By Max Moorkamp,Peter G. Lelièvre,Niklas Linde,Amir Khan
Reliable and special information regarding the Earth’s subsurface is of the most important value during the geosciences. Quantitative integration of all to be had geophysical and geological information is helping to make Earth types extra powerful and trustworthy. the purpose of this booklet is to summarize and synthesize the transforming into literature on combining quite a few different types of geophysical and different geoscientific information. The ways which were constructed so far surround joint inversion, cooperative inversion, and statistical post-inversion research tools, every one with various merits and assumptions.
Starting with the principles of inverse conception, this booklet systematically describes the mathematical and theoretical features of the way to most sensible combine diverse geophysical datasets with geological previous realizing and different complimentary information. This foundational foundation is via chapters that show the various diversity of functions for which built-in tools were used to this point. those diversity from imaging the hydrogeological houses of the near-surface to normal source exploration and probing the composition of the lithosphere and the deep Earth. each one bankruptcy is written through major specialists within the box, which makes this ebook the definitive reference on built-in imaging of the Earth.
Highlights of this quantity include:
- Complete assurance of the theoretical foundations of built-in imaging methods from inverse idea to diversified coupling equipment and quantitative assessment of the ensuing models
- Comprehensive evaluate of present functions of built-in imaging together with hydrological investigations, typical source exploration, and imaging the deep Earth
- Detailed case experiences of built-in techniques delivering priceless counsel for either skilled clients and researchers new to joint inversion.
This quantity may be a helpful source for graduate scholars, lecturers, practitioners, and researchers who're attracted to utilizing or constructing built-in imaging approaches.
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