Results 121 to 130 of about 267,234 (181)
Hamiltonian Monte Carlo AVA Inversion
Markov chain Monte Carlo algorithms are employed for accurate uncertainty appraisals in non-linear amplitude versus angle (AVA) inversions. The downside of these algorithms is the considerable number of samples needed to achieve stable posterior estimations.
Mattia Aleardi, Alessandro Salusti
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Petrophysical inversion of AVA data
ABSTRACTWe investigate the interactions between the elastic parameters,VP,VSand density, estimated by non‐linear inversion of AVA data, and the petrophysical parameters, depth (pressure), porosity, clay content and fluid saturation, of an actual gas‐bearing reservoir.
MAZZOTTI A, ZAMBONI E
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Joint inversion of AVA data for elastic parameters by bootstrapping
Computers and Geosciences, 2007A joint inversion method is developed to estimate the elastic constants of two elastic, homogeneous, isotropic media separated by a flat horizontal boundary. The method jointly uses P and S-converted wave reflection amplitude-versus-angle (AVA) data and seeks the Poisson's ratios of each layer, ratios of the densities and bulk modulus of the layers ...
Hulya Kurt
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Application of Optimal Transport to Exact Zoeppritz Equation AVA Inversion
IEEE Geoscience and Remote Sensing Letters, 2018Since most information on S-wave velocity and density exists in the middle to large angle range of seismic data, traditional inversion methods based on the Zoeppritz approximation have difficulty in obtaining satisfactory results. Therefore, as a high-accuracy amplitude varied with angle (AVA) inversion, exact Zoeppritz (EZ) equation inversion has ...
Cong Luo, Xiaohong Chen, Guangtan Huang
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AVA inversion of the top Utsira Sand reflection at the Sleipner field
Abstract Amplitude variation with angle (AVA) inversion is performed on the top Utsira Sand reflector at the Sleipner field, North Sea, Norway. This interface is of particular interest because of the accumulation of CO2 injected from a point deeper in the Utsira Sand.
Tor Erik Rabben, Bjørn Ursin
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Directional Total Variation Regularized High-Resolution Prestack AVA Inversion
IEEE Transactions on Geoscience and Remote Sensing, 2022Yangkang Chen, Yangkang Chen, Min Bai
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Registration-Free Multicomponent Joint AVA Inversion Using Optimal Transport
IEEE Transactions on Geoscience and Remote Sensing, 2022Yangkang Chen, Yangkang Chen, Cong Luo
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Transdimensional Seismic-Petrophysical AVA Inversion
82nd EAGE Annual Conference & Exhibition, 2020We implement a transdimensional Bayesian inversion that infers petrophysical reservoir properties, layer boundary locations, and the associated uncertainties from pre-stack seismic data. Our algorithm employs a convolutional forward modelling based on the exact Zoeppritz equations and treats the number of model parameters (i.e. the number of layers) as
Mattia Aleardi, Alessandro Salusti
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Petrophysical linearised inversion of AVA data
SEG Technical Program Expanded Abstracts 2004, 2004In this work we extend a previously developed (Mazzotti & Zamboni, 2003) non-linear method of petrophysical AVA inversion to the linear case to reduce the computation time and to make feasible the inversion of large data volumes. At first a linear regression analysis of the well log data is performed and a set of petrophysical equations are calculated;
CHIAPPA F, MAZZOTTI, ALFREDO
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Probabilistic estimation of reservoir properties by means of wide-angle AVA inversion and a petrophysical reformulation of the Zoeppritz equations [PDF]
We apply a target-oriented amplitude versus angle (AVA) inversion to estimate the petrophysical properties of a gas-saturated reservoir in offshore Nile Delta. A linear empirical rock-physics model derived from well log data provides the link between the
Alfredo Mazzotti +2 more
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