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Basics of Computational Geophysics

Basics of Computational Geophysics
A Book

by Pijush Samui,Barnali Dixon,Dieu Tien Bui

  • Publisher : Elsevier
  • Release : 2020-11-27
  • Pages : 432
  • ISBN : 0128209011
  • Language : En, Es, Fr & De
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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

Computational geophysics series

Computational geophysics series
A Book

by Anonim

  • Publisher : Unknown Publisher
  • Release : 2019
  • Pages : 129
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Adjustment Models in 3D Geomatics and Computational Geophysics

Adjustment Models in 3D Geomatics and Computational Geophysics
With MATLAB Examples

by Bashar Alsadik

  • Publisher : Elsevier
  • Release : 2019-04-16
  • Pages : 423
  • ISBN : 0128175893
  • Language : En, Es, Fr & De
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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 co-registration, image pose determination, and more. Covers both the theory and practice of using adjustment techniques in a wide variety of modern applications in Geomatics Presents topics on the Kalman filter, Robust estimation, Levenberg Marquardt technique, and many other vital applications in the context of Geomatics and photogrammetry Provides 75 solved problems in detail, especially related to 3-dimensional applications of Geomatics Offers MATLAB codes to strengthen understanding and give readers up-to-date knowledge on information science

Computational geophysics

Computational geophysics
A Book

by Victor Pereyra

  • Publisher : Unknown Publisher
  • Release : 1988
  • Pages : 139
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Methods and Applications in Reservoir Geophysics

Methods and Applications in Reservoir Geophysics
A Book

by Michael R. Cooper

  • Publisher : SEG Books
  • Release : 2010
  • Pages : 655
  • ISBN : 1560802162
  • Language : En, Es, Fr & De
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Computational Neural Networks for Geophysical Data Processing

Computational Neural Networks for Geophysical Data Processing
A Book

by M.M. Poulton

  • Publisher : Elsevier
  • Release : 2001-06-13
  • Pages : 352
  • ISBN : 9780080529653
  • Language : En, Es, Fr & De
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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 neural networks in this book to make a distinction between networks that are implemented in hardware and those that are implemented in software. The term artificial neural network covers any implementation that is inorganic and is the most general term. Computational neural networks are only implemented in software but represent the vast majority of applications. While this book cannot provide a blue print for every conceivable geophysics application, it does outline a basic approach that has been used successfully.

Special Issue on Computational Geophysics

Special Issue on Computational Geophysics
A Book

by Anonim

  • Publisher : Unknown Publisher
  • Release : 1988
  • Pages : 139
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Basic Theory in Reflection Seismology

Basic Theory in Reflection Seismology
with MATHEMATICA Notebooks and Examples on CD-ROM

by J.K. Costain,C. Coruh

  • Publisher : Elsevier
  • Release : 2004-10-27
  • Pages : 576
  • ISBN : 0080457568
  • Language : En, Es, Fr & De
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The material in this volume provides the basic theory necessary to understand the principles behind imaging the subsurface of the Earth using reflection and refraction seismology. For reflection seismology, the end product is a "record section" from a collection of "wiggly traces" that are recorded in the field from which information about the properties of subsurface structure and rock can be derived. For the most part, the principles of imaging are the same regardless of the depth to the target; the same mathematical background is necessary for targeting a shallow water table as for investigating the base of the earth's continental "crust" at a depth of 30-50 km.

Computational Science

Computational Science
A Book

by Dmitry Kiryanov,Elena Kiryanova

  • Publisher : Infinity Science Press
  • Release : 2006-09-01
  • Pages : 400
  • ISBN : 0977858227
  • Language : En, Es, Fr & De
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This Applications-Oriented Book Teaches Students And Engineers How To Employ Mathematical Techniques For Simulation And Data Processing Using Mathcad. It Is Designed As A Reference For Practicing Engineers Or For Use As A Standard University Course Text, Illustrating Practical Examples From Computational Science (Such As Optics, Environmental Science, Chemistry, Biology, Tomography, Economics, Etc). The Authors Describe The Most Popular Classical Algorithms And Modern Techniques With All Of The Examples Computed In Mathcad (On CD-ROM).

Mathematical Methods for Geophysics and Space Physics

Mathematical Methods for Geophysics and Space Physics
A Book

by William I. Newman

  • Publisher : Princeton University Press
  • Release : 2016-05-03
  • Pages : 272
  • ISBN : 1400882826
  • Language : En, Es, Fr & De
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Graduate students in the natural sciences—including not only geophysics and space physics but also atmospheric and planetary physics, ocean sciences, and astronomy—need a broad-based mathematical toolbox to facilitate their research. In addition, they need to survey a wider array of mathematical methods that, while outside their particular areas of expertise, are important in related ones. While it is unrealistic to expect them to develop an encyclopedic knowledge of all the methods that are out there, they need to know how and where to obtain reliable and effective insights into these broader areas. Here at last is a graduate textbook that provides these students with the mathematical skills they need to succeed in today's highly interdisciplinary research environment. This authoritative and accessible book covers everything from the elements of vector and tensor analysis to ordinary differential equations, special functions, and chaos and fractals. Other topics include integral transforms, complex analysis, and inverse theory; partial differential equations of mathematical geophysics; probability, statistics, and computational methods; and much more. Proven in the classroom, Mathematical Methods for Geophysics and Space Physics features numerous exercises throughout as well as suggestions for further reading. Provides an authoritative and accessible introduction to the subject Covers vector and tensor analysis, ordinary differential equations, integrals and approximations, Fourier transforms, diffusion and dispersion, sound waves and perturbation theory, randomness in data, and a host of other topics Features numerous exercises throughout Ideal for students and researchers alike An online illustration package is available to professors

Computational Methods in Geosciences

Computational Methods in Geosciences
A Book

by William Edward Fitzgibbon,Mary Fanett Wheeler,Society for Industrial and Applied Mathematics

  • Publisher : SIAM
  • Release : 1992-01-01
  • Pages : 207
  • ISBN : 9780898713015
  • Language : En, Es, Fr & De
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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

Fundamentals of Geophysics

Fundamentals of Geophysics
A Book

by William Lowrie,Andreas Fichtner

  • Publisher : Cambridge University Press
  • Release : 2020-01-02
  • Pages : 426
  • ISBN : 1108492738
  • Language : En, Es, Fr & De
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A thoroughly reworked third edition featuring new data acquisition technologies, research developments and computational exercises in Python.

Computational Methods in Geophysical Electromagnetics

Computational Methods in Geophysical Electromagnetics

by Eldad Haber

  • Publisher : SIAM
  • Release : 2014-12-11
  • Pages : 150
  • ISBN : 1611973791
  • Language : En, Es, Fr & De
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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 Science – ICCS 2021

Computational Science – ICCS 2021
21st International Conference, Krakow, Poland, June 16–18, 2021, Proceedings, Part IV

by Maciej Paszynski,Dieter Kranzlmüller,Valeria V. Krzhizhanovskaya,Jack J. Dongarra,Peter M.A. Sloot

  • Publisher : Springer Nature
  • Release : 2021-06-10
  • Pages : 656
  • ISBN : 303077970X
  • Language : En, Es, Fr & De
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The six-volume set LNCS 12742, 12743, 12744, 12745, 12746, and 12747 constitutes the proceedings of the 21st International Conference on Computational Science, ICCS 2021, held in Krakow, Poland, in June 2021.* The total of 260 full papers and 57 short papers presented in this book set were carefully reviewed and selected from 635 submissions. 48 full and 14 short papers were accepted to the main track from 156 submissions; 212 full and 43 short papers were accepted to the workshops/ thematic tracks from 479 submissions. The papers were organized in topical sections named: Part I: ICCS Main Track Part II: Advances in High-Performance Computational Earth Sciences: Applications and Frameworks; Applications of Computational Methods in Artificial Intelligence and Machine Learning; Artificial Intelligence and High-Performance Computing for Advanced Simulations; Biomedical and Bioinformatics Challenges for Computer Science Part III: Classifier Learning from Difficult Data; Computational Analysis of Complex Social Systems; Computational Collective Intelligence; Computational Health Part IV: Computational Methods for Emerging Problems in (dis-)Information Analysis; Computational Methods in Smart Agriculture; Computational Optimization, Modelling and Simulation; Computational Science in IoT and Smart Systems Part V: Computer Graphics, Image Processing and Artificial Intelligence; Data-Driven Computational Sciences; Machine Learning and Data Assimilation for Dynamical Systems; MeshFree Methods and Radial Basis Functions in Computational Sciences; Multiscale Modelling and Simulation Part VI: Quantum Computing Workshop; Simulations of Flow and Transport: Modeling, Algorithms and Computation; Smart Systems: Bringing Together Computer Vision, Sensor Networks and Machine Learning; Software Engineering for Computational Science; Solving Problems with Uncertainty; Teaching Computational Science; Uncertainty Quantification for Computational Models *The conference was held virtually. Chapter “Intelligent Planning of Logistic Networks to Counteract Uncertainty Propagation” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com. The six-volume set LNCS 12742, 12743, 12744, 12745, 12746, and 12747 constitutes the proceedings of the 21st International Conference on Computational Science, ICCS 2021, held in Krakow, Poland, in June 2021.* The total of 260 full papers and 57 short papers presented in this book set were carefully reviewed and selected from 635 submissions. 48 full and 14 short papers were accepted to the main track from 156 submissions; 212 full and 43 short papers were accepted to the workshops/ thematic tracks from 479 submissions. The papers were organized in topical sections named: Part I: ICCS Main Track Part II: Advances in High-Performance Computational Earth Sciences: Applications and Frameworks; Applications of Computational Methods in Artificial Intelligence and Machine Learning; Artificial Intelligence and High-Performance Computing for Advanced Simulations; Biomedical and Bioinformatics Challenges for Computer Science Part III: Classifier Learning from Difficult Data; Computational Analysis of Complex Social Systems; Computational Collective Intelligence; Computational Health Part IV: Computational Methods for Emerging Problems in (dis-)Information Analysis; Computational Methods in Smart Agriculture; Computational Optimization, Modelling and Simulation; Computational Science in IoT and Smart Systems Part V: Computer Graphics, Image Processing and Artificial Intelligence; Data-Driven Computational Sciences; Machine Learning and Data Assimilation for Dynamical Systems; MeshFree Methods and Radial Basis Functions in Computational Sciences; Multiscale Modelling and Simulation Part VI: Quantum Computing Workshop; Simulations of Flow and Transport: Modeling, Algorithms and Computation; Smart Systems: Bringing Together Computer Vision, Sensor Networks and Machine Learning; Software Engineering for Computational Science; Solving Problems with Uncertainty; Teaching Computational Science; Uncertainty Quantification for Computational Models *The conference was held virtually. Chapter “Intelligent Planning of Logistic Networks to Counteract Uncertainty Propagation” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com. Chapter: Modelling and Forecasting Based on Recurrent Pseudoinverse Matrices” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

The Boundary Element Method in Geophysics

The Boundary Element Method in Geophysics
A Book

by Shi-zhe Xu

  • Publisher : SEG Books
  • Release : 2001
  • Pages : 217
  • ISBN : 1560801050
  • Language : En, Es, Fr & De
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Geophysical Potential Fields

Geophysical Potential Fields
Geological and Environmental Applications

by Lev Eppelbaum

  • Publisher : Elsevier
  • Release : 2019-07-18
  • Pages : 476
  • ISBN : 0128116862
  • Language : En, Es, Fr & De
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Geophysical Potential Fields: Geological and Environmental Applications, Volume Two, investigates the similarities and differences of potential geophysical fields, including gravity, magnetics, temperature, resistivity and self-potential, along with the influence of noise on these fields. As part of the Computational Geophysics series, this volume provides computational examples and methods for effectively solving geophysical problems in a full cycle manner. Including both quantitative and qualitative analysis, the book offers different filtering and transformation procedures, integrated analysis, and special interpretation methodologies, also presenting a developed 3D algorithm for combined modeling of gravity and magnetic fields in complex environments. The book also includes applications of the unified potential field system, such as studying deep structure, searching hydrocarbon and ore deposits, localizing buried water horizons and rockslide areas, tectono-structural mapping of water basins, and classifying archaeological targets. It is an ideal and unique resource for geophysicists, exploration geologists, archaeologists and environmental scientists. Clearly demonstrates the successive stages of geophysical field analysis for different geological and environmental targets Provides a unified system for potential geophysical field analysis that is demonstrated by numerous examples of system application Demonstrates the possibilities for rapidly and effectively interpreting anomalies, receiving some knowledge of modern wavelet, diffusion maps and informational approach applications in geophysics, and combined gravity-magnetic methodology of 3D modeling Includes text of the Geological Space Field Calculation (GSFC) software intended for 3D combined modeling of gravity and magnetic fields in complex environments

Air Force Surveys in Geophysics

Air Force Surveys in Geophysics
A Book

by Anonim

  • Publisher : Unknown Publisher
  • Release : 1977
  • Pages : 129
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Computational Seismology

Computational Seismology
A Book

by V. I. Keilis-Borok

  • Publisher : Springer
  • Release : 2012-04-29
  • Pages : 228
  • ISBN : 9781468488173
  • Language : En, Es, Fr & De
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sense do not grow as fast as computational possi This book contains selections from Volumes bilities. I-V of the series "Computational Seismology," which Moreover, for some strange reason, comput was initiated a few years ago by the Academy of ers usually create a spirit of haste, though they are Sciences of the USSR. Volume V was still in prepa intended to provide time for meditation. In com ration when the translation was begun, and the trans puterizing seismology, therefore, one must first lations of papers from it were made from manu generalize the methods and then make them more scripts. Most of the authors are members of the rigorous mathematically. All relevant data must Department of Computational Geophysics of the In be processed jointly. Insofar as is possible, a priori stitute of Physics of the Earth, Moscow. hypotheses should be avoided. Particular attention The series is dedicated to theoretical and must be given to exact formulation of the problem, computational aspects of the analysis of seismolog to questions of uniqueness and stability, to the con ical data. The present state of this field is typical fidence limits of the results, etc. This general ap of our times. The rapidly increasing flow of infor proach is required in solving the main problems of mation is already too vast to be processed or even modern seismology, which are by definition general comprehended in a traditional way. This has forced problems. This approach has other advantages.

Computational Multiscale Modeling of Fluids and Solids

Computational Multiscale Modeling of Fluids and Solids
Theory and Applications

by Martin Oliver Steinhauser

  • Publisher : Springer
  • Release : 2016-11-29
  • Pages : 405
  • ISBN : 3662532247
  • Language : En, Es, Fr & De
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The idea of the book is to provide a comprehensive overview of computational physics methods and techniques, that are used for materials modeling on different length and time scales. Each chapter first provides an overview of the basic physical principles which are the basis for the numerical and mathematical modeling on the respective length-scale. The book includes the micro-scale, the meso-scale and the macro-scale, and the chapters follow this classification. The book explains in detail many tricks of the trade of some of the most important methods and techniques that are used to simulate materials on the perspective levels of spatial and temporal resolution. Case studies are included to further illustrate some methods or theoretical considerations. Example applications for all techniques are provided, some of which are from the author’s own contributions to some of the research areas. The second edition has been expanded by new sections in computational models on meso/macroscopic scales for ocean and atmosphere dynamics. Numerous applications in environmental physics and geophysics had been added.

Unearthing Fermi's Geophysics

Unearthing Fermi's Geophysics
A Book

by Gino C. Segrè,John D. Stack

  • Publisher : University of Chicago Press
  • Release : 2022-01-17
  • Pages : 208
  • ISBN : 022680528X
  • Language : En, Es, Fr & De
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Follow Nobel laureate and legendary teacher Enrico Fermi’s lost course on geophysics. Nobel Prize–winning physicist Enrico Fermi (1901–54) is known for his work on experimental particle and nuclear physics, quantum theory, and statistical mechanics, and for his particular ability to condense complicated problems into approximations for understanding and testing theory in a variety of scientific disciplines. Six of his graduate students went on to win their own Nobel Prizes. Unearthing Fermi’s Geophysics opens a window onto two underrepresented facets of this extraordinary thinker: Fermi’s teaching and his contribution to the field of geophysics. Drawing on Fermi’s handwritten calculations and notes, many of which are reproduced here in photographic facsimile, physicists Gino Segrè and John Stack have reconstructed a coursebook of Fermi’s insights into the physics of a range of geological and atmospheric phenomena. From gravity on Earth to thermodynamics in the atmosphere, the physics of raindrops, the Coriolis effect in hurricanes, tidal physics, earthquakes and seismic waves, Earth’s magnetism, atmospheric electricity, and much more, Unearthing Fermi’s Geophysics reveals the hidden workings of the world above, around, and below us—and of the mind of a great scientist who was able to bring those physical workings to light.