Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Amin Shahbazi"'
Publikováno v:
IBRO Neuroscience Reports, Vol 15, Iss , Pp S115- (2023)
Externí odkaz:
https://doaj.org/article/5359b1cf014c437abae2279b7d1d55b5
Publikováno v:
Day 4 Thu, May 04, 2023.
The basic characteristics of a reservoir system are normally distributed spatially. Since there is no immediate measurement for the lithological parameters, they are to be computed from other geophysical logs or seismic attributes. In this study, oil
Publikováno v:
SSRN Electronic Journal.
Publikováno v:
ASEG Extended Abstracts. 2019:1-4
Seismic reservoir characterization is the stat-of-art in using various source of data. Generally, seismic data, due to their low resolution are randomly used in the final steps of reservoir charact...
Publikováno v:
International Communications in Heat and Mass Transfer. 126:105388
The thermo-fluid performance of static mixers was evaluated by numerical simulation of the flow field and heat transfer in turbulent flows. Four types of mixers_ namely: twisted tape turbulator, LPD, SMX, and KSM_ were studied at different Reynolds n
Publikováno v:
Studia Geophysica et Geodaetica. 60:662-678
Various seismic imaging methods are introduced to resolve some of the possible ambiguities of seismic interpretation in complex structures. Reducing dependency of imaging techniques on velocity or using diffraction energy for imaging more structural
Autor:
Amir Abass Babasafari, Thang Ka Fei, Vinesh Thiruchelvam, Mehrdad Soleimani Monfared, Amin Shahbazi
Publikováno v:
Journal of Asian Earth Sciences. 202:104541
Conventional geological modelling methods are not capable to provide precise and comprehensive model of the subsurface structures, when dealing with insufficient data. Knowledge based methods employing rule bases techniques are found vast application
Autor:
Amin Shahbazi
Publikováno v:
SEG 2018 Workshop: SEG Maximizing Asset Value Through Artificial Intelligence and Machine Learning, Beijing, China, 17–19 September 2018.