地震相技术应用实例
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摘要
本文主要通过实例介绍地震相分析技术在渤海湾地区识别三角洲、浊积体、曲流河等方面的应用效果。实际应用中,针对渤海湾地区的勘探开发目标,运用人工神经网络和主组分分析(PCA)等技术和方法,对研究区的地震道波形变化特征及其反映的地质特征进行识别和分类,得到地震相图,并结合已钻井资料和地质资料进行对比和综合分析,得到地震相对应的沉积相,进而划分有利储集相带,为研究区实施进一步勘探开发提供依据。
The paper introduced the application of seismic phase technique to recognize delta, turbidite volume and meandering river in Bohai Bay area by practical cases. In practical application, in accord- ance with exploration and development targets in Bohai Bay area, we used artificial neural network and primary compositional analysis (PCA) techniques to carry out recognition and category of the waveform-various feature of seismic traces and reflected geologic feature in studied area, obtaining seismic phase map,and in combination with drilled data and geologic data to carry out correction and integrative analysis, obtaining sedimentary facies relative to seismic phase and further dividing reservoir facies zone of interest, which provided basis for implementing next exploration and development in the studied area.
The paper introduced the application of seismic phase technique to recognize delta, turbidite volume and meandering river in Bohai Bay area by practical cases. In practical application, in accord- ance with exploration and development targets in Bohai Bay area, we used artificial neural network and primary compositional analysis (PCA) techniques to carry out recognition and category of the waveform-various feature of seismic traces and reflected geologic feature in studied area, obtaining seismic phase map,and in combination with drilled data and geologic data to carry out correction and integrative analysis, obtaining sedimentary facies relative to seismic phase and further dividing reservoir facies zone of interest, which provided basis for implementing next exploration and development in the studied area.
引文
[1]包约翰．自适应模式识别与神经网络．北京:科学出版社,1992
[2]帕拉代姆公司．Stratimagic／Seisfacies 3．0培训手册．2005
[2]帕拉代姆公司．Stratimagic／Seisfacies 3．0培训手册．2005
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