ModelSeis
Software

ModelSeis is a software product developed at the Kansas Geological Survey (KGS) designed to calculate synthetic seismic data from user-specified subsurface model parameters. It consists of two components, a 3D finite-difference multi-processor calculation engine, FFDM, and a graphic user interface (GUI). The "ModelSeis GUI" is designed to provide a concise and convenient environment for managing the creation of 2D and 2.5D (i.e., resulting into 3D) Vs, Vp, and density model parameters.

ModelSeis' FFDM uses the elastic wave equation and offers the use of the multiaxial perfectly matched layer (MPML) (Zeng et al., 2011), as well as an improved vacuum formulation for Rayleigh-wave accuracy and stability calculations (Zeng et al., 2012). These simulation features have made the KGS' FFDM algorithm a preferred tool for near-surface seismic research (Sloan et al., 2010; Ivanov et al., 2013; Gao et al., 2014; Zhang et al., 2014; Hu et al., 2016; Schwenk et al., 2016; Ivanov et al., 2017; Hoch et al., 2018; Ivanov et al., 2018)

For viewing synthetic seismic data manufactured in KGS format users may find handy the free utility Winview.exe, which is distributed with the WinSeis 1.8 KGS' software (http://www.kgs.ku.edu/software/winseis).

Highlighted references are available for download courtesy of SEG (www.seg.org). If a publication is not offered for download, then this is likely due to following redistribution policies by other publishers.

Gao, L. L., J. H. Xia, and Y. D. Pan, 2014, Misidentification caused by leaky surface wave in high-frequency surface wave method: Geophysical Journal International, 199, 1452-1462. https://doi.org/10.1093/gji/ggu337

Hoch, A. M., J. Ivanov, S. L. Peterie, and R. Miller, 2018, Improved Seismic Diffraction Velocity Estimation with Fixed-Depth Semblance Analysis: SEG Technical Program Expanded Abstracts 2018, available online.

Hu, Y., L. Wang, F. Cheng, Y. Luo, C. Shen, and B. Mi, 2016, Ground-roll noise extraction and suppression using high-resolution linear Radon transform: Journal of Applied Geophysics. http://www.sciencedirect.com/science/article/pii/S0926985116300593

Ivanov, J., T. J. Schwenk, R. D. Miller, and S. Peterie, 2013, Dispersion-curve imaging nonuniqueness studies from multi-channel analysis of surface waves (MASW) using synthetic seismic data: SEG Technical Program Expanded Abstracts 2013, 1794-1800. available online

Ivanov, J., R. D. Miller, D. Z. Feigenbaum, and S. L. Peterie, 2017, Detecting subsurface objects and identifying voids possibilities using the backscatter analysis of surface wave (BASW) method: International Conference on Engineering Geophysics, Al Ain, United Arab Emirates, 9-12 October 2017, 116-119. available online

Ivanov, J., R. D. Miller, S. L. Peterie, and A. M. Hock, 2018, Detecting subsurface objects and identifying voids possibilities using seismic diffractions: SEG Technical Program Expanded Abstracts 2018. available online

Schwenk, J. T., S. D. Sloan, J. Ivanov, and R. D. Miller, 2016, Surface-wave methods for anomaly detection: Geophysics, 81, EN29-EN42. available online

Sloan, S. D., S. L. Peterie, J. Ivanov, R. D. Miller, and J. R. McKenna, 2010, Void detection using near-surface seismic methods, in Advances in Near-Surface Seismology and Ground-Penetrating Radar, R. D. Miller, J. D. Bradford and K. Holliger, eds.: Society of Exploration Geophysicists, SEG Geophysical Developments 201-218. https://doi.org/10.1190/1.9781560802259.ch12.

Zeng, C., J. H. Xia, R. D. Miller, and G. P. Tsoflias, 2011, Application of the multiaxial perfectly matched layer (M-PML) to near-surface seismic modeling with Rayleigh waves: Geophysics, 76, T43-T52. available online

Zeng, C., J. H. Xia, R. D. Miller, and G. P. Tsoflias, 2012, An improved vacuum formulation for 2D finite-difference modeling of Rayleigh waves including surface topography and internal discontinuities: Geophysics, 77, T1-T9. available online

Zhang, Y., Y. X. Xu, J. H. Xia, S. X. Zhang, and P. Ping, 2014, On effective characteristic of Rayleigh surface wave propagation in porous fluid-saturated media at low frequencies: Soil Dynamics and Earthquake Engineering, 57, 94-103. https://www.sciencedirect.com/science/article/pii/S0267726113002510