“…Many linear and linearized inversions such as least squares, linearized least squares, normalized local wave number method, analytic signal derivatives, second-horizontal derivatives, Euler deconvolution method, simplex algorithm, fair function minimization have also been developed (McGrath and Hood 1973;Silva 1989;Salem and Ravat 2003;Salem et al 2004;Salem 2005;Salem and Smith 2005;Tlas and Asfahani 2011a, b;Abdelrahman and Essa 2015;Tlas and Asfahani 2015). Global optimization methods such as simulated annealing, very fast simulated annealing, regularized inversion, particle swarm optimization and higher-order horizontal derivative methods (Gokturkler and Balkaya 2012;Sharma and Biswas 2013;Biswas and Sharma 2014a, b;Mehanee 2014a, b;Biswas 2015;Singh and Biswas 2015;Biswas 2016;Biswas and Acharya 2016;Ekinci 2016) have been effectively applied to solve nonlinear parametric inversion problems. A combined work of various other modeling methods can be found in Abo-Ezz and Essa (2016), Abdelrahman and Essa (2005) and Abdelrahman et al (2003Abdelrahman et al ( , 2009Abdelrahman et al ( , 2012.…”