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  • 1
    Online Resource
    Online Resource
    [s.l.] : American Geophysical Union
    Keywords: Electronic books ; Geophysik ; Modellierung ; Inverse Methode ; Geoinformatik ; Prospektion
    Description / Table of Contents: 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 modelsComprehensive overview of current applications of integrated imaging including hydrological investigations, natural resource exploration, and imaging the deep EarthDetailed 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.
    Type of Medium: Online Resource
    Pages: 1 Online-Ressource (270 S.)
    Edition: 1. Aufl.
    ISBN: 1118929063
    Series Statement: Geophysical Monograph Series v.218
    DDC: 530
    Language: English
    Note: Description based upon print version of record
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  • 2
    Book
    Book
    Washington, DC : AGU, American Geophysical Union | Hoboken, New Jersey : Wiley
    Keywords: Imaging systems in seismology ; Imaging systems in geophysics ; Geophysik ; Inverse Methode ; Mathematische Modellierung
    Description / Table of Contents: 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.--
    Type of Medium: Book
    Pages: xiii, 252 Seiten , Illustrationen, Diagramme, Karten , 29 cm
    ISBN: 1118929055 , 9781118929056
    Series Statement: Geophysical monograph series 218
    DDC: 550.28
    RVK:
    RVK:
    RVK:
    RVK:
    Language: English
    Note: Includes bibliographical references and index , "This Work is a co-publication between the American Geophysical Union and John Wiley and Sons, Inc. " , 1. Introduction , 2. Inverse Methods: Problem Formulation and Probabilistic Solutions , 3. Inference Networks in Earth Models with Multiple Components and Data , 4. Structural Coupling Approaches in Integrated Geophysical Imaging , 5. Post-inversion Integration of Disparate Tomographic Models by Model Structure Analyses , 6. Probabilistic Integration of Geo-Information , 7. Joint Inversion in Hydrogeophysics and Near-Surface Geophysics , 8. Integrated Imaging for Mineral Exploration , 9. Joint Inversion in Hydrocarbon Exploration , 10. Imaging the Lithosphere and Upper Mantle: Where We Are At and Where We Are Going , 11. Constitution and Structure of Earth's Mantle: Insights from Mineral Physics and Seismology
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  • 3
    In: Journal of geophysical research. B, Solid earth, Hoboken, NJ : Wiley, 1978, 115(2010), 2169-9356
    In: volume:115
    In: year:2010
    In: extent:23
    Description / Table of Contents: We present joint inversion of magnetotelluric, receiver function, and Raleigh wave dispersion data for a one-dimensional Earth using a multiobjective genetic algorithm (GA). The chosen GA produces not only a family of models that fit the data sets but also the trade-off between fitting the different data sets. The analysis of this trade-off gives insight into the compatibility between the seismic data sets and the magnetotelluric data and also the appropriate noise level to assume for the seismic data. This additional information helps to assess the validity of the joint model, and we demonstrate the use of our approach with synthetic data under realistic conditions. We apply our method to one site from the Slave Craton and one site from the Kaapvaal Craton. For the Slave Craton we obtain similar results to our previously published models from joint inversion of receiver functions and magnetotelluric data but with improved resolution and control on absolute velocities. We find a conductive layer at the bottom of the crust, just above the Moho; a low-velocity, low-resistivity zone in the lithospheric mantle, previously termed the Central Slave Mantle Conductor; and indications of the lithosphere-asthenosphere boundary in terms of a decrease in seismic velocity and resistivity. For the Kaapvaal Craton both the seismic and the MT data are of lesser quality, which prevents as detailed and robust an interpretation; nevertheless, we find an indication of a low-velocity low-resistivity zone in the mantle lithosphere. These two examples demonstrate the potential of joint inversion, particularly in combination with nonlinear optimization methods.
    Type of Medium: Online Resource
    Pages: 23 , graph. Darst
    ISSN: 2169-9356
    Language: English
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  • 4
    Publication Date: 2019-09-23
    Description: Deep crustal constraint is often carried out using deterministic inverse methods, sometimes using seismic refraction, gravity and electromagnetic datasets in a complementary or "joint" scheme. With increasingly powerful parallel computer systems it is now possible to apply joint inversion schemes to derive an optimum model from diverse input data. These methods are highly effective where the uncertainty in the system is small. However, given the complex nature of these schemes it is often difficult to discern the uniqueness of the output model given the noise in the data, and the application of necessary regularization and weighting in the inversion process means that the extent of user prejudice pertaining to the final result may be unclear. We can rigorously address the subject of uncertainty using standard statistical tools but these methods also become less feasible if the prior model space is large or the forward simulations are computationally expensive. We present a simple Monte Carlo scheme to screen model space in a fully joint fashion, in which we replace the forward simulation with a fast and uncertainty-calibrated mathematical function, or emulator. This emulator is used as a proxy to run the very large number of models necessary to fully explore the plausible model space. We develop the method using a simple synthetic dataset then demonstrate its use on a joint data set comprising first-arrival seismic refraction. MT and scalar gravity data over a diapiric salt body. This study demonstrates both the value of a forward Monte Carlo approach (as distinct from a search-based or conventional inverse approach) in incorporating all kinds of uncertainty in the modelling process, exploring the entire model space, and shows the potential value of applying emulator technology throughout geophysics. Though the target here is relatively shallow, the methodology can be readily extended to address the whole crust.
    Type: Article , PeerReviewed
    Format: text
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  • 5
    Publication Date: 2017-12-11
    Description: One of the main problem of 3D time domain controlled source electromagnetic (CSEM) inversion is the high runtimes of forward modeling codes. We reduced the runtime of the 3D time domain finite difference CSEM code TEMDDD by the GPU-parallelization of expensive algorithms. The code solves the electromagnetic diffusion equation by discretization of spatial operators and subsequent calculation of eigenpairs. These eigenpairs are found by approximation of the eigenspace in a Kiylov subspace using the spectral Lanczos decomposition Method. This algorithm was in its original form not parallelizable due to implementation of the upper boundary condition at the air-water interface. We show for the marine case that replacing the original boundary condition at the air-water surface by a discretized air layer allows GPU parallelization of every time consuming algorithm of the code in the marine case. Speedups between 20 and 60 have been achieved compared to the original code for a larger 3-D model. In this model the bathymetry from a survey area offshore Egypt is used as an example demonstrating that the parallelized version of the code is applicable to real survey scenarios.
    Type: Article , PeerReviewed
    Format: text
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  • 6
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    In:  [Poster] In: 3DEM-5, 5. International Symposium on Three-Dimensional Electromagnetics "Future Challenges", 07.-09.05.2013, Sapporo, Japan .
    Publication Date: 2013-12-02
    Type: Conference or Workshop Item , NonPeerReviewed
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  • 7
    Publication Date: 2013-12-02
    Type: Conference or Workshop Item , NonPeerReviewed
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  • 8
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    In:  [Poster] In: 81. Jahrestagung der Deutschen Geophysikalischen Gesellschaft (DGG), 01.03.-05.03.2021, Kiel (online) .
    Publication Date: 2021-07-12
    Description: Combined analysis of multiple geophysical methods is a key practice to reduce model uncertainties and improve geological interpretations. Various approaches to combine several data sets or physical models in joint inversion have different advantages and challenges. We present a comparison of two ways to integrate marine magnetotelluric (MT) with gravity data along the Namibian passive continental margin and also compare them to a single-method MT inversion. This study area offers an excellent setting, because multiple tectonic processes (e.g. rifting, magmatism, post-breakup sedimentation) lead to various lithological units with distinct physical properties (e.g. continental-, transitional-, and oceanic crust, fault systems or sedimentary depocenters). The two joint inversions are a cross-gradient coupled 3D inversion of marine magnetotelluric data with a fixed structural density model based on gravity modeling, and a joint inversion of the same MT data with satellite gravity data. Structural coupling with the blocky density model enforces harsh resistivity changes in an otherwise smooth model and helps reducing excessively smeared inversion artifacts. Although the edge-like features complicate direct model interpretation, they indicate alternative ways to fit the MT data, while simultaneously matching seismic observations integrated in the density cross-model. For the second approach, the large solution space of the satellite gravity data inversion limits the improvements through joint inversion compared to a single method MT inversion. The resulting joint inversion resistivity model differs only marginally from the single-method resistivity model, while the joint density model inherits some of the rather questionable resistivity model features. Our study demonstrates how joint inversion of multiple data aids model interpretation. The resulting resistivity models provide equally well-fitting alternatives to single-method evaluation, and additionally fit other geophysical method’s observations (i.e. gravity and seismic methods). The direct comparison of the impact of constraining MT inversion with either a fixed structural model or a coupled data inversion highlights how well the MT solution space may be confined. In our study, the fixed structural model constraint outperforms the joint MT-gravity data analysis.
    Type: Conference or Workshop Item , NonPeerReviewed
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  • 9
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    AGU (American Geophysical Union) | Wiley
    In:  Geophysical Research Letters, 40 (14). pp. 3596-3601.
    Publication Date: 2017-06-20
    Description: We present results of three-dimensional joint inversion of seismic, magnetotelluric, and gravity data over a marine salt dome. Such structures are difficult to image with a single method, and our results demonstrate how combining different techniques can yield improved results. More importantly, we examine the reliability of velocity-conductivity relationships derived from structure-coupled joint inversion approaches. Comparison with a seismic reflection section shows that our models match the upper limit of the salt. Furthermore, velocity and resistivity logs from a borehole drilled into the salt dome's flank match, within error, those recovered by the inversion. The good match suggests that the difference in length scale does not have a significant effect in this case. This provides a strong incentive to incorporate borehole data into the joint inversion in the future and substantiates approaches that use the relationships derived from joint inversion models for lithological classification.
    Type: Article , PeerReviewed
    Format: text
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  • 10
    Publication Date: 2019-02-01
    Description: Understanding the uncertainty associated with large joint geophysical surveys, such as 3D seismic, gravity, and magnetotelluric (MT) studies, is a challenge, conceptually and practically. By demonstrating the use of emulators, we have adopted a Monte Carlo forward screening scheme to globally test a prior model space for plausibility. This methodology means that the incorporation of all types of uncertainty is made conceptually straightforward, by designing an appropriate prior model space, upon which the results are dependent, from which to draw candidate models. We have tested the approach on a salt dome target, over which three data sets had been obtained; wide-angle seismic refraction, MT and gravity data. We have considered the data sets together using an empirically measured uncertain physical relationship connecting the three different model parameters: seismic velocity, density, and resistivity, and we have indicated the value of a joint approach, rather than considering individual parameter models. The results were probability density functions over the model parameters, together with a halite probability map. The emulators give a considerable speed advantage over running the full simulator codes, and we consider their use to have great potential in the development of geophysical statistical constraint methods.
    Type: Article , PeerReviewed
    Format: text
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