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Rafael Pires de Lima
Rafael Pires de Lima
Geoscience researcher, Geological Survey of Brazil
Verified email at cprm.gov.br
Title
Cited by
Cited by
Year
Convolutional neural network for remote-sensing scene classification: Transfer learning analysis
R Pires de Lima, K Marfurt
Remote Sensing 12 (1), 86, 2019
1212019
Convolutional neural networks as aid in core lithofacies classification
R Pires de Lima, F Suriamin, KJ Marfurt, MJ Pranter
Interpretation 7 (3), 1-50, 2019
40*2019
Deep convolutional neural networks as a geological image classification tool
RP de Lima, A Bonar, DD Coronado, K Marfurt, C Nicholson
The Sedimentary Record 17 (2), 4-9, 2019
252019
Principal component analysis and K-means analysis of airborne gamma-ray spectrometry surveys
RP de Lima, KJ Marfurt
SEG Technical Program Expanded Abstracts 2018, 2277-2281, 2018
182018
Petrographic microfacies classification with deep convolutional neural networks
RP de Lima, D Duarte, C Nicholson, R Slatt, KJ Marfurt
Computers & Geosciences 142, 104481, 2020
172020
Forecasting Megaelectron‐Volt Electrons Inside Earth's Outer Radiation Belt: PreMevE 2.0 Based on Supervised Machine Learning Algorithms
R Pires de Lima, Y Chen, Y Lin
Space Weather 18 (2), e2019SW002399, 2020
152020
Convolutional neural networks as an aid to biostratigraphy and micropaleontology: a test on Late Paleozoic microfossils
R PIRES DE LIMA, KF Welch, JE Barrick, KJ Marfurt, R Burkhalter, ...
Palaios 35 (9), 391-402, 2020
102020
Deep convolutional neural networks as an estimator of porosity in thin-section images for unconventional reservoirs
D Duarte-Coronado, J Tellez-Rodriguez, R Pires de Lima, K Marfurt, ...
SEG Technical Program Expanded Abstracts 2019, 3181-3184, 2019
92019
Normal or abnormal? Machine learning for the leakage detection in carbon sequestration projects using pressure field data
S Sinha, RP de Lima, Y Lin, AY Sun, N Symons, R Pawar, G Guthrie
International Journal of Greenhouse Gas Control 103, 103189, 2020
82020
Statistical controls on induced seismicity
S Sinha, Y Wen, R Pires De Lima, K Marfurt
Unconventional Resources Technology Conference, Houston, Texas, 23-25 July …, 2018
82018
Seismic Inversion Based SRV and Reserves Estimation for Shale Plays
S Sinha, KJ Marfurt, D Devegowda, R Pires de Lima, S Verma
SPE Annual Technical Conference and Exhibition, 2017
62017
Transforming seismic data into pseudo-RGB images to predict CO2 leakage using pre-learned convolutional neural networks weights
R Pires de Lima, Y Lin, KJ Marfurt
SEG Technical Program Expanded Abstracts 2019, 2368-2372, 2019
52019
Progress and Challenges in Deep Learning Analysis of Geoscience Images
RP De Lima, K Marfurt, D Duarte, A Bonar
81st EAGE Conference and Exhibition 2019 2019 (1), 1-5, 2019
52019
Geophysical data integration and machine learning for multi-target leakage estimation in geologic carbon sequestration
RP de Lima, Y Lin
SEG Technical Program Expanded Abstracts 2019, 2333-2337, 2019
42019
Pretraining Convolutional Neural Networks for Mudstone Petrographic Thin-Section Image Classification
R Pires de Lima, D Duarte
Geosciences 11 (8), 336, 2021
32021
Well-log attributes to map upward-fining and upward-coarsening parasequences
S Sinha, RP de Lima, J Qi, L Infante-Paez, K Marfurt
SEG Technical Program Expanded Abstracts 2018, 3337-3341, 2018
32018
PreMevE Update: Forecasting Ultra-relativistic Electrons inside Earth's Outer Radiation Belt
S Sinha, Y Chen, Y Lin, R Pires de Lima
Space Weather 19 (9), e2021SW002773, 2021
22021
Quantifying fault connectivity drilling hazards through simple flow computations
RAP De Lima, K Marfurt
SEG Technical Program Expanded Abstracts 2017, 2345-2349, 2017
22017
Generating a labeled data set to train machine learning algorithms for lithologic classification of drill cuttings
D Becerra, R Pires de Lima, H Galvis-Portilla, CR Clarkson
Interpretation 10 (3), SE85-SE100, 2022
12022
Lithofacies identification in cores using deep learning segmentation and the role of geoscientists: Turbidite deposits (Gulf of Mexico and North Sea)
O Falivene, NC Auchter, R Pires de Lima, L Kleipool, JG Solum, P Zarian, ...
AAPG Bulletin 106 (7), 1357-1372, 2022
1*2022
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