The process of regional-residual separation in potential field is age-old. Broadly, there are two techniques for regional-residual resolution, viz., graphical and analytical. Both the techniques have their own respective shortcomings. In this book, the authors have described the technique based on finite element method in which only eight (or twelve) nodal observed gravity values are used for the regional computation, thereby eliminating the possible contamination of anomalous fields and also the technique does not assume an explicit model and physical properties like density of rocks etc. in the regional computation. The book discusses the advantages of this technique viz., it is not site-specific; the computation is independent of any prior assumptions as to the form and depth of shallow or deeper structures; it can handle data distributed at random or on a regular grid on the map space; and the neighbouring surveys join smoothly. The book focuses on application of this new technique which has been demonstrated in different fields, such as hydrocarbon, minerals and groundwater, structural studies, earthquake and engineering studies and impact structures.

The process of regional-residual separation in potential field is age-old. Broadly, there are two techniques for regional-residual resolution, viz., graphical and analytical. Both the techniques have their own respective shortcomings. In this book, the authors have described the technique based on finite element method in which only eight (or twelve) nodal observed gravity values are used for the regional computation, thereby eliminating the possible contamination of anomalous fields and also the technique does not assume an explicit model and physical properties like density of rocks etc. in the regional computation. The book discusses the advantages of this technique viz., it is not site-specific; the computation is independent of any prior assumptions as to the form and depth of shallow or deeper structures; it can handle data distributed at random or on a regular grid on the map space; and the neighbouring surveys join smoothly. The book focuses on application of this new technique which has been demonstrated in different fields, such as hydrocarbon, minerals and groundwater, structural studies, earthquake and engineering studies and impact structures.

The past few decades have witnessed the growth of the Earth Sciences in the pursuit of knowledge and understanding of the planet that we live on. This development addresses the challenging endeavor to enrich human lives with the bounties of Nature as well as to preserve the planet for the generations to come. Solid Earth Geophysics aspires to define and quantify the internal structure and processes of the Earth in terms of the principles of physics and forms the intrinsic framework, which other allied disciplines utilize for more specific investigations. The first edition of the Encyclopedia of Solid Earth Geophysics was published in 1989 by Van Nostrand Reinhold publishing company. More than two decades later, this new volume, edited by Prof. Harsh K. Gupta, represents a thoroughly revised and expanded reference work. It brings together more than 200 articles covering established and new concepts of Geophysics across the various sub-disciplines such as Gravity, Geodesy, Geomagnetism, Seismology, Seismics, Deep Earth Processes, Plate Tectonics, Thermal Domains, Computational Methods, etc. in a systematic and consistent format and standard. It is an authoritative and current reference source with extraordinary width of scope. It draws its unique strength from the expert contributions of editors and authors across the globe. It is designed to serve as a valuable and cherished source of information for current and future generations of professionals.

This text bridges the gap between the classic texts on potential theory and modern books on applied geophysics. It opens with an introduction to potential theory, emphasising those aspects particularly important to earth scientists, such as Laplace's equation, Newtonian potential, magnetic and electrostatic fields, and conduction of heat. The theory is then applied to the interpretation of gravity and magnetic anomalies, drawing on examples from modern geophysical literature. Topics explored include regional and global fields, forward modeling, inverse methods, depth-to-source estimation, ideal bodies, analytical continuation, and spectral analysis. The book includes numerous exercises and a variety of computer subroutines written in FORTRAN. Graduate students and researchers in geophysics will find this book essential.

This core undergraduate textbook presents a comprehensive overview of each major branch of theoretical and applied geophysics.

This combination of textbook and reference manual provides a comprehensive account of gravity and magnetic methods for exploring the subsurface using surface, marine, airborne and satellite measurements. It describes key current topics and techniques, physical properties of rocks and other Earth materials, and digital data analysis methods used to process and interpret anomalies for subsurface information. Each chapter starts with an overview and concludes by listing key concepts to consolidate new learning. An accompanying website presents problem sets and interactive computer-based exercises, providing hands-on experience of processing, modeling and interpreting data. A comprehensive online suite of full-color case histories illustrates the practical utility of modern gravity and magnetic surveys. This is an ideal text for advanced undergraduate and graduate courses and reference text for research academics and professional geophysicists. It is a valuable resource for all those interested in petroleum, engineering, mineral, environmental, geological and archeological exploration of the lithosphere.

Geophysical Data Analysis: Discrete Inverse Theory is an introductory text focusing on discrete inverse theory that is concerned with parameters that either are truly discrete or can be adequately approximated as discrete. Organized into 12 chapters, the book's opening chapters provide a general background of inverse problems and their corresponding solution, as well as some of the basic concepts from probability theory that are applied throughout the text. Chapters 3-7 discuss the solution of the canonical inverse problem, that is, the linear problem with Gaussian statistics, and discussions on problems that are non-Gaussian and nonlinear are covered in Chapters 8 and 9. Chapters 10-12 present examples of the use of inverse theory and a discussion on the numerical algorithms that must be employed to solve inverse problems on a computer. This book is of value to graduate students and many college seniors in the applied sciences.