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Hamiltonian Monte Carlo AVA Inversion

open access: yes82nd EAGE Annual Conference & Exhibition, 2020
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
openaire   +2 more sources

Petrophysical inversion of AVA data

open access: yesGeophysical Prospecting, 2003
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
openaire   +3 more sources
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Joint inversion of AVA data for elastic parameters by bootstrapping

Computers and Geosciences, 2007
A 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
exaly   +2 more sources

Application of Optimal Transport to Exact Zoeppritz Equation AVA Inversion

IEEE Geoscience and Remote Sensing Letters, 2018
Since 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
exaly   +3 more sources

AVA inversion of the top Utsira Sand reflection at the Sleipner field

open access: yesGeophysics, 2011
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
openaire   +2 more sources

Directional Total Variation Regularized High-Resolution Prestack AVA Inversion

IEEE Transactions on Geoscience and Remote Sensing, 2022
Yangkang Chen, Yangkang Chen, Min Bai
exaly   +3 more sources

Registration-Free Multicomponent Joint AVA Inversion Using Optimal Transport

IEEE Transactions on Geoscience and Remote Sensing, 2022
Yangkang Chen, Yangkang Chen, Cong Luo
exaly   +3 more sources

Transdimensional Seismic-Petrophysical AVA Inversion

82nd EAGE Annual Conference & Exhibition, 2020
We 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
openaire   +1 more source

Petrophysical linearised inversion of AVA data

SEG Technical Program Expanded Abstracts 2004, 2004
In 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
openaire   +2 more sources

Probabilistic estimation of reservoir properties by means of wide-angle AVA inversion and a petrophysical reformulation of the Zoeppritz equations [PDF]

open access: yesJournal of Applied Geophysics, 2017
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
exaly   +2 more sources

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