scale modeling
Recently Published Documents


TOTAL DOCUMENTS

2287
(FIVE YEARS 465)

H-INDEX

69
(FIVE YEARS 10)

2022 ◽  
Vol 418 ◽  
pp. 126792
Author(s):  
Blessing O. Emerenini ◽  
Hermann J. Eberl

Geophysics ◽  
2022 ◽  
pp. 1-21
Author(s):  
Qingtao Sun ◽  
Runren Zhang ◽  
Ke Chen ◽  
Naixing Feng ◽  
Yunyun Hu

Formation anisotropy in complicated geophysical environments can have a significant impact on data interpretation of electromagnetic surveys. To facilitate full 3D modeling of arbitrary anisotropy, we have adopted an h-version geometric multigrid preconditioned finite-element method based on vector basis functions. By using a structured mesh, instead of an unstructured one, our method can conveniently construct the restriction and prolongation operators for multigrid implementation, and then recursively coarsen the grid with the F-cycle coarsening scheme. The geometric multigrid method is used as a preconditioner for the biconjugate-gradient stabilized method to efficiently solve the linear system resulting from the finite-element method. Our method avoids the need of interpolation for arbitrary anisotropy modeling as in Yee’s grid-based finite-difference method, and it is also more capable of large-scale modeling with respect to the p-version geometric multigrid preconditioned finite-element method. A numerical example in geophysical well logging is included to demonstrate its numerical performance. Our h-version geometric multigrid preconditioned finite-element method is expected to help formation anisotropy characterization with electromagnetic surveys in complicated geophysical environments.


2022 ◽  
Vol 131 (1) ◽  
pp. 014902
Author(s):  
Jeffrey Asher ◽  
Ziyu Huang ◽  
Chen Cui ◽  
Joseph Wang

Author(s):  
Jing Wang ◽  
Gang Chen ◽  
Shuhai Huang ◽  
Hongming Zhang ◽  
Qiang Chen ◽  
...  

2022 ◽  
Vol 88 ◽  
pp. 100968
Author(s):  
Li Chen ◽  
An He ◽  
Jianlin Zhao ◽  
Qinjun Kang ◽  
Zeng-Yao Li ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document