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针对深层地震信号能量弱、频率低、可描述性差及信噪比低的特点 ,对深层地震资料的处理方法开展了研究 ,提出了采用地表一致性振幅处理技术、多域去噪技术、剩余时差校正技术、主能量优化叠加技术等进行精细处理 ,并且 ,将地质模型作为一种约束条件引入深层资料处理的整个环节 ,提高了叠加成象的精度。通过对BH、DY等地区老资料及LFJ地区深层采集资料的精细处理 ,总结出了一套提高深层资料信噪比 ,改善资料叠加成像效果的深层资料精细处理流程。
In view of the weak energy, low frequency, poor descriptivity and low signal-to-noise ratio (SNR) of deep seismic signals, the methods of processing deep seismic data are studied. The methods of surface consistency amplitude processing, multi-domain noise reduction, residual time difference Correction technology, the main energy optimization overlay technology for fine processing, and the geological model as a constraint into the whole process of deep data processing, improve the accuracy of overlay imaging. Through elaborate processing of the old data of BH, DY and other areas and the deep acquisition of data in LFJ, a set of detailed processing flow of deep data to enhance the signal-to-noise ratio of deep data and improve the effect of data overlay was summarized.