Basics of Computational Geophysics

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  • Author : Pijush Samui
  • Publisher : Elsevier
  • Pages : 432 pages
  • ISBN : 0128209011
  • Rating : /5 from reviews
CLICK HERE TO GET THIS BOOK >>>Basics of Computational Geophysics

Download or Read online Basics of Computational Geophysics full in PDF, ePub and kindle. this book written by Pijush Samui and published by Elsevier which was released on 27 November 2020 with total page 432 pages. We cannot guarantee that Basics of Computational Geophysics book is available in the library, click Get Book button and read full online book in your kindle, tablet, IPAD, PC or mobile whenever and wherever You Like. Basics of Computational Geophysics provides a one-stop, collective resource for practitioners on the different techniques and models in geoscience, their practical applications, and case studies. The reference provides the modeling theory in an easy-to-read format that is verified with onsite models for specific regions and scenarios, including the use of big data and artificial intelligence. This book offers a platform whereby readers will learn theory, practical applications, and the comparison of real-world problems surrounding geomechanics, modeling and optimizations. Covers various advanced computational techniques for solving different problems in geophysics, including the use of Big Data and artificial intelligence Includes case studies that provide examples surrounding practical applications Provides an assessment of the capabilities of commercial software

Basics of Computational Geophysics

Basics of Computational Geophysics
  • Author : Pijush Samui,Barnali Dixon,Dieu Tien Bui
  • Publisher : Elsevier
  • Release : 27 November 2020
GET THIS BOOK Basics of Computational Geophysics

Basics of Computational Geophysics provides a one-stop, collective resource for practitioners on the different techniques and models in geoscience, their practical applications, and case studies. The reference provides the modeling theory in an easy-to-read format that is verified with onsite models for specific regions and scenarios, including the use of big data and artificial intelligence. This book offers a platform whereby readers will learn theory, practical applications, and the comparison of real-world problems surrounding geomechanics, modeling and optimizations. Covers various

Computational Methods in Geophysical Electromagnetics

Computational Methods in Geophysical Electromagnetics
  • Author : Eldad Haber
  • Publisher : SIAM
  • Release : 11 December 2014
GET THIS BOOK Computational Methods in Geophysical Electromagnetics

This monograph provides a framework for students and practitioners who are working on the solution of electromagnetic imaging in geophysics. Bridging the gap between theory and practical applied material (for example, inverse and forward problems), it provides a simple explanation of finite volume discretization, basic concepts in solving inverse problems through optimization, a summary of applied electromagnetics methods, and MATLAB?÷code for efficient computation.

Computational Neural Networks for Geophysical Data Processing

Computational Neural Networks for Geophysical Data Processing
  • Author : M.M. Poulton
  • Publisher : Elsevier
  • Release : 13 June 2001
GET THIS BOOK Computational Neural Networks for Geophysical Data Processing

This book was primarily written for an audience that has heard about neural networks or has had some experience with the algorithms, but would like to gain a deeper understanding of the fundamental material. For those that already have a solid grasp of how to create a neural network application, this work can provide a wide range of examples of nuances in network design, data set design, testing strategy, and error analysis. Computational, rather than artificial, modifiers are used for

Adjustment Models in 3D Geomatics and Computational Geophysics

Adjustment Models in 3D Geomatics and Computational Geophysics
  • Author : Bashar Alsadik
  • Publisher : Elsevier
  • Release : 16 April 2019
GET THIS BOOK Adjustment Models in 3D Geomatics and Computational Geophysics

Adjustment Models in 3D Geomatics and Computational Geophysics: With MATLAB Examples, Volume Four introduces a complete package of theoretical and practical subjects in adjustment computations relating to Geomatics and geophysical applications, particularly photogrammetry, surveying, remote sensing, GIS, cartography, and geodesy. Supported by illustrating figures and solved examples with MATLAB codes, the book provides clear methods for processing 3D data for accurate and reliable results. Problems cover free net adjustment, adjustment with constraints, blunder detection, RANSAC, robust estimation, error propagation, 3D

Computational Methods in Geosciences

Computational Methods in Geosciences
  • Author : William Edward Fitzgibbon,Mary Fanett Wheeler,Society for Industrial and Applied Mathematics
  • Publisher : SIAM
  • Release : 01 January 1992
GET THIS BOOK Computational Methods in Geosciences

Discusses a dozen topics related to mathematical and computational issues in geophysical fluid and solid mechanics, including local grid refinement for reservoir simulation, a method of factoring long z-transform polynomials, and the finite element modelling of surface flow problems. See entry QC155

Computational Geo Electromagnetics

Computational Geo Electromagnetics
  • Author : Viacheslav V. Spichak
  • Publisher : Unknown
  • Release : 01 February 2020
GET THIS BOOK Computational Geo Electromagnetics

Computational Geo-Electromagnetics: Methods, Models, and Forecasts, Volume Five in the Computational Geophysics series, is devoted to techniques for building of geoelectrical models from electromagnetic data, featuring Bayesian statistical analysis and neural network algorithms. These models are applied to studying the geoelectrical structure of famous volcanoes (i.e., Vesuvio, Kilauea, Elbrus, Komagatake, Hengill) and geothermal zones (i.e., Travale, Italy; Soultz-sous-Forets, Elsace). Methodological recommendations are given on electromagnetic sounding of faults as well as geothermal and hydrocarbon reservoirs. Techniques for forecasting