Acoustic wave propagation simulation by reduced order modelling

被引:2
|
作者
Basir, Hadi Mahdavi [1 ]
Javaherian, Abdolrahim [1 ,2 ]
Shomali, Zaher Hossein [2 ,3 ]
Firouz-Abadi, Roohollah Dehghani [4 ]
Gholamy, Shaban Ali [5 ]
机构
[1] Amirkabir Univ Technol, Dept Petr Engn, Tehran 158754413, Iran
[2] Univ Tehran, Inst Geophys, Tehran 141556466, Iran
[3] Uppsala Univ, Dept Earth Sci, S-75236 Uppsala, Sweden
[4] Sharif Univ Technol, Dept Aerosp Engn, Tehran 1136511155, Iran
[5] Natl Iranian Oil Co, Explorat Directorate, Dept Geophys, Tehran 1994814695, Iran
关键词
acoustic wave propagation simulation; finite element method (FEM); reduced order modelling (ROM); seismic modelling; REDUCTION; SYSTEMS; EQUATION;
D O I
10.1071/EG16144
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
Wave propagation simulation, as an essential part of many algorithms in seismic exploration, is associated with high computational cost. Reduced order modelling(ROM) is a known technique in many different applications that can reduce the computational cost of simulation by employing an approximation of the model parameters. ROM can be carried out using different algorithms. The method proposed in this work is based on using the most important mode shapes of the model, which can be computed by an efficient numerical method. The numerical accuracy and computational performance of the proposed method were investigated over a simple synthetic velocity model and a portion of the SEG/EAGE velocity model. Different boundary conditions were discussed, and among them the random boundary condition had higher performance for applications like reverse time migration (RTM). The capability of the proposed method for RTM was evaluated and confirmed by the synthetic velocity model of SEG/EAGE. The results showed that the proposed ROM method, compared with the conventional finite element method (FEM), can decrease the computational cost of wave propagation modelling for applications with many simulations like the reverse time migration. Depending on the number of simulations, the proposed method can increase the computational efficiency by several orders of magnitudes.
引用
收藏
页码:386 / 397
页数:12
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