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Emilson Pereira Leite
Emilson Pereira Leite
Professor at the University of Campinas
在 unicamp.br 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
3D porosity prediction from seismic inversion and neural networks
EP Leite, AC Vidal
Computers & Geosciences 37 (8), 1174-1180, 2011
1002011
Artificial neural networks applied to mineral potential mapping for copper‐gold mineralizations in the Carajás Mineral Province, Brazil
EP Leite, CR de Souza Filho
Geophysical Prospecting 57 (6), 1049-1065, 2009
772009
Probabilistic neural networks applied to mineral potential mapping for platinum group elements in the Serra Leste region, Carajás Mineral Province, Brazil
EP Leite, CR de Souza Filho
Computers & Geosciences 35 (3), 675-687, 2009
702009
Matlab-modelling, programming and simulations
EP Leite
ABM Nasiruzzaman, 2010
502010
Spatial analysis of airborne geophysical data applied to geological mapping and mineral prospecting in the Serra Leste Region, Carajás Mineral Province, Brazil
CR de Souza Filho, AR Nunes, EP Leite, LVS Monteiro, RP Xavier
Surveys in Geophysics 28, 377-405, 2007
362007
Well log denoising and geological enhancement based on discrete wavelet transform and hybrid thresholding
BCZ Honório, RD Drummond, AC Vidal, AC Sanchetta, EP Leite
Energy exploration & exploitation 30 (3), 417-433, 2012
332012
Independent component spectral analysis
BCZ Honório, AC Sanchetta, EP Leite, AC Vidal
Interpretation 2 (1), SA21-SA29, 2014
242014
Flow units in complex carbonate reservoirs: A study case of the Brazilian pre-salt
TB Rebelo, A Batezelli, NHS Mattos, EP Leite
Marine and Petroleum Geology 140, 105639, 2022
222022
TEXTNN—A MATLAB program for textural classification using neural networks
EP Leite, CR de Souza Filho
Computers & Geosciences 35 (10), 2084-2094, 2009
222009
Structural and stratigraphic feature delineation and facies distribution using seismic attributes and well log analysis applied to a Brazilian carbonate field
JF Bueno, BCZ Honório, MC Kuroda, AC Vidal, EP Leite
Interpretation 2 (1), SA83-SA92, 2014
202014
Airborne geophysical data analysis applied to geological interpretation in the Alta Floresta Gold Province, MT
D Barbuena, CR de Souza Filho, EP Leite, M Miguel Junior, RR de Assis, ...
Brazilian Journal of Geophysics 31 (1), 169-186, 2013
202013
Contributions of gamma‐ray spectrometry to terrestrial impact crater studies: The example of Serra da Cangalha, northeastern Brazil
MAR Vasconcelos, EP Leite, AP Crósta
Geophysical research letters 39 (4), 2012
192012
Electrofacies characterization using self-organizing maps
MC Kuroda, AC Vidal, EP Leite, RD Drummond
Brazilian Journal of Geophysics 30 (3), 287-299, 2012
172012
Avaliação do uso de dados aerogeofísicos para mapeamento geológico e prospecção mineral em terrenos intemperizados: o exemplo de Serra Leste, província mineral de Carajás
TA Carrino, CR Souza Filho, EP Leite
Revista Brasileira de Geofísica 25, 307-320, 2007
162007
Facies recognition using a smoothing process through fast independent component analysis and discrete cosine transform
AC Sanchetta, EP Leite, BCZ Honório
Computers & geosciences 57, 175-182, 2013
132013
Matlab-Modelling
EP Leite
Programming and simulations, Janeza Trdine 9, 51000, 2010
122010
A new methodological framework for geophysical sensor combinations associated with machine learning algorithms to understand soil attributes
DC Mello, GV Veloso, MG Lana, FAO Mello, RR Poppiel, DRO Cabrero, ...
Geoscientific Model Development 15 (3), 1219-1246, 2022
112022
3D gravimetric investigation of the Cerro do Jarau structure, Rio Grande do Sul, Brazil
BB Giacomini, EP Leite, AP Crósta
Meteoritics & planetary science 52 (4), 565-583, 2017
102017
Insights about the formation of a complex impact structure formed in basalt from numerical modeling: The Vista Alegre structure, southern Brazil
MAR Vasconcelos, FF Rocha, AP Crósta, K Wünnemann, N Güldemeister, ...
Meteoritics & Planetary Science 54 (10), 2373-2383, 2019
82019
Cooperative inversion of seismic reflection and gravity data: An object-based approach
MM Gonçalves, EP Leite
Journal of Applied Geophysics 167, 42-50, 2019
82019
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