Qiu, N., Liu, Q.-S., Gao, Q.-Y. and Zeng, Q.-L. (2010) Combining Genetic Algorithm and Generalized Least Squares for Geophysical Potential Field Data Optimized Inversion. IEEE Geoscience and Remote Sensing Letters, 7, 660-664.
https://doi.org/10.1109/LGRS.2010.2045152

has been cited by the following article:

• TITLE: MASW Survey with Fixed Receiver Geometry and CMP Cross-Correlation Technique for Data Processing: A Case Study of Wadi Fatima, Western Saudi Arabia

  AUTHORS: Faisal Rehman, Sherif M. El-Hady, Muhammad Faisal, Hussein M. Harbi, Muhammad Fahad Ullah, Saifur Rehman, Muhammad Kashif

  KEYWORDS: Shallow Geophysics, Noninvasive Technique, MASW, Shear Wave Velocity, Genetic Algorithm

  JOURNAL NAME: Open Journal of Geology, Vol.8 No.5, May 10, 2018

  ABSTRACT: Multichannel analysis of surface waves is a noninvasive technique for subsurface shear wave velocity imagining. This method is one of the most effective geophysical tools for geotechnical investigations. In this paper, we present multichannel surface wave data acquisition in a non-conventional manner in alluvium deposits. Fixed receiver and multi-source offset geometry were applied to obtain field data. The data processing comprised of generating CMP cross-correlated traces and then inversion to obtain dispersion curves. The inversion of dispersion curves is achieved by employing a genetic algorithm to obtain subsurface shear wave velocity. Finally, the one-dimensional shear wave models are obtained. The multi-source offset data acquisition with fixed receiver geometry technique in combination with CMP cross-correlation gathers for data processing worked in a quite efficient way to obtain subsurface shear wave model.