# High resolution fast microseismic source collocation and source time function estimation

 Title High resolution fast microseismic source collocation and source time function estimation Publication Type Conference Year of Publication 2017 Authors Shashin Sharan, Rongrong Wang, Felix J. Herrmann Conference Name SEG Technical Program Expanded Abstracts Page 2778-2783 Month 09 Keywords algorithm, Full-waveform inversion, microseismic, passive imaging, SEG, wave equation Abstract Sparsity promotion based joint microseismic source collocation and source time function estimation, using Linearized Bregman algorithm, although simple to implement, suffers from slow convergence. This is due to the fact that Linearized Bregman algorithm has only first order of convergence. In this work, we propose to accelerate the existing Linearized Bregman algorithm using the L-BFGS algorithm. Without any initial guess for the source location or source time function, our method is able to estimate the source location and source time function for kinematically correct smooth velocity model. We demonstrate the effectiveness of our method for multiple sources spaced within half a wavelength. We also compare our results with Linearized Bregman based method in 2.5D instead of 2D. Notes (SEG, Houston) URL https://slim.gatech.edu/Publications/Public/Conferences/SEG/2017/sharan2017SEGhrf/sharan2017SEGhrf.html DOI 10.1190/segam2017-17787749.1 Presentation https://slim.gatech.edu/Publications/Public/Conferences/SEG/2017/sharan2... Citation Key sharan2017SEGhrf