mayy 发表于 2014-4-2 19:44:39

地震属性参数在煤层厚度预测中的应用

摘要: 薄煤层厚度的变化必然引起地震波场属性参数的变化。
Abstract:The changes ofthickness consequentially bring the changes of seismic wave field attributeparameter,
借鉴油气勘探中提取地震属性参数技术,
therefore, for reference abstraction seismicattributes technology is used in the course of exploration.
通过引入小波变换工具, 在不同频段提取小波域属性参数,
At the same timeintroduce wavelet transform instrument, abstracting wavelet field attributeparameter in different frequency bands,
并利用BP 神经网络技术进行多参数煤层厚度的综合预测,
and utilizeBP neural network technology proceed the aggregate prediction of themultiparameter thickness of coal seam.
经实际资料验证, 预测精度较高, 误差小于10%。
By real dataverification, the technology is feasible and the forecast with the result isless than 10% of differ.
关 键 词:小波变换; 属性参数; 神经网络; 煤厚; 预测
Key words: wavelet transform; attribute parameter; neural network;coal seam thickness; forecast
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