Geophysical Inversion Theory And Global Optimization Methods


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Geophysical Inversion Theory and Global Optimization Methods


Geophysical Inversion Theory and Global Optimization Methods

Author: Caiyun Liu

language: en

Publisher: Scientific Research Publishing, Inc. USA

Release Date: 2018-04-01


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Geophysical inversion is an ill-posed problem. Classical local search method for inversion is depend on initial guess and easy to be trapped in local optimum. The global optimization is a group of novel methods to deal with the problems mentioned above. The book introduces the geophysical inversion theory, including the classical solving approaches firstly. Then, it introduces several typical global inversion approaches including particle swarm optimization (PSO), differential evolution (DE), and multiobjective optimization methods, as well as some examples to inverse the geophysical data, such as gravity, MT sounding, well logging, self-potential, seismic data, using these global optimization approaches.

Global Optimization Methods in Geophysical Inversion


Global Optimization Methods in Geophysical Inversion

Author: Mrinal K. Sen

language: en

Publisher: Cambridge University Press

Release Date: 2013-02-21


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An up-to-date overview of global optimization methods used to formulate and interpret geophysical observations, for researchers, graduate students and professionals.

Global Optimization Methods in Geophysical Inversion


Global Optimization Methods in Geophysical Inversion

Author: Mrinal K. Sen

language: en

Publisher: Cambridge University Press

Release Date: 2013-02-21


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Providing an up-to-date overview of the most popular global optimization methods used in interpreting geophysical observations, this new edition includes a detailed description of the theoretical development underlying each method and a thorough explanation of the design, implementation and limitations of algorithms. New and expanded chapters provide details of recently developed methods, such as the neighborhood algorithm, particle swarm optimization, hybrid Monte Carlo and multi-chain MCMC methods. Other chapters include new examples of applications, from uncertainty in climate modeling to whole Earth studies. Several different examples of geophysical inversion, including joint inversion of disparate geophysical datasets, are provided to help readers design algorithms for their own applications. This is an authoritative and valuable text for researchers and graduate students in geophysics, inverse theory and exploration geoscience, and an important resource for professionals working in engineering and petroleum exploration.