Reliable and detailed information about the Earth s subsurface is of crucial importance throughout the geosciences. Quantitative integration of all available geophysical and geological data helps to make Earth models more robust and reliable. The aim of this book is to summarize and synthesize the growing literature on combining various types of geophysical and other geoscientific data. The approaches that have been developed to date encompass joint inversion, cooperative inversion, and statistical post–inversion analysis methods, each with different benefits and assumptions.
Starting with the foundations of inverse theory, this book systematically describes the mathematical and theoretical aspects of how to best integrate different geophysical datasets with geological prior understanding and other complimentary data. This foundational basis is followed by chapters that demonstrate the diverse range of applications for which integrated methods have been used to date. These range from imaging the hydrogeological properties of the near–surface to natural resource exploration and probing the composition of the lithosphere and the deep Earth. Each chapter is written by leading experts in the field, which makes this book the definitive reference on integrated imaging of the Earth.
Highlights of this volume include:
- Complete coverage of the theoretical foundations of integrated imaging approaches from inverse theory to different coupling methods and quantitative evaluation of the resulting models
- Comprehensive overview of current applications of integrated imaging including hydrological investigations, natural resource exploration, and imaging the deep Earth
- Detailed case studies of integrated approaches providing valuable guidance for both experienced users and researchers new to joint inversion.
This volume will be a valuable resource for graduate students, academics, industry practitioners, and researchers who are interested in using or developing integrated imaging approaches.
Max Moorkamp, Peter G Lelièvre, Niklas Linde, and Amir Khan 1
Part I: Theory 7
2 Inverse Methods: Problem Formulation and Probabilistic Solutions
Klaus Mosegaard and Thomas Mejer Hansen 9
3 Inference Networks in Earth Models with Multiple Components and Data
Miguel Bosch 29
4 Structural Coupling Approaches in Integrated Geophysical Imaging
Max A Meju and Luis A Gallardo 49
5 Post ]inversion Integration of Disparate Tomographic Models by Model Structure Analyses
Hendrik Paasche 69
6 Probabilistic Integration of Geo ]Information
Thomas Mejer Hansen, Knud Skou Cordua, Andrea Zunino, and Klaus Mosegaard 93
Part II: Applications 117
7 Joint Inversion in Hydrogeophysics and Near ]Surface Geophysics
Niklas Linde and Joseph Doetsch 119
8 Integrated Imaging for Mineral Exploration
Peter G Lelièvre and Colin G Farquharson 137
9 Joint Inversion in Hydrocarbon Exploration
Max Moorkamp, Björn Heincke, Marion Jegen, Richard W Hobbs, and Alan W Roberts 167
10 Imaging the Lithosphere and Upper Mantle: Where We Are At and Where We Are Going
Juan Carlos Afonso, Max Moorkamp, and Javier Fullea 191
11 Constitution and Structure of Earth s Mantle: Insights from Mineral Physics and Seismology
Andrea Zunino, Amir Khan, Paul Cupillard, and Klaus Mosegaard 219