Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Mohammad Shahraeeni"'
Publikováno v:
Nawaz, M A, Curtis, A, Shahraeeni, M S & Gerea, C 2020, ' Variational Bayesian Inversion of Seismic Attributes Jointly for Geological Facies and Petrophysical Rock Properties ', Geophysics, pp. 1-78 . https://doi.org/10.1190/geo2019-0163.1
Seismic attributes (derived quantities) such as P-wave and S-wave impedances and P-wave to S-wave velocity ratios may be used to classify subsurface volume of rock into geologic facies (distinct lithology-fluid classes) using pattern recognition meth
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5db71d740bf2f19259fcc49c29a6a44d
https://hdl.handle.net/20.500.11820/4de6cf63-6b48-4630-90bd-e4c3452a2009
https://hdl.handle.net/20.500.11820/4de6cf63-6b48-4630-90bd-e4c3452a2009
Autor:
Mohammad Shahraeeni
Publikováno v:
Mathematical Geosciences. 51:155-186
During a conventional multiple-point statistics simulation, the algorithm may not find a matched neighborhood in the training image for some unsimulated pixels. These pixels are referred to as the dead-end pixels; the existence of the dead-end pixels
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b41d618e36f57c1a3ae45783a8266cff
https://doi.org/10.1007/s11004-018-9761-y
https://doi.org/10.1007/s11004-018-9761-y
Publikováno v:
SEG Technical Program Expanded Abstracts 2019.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0023a96c303fb461ee3cae26efd58453
https://doi.org/10.1190/segam2019-3215300.1
https://doi.org/10.1190/segam2019-3215300.1
Autor:
Mohammad Shahraeeni
Publikováno v:
Proceedings.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::847ff8a3a2de4a20b3426333cfb89e45
https://doi.org/10.3997/2214-4609.201800793
https://doi.org/10.3997/2214-4609.201800793
Autor:
Mohammad Shahraeeni
Publikováno v:
Mathematical Geosciences. 51:265-265
In the original version of this article, unfortunately Figure 9 was wrong due to a typesetting mistake. The original article has been corrected.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b273bfb340040369e3d744260744ba1b
https://doi.org/10.1007/s11004-018-9767-5
https://doi.org/10.1007/s11004-018-9767-5
Autor:
P.T. Thore, Mohammad Shahraeeni
Publikováno v:
Proceedings.
Seismic inversion for elastic parameters is prone to uncertainties in the inversion parameters such as wavelet and a priori vertical and lateral correlation lengths of elastic parameters. In current inversion tools, the inversion parameters are assum
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fc8db57691d497e3b32f371750bd6ef6
https://doi.org/10.3997/2214-4609.20141202
https://doi.org/10.3997/2214-4609.20141202
Autor:
Mohammad Shahraeeni
Publikováno v:
Proceedings.
In this paper, we present a method for quantitative analysis of uncertainty in 4D pressure-saturation inversion results due to uncertainty in reservoir parameters. We show that small uncertainties in the reservoir properties (e.g., porosity) between
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7f3836e0c2f90df901aeaba799746bbb
https://doi.org/10.3997/2214-4609.20148839
https://doi.org/10.3997/2214-4609.20148839
Publikováno v:
Shahraeeni, M S, Chao, G & Curtis, A 2012, ' Fast probabilistic petrophysical mapping of reservoirs from 3D seismic data ', Geophysics, vol. 77, no. 3 . https://doi.org/10.1190/geo2011-0340.1
A fast probabilistic inversion method for 3D petrophysical property prediction from inverted prestack seismic data has been developed and tested on a real data set. The inversion objective is to estimate the joint probability density function (PDF) o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::41e7c3f8009bcc9e67a20387d624fb6a
https://hdl.handle.net/20.500.11820/3bafa9c4-d82c-4b46-99ca-50f6df74cd4d
https://hdl.handle.net/20.500.11820/3bafa9c4-d82c-4b46-99ca-50f6df74cd4d
Autor:
Mohammad Shahraeeni, Andrew Curtis
Publikováno v:
SEG Technical Program Expanded Abstracts 2011.
In the context of geophysical inversion, a petrophysical forward function provides the link between properties that are directly geophysically detectable (e.g., seismic velocities and attenuation) and rock and fluid properties. Due to heterogeneity o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bca8da93597398023a442898b72af792
https://doi.org/10.1190/1.3627658
https://doi.org/10.1190/1.3627658
Publikováno v:
SEG Technical Program Expanded Abstracts 2011.
We applied a fast probabilistic inversion technique based on neural networks to predict 3D petrophysical properties from inverted pre-stack seismic data. The objective of petrophysical inversion is to estimate the joint probability density function (
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::afe34937fd6009cce7223ca22a535ec4
https://doi.org/10.1190/1.3627591
https://doi.org/10.1190/1.3627591