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Keywords: particle swarm optimization
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Proceedings Papers

Paper presented at the SEG International Exposition and Annual Meeting, September 15–20, 2019
Paper Number: SEG-2019-3216316
... evolutionary and automated finite difference computations, respectively. We implement a Particle swarm optimization (PSO) with an "elitism strategy" on top of DEAP, leveraging its transparent, simple and coherent environment for implementing of evolutionary algorithms (EAs). The high computational effort, due...
Proceedings Papers

Paper presented at the 2018 SEG International Exposition and Annual Meeting, October 14–19, 2018
Paper Number: SEG-2018-2998152
.... First, each seismic trace is modeled as a superposition of multiple exponentially decaying sinusoidal waves (EDSWs). Each EDSW represents a model component and is defined by a set of parameters. Secondly, a parameter estimation algorithm for this model is proposed using Particle Swarm Optimization (PSO...
Proceedings Papers

Paper presented at the 2018 SEG International Exposition and Annual Meeting, October 14–19, 2018
Paper Number: SEG-2018-2998340
..., and the gradient-based deterministic optimization methods such as gradient descent and Newton’s method are prone to be trapped in local optimum. Therefore, an alternative approach is demanded to cater to the advanced logging tools. In this study, a stochastic method called particle swarm optimization...
Proceedings Papers

Paper presented at the 2018 SEG International Exposition and Annual Meeting, October 14–19, 2018
Paper Number: SEG-2018-2996610
... seriously non-linear EM problems. This study presents an application of particle swarm optimization (PSO) to optimization of the phase shift and the amplitude compensation coefficient of SA for marine CSEM. Eigenstate analysis (EA), another non-linear SA weights optimization method, is also carried out in...
Proceedings Papers

Paper presented at the 2017 SEG International Exposition and Annual Meeting, September 24–29, 2017
Paper Number: SEG-2017-17795610
... little prior knowledge is available. This study also takes advantage of particle swarm optimization (PSO), a derivative-free global search method that is suitable for but not yet widely used in solving nonlinear inverse problems in geophysics. Presentation Date: Monday, September 25, 2017 Start Time: 1...
Proceedings Papers

Paper presented at the 2017 SEG International Exposition and Annual Meeting, September 24–29, 2017
Paper Number: SEG-2017-17634273
...Robust full-waveform inversion based on particle swarm optimization Guiting Chen* and Zhenli Wang. Institute of Geology and Geophysics, Chinese Academy of Sciences. University of Chinese academy of Sciences Summary Particle swarm Optimization (PSO) is a global optimization of swarm intelligence...
Proceedings Papers

Paper presented at the 2017 SEG International Exposition and Annual Meeting, September 24–29, 2017
Paper Number: SEG-2017-17632413
... ABSTRACT We use the mixed-integer nonlinear optimization algorithm called Particle Swarm Optimization and Mesh Adaptive Direct Search to optimize the design of seismic surveys. Due to the conflicting goals of obtaining a good subsurface illumination at the lowest possible cost, we apply a bi...
Proceedings Papers

Paper presented at the 2016 SEG International Exposition and Annual Meeting, October 16–21, 2016
Paper Number: SEG-2016-13840267
...A Competitive Particle Swarm Optimization for non-linear first arrival traveltime tomography Keurfon Luu*, Mark Noble, Alexandrine Gesret, Centre de Géosciences, MINES ParisTech, PSL Research University. SUMMARY Seismic traveltime tomography is an optimization problem that requires large...
Proceedings Papers

Paper presented at the 2016 SEG International Exposition and Annual Meeting, October 16–21, 2016
Paper Number: SEG-2016-13840764
... ABSTRACT A parallel hybrid scheme combining a particle swarm optimization (PSO) algorithm with the regularized Gauss-Newton (RGN) method is proposed as a means to invert gravity data to estimate the depth of a sedimentary basin in which the density contrast varies parabolically with depth...
Proceedings Papers

Paper presented at the 2016 SEG International Exposition and Annual Meeting, October 16–21, 2016
Paper Number: SEG-2016-13959236
... Location: Lobby D/C Presentation Type: POSTER particle swarm optimization upstream oil & gas best position inversion thickness model parameter machine learning evolutionary algorithm reservoir characterization travel time avo inversion seg seg international exposition artificial...
Proceedings Papers

Paper presented at the 2016 SEG International Exposition and Annual Meeting, October 16–21, 2016
Paper Number: SEG-2016-13877269
... nonlinear inversion problems. Standard particle swarm optimization (PSO) is not appropriate when we use it for the post-stack impedance directly. So we come up with an improved particle swarm optimization to alleviate these problems for the post-stack impedance inversion. This improved particle swarm...
Proceedings Papers

Paper presented at the 2015 SEG Annual Meeting, October 18–23, 2015
Paper Number: SEG-2015-5929157
... Summary A novel particle swarm optimization (PSO) method for discrete parameters and its hybridized algorithm with multi-point geostatistics are presented. This stochastic algorithm is designed for complex geological models, which often require discrete facies modeling before simulating...
Proceedings Papers

Paper presented at the 2014 SEG Annual Meeting, October 26–31, 2014
Paper Number: SEG-2014-1216
... Summary In this work we implement very fast simulated annealing (VFSA) and particle swarm optimization (PSO) to locate microseismic events. The two methods are compared to a linear grid search (GS) algorithm in terms of their computational efficiency and accuracy. To this end, two different...
Proceedings Papers

Paper presented at the 2013 SEG Annual Meeting, September 22–27, 2013
Paper Number: SEG-2013-0850
... identification acquisition artificial intelligence evolutionary algorithm nmo particle swarm optimization upstream oil & gas velocity analysis velocityanalysis ellipse moveout curve dataset semblance coherency measure approximation seismic velocityanalysis procedure reservoir...
Proceedings Papers

Paper presented at the 2012 SEG Annual Meeting, November 4–9, 2012
Paper Number: SEG-2012-0649
... Summary We adopt the multilayer perceptron (MLP) to approximate the nonlinear input-output mapping and propose the use of particle swarm optimization with mutation (MPSO) algorithm to adjust the weights in MLP. In the supervised training step, the input of the network is the apparent...
Proceedings Papers

Paper presented at the 2012 SEG Annual Meeting, November 4–9, 2012
Paper Number: SEG-2012-0716
... such as particle swarm optimization. INTRODUCTION Typical minimum-structure inversions work on meshes that thoroughly discretize the Earth into many elements and seek smoothly varying models without unreasonably high values. This approach provides generality and is appropriate in early stages of...
Proceedings Papers

Paper presented at the 2011 SEG Annual Meeting, September 18–23, 2011
Paper Number: SEG-2011-4102
... optimization based inversion has shown good results in integration of time-lapse seismic and production data in reservoir history matching. We have used a family of particle swarm optimizers for inversion of Norne field data set. We analyze the performance of the different PSO optimizers, both in terms of...
Proceedings Papers

Paper presented at the 2011 SEG Annual Meeting, September 18–23, 2011
Paper Number: SEG-2011-1913
..., which brings great uncertainty to seismic facies analysis and sedimentary facies interpretation. How to search the inherent cluster number from seismic data is an effective approach to solve the problem. This paper presents PSO (Particle Swarm Optimization) — based multi-attribute dynamic clustering...
Proceedings Papers

Paper presented at the 2010 SEG Annual Meeting, October 17–22, 2010
Paper Number: SEG-2010-2334
...Reservoir characterization and inversion uncertainty via a family of Particle Swarm Optimizers Juan Luis Fernández-Martínez (Stanford and Oviedo Universities), Tapan Mukerji* (Stanford University), Esperanza García-Gonzalo (Oviedo University), and Amit Suman (Stanford University). Summary We apply...
Proceedings Papers

Paper presented at the 2010 SEG Annual Meeting, October 17–22, 2010
Paper Number: SEG-2010-1845
...A comparative analysis of particle swarm optimization (PSO) and very fast simulated annealing (VFSA) inversion techniques for self-potential (SP) anomalies Vishal Das*, Arnab Ghosal, and Shalivahan, Department of Applied Geophysics, Indian School of Mines and Bimalendu B. Bhattacharya, S.N.Bose...

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