LEADER 05542nam 2200589 450 001 9910136816403321 005 20200520144314.0 010 $a1-118-92907-1 010 $a1-118-92908-X 035 $a(CKB)3710000000621426 035 $a(EBL)4457831 035 $a(MiAaPQ)EBC4457831 035 $a(Au-PeEL)EBL4457831 035 $a(CaPaEBR)ebr11177885 035 $a(CaONFJC)MIL909310 035 $a(OCoLC)945662960 035 $a(PPN)19728440X 035 $a(EXLCZ)993710000000621426 100 $a20160408h20162016 uy| 0 101 0 $aeng 135 $aur|n|---||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 00$aIntegrated imaging of the earth $etheory and applications /$fMax Moorkamp [and three others], editors 210 1$aHoboken, New Jersey :$cJohn Wiley & Sons, Incorporated,$d[2016] 210 4$dİ2016 215 $a1 online resource (269 p.) 225 1 $aGeophysical monograph ;$v218 300 $a"This Work is a co-publication between the American Geophysical Union and John Wiley and Sons, Inc." 311 $a1-118-92906-3 311 $a1-118-92905-5 320 $aIncludes bibliographical references and index. 327 $aTITLE PAGE ; COPYRIGHT PAGE ; CONTENTS ; CONTRIBUTORS ; FOREWORD ; PREFACE ; ACKNOWLEDGMENTS ; CHAPTER 1 INTRODUCTION 327 $a1.1. SOME DEFINITIONS 1.2. OVERVIEW OF CHAPTER CONTENTS ; 1.3. FUTURE DEVELOPMENTS ; REFERENCES ; PART I THEORY; CHAPTER 2 INVERSE METHODS: PROBLEM FORMULATION AND PROBABILISTIC SOLUTIONS; 2.1. INTRODUCTION 327 $a2.2. INVERSE THEORY 2.3. THE ORIGIN OF PROBABILITY; 2.4. PROBABILISTIC INVERSION; 2.5. SAMPLING A PROBABILITY DENSITY; 2.6. INVERSE THEORY IN PRACTICE: LIMITATIONS AND INTERPRETATIONS; ACKNOWLEDGMENTS ; REFERENCES ; CHAPTER 3 INFERENCE NETWORKS IN EARTH MODELS WITH MULTIPLE COMPONENTS AND DATA; 3.1. INTRODUCTION 327 $a3.2. MULTIPLE PHYSICAL OBSERVATIONS AND MODEL COMPONENTS 3.3. GRAPHS AND POSTERIOR PROBABILITY DENSITIES ; 3.4 SAMPLING IN MODEL NETWORKS 327 $a3.5. MAXIMUM POSTERIOR PROBABILITIES IN MODEL NETWORKS 3.6. DISCUSSION ; 3.7. CONCLUSIONS ; ACKNOWLEDGMENTS ; REFERENCES 327 $aCHAPTER 4 STRUCTURAL COUPLING APPROACHES IN INTEGRATED GEOPHYSICAL IMAGING 330 3 $aReliable and detailed information about the Earth's subsurface is of crucial importance throughout the geosciences. Quantitative integration of all available geophysical and geological data helps to make Earth models more robust and reliable. The aim of this book is to summarize and synthesize the growing literature on combining various types of geophysical and other geoscientific data. The approaches that have been developed to date encompass joint inversion, cooperative inversion, and statistical post-inversion analysis methods, each with different benefits and assumptions. Starting with the foundations of inverse theory, this book systematically describes the mathematical and theoretical aspects of how to best integrate different geophysical datasets with geological prior understanding and other complimentary data. This foundational basis is followed by chapters that demonstrate the diverse range of applications for which integrated methods have been used to date. These range from imaging the hydrogeological properties of the near-surface to natural resource exploration and probing the composition of the lithosphere and the deep Earth. Each chapter is written by leading experts in the field, which makes this book the definitive reference on integrated imaging of the Earth.--$cSource other than the Library of Congress. 410 0$aGeophysical monograph ;$v218. 606 $aImaging systems in seismology 615 0$aImaging systems in seismology. 676 $a550.28 702 $aMoorkamp$b Max 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910136816403321 996 $aIntegrated imaging of the earth$92013824 997 $aUNINA