Research and application of multi-wavelet decomposition and reconstructing technology
Research and application of multi-wavelet decomposition and reconstructing technology
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发表时间：
2010
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通讯作者：
Wen Xue-kang
中科院分区：
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作者：
Wen Xue-kang
研究地震数据的多小波分解与重构技术，可以为油气储层预测提供重要的支持，在地震数据分解时，通过匹配追踪算法，将一系列不同频率的Morlet小波函数建立小波字典，在地震数据重构时，根据油气响应和地质现象的要求，首先对字典进行过滤和优化，然后，地震数据的分解与重构过程可以将时间场与时频场地震数据联合收割机结合起来进行解释，克服了对地质现象和油气藏认识的局限性。应用该技术进行储层预测和天然气识别，取得了较好的效果，预测结果与测井曲线吻合较好。
To study the multi-wavelet decomposition and reconstructing technology of seismic data can provide some important supports for predicting the oil-gas reservoir.When the seismic data are decomposed,by the arithmetic of matching pursuit,the wavelet dictionary will be established by a series of Morlet wavelet functions with various frequencies.When the seismic data are reconstructed,according to the requirement of oil-gas response and geology phenomena,the dictionary will be filtered and optimized firstly,and then,the Morlet wavelet functions will be linearly summed by the frequency attribute.The process of decomposing and reconstructing seismic data can combine the time field with the time-frequency field seismic data to interpret and overcome the cognition localization of geology phenomena and oil-gas response character in the single field.The technologies have been used to predict the reservoir and identify the gas and achieved good effects because the predictions are consistent with well loggings.