Conventional tools for seismic imaging normally ignore the anisotropy of the media to produce images of the subsurface, and such omission reduces the quality of the images. Therefore, it is necessary to develop methods which account for subsurface …
In this paper, an improved particle swarm optimization technique known as elitist-mutated particle swarm optimization (EMPSO) was applied in the 2D electrical resistivity imaging, a complex and highly nonlinear optimization problem. The EMPSO enables …
Generalized simulated annealing (GSA) is an optimization technique for locating the global optimum, which contains both classical simulated annealing (SA) and fast simulated annealing (FSA) as particular cases. In this paper, GSA was applied to …
It is present an efficient parallel algorithm for the inversion of 3-D gravity data, which goal is to estimate the depth of a sedimentary basin in which the density contrast varies parabolically with depth. The efficiency of the gravity inversion …
In this study, we present a computationally efficient automatic method for the optimal selection of the regularization parameter in the 3D inversion of gravity data. We use a linearized inversion method to estimate the depth of a 3D sedimentary basin …
This study investigates the adaptive filtering approach based on the Singular Value Decomposition (SVD) method to improve velocity analysis and ground-roll attenuation. The SVD filtering is an adaptive multichannel filtering method where each …