Gotowe bibliografie tematyczne / Full wavefrom inversion

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Gotowa bibliografia na temat „Full wavefrom inversion”

Autor: Grafiati
Data publikacji: 5 października 2024
Data aktualizacji: 31 lipca 2025

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Artykuły w czasopismach na temat "Full wavefrom inversion"

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Liu, Yike, Bin He, Huiyi Lu, Zhendong Zhang, Xiao-Bi Xie, and Yingcai Zheng. "Full-intensity waveform inversion." GEOPHYSICS 83, no. 6 (2018): R649—R658. http://dx.doi.org/10.1190/geo2017-0682.1.

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Many full-waveform inversion schemes are based on the iterative perturbation theory to fit the observed waveforms. When the observed waveforms lack low frequencies, those schemes may encounter convergence problems due to cycle skipping when the initial velocity model is far from the true model. To mitigate this difficulty, we have developed a new objective function that fits the seismic-waveform intensity, so the dependence of the starting model can be reduced. The waveform intensity is proportional to the square of its amplitude. Forming the intensity using the waveform is a nonlinear operati
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Ha, Wansoo, and Changsoo Shin. "Laplace-domain full-waveform inversion of seismic data lacking low-frequency information." GEOPHYSICS 77, no. 5 (2012): R199—R206. http://dx.doi.org/10.1190/geo2011-0411.1.

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The lack of the low-frequency information in field data prohibits the time- or frequency-domain waveform inversions from recovering large-scale background velocity models. On the other hand, Laplace-domain waveform inversion is less sensitive to the lack of the low frequencies than conventional inversions. In theory, frequency filtering of the seismic signal in the time domain is equivalent to a constant multiplication of the wavefield in the Laplace domain. Because the constant can be retrieved using the source estimation process, the frequency content of the seismic data does not affect the
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Zhang, Tuo, and Christoph Sens-Schönfelder. "Adjoint envelope tomography for scattering and absorption using radiative transfer theory." Geophysical Journal International 229, no. 1 (2021): 566–88. http://dx.doi.org/10.1093/gji/ggab457.

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SUMMARY To investigate the small-scale elastic structure of the subsurface at length scales below the resolution limits of waveform tomography, envelopes of high-frequency scattered seismic waveforms have been used with a variety of approaches. However, a rigorous framework for the iterative inversion of seismogram envelopes to image heterogeneity and high-frequency attenuation comparable to full waveform inversion (FWI) is missing. We present the mathematical framework for an iterative full envelope inversion using forward and adjoint simulations of the radiative transfer equations, in full a
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Smithyman, Brendan R., and Ronald M. Clowes. "Waveform tomography of field vibroseis data using an approximate 2D geometry leads to improved velocity models." GEOPHYSICS 77, no. 1 (2012): R33—R43. http://dx.doi.org/10.1190/geo2011-0076.1.

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Waveform tomography, a combination of traveltime tomography (or inversion) and waveform inversion, is applied to vibroseis first-arrival data to generate an interpretable model of P-wave velocity for a site in the Nechako Basin, south-central British Columbia, Canada. We use constrained 3D traveltime inversion followed by 2D full-waveform inversion to process long-offset (14.4 km) first-arrival refraction waveforms, resulting in a velocity model of significantly higher detail than a conventional refraction-statics model generated for a processing workflow. The crooked-line acquisition of the d
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AlTheyab, Abdullah, and G. T. Schuster. "Wavefront picking for 3D tomography and full-waveform inversion." GEOPHYSICS 81, no. 6 (2016): B201—B210. http://dx.doi.org/10.1190/geo2015-0544.1.

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We have developed an efficient approach for picking first-break wavefronts on coarsely sampled time slices of 3D shot gathers. Our objective was to compute a smooth initial velocity model for multiscale full-waveform inversion (FWI). Using interactive software, first-break wavefronts were geometrically modeled on time slices with a minimal number of picks. We picked sparse time slices, performed traveltime tomography, and then compared the predicted traveltimes with the data in-between the picked slices. The picking interval was refined with iterations until the errors in traveltime prediction
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Xing, Zhen, and Alfredo Mazzotti. "Two-grid full-waveform Rayleigh-wave inversion via a genetic algorithm — Part 2: Application to two actual data sets." GEOPHYSICS 84, no. 5 (2019): R815—R825. http://dx.doi.org/10.1190/geo2018-0800.1.

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We have applied our two-grid genetic-algorithm Rayleigh-wave full-waveform inversion (FWI) to two actual data sets acquired in Luni (Italy) and Grenoble (France), respectively. Because our technique used 2D elastic finite-difference modeling for solving the forward problem, the observed data were 3D to 2D corrected prior to the inversion. To limit the computing time, both inversions focused on predicting low-resolution, smooth models by using quite coarse inversion grids. The wavelets for FWI were estimated directly from the observed data by using the Wiener method. In the Luni case, due to th
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Zhang, Zhen-dong, and Tariq Alkhalifah. "Local-crosscorrelation elastic full-waveform inversion." GEOPHYSICS 84, no. 6 (2019): R897—R908. http://dx.doi.org/10.1190/geo2018-0660.1.

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Full-waveform inversion (FWI) in its classic form is a method based on minimizing the [Formula: see text] norm of the difference between the observed and simulated seismic waveforms at the receiver locations. The objective is to find a subsurface model that reproduces the full waveform including the traveltimes and amplitudes of the observed seismic data. However, the widely used [Formula: see text]-norm-based FWI faces many issues in practice. The point-wise comparison of waveforms fails when the phase difference between the compared waveforms of the predicted and observed data is larger than
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Maurer, Hansruedi, Stewart A. Greenhalgh, Edgar Manukyan, Stefano Marelli, and Alan G. Green. "Receiver-coupling effects in seismic waveform inversions." GEOPHYSICS 77, no. 1 (2012): R57—R63. http://dx.doi.org/10.1190/geo2010-0402.1.

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Seismic waveform-inversion offers opportunities for detailed characterization of the subsurface. However, its full potential can only be exploited when any systematic source and receiver effects are either carefully avoided or appropriately accounted for during the inversions. Repeated crosshole measurements in the Mont Terri (Switzerland) underground laboratory have revealed that receiver coupling may significantly affect the seismic waveforms. More seriously, coupling conditions may vary during the course of a monitoring experiment. To address this problem, we have developed a novel scheme t
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Lu, Cai, Jijun Liu, Liyuan Qu, Jianbo Gao, Hanpeng Cai, and Jiandong Liang. "Resource-Efficient Acoustic Full-Waveform Inversion via Dual-Branch Physics-Informed RNN with Scale Decomposition." Applied Sciences 15, no. 2 (2025): 941. https://doi.org/10.3390/app15020941.

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Full-waveform velocity inversion has long been a primary focus in seismic exploration. Full-waveform inversion techniques employing physics-informed recurrent neural networks (PIRNNs) have recently gained significant scholarly attention. However, these approaches demand considerable storage to capture spatiotemporal seismic wave propagation fields and their gradient information, often exceeding the memory capabilities of current GPU resources during field data processing. This study proposes a full-waveform inversion method utilizing a dual-branch PIRNN architecture to effectively minimize GPU
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Bleibinhaus, Florian, and Stéphane Rondenay. "Effects of surface scattering in full-waveform inversion." GEOPHYSICS 74, no. 6 (2009): WCC69—WCC77. http://dx.doi.org/10.1190/1.3223315.

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In full-waveform inversion of seismic body waves, often the free surface is ignored on grounds of computational efficiency. A synthetic study was performed to investigate the effects of this simplification. In terms of size and frequency, the test model and data conform to a real long-offset survey of the upper crust across the San Andreas fault. Random fractal variations are superimposed on a background model with strong lateral and vertical velocity variations ranging from 1200 to 6800 m/s. Synthetic data were computed and inverted for this model and different topographies. A fully viscoelas
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Rozprawy doktorskie na temat "Full wavefrom inversion"

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Guo, Gaoshan. "Inversion de la forme d'onde complète à source étendue dans le domaine temporel : théorie, algorithme et application." Electronic Thesis or Diss., Université Côte d'Azur, 2024. http://www.theses.fr/2024COAZ5014.

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La Full waveform inversion (FWI) est devenue la méthode d'imagerie de référence en exploration géophysique. FWI utilise les formes d'ondes complètes pour imager le sous-sol avec une résolution d'un demi longueur d'onde. Etant donné la dimension de l'espace des données et des modèles, la FWI est implémentée avec des méthodes d'optimisation locale sur un espace de recherche réduit où l'équation d'onde est résolue exactement à chaque itération. Cela requiert des modèles initiaux précis pour que les données simulées prédisent les données enregistrées sans saut de phase. Pour relâcher cette conditi
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Thomassen, Espen. "Full-waveform inversion studies." Thesis, Norwegian University of Science and Technology, Department of Electronics and Telecommunications, 2008. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-9722.

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<p>In this master thesis, full-waveform inversion (FWI) was applied to a synthetic, and very complex, geological structure containing a salt body. The main objective was to evaluate the capabilities of FWI to estimate velocities in this context, and more specially below the salt. Seismic depth imaging is now the preferred seismic imaging tool for today's most challenging exploration projects. Seismic depth imaging problem usually requires the definition of a smooth background velocity model before determining the short wavelength component of the structure by pre-stack depth migration. It is
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Irabor, Kenneth Otabor. "Reflection full waveform inversion." Thesis, Imperial College London, 2016. http://hdl.handle.net/10044/1/60594.

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The Full Waveform Inversion (FWI) gradient is composed of a low wavenumber tomographic component and a high wavenumber migration component. A successful application of FWI requires that the low wavenumber parts of the model be recovered before the high wavenumbers. This process becomes difficult in datasets dominated by pre-critical angle reflection energies. Reflection waveform inversion (RWI) has been proposed as an alternative to help bootstrap the FWI method for reflection data. In this thesis, I have made a novel contribution to RWI using Finite Di fference Explicit Wavefi eld Decompositi
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Guasch, Lluis. "3D elastic full-waveform inversion." Thesis, Imperial College London, 2012. http://hdl.handle.net/10044/1/9974.

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Full Waveform Inversion (FWI) is a depth imaging technique that takes advantage of the full information contained in recorded seismic data. FWI provide high resolution images of subsurface properties, usually seismic velocities or related parameters, although in theory it could image any property used to formulate the wave equation. The computational cost of the methodology has historically limited its application to 3D acoustic approximations but recent developments in hardware capabilities have increased computer power to the point that more realistic approximations are viable. In this work
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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 m
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Kamath, Nishant. "Full-waveform inversion in 2D VTI media." Thesis, Colorado School of Mines, 2016. http://pqdtopen.proquest.com/#viewpdf?dispub=10116167.

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<p> Full-waveform inversion (FWI) is a technique designed to produce a high-resolution model of the subsurface by using information contained in entire seismic waveforms. This thesis presents a methodology for FWI in elastic VTI (transversely isotropic with a vertical axis of symmetry) media and discusses synthetic results for heterogeneous VTI models. </p><p> First, I develop FWI for multicomponent data from a horizontally layered VTI model. The reflectivity method, which permits computation of only PP reflections or a combination of PP and PSV events, is employed to model the data. The Gau
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Li, Xiang. "Sparsity promoting seismic imaging and full-waveform inversion." Thesis, University of British Columbia, 2015. http://hdl.handle.net/2429/54255.

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This thesis will address the large computational costs of solving least-squares migration and full-waveform inversion problems. Least-squares seismic imaging and full-waveform inversion are seismic inversion techniques that require iterative minimizations of large least-squares misfit functions. Each iteration requires an evaluation of the Jacobian operator and its adjoint, both of which require two wave-equation solves for all sources, creating prohibitive computational costs. In order to reduce costs, we utilize randomized dimensionality reduction techniques, reducing the number of sources u
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Roberts, Mark Alvin. "Full waveform inversion of walk-away VSP data." Paris, Institut de physique du globe, 2007. http://www.theses.fr/2007GLOB0020.

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Du fait de l’épuisement des réserves de pétrole, l’exploration et la production sont réalisées dans des environnements de plus en plus complexes. Faire de l’imagerie sismique sous le sel allochtone (par exemple dômes de sel) demeure une tâche difficile à cause du fait contraste de vitesse dentre le sel et les sédiments voisins et les structures très complexes produites par les déplacements de sel. Les nappes de sel allochtone couvrent de nombreuses régions potentiellement productives dans l’offshore profond du Golfe du Mexique. Forer la base du sel est une tâche extrêmement difficile en raison
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Al-Yaqoobi, Ahmed Musallam Ali. "Full-waveform inversion to 3D seismic land data." Thesis, Imperial College London, 2013. http://hdl.handle.net/10044/1/10927.

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Full-waveform inversion (FWI) is a technique that seeks to find a high-resolution high-fidelity model of the Earth's subsurface that is capable of matching individual seismic waveforms, within an original raw field dataset, trace by trace. The method begins from a best-guess starting model, which is then iteratively improved using a sequence of linearized local inversions to solve a fully non-linear problem. In principle, FWI can be used to recover any physical property that has an influence upon the seismic wavefield, but in practice the technique has been used predominantly to recover P-wave
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Egorov, Anton. "Full waveform inversion of time-lapse VSP data." Thesis, Curtin University, 2018. http://hdl.handle.net/20.500.11937/79285.

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Vertical seismic profile (VSP) is one of the technologies for monitoring hydrocarbon production and CO2 geosequestration. However, quantitative interpretation of time-lapse VSP is challenging due to its irregular distribution of source-receiver offsets. One way to overcome this challenge is to use full waveform inversion (FWI), which does not require regular offsets. We present a workflow of elastic FWI applied to offset vertical seismic profile data for the purpose of identification and estimation of time-lapse changes introduced by injection of 15,000 t of CO2-rich gas mixture at 1.5 km dept
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Książki na temat "Full wavefrom inversion"

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Chen, Po, and En-Jui Lee. Full-3D Seismic Waveform Inversion. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-16604-9.

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Fichtner, Andreas. Full Seismic Waveform Modelling and Inversion. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-15807-0.

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service), SpringerLink (Online, ed. Full Seismic Waveform Modelling and Inversion. Springer-Verlag Berlin Heidelberg, 2011.

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Fichtner, Andreas. Full Seismic Waveform Modelling and Inversion. Springer, 2013.

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Fichtner, Andreas. Full Seismic Waveform Modelling and Inversion. Springer, 2011.

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Chen, Po, and En-Jui Lee. Full-3D Seismic Waveform Inversion: Theory, Software and Practice. Springer, 2015.

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Chen, Po, and En-Jui Lee. Full-3D Seismic Waveform Inversion: Theory, Software and Practice. Springer International Publishing AG, 2016.

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Singh, Satish Chandra. Wave propogation in anisotropic media and full waveform inversion. 1987.

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Chen, Po, and En-Jui Lee. Full-3D Seismic Waveform Inversion: Theory, Software and Practice. Springer London, Limited, 2015.

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Al-Khalifah, Tariq. Full waveform inversion in an anisotropic world Where are the parameters hiding? (EET 10). EAGE Publications bv, 2014. http://dx.doi.org/10.3997/9789073834835.

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Części książek na temat "Full wavefrom inversion"

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Hanasoge, Shravan. "Full Waveform Inversion." In SpringerBriefs in Mathematics. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-27330-3_4.

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Köhn, Daniel, Manuel Zolchow, Rebekka Mecking, et al. "Seismic full waveform inversion in archaeological prospecting." In Advances in On- and Offshore Archaeological Prospection. Universitätsverlag Kiel | Kiel University Publishing, 2023. http://dx.doi.org/10.38072/978-3-928794-83-1/p4.

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Seismic full waveform inversion is introduced as novel high-resolution imaging tool in archaeological prospection. The full waveform inversion approach allows the high-resolution characterization of low-contrast sedimentary layers, high-contrast stone wall structures and air-filled cavities.
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Chen, Po, and En-Jui Lee. "Introduction." In Full-3D Seismic Waveform Inversion. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-16604-9_1.

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Chen, Po, and En-Jui Lee. "Anelastic Wave Propagation (AWP)." In Full-3D Seismic Waveform Inversion. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-16604-9_2.

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Chen, Po, and En-Jui Lee. "Green’s Functions." In Full-3D Seismic Waveform Inversion. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-16604-9_3.

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Chen, Po, and En-Jui Lee. "Data Sensitivity Kernels." In Full-3D Seismic Waveform Inversion. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-16604-9_4.

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Chen, Po, and En-Jui Lee. "Optimization Algorithms." In Full-3D Seismic Waveform Inversion. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-16604-9_5.

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Chen, Po, and En-Jui Lee. "CVM-S4.26." In Full-3D Seismic Waveform Inversion. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-16604-9_6.

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Fichtner, Andreas. "Preliminaries." In Full Seismic Waveform Modelling and Inversion. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15807-0_1.

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Fichtner, Andreas. "The Frequency-Domain Discrete Adjoint Method." In Full Seismic Waveform Modelling and Inversion. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15807-0_10.

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Streszczenia konferencji na temat "Full wavefrom inversion"

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Liu, Hai, Zhijun Long, Chen Qiu, Feng Han, and Qing Huo Liu. "Reverse-time migration and full wavefrom inversion for subsurface imaging." In 2016 Progress in Electromagnetic Research Symposium (PIERS). IEEE, 2016. http://dx.doi.org/10.1109/piers.2016.7734272.

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Fuse, S., H. Mikada, and J. Takekawa. "Full Waveform Inversion of Cross-Dipole Acoustic Waveforms." In International Petroleum Technology Conference. International Petroleum Technology Conference, 2016. http://dx.doi.org/10.2523/18726-ms.

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Fuse, S., H. Mikada, and J. Takekawa. "Full Waveform Inversion of Cross-Dipole Acoustic Waveforms." In International Petroleum Technology Conference. International Petroleum Technology Conference, 2016. http://dx.doi.org/10.2523/iptc-18726-ms.

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Beraus, S., D. Köhn, T. Bohlen, H. Buness, T. Burschil, and G. Gabriel. "High-Resolution Shear Wave Crosshole Full-Waveform Inversion." In Third EAGE Conference on Seismic Inversion. European Association of Geoscientists & Engineers, 2024. http://dx.doi.org/10.3997/2214-4609.202438039.

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Allemand, T., and G. Lambaré. "Combining Full Waveform Inversion and Tomography: Full Waveform Inversion-guided Tomography." In 77th EAGE Conference and Exhibition 2015. EAGE Publications BV, 2015. http://dx.doi.org/10.3997/2214-4609.201412591.

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Mardan, A., B. Giroux, and G. Fabien-Ouellet. "Time-Lapse Seismic Full Waveform Inversion Using Improved Cascaded Method." In Second EAGE Conference on Seismic Inversion. European Association of Geoscientists & Engineers, 2022. http://dx.doi.org/10.3997/2214-4609.202229003.

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Jiao*, Kun, Dong Sun, Xin Cheng, and Denes Vigh. "Adjustive full waveform inversion." In SEG Technical Program Expanded Abstracts 2015. Society of Exploration Geophysicists, 2015. http://dx.doi.org/10.1190/segam2015-5901541.1.

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Kadu, A., and R. Kumar. "Decentralized Full-Waveform Inversion." In 80th EAGE Conference and Exhibition 2018. EAGE Publications BV, 2018. http://dx.doi.org/10.3997/2214-4609.201801230.

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Zhang, X., and A. Curtis. "Variational Full Waveform Inversion." In 2nd EAGE Workshop on Quantifying Uncertainty in Depth Imaging. European Association of Geoscientists & Engineers, 2023. http://dx.doi.org/10.3997/2214-4609.202379012.

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Bai, J., and O. Yilmaz. "Full-Waveform Imaging Inversion." In 85th EAGE Annual Conference & Exhibition - Workshop Programme. European Association of Geoscientists & Engineers, 2024. http://dx.doi.org/10.3997/2214-4609.202410904.

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Raporty organizacyjne na temat "Full wavefrom inversion"

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Preston, Leiph. Computation of Kernels for Full Waveform Seismic Inversion Using Parelasti. Office of Scientific and Technical Information (OSTI), 2018. http://dx.doi.org/10.2172/1468379.

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Simmons, N., and C. Morency. Report on the LLNL Global Full-waveform Inversion Workflow and Progress. Office of Scientific and Technical Information (OSTI), 2021. http://dx.doi.org/10.2172/1813693.

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Pan, Wenyong. Multiparameter full-waveform inversion in complex media applied to walk-away vertical seismic profile data. Office of Scientific and Technical Information (OSTI), 2018. http://dx.doi.org/10.2172/1489919.

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Harding, Jennifer, Hongkyu Yoon, Daniel Lizama Molina, and Leiph Preston. Deep Learning for Full Waveform Inversion of Elastic Active-Source Seismic Data to Estimate P-Wave Velocity Models. Office of Scientific and Technical Information (OSTI), 2024. http://dx.doi.org/10.2172/2462924.

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