TY - JOUR
T1 - 2.5-D Time-Domain Seismic Wavefield Modeling in Heterogeneous Viscoelastic and Tilted Transversely Isotropic Media (2023)
AU - Won, Moosoo
AU - Zhou, Bing
AU - Liu, Xu
AU - Zemerly, Mohamed Jamal
AU - Al-Khaleel, Mohammad
AU - Riahi, Mohamed Kamel
N1 - Publisher Copyright:
© 1980-2012 IEEE.
PY - 2023
Y1 - 2023
N2 - Accurately modeling seismic wave propagation in complex subsurface structures is not only helpful to understanding seismic data and rock properties but also the fundamental part of seismic full waveform inversion to image subsurface geological structure. 3-D seismic wave modeling is often expensive due to the huge consumption of computer resources. Alternatively, an efficient and accurate 2.5-D wave modeling can be employed for obtaining the 3-D wavefield in a 2-D geological model that is often encountered in practice. We present two advanced numerical methods for the 2.5-D viscoelastic anisotropic wave modeling by integrating three innovations. First, we formulate the 2.5-D viscoelastic anisotropic wave equations, particularly for a heterogeneous tilted transversely isotropic (TTI) medium that represents many sedimentary and igneous rocks of the subsurface. Second, we extend the common memory variable method and propose a new generalized recursive convolution (RC) method to the 2.5-D wave modeling. Third, we demonstrate the real-domain fully parallelized computing of the two methods to gain high computational efficiency of wave modeling. Our calibration experiments validate the accuracy of the proposed methods, and our modeling of a benchmark geological model exhibits the capability of the proposed methods to simulate the 3-D wavefield in a complex 2-D heterogeneous viscoelastic anisotropic medium. Such robust numerical simulations may enhance the characterization of seismic wave propagation and high-resolution subsurface imaging through full-waveform inversion, which is applicable for seismic exploration, the seismological study of the earth's interior, and geohazard detection.
AB - Accurately modeling seismic wave propagation in complex subsurface structures is not only helpful to understanding seismic data and rock properties but also the fundamental part of seismic full waveform inversion to image subsurface geological structure. 3-D seismic wave modeling is often expensive due to the huge consumption of computer resources. Alternatively, an efficient and accurate 2.5-D wave modeling can be employed for obtaining the 3-D wavefield in a 2-D geological model that is often encountered in practice. We present two advanced numerical methods for the 2.5-D viscoelastic anisotropic wave modeling by integrating three innovations. First, we formulate the 2.5-D viscoelastic anisotropic wave equations, particularly for a heterogeneous tilted transversely isotropic (TTI) medium that represents many sedimentary and igneous rocks of the subsurface. Second, we extend the common memory variable method and propose a new generalized recursive convolution (RC) method to the 2.5-D wave modeling. Third, we demonstrate the real-domain fully parallelized computing of the two methods to gain high computational efficiency of wave modeling. Our calibration experiments validate the accuracy of the proposed methods, and our modeling of a benchmark geological model exhibits the capability of the proposed methods to simulate the 3-D wavefield in a complex 2-D heterogeneous viscoelastic anisotropic medium. Such robust numerical simulations may enhance the characterization of seismic wave propagation and high-resolution subsurface imaging through full-waveform inversion, which is applicable for seismic exploration, the seismological study of the earth's interior, and geohazard detection.
KW - 25-D modeling
KW - seismic waves
KW - wave attenuation
KW - wave propagation
KW - wavenumber domain
UR - http://www.scopus.com/inward/record.url?scp=85178025159&partnerID=8YFLogxK
U2 - 10.1109/TGRS.2023.3333544
DO - 10.1109/TGRS.2023.3333544
M3 - Article
AN - SCOPUS:85178025159
SN - 0196-2892
VL - 61
JO - IEEE Transactions on Geoscience and Remote Sensing
JF - IEEE Transactions on Geoscience and Remote Sensing
M1 - 4508915
ER -