Relevant bibliographies by topics / Three-dimensional inversion

Academic literature on the topic 'Three-dimensional inversion'

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Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "Three-dimensional inversion"

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Timor-Tritsch, Ilan E., Ana Monteagudo, Tanya Tsymbal, and Irina Strok. "Three-Dimensional Inversion Rendering." Journal of Ultrasound in Medicine 24, no. 5 (May 2005): 681–88. http://dx.doi.org/10.7863/jum.2005.24.5.681.

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Xiong, Zonghou, and Andreas Kirsch. "Three-dimensional earth conductivity inversion." Journal of Computational and Applied Mathematics 42, no. 1 (September 1992): 109–21. http://dx.doi.org/10.1016/0377-0427(92)90166-u.

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Cohen, Jack K., Frank G. Hagin, and Norman Bleistein. "Three‐dimensional Born inversion with an arbitrary reference." GEOPHYSICS 51, no. 8 (August 1986): 1552–58. http://dx.doi.org/10.1190/1.1442205.

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Recent work of G. Beylkin helped set the stage for very general seismic inversions. We have combined these broad concepts for inversion with classical high‐frequency asymptotics and perturbation methods to bring them closer to practically implementable algorithms. Applications include inversion schemes for both stacked and unstacked seismic data. Basic assumptions are that the data have relative true amplitude, and that a reasonably accurate background velocity c(x, y, z) is available. The perturbation from this background is then sought. Since high‐frequency approximations are used throughout, the resulting algorithms essentially locate discontinuities in velocity. An expression for a full 3-D velocity inversion can be derived for a general data surface. In this degree of generality the formula does not represent a computationally feasible algorithm, primarily because a key Jacobian determinant is not expressed in practical terms. In several important cases, however, this shortcoming can be overcome and expressions can be obtained that lead to feasible computing schemes. Zero‐offsets, common‐sources, and common‐receivers are examples of such cases. Implementation of the final algorithms involves, first, processing the data by applying the FFT, making an amplitude adjustment and filtering, and applying an inverse FFT. Then, for each output point, a summation is performed over that portion of the processed data influencing the output point. This last summation involves an amplitude and traveltime along connecting rays. The resulting algorithms are computationally competitive with analogous migration schemes.
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Avdeev, Dmitry B., and Anna D. Avdeeva. "A RIGOROUS THREE-DIMENSIONAL MAGNETOTELLURIC INVERSION." Progress In Electromagnetics Research 62 (2006): 41–48. http://dx.doi.org/10.2528/pier06041205.

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Sevink, Agur G. J., and Gérard C. Herman. "Three-dimensional, nonlinear, asymptotic seismic inversion." Inverse Problems 12, no. 5 (October 1, 1996): 757–77. http://dx.doi.org/10.1088/0266-5611/12/5/016.

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Zhdanov, Michael S., and Sheng Fang. "Three-dimensional quasi-linear electromagnetic inversion." Radio Science 31, no. 4 (July 1996): 741–54. http://dx.doi.org/10.1029/96rs00719.

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Tripp, A. C., and G. W. Hohmann. "Three-dimensional electromagnetic cross-well inversion." IEEE Transactions on Geoscience and Remote Sensing 31, no. 1 (1993): 121–26. http://dx.doi.org/10.1109/36.210452.

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Madden, T. M., and R. L. Mackie. "Three-dimensional magnetotelluric modelling and inversion." Proceedings of the IEEE 77, no. 2 (1989): 318–33. http://dx.doi.org/10.1109/5.18628.

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Keto, Eric, and William Jeffrey. "The three dimensional structure of astronomical sources through optimal inversion." International Astronomical Union Colloquium 131 (1991): 228–32. http://dx.doi.org/10.1017/s0252921100013361.

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AbstractWe explore the application of optimal inversion techniques to astronomical data with a goal of developing a set of procedures for the determination of the three dimensional structure of astronomical sources. Astronomical data present a particularly difficult problem in inversion because: In any observation, 3 of 6 spatial and velocity dimensions are lost in projection onto the plane of the sky and the line of sight velocity. In any inversion, we would like to solve for a number of physical parameters. Generally, these parameters are closely related in their effect on the single observable, the sky brightness.The dimensional deficiency leaves us with an unavoidably large degree of ambiguity (non-uniqueness) in any solution, while the inter-related parameters lead to a high probability of correlated errors and hence instability in the presence of to noise.We show how constraints of symmetry and smoothness source allow us to handle an inversion with an insufficiently sampled data base and mutually dependent solution parameters (mathematically ill-posed and ill-conditioned). The constraints represent a priori information incorporated into the solution; thus very highly constrained inversions are similar to model fitting. In any case the inversion procedure provides us with quantitative statistics on the goodness of fit which may be used to assess the degree of ambiguity in a particular model, and the expected errors and cross-correlated errors on the parameters defining the source structure.We briefly discuss the background and motivation, and outline the procedure in general terms. We refer to papers published in the Ap. J. where different aspects of the inversion are applied to observational data bases collected at the VLA.
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Ma, Huan, Handong Tan, and Yue Guo. "Three-Dimensional Induced Polarization Parallel Inversion Using Nonlinear Conjugate Gradients Method." Mathematical Problems in Engineering 2015 (2015): 1–12. http://dx.doi.org/10.1155/2015/464793.

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Four kinds of array of induced polarization (IP) methods (surface, borehole-surface, surface-borehole, and borehole-borehole) are widely used in resource exploration. However, due to the presence of large amounts of the sources, it will take much time to complete the inversion. In the paper, a new parallel algorithm is described which uses message passing interface (MPI) and graphics processing unit (GPU) to accelerate 3D inversion of these four methods. The forward finite differential equation is solved by ILU0 preconditioner and the conjugate gradient (CG) solver. The inverse problem is solved by nonlinear conjugate gradients (NLCG) iteration which is used to calculate one forward and two “pseudo-forward” modelings and update the direction, space, and model in turn. Because each source is independent in forward and “pseudo-forward” modelings, multiprocess modes are opened by calling MPI library. The iterative matrix solver within CULA is called in each process. Some tables and synthetic data examples illustrate that this parallel inversion algorithm is effective. Furthermore, we demonstrate that the joint inversion of surface and borehole data produces resistivity and chargeability results are superior to those obtained from inversions of individual surface data.
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Dissertations / Theses on the topic "Three-dimensional inversion"

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Debens, Henry Alexander. "Three-dimensional anisotropic full-waveform inversion." Thesis, Imperial College London, 2015. http://hdl.handle.net/10044/1/32407.

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Full-waveform inversion (FWI) is a powerful nonlinear tool for quantitative estimation of high-resolution high-fidelity models of subsurface seismic parameters, typically P-wave velocity. A solution is obtained via a series of iterative local linearised updates to a start model, requiring this model to lie within the basin of attraction of the solution space's global minimum. The consideration of seismic anisotropy during FWI is vital, as it holds influence over both the kinematics and dynamics of seismic waveforms. If not appropriately taken into account, then inadequacies in the anisotropy model are likely to manifest as significant error in the recovered velocity model. Conventionally, anisotropic FWI either employs an a priori anisotropy model, held fixed during FWI, or uses a local inversion scheme to recover anisotropy as part of FWI; both of these methods can be problematic. Constructing an anisotropy model prior to FWI often involves intensive (and hence expensive) iterative procedures. On the other hand, introducing multiple parameters to FWI itself increases the complexity of what is already an underdetermined problem. As an alternative I propose here a novel approach referred to as combined FWI. This uses a global inversion for long-wavelength acoustic anisotropy, involving no start model, while simultaneously updating P-wave velocity using mono-parameter local FWI. Combined FWI is then followed by multi-parameter local FWI to recover the detailed final model. To validate the combined FWI scheme, I evaluate its performance with several 2D synthetic datasets, and apply it to a full 3D field dataset. The synthetic results establish the combined FWI, as part of a two-stage workflow, as more accurate than an equivalent conventional workflow. The solution obtained from the field data reconciles well with in situ borehole measurements. Although combined FWI includes a global inversion, I demonstrate that it is nonetheless affordable and commercially practical for 3D field data.
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Ben, Hadj Ali Hafedh. "Three dimensional visco-acoustic frequency domain full waveform inversion." Nice, 2009. http://www.theses.fr/2009NICE4111.

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En exploration sismique, il est primordial d’extraire des données enregistrées les paramètres physiques étudiés du sous-sol afin de localiser correctement les réservoirs potentiels. Dans ce cas, l’imagerie sismique est l’une des plus importantes étapes dans cette quête. Le processus d’imagerie a reposé pendant longtemps sur une décomposition par échelles : la première étape consiste à construire un modèle de vitesse des bas nombres d’ondes qui explique correctement la cinématique du signal enregistré et la seconde à prendre en compte l’amplitude par migration afin de détecter les contrastes de réflectivité. Dans les années 80, une méthode d’imagerie quantitative, nommée inversion des formes d’ondes, a été proposée pour rassembler les deux étapes du processus d’imagerie au sein d’une approche intégrée. L’objectif de l’inversion des formes d’ondes est de construire simultanément tout le spectre des nombres d’ondes en exploitant l’ensemble des arrivées enregistrées par des dispositifs d’acquisition fournissant un large éclairage angulaire du milieu. La méthode est formulée sous la forme d’un problème d’optimisation pour lequel les différences entre les données enregistrées aux récepteurs et les données modélisées sont minimisées au sens des moindres carrés. Dans ce contexte scientifique, l’objectif de cette thèse est de développer et d’évaluer une méthode d’inversion des formes d’ondes en domaine fréquentiel pour la reconstruction de modèles du sous-sol 3-D dans le cadre de l’approximation visco-acoustique ou le milieu est paramétré par la vitesse de propagation des ondes de compression, la densité et l’atténuation
In seismic exploration, it is crucial to extract from the recorded data the physical of the subsurface in order to correctly locate the potential reservoirs. In this context, seismic imaging is an important step in this quest. The imaging process has been for a long time based on a two-scale strategy : the first step consists in building a smooth velocity model, which correctly explains the kinematics, and the second step in taking into account the dynamics through a migration process to detect reflectivity contrasts. In the eighties, a quantitative imaging method, called waveform inversion, has been proposed to bring together the two stages in an integrated approach. The objective of waveform inversion is to build the whole spectrum of wavenumbers by exploiting all the recorded arrivals acquired by wide aperture acquisitions. The method is formulated as a least squares optimization problem which aims to minimize the differences between the recorded and the modelled data. During the last few years, the waveform inversion method has been a main research topic in the academic and industrial communities. Many issues related to the starting anisotropy and elasticity, and the transition from 2-D to 3-D have been investigated. In this context, the objective of this thesis is to investigate and to develop a waveform inversion approach in the frequency domain and within the visco-acoustic approximation for the reconstruction of a 3-D subsurface model where the model is parametrized by the P-waves velocity, density and attenuation
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Commer, Michael. "Three-dimensional inversion of transient electromagnetic data a comparative study /." [S.l. : s.n.], 2003. http://deposit.ddb.de/cgi-bin/dokserv?idn=969850174.

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Shi, Weiqun 1965. "Advanced modeling and inversion techniques for three-dimensional geoelectrical surveys." Thesis, Massachusetts Institute of Technology, 1998. http://hdl.handle.net/1721.1/9878.

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Vieira, da Silva Nuno Miguel. "Three-dimensional modelling and inversion of controlled source electromagnetic data." Thesis, Imperial College London, 2011. http://hdl.handle.net/10044/1/9120.

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The marine Controlled Source Electromagnetic (CSEM) method is an important and almost self-contained discipline in the toolkit of methods used by geophysicists for probing the earth. It has increasingly attracted attention from industry during the past decade due to its potential in detecting valuable natural resources such as oil and gas. A method for three-dimensional CSEM modelling in the frequency domain is presented. The electric field is decomposed in primary and secondary components, as this leads to a more stable solution near the source position. The primary field is computed using a resistivity model for which a closed form of solution exists, for example a homogeneous or layered resistivity model. The secondary electric field is computed by discretizing a second order partial differential equation for the electric field, also referred in the literature as the vector Helmholtz equation, using the edge finite element method. A range of methods for the solution of the linear system derived from the edge finite element discretization are investigated. The magnetic field is computed subsequently, from the solution for the electric field, using a local finite difference approximation of Faraday’s law and an interpolation method. Tests, that compare the solution obtained using the presented method with the solution computed using alternative codes for 1D and 3D synthetic models, show that the implemented approach is suitable for CSEM forward modelling and is an alternative to existing codes. An algorithm for 3D inversion of CSEM data in the frequency domain was developed and implemented. The inverse problem is solved using the L-BFGS method and is regularized with a smoothing constraint. The inversion algorithm uses the presented forward modelling scheme for the computation of the field responses and the adjoint field for the computation of the gradient of the misfit function. The presented algorithm was tested for a synthetic example, showing that it is capable of reconstructing a resistivity model which fits the synthetic data and is close to the original resistivity model in the least-squares sense. Inversion of CSEM data is known to lead to images with low spatial resolution. It is well known that integration with complementary data sets mitigates this problem. It is presented an algorithm for the integration of an acoustic velocity model, which is known a priori, in the inversion scheme. The algorithm was tested in a synthetic example and the results demonstrate that the presented methodology is promising for the improvement of resistivity models obtained from CSEM data.
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Heath, Philip John. ""Algorithms for the three-dimensional inversion of potential field tensor data" /." Title page, contents and abstract only, 2002. http://web4.library.adelaide.edu.au/theses/09SB/09sbh438.pdf.

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Feng, Le. "An in-depth examination of two-dimensional Laplace inversion and application to three-dimensional holography." University of Dayton / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1406814392.

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Grayver, Alexander [Verfasser]. "Three-dimensional controlled-source electromagnetic inversion using modern computational concepts / Alexander Grayver." Berlin : Freie Universität Berlin, 2013. http://d-nb.info/1036872815/34.

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Grayver, Alexander V. [Verfasser]. "Three-dimensional controlled-source electromagnetic inversion using modern computational concepts / Alexander Grayver." Berlin : Freie Universität Berlin, 2013. http://nbn-resolving.de/urn:nbn:de:kobv:188-fudissthesis000000094631-2.

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Qin, Jizeng. "Three-dimensional DC resistivity forward modeling and inversion by finite-element method." Diss., The University of Arizona, 1995. http://hdl.handle.net/10150/187064.

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DC resistivity inversion is a method for determining underground geoelectrical structures from discrete measurements of electric potential made on the surface or within a borehole. In this dissertation, a fully three-dimensional (3-0) resistivity inversion algorithm has been developed. Based on a finite-element forward solution of Laplace's equation, the program estimates several thousand unknowns in a rectangular grid by the linearized least-squares method. In the first Chapter, the main 3-D forward modeling techniques were investigated. These techniques include boundary condition implementation, secondary field solution and matrix inversion. Among the various kinds of mixed boundary conditions, the terminal-impedance method is particularly well suited for 3-D resistivity modeling. Its implementation is simple, but eliminates the mesh-edge influence effectively. The advantage of calculating the secondary fields instead of the total fields is that a coarse mesh may be used to achieve the same accuracy, which turns out to be particularly beneficial for 3-D modeling. Compared with other relaxation methods to solve the linear system iteratively, the incomplete Cholesky conjugate gradient (lCCG) algorithm is superior in convergence rate. However, to guarantee a stable solution, this method also requires more regular elements. To make the program capable of overcoming non-uniqueness and handling large numbers of parameters, the sensitivity matrix construction and three constraining conditions are discussed in Chapter two. In 3-D DC resistivity inversion, computing the sensitivity matrix is an enormous task even when using reciprocity. This is because the total number of forward calculations used to construct the sensitivity matrix for one iteration of the inversion is on the order of the number of observed data. By applying the conjugate-gradient method to solve the least-squares system, our program only needs to calculate the product of the sensitivity matrix, or its transpose, with an arbitrary vector, which requires only two forward runs for each source point. The different constraining conditions were tested by several synthetic models. Although each method can give a unique solution, we found that in our case, the smoothest solution method will reduce the data error better than the other two methods, the damped method and the stochastic method. A number of simple but geophysically significant structures are also modeled to test the program. These include a single isolated block anomaly, three connected blocks representing a dipping fault and a multi-layer model. Data were simulated by both integral-equation and finite-element approximations. The main features of most resistivity models were identifiable in the inversion result. As an example of a 3-D inversion program application, a field data set was processed in Chapter three. The effects of some important parameters used in the program were discussed. The results were compared with a 2-D solution and the known geological structures around that area.
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Books on the topic "Three-dimensional inversion"

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Toomey, Douglas R. The tectonics and three-dimensional structure of spreading centers: Microearthquake studies and tomographic inversions. Woods Hole, Mass: Woods Hole Oceanographic Institution, 1987.

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Toomey, Douglas R. The tectonics and three-dimensional structure of spreading centers: Microearthquake studies and tomographic inversions. Woods Hole, Mass: Woods Hole Oceanographic Institution, 1987.

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H, McKee Edwin, United States. Dept. of Energy. Nevada Operations Office, and Geological Survey (U.S.), eds. The Silent Canyon caldera complex: Three-dimensional model based on drill-hole stratigraphy and gravity inversion. [Menlo Park, CA]: U.S. Geological Survey, 2000.

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Book chapters on the topic "Three-dimensional inversion"

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Palamodov, Victor P. "Inversion formulas for the three-dimensional ray transform." In Mathematical Methods in Tomography, 53–62. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/bfb0084507.

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Chiu, Ching-Sang, James H. Miller, Warren W. Denner, and James F. Lynch. "A Three-Dimensional, Broadband, Coupled Normal-Mode Sound Propagation Modeling Approach." In Full Field Inversion Methods in Ocean and Seismo-Acoustics, 57–62. Dordrecht: Springer Netherlands, 1995. http://dx.doi.org/10.1007/978-94-015-8476-0_10.

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Orris, Gregory J., Michael D. Collins, Grant B. Deane, and Michael B. Porter. "Three-Dimensional Sound Propagation in an Ocean Overlying an Elastic Bottom." In Full Field Inversion Methods in Ocean and Seismo-Acoustics, 69–75. Dordrecht: Springer Netherlands, 1995. http://dx.doi.org/10.1007/978-94-015-8476-0_12.

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Sturm, F., M. C. Pelissier, and D. Fattaccioli. "Development of an Acoustic Field Predictor in a Three Dimensional Oceanic Environment." In Full Field Inversion Methods in Ocean and Seismo-Acoustics, 63–68. Dordrecht: Springer Netherlands, 1995. http://dx.doi.org/10.1007/978-94-015-8476-0_11.

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Ye, Yixin, Zhiyong Zhang, Zelin Li, and Yong Zhao. "Three-Dimensional Resistivity and Induced Polarization Data Inversion with Image Focusing." In Technology and Application of Environmental and Engineering Geophysics, 107–12. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-3244-8_13.

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Park, Sung-Gyu, Dong-Ho Kim, Kee-Seok Nam, Yongsoo Jeong, and Paul V. Braun. "Fabrication of Three-Dimensional Nanostructured Materials by Interference Lithography and Inversion Process." In Materials Challenges and Testing for Manufacturing, Mobility, Biomedical Applications and Climate, 67–75. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11340-1_7.

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Sabbagh, L. David, and Harold A. Sabbagh. "An Eddy-Current Model and Inversion Algorithms for Three-Dimensional Flaw Reconstruction." In Review of Progress in Quantitative Nondestructive Evaluation, 635–42. Boston, MA: Springer US, 1985. http://dx.doi.org/10.1007/978-1-4615-9421-5_70.

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Awad, Mohamed, and Megume Mizoue. "Tomographic Inversion for the Three-dimensional Seismic Velocity Structure of the Aswan Region, Egypt." In Induced Seismicity, 193–207. Basel: Birkhäuser Basel, 1995. http://dx.doi.org/10.1007/978-3-0348-9238-4_16.

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Dargaville, R. J., and I. Simmonds. "Calculating CO2 fluxes by data assimilation coupled to a three dimensional mass balance inversion." In Inverse Methods in Global Biogeochemical Cycles, 255–64. Washington, D. C.: American Geophysical Union, 2000. http://dx.doi.org/10.1029/gm114p0255.

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Yamaguchi, Takuma, Tsuyoshi Ichimura, Kohei Fujita, Muneo Hori, Lalith Wijerathne, and Naonori Ueda. "Data-Driven Approach to Inversion Analysis of Three-Dimensional Inner Soil Structure via Wave Propagation Analysis." In Lecture Notes in Computer Science, 3–17. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-50420-5_1.

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Conference papers on the topic "Three-dimensional inversion"

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Tian, Lei, Justin Lee, and George Barbastathis. "Compressive holographic inversion of particle scattering." In Digital Holography and Three-Dimensional Imaging. Washington, D.C.: OSA, 2011. http://dx.doi.org/10.1364/dh.2011.dma6.

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Tian, Lei, Justin Lee, and George Barbastathis. "Compressive holographic inversion of particle scattering." In Digital Holography and Three-Dimensional Imaging. Washington, D.C.: OSA, 2011. http://dx.doi.org/10.1364/dh.2011.dwc27.

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Eaton, Perry A., and Gerald W. Hohmann. "Three‐dimensional electromagnetic inversion." In SEG Technical Program Expanded Abstracts 1988. Society of Exploration Geophysicists, 1988. http://dx.doi.org/10.1190/1.1892218.

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Anthony, Berdeu, Flasseur Olivier, Méès Loïc, Denis Loïc, Momey Fabien, Olivier Thomas, Grosjean Nathalie, and Fournier Corinne. "Reconstruction of in-line holograms combining model fitting and image-based regularized inversion." In Digital Holography and Three-Dimensional Imaging. Washington, D.C.: OSA, 2019. http://dx.doi.org/10.1364/dh.2019.w2b.2.

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Pellerin, Louise, Jeffery M. Johnston, and Gerald W. Hohmann. "Three‐dimensional inversion of electromagnetic data." In SEG Technical Program Expanded Abstracts 1993. Society of Exploration Geophysicists, 1993. http://dx.doi.org/10.1190/1.1822486.

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Chatterjee, Monish R., Partha P. Banerjee, and Georges Nehmetallah. "Analysis of Beam Propagation in 90-Degree Holographic Recording and Readout Using Transfer Functions and Numerical 2D-Laplace Inversion." In Digital Holography and Three-Dimensional Imaging. Washington, D.C.: OSA, 2007. http://dx.doi.org/10.1364/dh.2007.pma6.

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Kaikkonen, P., and S. P. Sharma. "Three-Dimensional VLF and VLF-R Inversion." In 61st EAGE Conference and Exhibition. European Association of Geoscientists & Engineers, 1999. http://dx.doi.org/10.3997/2214-4609.201407947.

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Guiziou, Jean‐Luc, and Andre Haas. "Three‐dimensional traveltime inversion in anisotropic media." In SEG Technical Program Expanded Abstracts 1988. Society of Exploration Geophysicists, 1988. http://dx.doi.org/10.1190/1.1892164.

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Kumar, Arun, Le Wan, and Michael S. Zhdanov. "Regularization analysis of three‐dimensional magnetotelluric inversion." In SEG Technical Program Expanded Abstracts 2007. Society of Exploration Geophysicists, 2007. http://dx.doi.org/10.1190/1.2792467.

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Li, M., A. Abubakar, and T. M. Habashy. "A three‐dimensional model‐based inversion algorithm for electromagnetic data inversion." In SEG Technical Program Expanded Abstracts 2011. Society of Exploration Geophysicists, 2011. http://dx.doi.org/10.1190/1.3628139.

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Reports on the topic "Three-dimensional inversion"

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Booker, J. R. Two and three dimensional magnetotelluric inversion. Office of Scientific and Technical Information (OSTI), July 1994. http://dx.doi.org/10.2172/10163831.

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Booker, J. Two and three dimensional magnetotelluric inversion. Office of Scientific and Technical Information (OSTI), January 1993. http://dx.doi.org/10.2172/6602656.

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Booker, J. Two and three dimensional magnetotelluric inversion. Final report. Office of Scientific and Technical Information (OSTI), May 1993. http://dx.doi.org/10.2172/10147909.

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Newman, G. A., and D. L. Alumbaugh. Three-dimensional electromagnetic modeling and inversion on massively parallel computers. Office of Scientific and Technical Information (OSTI), March 1996. http://dx.doi.org/10.2172/212573.

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Booker, J. R. Two and three-dimensional magnetotelluric inversion. Technical report, December 1, 1991--May 31, 1994. Office of Scientific and Technical Information (OSTI), June 1994. http://dx.doi.org/10.2172/10163836.

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Shamsipour, P., M. Chouteau, P. Keating, and D. Marcotte. Three-dimensional stochastic inversion of gravity data: application to gravity data from the Matagami region, Quebec. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2010. http://dx.doi.org/10.4095/286079.

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Queralt, P., A. G. Jones, and J. Ledo. Deep electromagnetic imaging of the Bathurst No. 12 deposit, New Brunswick: three-dimensional forward modelling, two-dimensional inversion, and sensitivity tests. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2002. http://dx.doi.org/10.4095/213238.

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Sawyer, D. A., M. L. Anderson, T. G. Hildenbrand, E. H. McKee, and P. R. Rowley. The Silent Canyon Caldera Complex--A three-dimensional model based on drill-hole stratigraphy and gravity inversion. Office of Scientific and Technical Information (OSTI), December 1999. http://dx.doi.org/10.2172/15123.

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9

Ansari, S. M., E. M. Schetselaar, and J. A. Craven. Three-dimensional magnetotelluric modelling of the Lalor volcanogenic massive-sulfide deposit, Manitoba. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/328003.

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Abstract:
Unconstrained magnetotelluric inversion commonly produces insufficient inherent resolution to image ore-system fluid pathways that were structurally thinned during post-emplacement tectonic activity. To improve the resolution in these complex environments, we synthesized the 3-D magnetotelluric (MT) response for geologically realistic models using a finite-element-based forward-modelling tool with unstructured meshes and applied it to the Lalor volcanogenic massive-sulfide deposit in the Snow Lake mining camp, Manitoba. This new tool is based on mapping interpolated or simulated resistivity values from wireline logs onto unstructured tetrahedral meshes to reflect, with the help of 3-D models obtained from lithostratigraphic and lithofacies drillhole logs, the complexity of the host-rock geological structure. The resulting stochastic model provides a more realistic representation of the heterogeneous spatial distribution of the electric resistivity values around the massive, stringer, and disseminated sulfide ore zones. Both models were combined into one seamless tetrahedral mesh of the resistivity field. To capture the complex resistivity distribution in the geophysical forward model, a finite-element code was developed. Comparative analyses of the forward models with MT data acquired at the Earth's surface show a reasonable agreement that explains the regional variations associated with the host rock geological structure and detects the local anomalies associated with the MT response of the ore zones.
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Ansari, S. M., J. A. Craven, and E. Schetselaar. Three-dimensional forward modelling and inversion of magnetotelluric data using unstructured meshes for understanding realistic geological systems: method development, algorithms and model construction for the Lalor deposit, Manitoba. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2019. http://dx.doi.org/10.4095/313656.

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