Relevant bibliographies by topics / Seismic tomography

Academic literature on the topic 'Seismic tomography'

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Published: 4 June 2021
Last updated: 31 July 2024

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Journal articles on the topic "Seismic tomography"

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By, T. L. "Crosshole seismics and seismic tomography." Geoexploration 24, no. 3 (October 1987): 275–76. http://dx.doi.org/10.1016/0016-7142(87)90072-x.

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Poupinet, Georges. "Seismic tomography." Endeavour 14, no. 2 (January 1990): 52–60. http://dx.doi.org/10.1016/0160-9327(90)90072-y.

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Williamson, Paul R. "Seismic Reflection Tomography." Exploration Geophysics 19, no. 1-2 (March 1988): 391–93. http://dx.doi.org/10.1071/eg988391.

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Ursin, Bjørn, Maarten V. de Hoop, Stig-Kyrre Foss, and Sverre Brandsberg-Dahl. "Seismic angle tomography." Leading Edge 24, no. 6 (June 2005): 628–34. http://dx.doi.org/10.1190/1.1946220.

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Chiao, Ling-Yun, and Ban-Yuan Kuo. "Multiscale seismic tomography." Geophysical Journal International 145, no. 2 (May 2001): 517–27. http://dx.doi.org/10.1046/j.0956-540x.2001.01403.x.

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Bregman, N. D., R. C. Bailey, and C. H. Chapman. "Crosshole seismic tomography." GEOPHYSICS 54, no. 2 (February 1989): 200–215. http://dx.doi.org/10.1190/1.1442644.

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Many tomographic interpretations of crosshole seismic traveltimes have approximated the raypaths with straight lines connecting the source and receiver. This approximation is valid where the velocity does not vary greatly, but in many regions of interest velocity variations of 10–20 percent or more are observed, causing significant ray curvature. Other work has taken this nonlinear effect into account, but there do not appear to be many cases of demonstrated success in its application to the crosshole seismic problem. We present here an iterative inversion scheme based on two‐dimensional ray tracing and its successful application to field data. The interpretation method iteratively ray traces and then updates the velocity model. Within each iteration, the differences between the data and the current model traveltimes obtained by ray tracing are related to the unknown velocity perturbations through a system of linear equations. A damped least‐squares method solves for the velocity perturbations which update the model. The iterations continue until the synthetic traveltimes fit the data to within the data error or until no improvement in the fit of the traveltimes is observed. The method is demonstrated on a small synthetic data set, where convergence to the correct solution is achieved in a few iterations. The method is then applied to field data from a crosshole experiment in crystalline rock. The frequency range of the seismograms is 1 to 6.6 kHz, allowing resolution of velocity structure on a scale of several meters. The resulting velocity image shows good agreement with other geologic and geophysical data. Synthetic Maslov seismograms calculated for the derived velocity model agree well with the waveform data, providing an independent test of the validity of the inversion method.
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Root, B. C. "Comparing global tomography-derived and gravity-based upper mantle density models." Geophysical Journal International 221, no. 3 (February 24, 2020): 1542–54. http://dx.doi.org/10.1093/gji/ggaa091.

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SUMMARY Current seismic tomography models show a complex environment underneath the crust, corroborated by high-precision satellite gravity observations. Both data sets are used to independently explore the density structure of the upper mantle. However, combining these two data sets proves to be challenging. The gravity-data has an inherent insensitivity in the radial direction and seismic tomography has a heterogeneous data acquisition, resulting in smoothed tomography models with de-correlation between different models for the mid-to-small wavelength features. Therefore, this study aims to assess and quantify the effect of regularization on a seismic tomography model by exploiting the high lateral sensitivity of gravity data. Seismic tomography models, SL2013sv, SAVANI, SMEAN2 and S40RTS are compared to a gravity-based density model of the upper mantle. In order to obtain similar density solutions compared to the seismic-derived models, the gravity-based model needs to be smoothed with a Gaussian filter. Different smoothening characteristics are observed for the variety of seismic tomography models, relating to the regularization approach in the inversions. Various S40RTS models with similar seismic data but different regularization settings show that the smoothening effect is stronger with increasing regularization. The type of regularization has a dominant effect on the final tomography solution. To reduce the effect of regularization on the tomography models, an enhancement procedure is proposed. This enhancement should be performed within the spectral domain of the actual resolution of the seismic tomography model. The enhanced seismic tomography models show improved spatial correlation with each other and with the gravity-based model. The variation of the density anomalies have similar peak-to-peak magnitudes and clear correlation to geological structures. The resolvement of the spectral misalignment between tomographic models and gravity-based solutions is the first step in the improvement of multidata inversion studies of the upper mantle and benefit from the advantages in both data sets.
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Tsai, Victor C., Christian Huber, and Colleen A. Dalton. "Towards the geological parametrization of seismic tomography." Geophysical Journal International 234, no. 2 (March 24, 2023): 1447–62. http://dx.doi.org/10.1093/gji/ggad140.

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SUMMARY Seismic tomography is a cornerstone of geophysics and has led to a number of important discoveries about the interior of the Earth. However, seismic tomography remains plagued by the large number of unknown parameters in most tomographic applications. This leads to the inverse problem being underdetermined and requiring significant non-geologically motivated smoothing in order to achieve unique answers. Although this solution is acceptable when using tomography as an explorative tool in discovery mode, it presents a significant problem to use of tomography in distinguishing between acceptable geological models or in estimating geologically relevant parameters since typically none of the geological models considered are fit by the tomographic results, even when uncertainties are accounted for. To address this challenge, when seismic tomography is to be used for geological model selection or parameter estimation purposes, we advocate that the tomography can be explicitly parametrized in terms of the geological models being tested instead of using more mathematically convenient formulations like voxels, splines or spherical harmonics. Our proposition has a number of technical difficulties associated with it, with some of the most important ones being the move from a linear to a non-linear inverse problem, the need to choose a geological parametrization that fits each specific problem and is commensurate with the expected data quality and structure, and the need to use a supporting framework to identify which model is preferred by the tomographic data. In this contribution, we introduce geological parametrization of tomography with a few simple synthetic examples applied to imaging sedimentary basins and subduction zones, and one real-world example of inferring basin and crustal properties across the continental United States. We explain the challenges in moving towards more realistic examples, and discuss the main technical difficulties and how they may be overcome. Although it may take a number of years for the scientific program suggested here to reach maturity, it is necessary to take steps in this direction if seismic tomography is to develop from a tool for discovering plausible structures to one in which distinct scientific inferences can be made regarding the presence or absence of structures and their physical characteristics.
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Rammah, Khader, Mostafa Ismail, Jesse Costa, and Mario Riccio Filho. "A new seismic tomography system for geotechnical centrifuges." Soils and Rocks 46, no. 1 (December 1, 2022): e2023000922. http://dx.doi.org/10.28927/sr.2023.000922.

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Seismic tomography has been extensively used in geophysics for different purposes, including geological mapping, characterisation of inner earth structure and prospecting for oil and gas. In geophysics, seismic or electromagnetic waves are commonly used to provide tomographic information. In the geotechnical area, seismic tomography is emerging as a promising technique that can be used to determine the spatial variability of shear wave velocities and hence the small strain stiffness of geomaterials, especially when used in the centrifuge where in-situ stress conditions can be mimicked closely. This paper describes the development of a seismic tomography technique in the centrifuge. This technology can be used to image variations of soil stiffness under various mechanical, chemical and physical conditions. The paper describes the various components of the system, which includes arrays of small-size bender elements, hardware and software used to transmit, receive and acquire the shear wave signals during a centrifuge test. The paper illustrates the performance of the system at both 1g and in the centrifuge. Results of tomographic inversion performed on travel-time data obtained from these tests are discussed.
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Lazarević, Luka, Dejan Vučković, Milica Vilotijević, and Zdenka Popović. "Application of seismic tomography for assessment of the railway substructure condition." Structural Health Monitoring 18, no. 3 (May 29, 2018): 792–805. http://dx.doi.org/10.1177/1475921718774778.

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This article presents results obtained in the research conducted on railway infrastructure in Serbia, which aimed at prediction of substructure condition based on the analysis of track quality. It presents the results of seismic tomography application as non-destructive procedure for assessment of railway substructure condition. Track geometry quality was assessed according to analysis of longitudinal level data, which was recorded during regular track geometry inspections. Track section for application of seismic tomography was chosen on the basis of analysed track geometry data recorded during the regular track geometry inspections in 2006, 2008, 2009, 2012, 2013 and 2014. Tomographic imaging of railway platform on Test Section enabled the creation of two-dimensional finite element model, which was used for determination of propagation speed of seismic P-waves. Seismic tomography on Test Section, which is the part of the international railway line Belgrade–Vrbnica, was performed in 2014. Obtained tomographic image was discussed and compared to track geometry data recorded during the regular track geometry inspections.
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Dissertations / Theses on the topic "Seismic tomography"

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Lo, Tien-when. "Seismic borehole tomography." Thesis, Massachusetts Institute of Technology, 1988. http://hdl.handle.net/1721.1/54325.

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Nurhandoko, Bagus Endar Bachtiar. "Fresnel zone seismic tomography." Kyoto University, 2000. http://hdl.handle.net/2433/180954.

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Yang, Ting. "Seismic constraints on structure beneath hotspots : earthquake tomography & finite frequency tomography approaches /." View online ; access limited to URI, 2006. http://0-wwwlib.umi.com.helin.uri.edu/dissertations/dlnow/3232466.

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Zhang, Qie Sandvol Eric Alan. "Seismic tomography and anisotropy: studies of intraplate seismic zones." Diss., Columbia, Mo. : University of Missouri--Columbia, 2009. http://hdl.handle.net/10355/6855.

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Title from PDF of title page (University of Missouri--Columbia, viewed on Feb 24, 2010). The entire thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file; a non-technical public abstract appears in the public.pdf file. Dissertation advisor: Dr. Eric Sandvol. Vita. Includes bibliographical references.
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Lees, Jonathan Matthew. "Seismic tomography in western Washington /." Thesis, Connect to this title online; UW restricted, 1989. http://hdl.handle.net/1773/6829.

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Dyer, Benjamin Charles. "Seismic transmission and reflection tomography." Thesis, Imperial College London, 1988. http://hdl.handle.net/10044/1/47042.

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Dumont-Kristiansen, Frédéric-Nicolas. "Spatial variability in seismic depth tomography." Thesis, Norwegian University of Science and Technology, Department of Mathematical Sciences, 2007. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-9501.

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The location of a reflector or medium in the subsurface is correlated with the high wavenumbers or high frequencies in the velocity field. Indeed, the determination of the high frequencies of the velocity field both normally and laterally is the key step for improving seimic data and then get a better insight of the position of a reflector in the subsurface. This project focus on the velocity data processing part involved in seismic tomography. We describe, compare and implement several highpass operators based on finite-difference and the Hamming window in order to filter a seismic velocity dataset. In fact, we study their behaviour in the frequency domain by examining their spectrums. The main contribution of this project is to construct two dimensional anisotropic operators by rotating a one dimensional operator based on linear interpolation. We test all the operators on a synthetic seismic velocity dataset and compare the results obtained between the isotropic filtering method and the anisotropic filtering method. We show that anisotropic filters can be useful in certain geological circumstances. Finally we attempt to scale the different operators in order to fully incorporate them in the seismic tomography inversion problem by using a Bayesian method. We show that it is possible to decide the strength of the constraint in which we want to filter the seismic dataset by using a regularization parameter.

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Gruber, Thomas. "Crosshole seismic tomography incorporating later arrivals /." Title page, contents and abstract only, 1998. http://web4.library.adelaide.edu.au/theses/09PH/09phg885.pdf.

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Galetti, Erica. "Seismic interferometry and non-linear tomography." Thesis, University of Edinburgh, 2015. http://hdl.handle.net/1842/10506.

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Seismic records contain information that allows geoscientists to make inferences about the structure and properties of the Earth’s interior. Traditionally, seismic imaging and tomography methods require wavefields to be generated and recorded by identifiable sources and receivers, and use these directly-recorded signals to create models of the Earth’s subsurface. However, in recent years the method of seismic interferometry has revolutionised earthquake seismology by allowing unrecorded signals between pairs of receivers, pairs of sources, and source-receiver pairs to be constructed as Green’s functions using either cross-correlation, convolution or deconvolution of wavefields. In all of these formulations, seismic energy is recorded and emitted by surrounding boundaries of receivers and sources, which need not be active and impulsive but may even constitute continuous, naturally-occurring seismic ambient noise. In the first part of this thesis, I provide a comprehensive overview of seismic interferometry, its background theory, and examples of its application. I then test the theory and evaluate the effects of approximations that are commonly made when the interferometric formulae are applied to real datasets. Since errors resulting from some approximations can be subtle, these tests must be performed using almost error-free synthetic data produced with an exact waveform modelling method. To make such tests challenging the method and associated code must be applicable to multiply-scattering media. I developed such a modelling code specifically for interferometric tests and applications. Since virtually no errors are introduced into the results from modelling, any difference between the true and interferometric waveforms can safely be attributed to specific origins in interferometric theory. I show that this is not possible when using other, previously available methods: for example, the errors introduced into waveforms synthesised by finite-difference methods due to the modelling method itself, are larger than the errors incurred due to some (still significant) interferometric approximations; hence that modelling method can not be used to test these commonly-applied approximations. I then discuss the ability of interferometry to redatum seismic energy in both space and time, allowing virtual seismograms to be constructed at new locations where receivers may not have been present at the time of occurrence of the associated seismic source. I present the first successful application of this method to real datasets at multiple length scales. Although the results are restricted to limited bandwidths, this study demonstrates that the technique is a powerful tool in seismologists’ arsenal, paving the way for a new type of ‘retrospective’ seismology where sensors may be installed at any desired location at any time, and recordings of seismic events occurring at any other time can be constructed retrospectively – even long after their energy has dissipated. Within crustal seismology, a very common application of seismic interferometry is ambient-noise tomography (ANT). ANT is an Earth imaging method which makes use of inter-station Green’s functions constructed from cross-correlation of seismic ambient noise records. It is particularly useful in seismically quiescent areas where traditional tomography methods that rely on local earthquake sources would fail to produce interpretable results due to the lack of available data. Once constructed, interferometric Green’s functions can be analysed using standard waveform analysis techniques, and inverted for subsurface structure using more or less traditional imaging methods. In the second part of this thesis, I discuss the development and implementation of a fully non-linear inversion method which I use to perform Love-wave ANT across the British Isles. Full non-linearity is achieved by allowing both raypaths and model parametrisation to vary freely during inversion in Bayesian, Markov chain Monte Carlo tomography, the first time that this has been attempted. Since the inversion produces not only one, but a large ensemble of models, all of which fit the data to within the noise level, statistical moments of different order such as the mean or average model, or the standard deviation of seismic velocity structures across the ensemble, may be calculated: while the ensemble average map provides a smooth representation of the velocity field, a measure of model uncertainty can be obtained from the standard deviation map. In a number of real-data and synthetic examples, I show that the combination of variable raypaths and model parametrisation is key to the emergence of previously-unobserved, loop-like uncertainty topologies in the standard deviation maps. These uncertainty loops surround low- or high-velocity anomalies. They indicate that, while the velocity of each anomaly may be fairly well reconstructed, its exact location and size tend to remain uncertain; loops parametrise this location uncertainty, and hence constitute a fully non-linearised, Bayesian measure of spatial resolution. The uncertainty in anomaly location is shown to be due mainly to the location of the raypaths that were used to constrain the anomaly also only being known approximately. The emergence of loops is therefore related to the variation in raypaths with velocity structure, and hence to 2nd and higher order wave-physics. Thus, loops can only be observed using non-linear inversion methods such as the one described herein, explaining why these topologies have never been observed previously. I then present the results of fully non-linearised Love-wave group-velocity tomography of the British Isles in different frequency bands. At all of the analysed periods, the group-velocity maps show a good correlation with known geology of the region, and also robustly detect novel features. The shear-velocity structure with depth across the Irish Sea sedimentary basin is then investigated by inverting the Love-wave group-velocity maps, again fully non-linearly using Markov chain Monte Carlo inversion, showing an approximate depth to basement of 5 km. Finally, I discuss the advantages and current limitations of the fully non-linear tomography method implemented in this project, and provide guidelines and suggestions for its improvement.
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Trinks, Immo. "Traveltime tomography of densely sampled seismic data." Thesis, University of Cambridge, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.615782.

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Books on the topic "Seismic tomography"

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Nolet, Guust, ed. Seismic Tomography. Dordrecht: Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3899-1.

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Zhao, Dapeng. Multiscale Seismic Tomography. Tokyo: Springer Japan, 2015. http://dx.doi.org/10.1007/978-4-431-55360-1.

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Stewart, Robert R. Exploration seismic tomography: Fundamentals. Tulsa, Okla: Society of Exploration Geophysicists, 1991.

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Dębski, Wojciech. Seismic tomography software package. Warszawa: Institute of Geophysics, Polish Academy of Sciences, 2000.

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1953-, Inderwiesen Philip L., ed. Fundamentals of seismic tomography. Tulsa, OK: Society of Exploration Geophysicists, 1994.

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M, Iyer H., and Hirahara K, eds. Seismic tomography: Theory and practice. London: Chapman & Hall, 1993.

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J, Mezcua, and Carreño E, eds. Iberian lithosphere heterogeneity and anisotropy, ILIHA. Madrid: Instituto Geográfico Nacional, 1993.

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1945-, Nolet Guust, ed. Seismic tomography: With applications in global seismology and exploration geophysics. Dordrecht, Holland: D. Reidel, 1987.

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Emsley, S. J. Cross-hole seismic tomographic survey: Boreholes 2 and 4, Sellafield, Cumbria, UK : topical report. Luxembourg: European Commission, Directorate-General, Science, Research, and Development, 1995.

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Ewa, Gliwa, Goździk Alina, and Wspólnota Węgla Kamiennego (Poland), eds. Wybrane zagadnienia lokalizacji ognisk wstrząsów górniczych oraz geotomografii sejsmicznej. Katowice: Główny Instytut Górnictwa, 1989.

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Book chapters on the topic "Seismic tomography"

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Nolet, G. "Seismic wave propagation and seismic tomography." In Seismic Tomography, 1–23. Dordrecht: Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3899-1_1.

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Nolet, G. "Waveform tomography." In Seismic Tomography, 301–22. Dordrecht: Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3899-1_13.

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Poupinet, G. "Seismic data collection platforms for satellite transmission." In Seismic Tomography, 239–50. Dordrecht: Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3899-1_10.

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Morelli, A., and A. M. Dziewonski. "The harmonic expansion approach to the retrieval of deep Earth structure." In Seismic Tomography, 251–74. Dordrecht: Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3899-1_11.

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Jobert, N., and G. Jobert. "Ray tracing for surface waves." In Seismic Tomography, 275–300. Dordrecht: Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3899-1_12.

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Snieder, R. "Surface wave holography." In Seismic Tomography, 323–37. Dordrecht: Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3899-1_14.

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Ruff, Larry J. "Tomographic imaging of seismic sources." In Seismic Tomography, 339–66. Dordrecht: Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3899-1_15.

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Chapman, C. H. "The Radon transform and seismic tomography." In Seismic Tomography, 25–47. Dordrecht: Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3899-1_2.

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Sluis, A., and H. A. Vorst. "Numerical solution of large, sparse linear algebraic systems arising from tomographic problems." In Seismic Tomography, 49–83. Dordrecht: Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3899-1_3.

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Wielandt, E. "On the validity of the ray approximation for interpreting delay times." In Seismic Tomography, 85–98. Dordrecht: Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3899-1_4.

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Conference papers on the topic "Seismic tomography"

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Hubral, P. "SEISMIC TOMOGRAPHY." In 1st International Congress of the Brazilian Geophysical Society. European Association of Geoscientists & Engineers, 1989. http://dx.doi.org/10.3997/2214-4609-pdb.317.sbgf020.

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Kolonin, A. G. "Integrated Seismic Tomography." In Geophysics of the 21st Century - The Leap into the Future. European Association of Geoscientists & Engineers, 2003. http://dx.doi.org/10.3997/2214-4609-pdb.38.f320.

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Wong, J. "Seismic Transmission Tomography." In 4th EEGS Symposium on the Application of Geophysics to Engineering and Environmental Problems. European Association of Geoscientists & Engineers, 1991. http://dx.doi.org/10.3997/2214-4609-pdb.211.1991_016.

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Wong, J. "Seismic Transmission Tomography." In Symposium on the Application of Geophysics to Engineering and Environmental Problems 1991. Environment and Engineering Geophysical Society, 1991. http://dx.doi.org/10.4133/1.2921930.

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Virieux, J. "Passive Seismic Tomography." In 68th EAGE Conference and Exhibition - Workshop Package. European Association of Geoscientists & Engineers, 2006. http://dx.doi.org/10.3997/2214-4609.201405170.

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"Workshop 3 — Seismic tomography." In SEG Technical Program Expanded Abstracts 1990. Society of Exploration Geophysicists, 1990. http://dx.doi.org/10.1190/1.1890122.

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Zhang, Jie, and F. Dale Morgan. "Joint Seismic and Electrical Tomography." In Symposium on the Application of Geophysics to Engineering and Environmental Problems 1997. Environment and Engineering Geophysical Society, 1997. http://dx.doi.org/10.4133/1.2922412.

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Prónay, Z., L. Hermann, and E. Törös. "Seismic tomography in shallow investigations." In 4th EEGS Meeting. European Association of Geoscientists & Engineers, 1998. http://dx.doi.org/10.3997/2214-4609.201407157.

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Blaha, P. "Seismic Tomography in Shallow Geology." In 1st EEGS Meeting. European Association of Geoscientists & Engineers, 1995. http://dx.doi.org/10.3997/2214-4609.201407401.

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Fechner*, Thomas, Solomon Ifeanyi Ehosioke, Sonja Mackens, Lutz Karl, and Daryl Tweeton. "Reliability maps for seismic tomography." In International Conference on Engineering Geophysics, Al Ain, United Arab Emirates, 15-18 November 2015. Society of Exploration Geophysicists, 2015. http://dx.doi.org/10.1190/iceg2015-006.

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Reports on the topic "Seismic tomography"

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Rowe, Charlotte Anne. Introduction to Seismic Tomography. Office of Scientific and Technical Information (OSTI), November 2017. http://dx.doi.org/10.2172/1409811.

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Leland Timothy Long. Seismic Surface-Wave Tomography of Waste Sites. Office of Scientific and Technical Information (OSTI), December 2002. http://dx.doi.org/10.2172/806810.

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Long, Leland T. Seismic Surface-Wave Tomography of Waste Sites. Office of Scientific and Technical Information (OSTI), October 2002. http://dx.doi.org/10.2172/834607.

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J. Descour. Seismic tomography Technology for the Water Infiltration Experiment. Office of Scientific and Technical Information (OSTI), April 2001. http://dx.doi.org/10.2172/838660.

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New, B. M. A seismic transmission tomography technique for rock quality evaluation. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1986. http://dx.doi.org/10.4095/123616.

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Long, Timothy L. Seismic Surface-Wave Tomography of Waste Sites - Final Report. Office of Scientific and Technical Information (OSTI), September 2000. http://dx.doi.org/10.2172/781156.

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Simmons, N., C. Morency, A. Chiang, and S. Myers. Report on the LLNL Global Seismic Waveform Tomography Modeling Project. Office of Scientific and Technical Information (OSTI), August 2022. http://dx.doi.org/10.2172/1886132.

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Rodgers, A. Adjoint Waveform Tomography for Next Generation Seismic Analyses and Monitoring. Office of Scientific and Technical Information (OSTI), June 2023. http://dx.doi.org/10.2172/1989081.

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Long, T. L. Seismic surface wave tomography of waste sites. 1997 annual progress report. Office of Scientific and Technical Information (OSTI), October 1997. http://dx.doi.org/10.2172/13562.

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Long, T. L. Seismic surface-wave tomography of waste sites. 1998 annual progress report. Office of Scientific and Technical Information (OSTI), June 1998. http://dx.doi.org/10.2172/13563.

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