Seguir
Leonardo Azevedo
Leonardo Azevedo
CERENA, Instituto Superior Técnico, Universidade de Lisboa, Portugal
Email confirmado em tecnico.ulisboa.pt - Página inicial
Título
Citado por
Citado por
Ano
Geostatistical methods for reservoir geophysics
L Azevedo, A Soares
Springer, 2017
912017
Integration of well data into geostatistical seismic amplitude variation with angle inversion for facies estimation
L Azevedo, R Nunes, A Soares, EC Mundin, GS Neto
Geophysics 80 (6), M113-M128, 2015
442015
Multidimensional scaling for the evaluation of a geostatistical seismic elastic inversion methodology
L Azevedo, R Nunes, P Correia, A Soares, L Guerreiro, GS Neto
Geophysics 79 (1), M1-M10, 2014
362014
A comparison of deep machine learning and Monte Carlo methods for facies classification from seismic data
D Grana, L Azevedo, M Liu
Geophysics 85 (4), WA41-WA52, 2020
322020
Geostatistical seismic inversion with direct sequential simulation and co-simulation with multi-local distribution functions
R Nunes, A Soares, L Azevedo, P Pereira
Mathematical Geosciences 49 (5), 583-601, 2017
312017
Integration of uncertain data in geostatistical modelling
A Soares, R Nunes, L Azevedo
Mathematical Geosciences 49 (2), 253-273, 2017
312017
Stochastic seismic AVO inversion
L Azevedo, R Nunes, A Soares, GS Neto
75th EAGE Conference & Exhibition incorporating SPE EUROPEC 2013, cp-348-01007, 2013
312013
Seismic attributes in hydrocarbon reservoir characterization
L Azevedo, GR Pereira
Wyd. Universidade de Aveiro, Departamento de Geociências, Aveiro 1, 165, 2009
272009
Geostatistical seismic Amplitude‐versus‐angle inversion
L Azevedo, R Nunes, A Soares, GS Neto, TS Martins
Geophysical Prospecting 66 (S1), 116-131, 2018
262018
First record of a Vestimentifera (Polychaeta: Siboglinidae) from chemosynthetic habitats in the western Mediterranean Sea—Biogeographical implications and future exploration
A Hilário, MC Comas, L Azevedo, L Pinheiro, MK Ivanov, MR Cunha
Deep Sea Research Part I: Oceanographic Research Papers 58 (2), 200-207, 2011
262011
Geostatistical COVID-19 infection risk maps for Portugal
L Azevedo, MJ Pereira, MC Ribeiro, A Soares
International Journal of Health Geographics 19 (1), 1-8, 2020
242020
Geostatistical seismic inversion for non‐stationary patterns using direct sequential simulation and co‐simulation
H Sabeti, A Moradzadeh, FD Ardejani, L Azevedo, A Soares, P Pereira, ...
Geophysical Prospecting 65 (S1), 25-48, 2017
232017
Geostatistical rock physics AVA inversion
L Azevedo, D Grana, C Amaro
Geophysical Journal International 216 (3), 1728-1739, 2019
192019
Uncertainty quantification in Bayesian inverse problems with model and data dimension reduction
D Grana, L Passos de Figueiredo, L Azevedo
Geophysics 84 (6), M15-M24, 2019
182019
Seismic attributes in hydrocarbon reservoirs characterization
LAGR Pereira
Universidade de Aveiro, 2009
182009
Acceleration of stochastic seismic inversion in OpenCL-based heterogeneous platforms
T Ferreirinha, R Nunes, L Azevedo, A Soares, F Pratas, P Tomás, N Roma
Computers & Geosciences 78, 26-36, 2015
132015
Generative adversarial network as a stochastic subsurface model reconstruction
L Azevedo, G Paneiro, A Santos, A Soares
Computational Geosciences 24 (4), 1673-1692, 2020
112020
U-net generative adversarial network for subsurface facies modeling
C Zhang, X Song, L Azevedo
Computational Geosciences 25 (1), 553-573, 2021
92021
High-dimensional geostatistical history matching
J Carneiro, L Azevedo, M Pereira
Computational Geosciences, 1-16, 2018
92018
Integrating portable X-ray fluorescence (pXRF) measurement uncertainty for accurate soil contamination mapping
A Horta, L Azevedo, J Neves, A Soares, L Pozza
Geoderma 382, 114712, 2021
82021
O sistema não pode efectuar a operação agora. Tente novamente mais tarde.
Artigos 1–20