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作者机构:School of Geophysics and Information TechnologyChina University of Geosciences Key Laboratory of Geo-detectionMinistry of EducationChina University of Geosciences
出 版 物:《Petroleum Science》 (石油科学(英文版))
年 卷 期:2013年第10卷第2期
页 面:195-204页
核心收录:
学科分类:081801[工学-矿产普查与勘探] 081802[工学-地球探测与信息技术] 08[工学] 0818[工学-地质资源与地质工程]
主 题:Thin inter-bed seismic wavelet inverse Q filtering optimum weight function harmonizerdeconvolution
摘 要:Seismic processing characterizing thickness and borders of thin inter-beds has gradually evolved fi'om post-stack migration to pre-stack migration, and the latter considers both vertical and lateral resolutions. As the key processing methods for improving vertical and lateral resolution, conventional deconvolution and pre-stack time migration (PSTM) are not simply dominated by the estimation and compression of the wavelet because of its instability. Therefbre, considering the variations of wavelet frequency belbre, during and alter PSTM can obtain good common reflection point (CRP) gathers and imaging profiles of thin inter-beds. Based on the frequency characteristics of the wavelet before, during and after PSTM, a joint high-resolution processing method for thin inter-beds is proposed in this paper, including inverse Q filtering for high-frequency compensation before PSTM, optimum weighting Kirchhoff PSTM for preserving high-frequencies during PSTM, and wavelet harmonizer deconvolution tier consistent processing and frequency-band broadening after PSTM. An application to real data characterized by mudstone beds in the Oriente Basin proved that the joint high-resolution processing method is effective for determining the thickness and borders of thin inter-beds and is favorable for subsequent reservoir prediction and seismic inversions.