【摘要】 随着油气勘探难度不断增大,地震勘探开发工作不断深入,地震资料分辨率直接制约着油藏描述的精度。文中针对地震资料不同频带之间信噪比不同的特点,提出了基于经验模态分解的分频带预测反褶积方法。首先采用经验模态分解方法,将地震资料分解成一系列不同频率范围的分频带数据,然后,根据分频带数据的信噪比高低,分别进行不同预测步长的反褶积处理。分频带预测反褶积方法能够较好地兼顾分辨率与信噪比的关系,实现地震资料分辨率的有效提高,为储层精细描述提供高分辨率的地震资料,在地震资料试处理中取得了较好的效果。更多还原

【Abstract】 The difficulty of exploration is increasing continuously with the deepening of seismic exploration. The accuracy of reservoir characterization is restricted by seismic resolution. The method of separate frequency predictive deconvolution based on empirical mode decomposition, which compromises the seismic resolution and signal to noise ratio, is proposed aimed at the different signal to noise ratio of different separate frequency. The separate frequency seismic data are decomposed with empirical mode decomposition, and it is processed by predictive deconvolution with different deconvolution operator. The separate frequency predictive deconvolution method can effectively give consideration to the relationship between seismic resolution and signal to noise ratio and improve the seismic resolution, which provides high resolution seismic data for reservoir description. A good effect has been gotten in the trial process of seismic data.更多还原