.png){kind=icon}
返回
Velocity model estimation with data-derived wavefront attributes
.png){kind=icon}
PRE
AI
DOI：10.1190/1.1649394.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Kinematic information for constructing velocity models can be extracted in a robust way from seismic prestack data with the common-reflection-surface (CRS) stack. This data-driven process results, in addition to a simulated zero-offset section, in a number of wavefront attributes-wavefront curvatures and normal ray emergence angles-associated with each simulated zero-offset sample. A tomographic inversion method is presented that uses this kinematic information to determine smooth, laterally heterogeneous, isotropic subsurface velocity models for depth imaging. The input for the inversion consists of wavefront attributes picked at a number of locations in the simulated zero-offset section. The smooth velocity model is described by B-splines. An optimum model is found iteratively by minimizing the misfit between the picked data and the corresponding modeled values.The required forward-modeled quantities are obtained during each iteration by dynamic ray tracing along normal rays pertaining to the input data points. Frechet derivatives for the tomographic matrix are calculated by ray perturbation theory. The inversion procedure is demonstrated on a 2D synthetic prestack data set.
Keyword:
SPARSE LINEAR-EQUATIONS
REFLECTION
DEPTH
LSQR
期刊
IF:
3.2
论文数:
8.4K
被引数:
3.3W
机构
暂无机构信息
引用论文
分享收藏Tillage Effects on Legume Decomposition and Transformation of Legume and Fertilizer Nitrogen-15
PREAI
分享收藏
Immunoadjuvant efficacy of plasmids with multiple copies of a CpG motif coadministrated with avian influenza vaccine in chickens.png)
Vaccine
VaccineIF0
PREAI
分享收藏Investigation on characteristics of solar cells made of MOPPV/ZnSe quantum dots composite systemMOPPV/ZnSe量子点复合体系太阳能电池特性研究
OAAI
OAAI分享收藏
查看更多内容