An efficient method of 3-D elastic full waveform inversion using a finite-difference injection method for time-lapse imaging

被引:26
作者
Borisov, Dmitry [1 ]
Singh, Satish C. [1 ]
Fuji, Nobuaki [1 ,2 ]
机构
[1] Inst Phys Globe Paris, Lab Geosci Marines, Paris, France
[2] Inst Phys Globe Paris, Sismol Lab, F-75252 Paris, France
关键词
Inverse theory; Computational seismology; Wave propagation; SEISMIC-REFLECTION DATA; UPPER-MANTLE STRUCTURE; SPECTRAL ELEMENT; MODAL SOLUTION; PRIOR MODEL; TOMOGRAPHY; VELOCITY; PROPAGATION; FIELD; SCATTERING;
D O I
10.1093/gji/ggv268
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
Seismic full waveform inversion is an objective method to estimate elastic properties of the subsurface and is an important area of research, particularly in seismic exploration community. It is a data-fitting approach, where the difference between observed and synthetic data is minimized iteratively. Due to a very high computational cost, the practical implementation of waveform inversion has so far been restricted to a 2-D geometry with different levels of physics incorporated in it (e.g. elasticity/viscoelasticity) or to a 3-D geometry but using an acoustic approximation. However, the earth is three-dimensional, elastic and heterogeneous and therefore a full 3-D elastic inversion is required in order to obtain more accurate and valuable models of the subsurface. Despite the recent increase in computing power, the application of 3-D elastic full waveform inversion to real-scale problems remains quite challenging on the current computer architecture. Here, we present an efficient method to perform 3-D elastic full waveform inversion for time-lapse seismic data using a finite-difference injection method. In this method, the wavefield is computed in the whole model and is stored on a surface above a finite volume where the model is perturbed and localized inversion is performed. Comparison of the final results using the 3-D finite-difference injection method and conventional 3-D inversion performed within the whole volume shows that our new method provides significant reductions in computational time and memory requirements without any notable loss in accuracy. Our approach shows a big potential for efficient reservoir monitoring in real time-lapse experiments.
引用
收藏
页码:1908 / 1922
页数:15
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