Results 151 to 160 of about 18,650 (210)
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Extended domain FWI via time warping
82nd EAGE Annual Conference & Exhibition, 2021Summary Overcoming cycle-skipping in Full Waveform Inversion (FWI) is a significant step toward enabling automation in velocity model building. This reduces the demand of acquiring very low frequency data and/or starting the inversion procedure from kinematically accurate models.
G. Huang +4 more
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FWI Velocity Model Building Experiences
Proceedings, 2018Full Waveform Inversion has been used to generate detailed models of shallow, subsurface velocity variations in some challenging areas. An accurate starting model was typically required to avoid cycle skipping. This could be minimised by incrementally increasing maximum offset, depth and traveltime over a number of iterations.
M.J. Hart, J. Sheng, S. Baldock, J. Mao
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Reflection FWI in MBTT Formulation
Proceedings, 2015Reflection FWI algorithm in Migration Based Travel Time (MBTT) formulation is presented. This approach is based on decomposition of the velocity model for two constituents: smooth propagator and rough depth reflector. Subsequent reformulation of the data misfit function leads to a new FWI statement.
G. Chavent +2 more
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Inversion-based Imaging: FWI beyond Velocity
82nd EAGE Annual Conference & Exhibition, 2021Summary Full waveform inversion (FWI) has been applied with great success to build velocity model, which is typically used in RTM or least squares reverse time migration (LSRTM) to produce high resolution images. With the fast advancements in the computer industry and the progress of the FWI algorithm, high resolution FWI has become common practices ...
Y. He, Y. He, H. Xing, Y. Huang, B. Wang
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Macrovelocity Reconstruction by Reflection FWI
78th EAGE Conference and Exhibition 2016, 2016The paper deals with development of reliable techniques of full waveform inversion which guarantee correct reconstruction of a macrovelocity model for reasonable acquisitions and frequency ranges. As reasonable we mean realistic offsets (about one-two depths of target objects) and temporal frequency above 5 – 7 Hz.
V. Tcheverda, G. Chavent, K. Gadylshin
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DIVERGÊNCIA KULLBACK-LEIBLER APLICADA A FWI
Revista Contemporânea, 2023A FWI (FUll-Waveform Inversion) é um dos métodos mais robustos para extrair informações sísmicas. Contudo, a norma L2 usada para medir a diferença entre dados sísmicos nem sempre é a melhor opção devido a sua alta sensibilidade a erros de dados. Propomos usar a divergência Kullback-Leibler como alternativa a norma L2 e apresentamos uma metodologia para
Gilberto Barbosa Neto Carvalho +2 more
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JMI-FWI: Cascading Workflow Using Joint Migration Inversion (JMI) and Full Waveform Inversion (FWI)
Second EAGE/PESGB Workshop on Velocities, 2019Summary Data driven Velocity Model Building (VMB) based on Full Waveform Inversion requires very broad band, especially low frequnecy data content to overcome the cycle skipping problem. In this paper we demonstrate how the Joint Migration Inversion method introduced by the DELHPI consortium group applied in a cascaded workflow to preduce a hich ...
G. Eisenberg-Klein +3 more
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T-matrix FWI for Fracture Parameters
Proceedings, 2015We present a full waveform inversion scheme based on the ray-Born approximation and t-matrix rock physic method. We show how the this theory can be implemented in a cost efficient way. The theory's advantages are that it may invert linearly for fracture densities, and for other fracture parameters, e.g.
I. Pilskog, M.E. López, M. Jakobsen
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Proceedings, 2014
Integrating migration velocity analysis (MVA) and full waveform inversion (FWI) can help reduce the high nonlinearity of the classic FWI objective function. The combination of inverting for the long and short wavelength components of the velocity model using a dual objective function that is sensitive to both components is still very expensive and have
T. Alkhalifah, Z. Wu
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Integrating migration velocity analysis (MVA) and full waveform inversion (FWI) can help reduce the high nonlinearity of the classic FWI objective function. The combination of inverting for the long and short wavelength components of the velocity model using a dual objective function that is sensitive to both components is still very expensive and have
T. Alkhalifah, Z. Wu
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A New Take on FWI - Wavefield Reconstruction Inversion
Proceedings, 2014We discuss a recently proposed novel method for waveform inversion: Wavefield Reconstruction Inversion (WRI). As opposed to conventional FWI – which attempts to minimize the error between observed and predicted data obtained by solving a wave equation – WRI reconstructs a wave-field from the data and extracts a model-update from this wavefield by ...
van Leeuwen, T, Herrmann, FJ, Peters, B
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