Computational Seismology

An introductory text to a range of numerical methods used today to simulate time-dependent processes in Earth science, physics, engineering and many other fields. It looks under the hood of current simulation technology and provides guidelines on what to look out for when carrying out sophisticated simulation tasks.

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.

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