摘要
煤田地震岩性解释普遍采用波阻抗反演技术和地震属性技术,二者的共同缺陷是无法把握地震信号的总体变化及其分布规律。基于波形的地震相分析技术综合利用了地震波的频率、相位、速度、能量等各种信息,即基于地震信号的整体差异进行分类。把地震相分析技术引入煤田三维地震资料岩性解释中,在确定煤层中火成岩侵入范围中取得了初步地质成果。
In coal lithology interpretation,the impedance inversion and seismic attribute techniques are usually used.However,the problem is that the overall variations and distributions of seismic signal are always missed.The seismic faces analysis,based on waveform,utilizes all kinds of seismic information,including frequency,phase,velocity and energy,and classifies seismic faces according to the whole difference of seismic signal.This paper has introduced seismic faces analysis methods into 3D seismic lithology interpretation of coal mine,meanwhile,several pilot geological achievements have been made in magmatic delineation of instruction zones.
出处
《煤田地质与勘探》
CAS
CSCD
北大核心
2010年第5期58-60,66,共4页
Coal Geology & Exploration
基金
国家重点基础研究发展计划(973计划)项目(2007CB209400)
国家自然科学基金项目(40874054)
关键词
地震相分析
岩性
地震属性
人工神经网络
seismic faces analysis
lithology
seismic attributes
artificial neural network
