小波变换
油气检测
小波阈值法
Wavelet transform Oil ＆ gas detection The method of wavelet threshold
