Rafael Pires de Lima

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Youzuo LinAssociate Professor, University of North Carolina at Chapel HillAdresse e-mail validée de unc.edu
David DuarteOvintivAdresse e-mail validée de ovintiv.com
Roger SlattProfessor of Petroleum Geology and Geophysics, University of OklahomaAdresse e-mail validée de ou.edu
Charles NicholsonUniversity of OklahomaAdresse e-mail validée de ou.edu
FNU SuriaminOklahoma Geological Survey, University of OklahomaAdresse e-mail validée de ou.edu
Morteza KarimzadehAsst. Prof. in Geography; Affiliate, Computer Science, University of Colorado BoulderAdresse e-mail validée de colorado.edu
Matthew J. PranterDirector, School of Geosciences; Eberly Family Chair; Professor-Geosciences, University of OklahomaAdresse e-mail validée de ou.edu
Behzad VahediPhD Student, University of Colorado BoulderAdresse e-mail validée de colorado.edu
Javier TellezAssistant Professor of Geosciences, Colorado Mesa UniversityAdresse e-mail validée de coloradomesa.edu
Karelia La MarcaPhD. student, University of OklahomaAdresse e-mail validée de ou.edu
Marcos Vinícius FerreiraServiço Geológico do Brasil, CPRMAdresse e-mail validée de cprm.gov.br
Walter N MeierNational Snow and Ice Data CenterAdresse e-mail validée de colorado.edu
Nick HughesNorwegian Meteorological InstituteAdresse e-mail validée de met.no
Oriol FaliveneShell - Subsurface Data and DigitalAdresse e-mail validée de shell.com
Rachel W. ClarkUniversity of HoustonAdresse e-mail validée de central.uh.edu
Henry A Galvis-PortillaUniversity of CalgaryAdresse e-mail validée de ucalgary.ca
Sumit VermaEndeavor Energy ResourcesAdresse e-mail validée de alumni.ou.edu
Daniela BecerraUniversity of CalgaryAdresse e-mail validée de ucalgary.ca
Francisco Ferreira de CamposPesquisador em Geociências, Serviço Geológico do BrasilAdresse e-mail validée de sgb.gov.br
Lennon Infante-PaezPh.D. Student in Geophysics, The University of OklahomaAdresse e-mail validée de ou.edu

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Rafael Pires de Lima

Data Scientist, VerAI Discoveries

Adresse e-mail validée de ver-ai.com

Deep Learning Data Science Earth Observation Geophysics


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Convolutional neural network for remote-sensing scene classification: Transfer learning analysis R Pires de Lima, K Marfurt Remote Sensing 12 (1), 86, 2019	285	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	75	2019
Petrographic microfacies classification with deep convolutional neural networks RP de Lima, D Duarte, C Nicholson, R Slatt, KJ Marfurt Computers & Geosciences 142, 104481, 2020	71	2020
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	70	2019
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	39	2020
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	39	2020
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	30	2020
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	28	2018
Pretraining Convolutional Neural Networks for Mudstone Petrographic Thin-Section Image Classification R Pires de Lima, D Duarte Geosciences 11 (8), 336, 2021	21	2021
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	21	2019
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	11	2019
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, RP de Lima, L Kleipool, JG Solum, P Zarian, ... AAPG Bulletin 106 (7), 1357-1372, 2022	10	2022
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	10	2018
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	8	2022
Leak Detection in Carbon Sequestration Projects Using Machine Learning Methods: Cranfield Site, Mississippi, USA S Sinha, R Pires De Lima, Y Lin, A Y Sun, N Symon, R Pawar, G Guthrie SPE Annual Technical Conference and Exhibition, 2020	8	2020
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	8	2019
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	8	2019
Comparison of clustering techniques to define chemofacies in mississippian rocks in the STACK Play, Oklahoma D Duarte, R Lima, R Slatt, K Marfurt American association of petroleum geologists search and discovery 42523, 2020	7	2020
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	6	2017
Model Ensemble With Dropout for Uncertainty Estimation in Sea Ice Segmentation Using Sentinel-1 SAR RP de Lima, M Karimzadeh IEEE Transactions on Geoscience and Remote Sensing 61, 1-15, 2023	5	2023

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