Volumetric Flattening through Linear Inversion Scheme with Accurate Seismic Dips
详细信息
- 责任者：Wang Wei (School of Electronic and Information Engineering ; Xi’an Jiaotong University ; Xi’an 710049 ; China) ; Guo Yuhong
- 刊名：Chinese Journal of Geophysics
- 出版年：2013
- 卷期：56(3)
- 关键词：地震勘探 ; seismic exploration
- 页码：p.1012-1022
- 图表：illus., 29 refs.
- 分类号：1600
- issnNo：ISSN0001-5733
- isbnNo：CN11-2074/P
摘要
Flattening seismic data is one commonly used interpretation technique that helps extracting geologic and reservoir features.Traditional approaches need to track a horizon throughout the data volume and then flatten data on the picked horizon.These approaches may produce unsatisfactory results for layers far from the referred horizon which can be avoided by volumetric flattening approaches.This paper proposes a volumetric flattening approach to automatically flatten seismic data with local seismic dips.The approach utilizes the accurate seismic dips as observation data for the flattening algorithm which are calculated by a weighted vector directional filter scheme.By considering the approximate linearity relationship between vertical flattening shifts and local dips,a least-squares inversion model is established.Several optimization strategies are taken into account for this inversion problem.An error mask calculated by gradient structure tensor is included to reduce influences of structural complexities such as faults.And a regularization term measuring vertical smoothness of the model is added to diminish waveform distortion of flattened data.Besides,model reparameterization is also adopted to accelerate the convergence of the conjugate-gradient algorithm.Both the synthetic and real data examples illustrate that the proposed approach is feasible and effective.