H
Hongzhu Cai
Researcher at China University of Geosciences (Wuhan)
Publications - 50
Citations - 523
Hongzhu Cai is an academic researcher from China University of Geosciences (Wuhan). The author has contributed to research in topics: Discretization & Finite element method. The author has an hindex of 10, co-authored 42 publications receiving 345 citations. Previous affiliations of Hongzhu Cai include Aarhus University & University of Utah.
Papers
More filters
Journal ArticleDOI
3D controlled-source electromagnetic modeling in anisotropic medium using edge-based finite element method
TL;DR: The method uses the edge-based vector basis functions, which automatically enforce the divergence free conditions for electric and magnetic fields, which is effective in modeling the seafloor bathymetry using hexahedral mesh.
Journal ArticleDOI
Parallelized 3D CSEM modeling using edge-based finite element with total field formulation and unstructured mesh
TL;DR: An edge-based finite element method for 3D CSEM modeling which is effective in modeling complex geometry such as bathymetry and capable of dealing with anisotropic conductivity is developed.
Journal ArticleDOI
Finite-element time-domain modeling of electromagnetic data in general dispersive medium using adaptive Padé series
TL;DR: An edge-based finite-element time-domain (FETD) modeling method to simulate the electromagnetic fields in 3D dispersive medium and considers the Cole-Cole model in order to take into account the frequency-dependent conductivity dispersion.
Journal ArticleDOI
Application of Cauchy-type integrals in developing effective methods for depth-to-basement inversion of gravity and gravity gradiometry data
Hongzhu Cai,Michael S. Zhdanov +1 more
TL;DR: In this article, a 3D Cauchy-type integral representation of the potential fields is proposed to solve the problem of determining the depth to the basement in regional geophysical studies.
Journal ArticleDOI
A hybrid finite-difference and integral-equation method for modeling and inversion of marine controlled-source electromagnetic data
TL;DR: In this paper, the authors have developed a novel 3D modeling and inversion approach, which combines the advantages of the finite-difference (FD) and integral-equation (IE) methods.