论文成果
Goal-Oriented Inversion-Based NMO Correction Using a Convex l(2,1)-Norm
摘要:Normal moveout (NMO) correction is a routine step in seismic data processing, which has an important impact on other seismic processing procedures, seismic inversion, and interpretation. We propose a goal-oriented inversion-based NMO correction method using a convex l(2,1)-norm. The proposed method corrects the superresolution multichannel offsetdependent reflectivity rather than the bandlimited data itself sample by sample, block by block, or wavelet by wavelet. Therefore, the proposed method can essentially reduce the amplitude and even phase distortion introduced by data-based NMO correction methods in the presence of strong wavelet interference. We impose two goal-oriented constraints including both the temporal sparsity and the horizontal continuity of reflectivity, which are approximately represented by a convex l(2,1)-norm, on the geometric moveout relationship from offset-dependent trajectories to zero offsets to build a new objective function for NMO correction. The goal-desired temporal sparsity of reflectivity can induce the superresolution solution; meanwhile, the goal-desired horizontal continuity introduces a reasonable intrinsic structure to further limit the solution space and is particularly suitable to processing interfering reflections. Attributing to these two additional constraints, the new NMO correction method can flatten the interfering events and the intersecting events with favorable offset-dependent amplitude and phase variations even in the presence of noise. Synthetic and real data examples are adopted to verify the performance of our method. The results show that goal-oriented inversion-based NMO correction using the l(2,1)-norm is a potentially effective, stable, and high-quality NMO correction tool, especially for strong wavelet interference and at far offsets.
关键字:Inverse problems l(2,1)-norm normal moveout (NMO) correction seismic data sparse representations
ISSN号:1545-598X
卷、期、页:卷: 17 期: 1 页: 162-166
发表日期:2020-01-01
影响因子:3.833000
期刊分区(SCI为中科院分区):二区
收录情况:SCIE(科学引文索引网络版),EI(工程索引)
发表期刊名称:IEEE Geoscience and Remote Sensing Letters
参与作者:Shi, Peidong
通讯作者:韦婉婉,王迪
第一作者:袁三一,王尚旭
论文类型:期刊论文
论文概要:袁三一,韦婉婉,王迪,Shi, Peidong,王尚旭,Goal-Oriented Inversion-Based NMO Correction Using a Convex l(2,1)-Norm,IEEE Geoscience and Remote Sensing Letters,2020,卷: 17 期: 1 页: 162-166
论文题目:Goal-Oriented Inversion-Based NMO Correction Using a Convex l(2,1)-Norm
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