Merge pull request #44 from petrobras/other_improvements

Adapt the 3W to the new default branch name (main)

Author: ricardoevvargas

LIST_OF_CITATIONS.md

@@ -2,7 +2,7 @@ As far as we know, the 3W dataset was useful and cited by the works listed below
 
 1. R.E.V. Vargas, C.J. Munaro, P.M. Ciarelli. A methodology for generating datasets for development of anomaly detectors in oil wells based on Artificial Intelligence techniques. I Congresso Brasileiro em Engenharia de Sistemas em Processos. 2019. https://www.ufrgs.br/psebr/wp-content/uploads/2019/04/Abstract_A019_Vargas.pdf.
 
-1. R.E.V. Vargas. Base de dados e benchmarks para prognóstico de anomalias em sistemas de elevação de petróleo. Universidade Federal do Espírito Santo. Doctoral thesis. 2019. https://github.com/petrobras/3W/raw/master/docs/doctoral_thesis_ricardo_vargas.pdf.
+1. R.E.V. Vargas. Base de dados e benchmarks para prognóstico de anomalias em sistemas de elevação de petróleo. Universidade Federal do Espírito Santo. Doctoral thesis. 2019. https://github.com/petrobras/3W/raw/main/docs/doctoral_thesis_ricardo_vargas.pdf.
 
 1. Yan Li, Tingjian Ge, Cindy Chen. Data Stream Event Prediction Based on Timing Knowledge and State Transitions. PVLDB, 13(10): 1779-1792. 2020. http://www.vldb.org/pvldb/vol13/p1779-li.pdf.
 
@@ -15,7 +15,7 @@ Journal of Computational and Applied Mathematics. 2020. https://doi.org/10.1016/
 
 1. Eduardo S.P. Sobrinho, Felipe L. Oliveira, Jorel L.R. Anjos, Clemente Gonçalves, Marcus V.D. Ferreira, Lucas G.O. Lopes, William W.M. Lira, João P.N. Araújo, Thiago B. Silva, Lucas P. Gouveia. Uma ferramenta para detectar anomalias de produção utilizando aprendizagem profunda e árvore de decisão. Rio Oil & Gas Expo and Conference 2020. 2020. https://icongresso.ibp.itarget.com.br/arquivos/trabalhos_completos/ibp/3/final.IBP0938_20_27112020_085551.pdf.
 
-1. I.M.N. Oliveira. Técnicas de inferência e previsão de dados como suporte à análise de integridade de revestimentos. Universidade Federal de Alagoas. Master's degree dissertation. 2020. https://github.com/petrobras/3W/raw/master/docs/master_degree_dissertation_igor_oliveira.pdf.
+1. I.M.N. Oliveira. Técnicas de inferência e previsão de dados como suporte à análise de integridade de revestimentos. Universidade Federal de Alagoas. Master's degree dissertation. 2020. https://github.com/petrobras/3W/raw/main/docs/master_degree_dissertation_igor_oliveira.pdf.
 
 1. Luiz Müller, Marcelo Ramos Martins. Proposition of Reliability-based Methodology for Well Integrity Management During Operational Phase. 30th European Safety and Reliability Conference and 15th Probabilistic Safety Assessment and Management Conference. 2020. https://doi.org/10.3850%2F978-981-14-8593-0_3682-cd.
 
@@ -27,7 +27,7 @@ Journal of Computational and Applied Mathematics. 2020. https://doi.org/10.1016/
 
 1. R.S.F. Nascimento, B.H.G. Barbosa, R.E.V. Vargas, I.H.F. Santos. Fault detection with Stacked Autoencoders and pattern recognition techniques in gas lift operated oil wells. CILAMCE-PANACM. 2021.
 
-1. R.S.F. Nascimento. Detecção de anomalias em poços de produção de petróleo offshore com a utilização de autoencoders e técnicas de reconhecimento de padrões. Universidade Federal de Lavras. Master's degree dissertation. 2021. https://github.com/petrobras/3W/raw/master/docs/master_degree_dissertation_rodrigo_nascimento.pdf.
+1. R.S.F. Nascimento. Detecção de anomalias em poços de produção de petróleo offshore com a utilização de autoencoders e técnicas de reconhecimento de padrões. Universidade Federal de Lavras. Master's degree dissertation. 2021. https://github.com/petrobras/3W/raw/main/docs/master_degree_dissertation_rodrigo_nascimento.pdf.
 
 1. Taimur Hafeez, Lina Xu, Gavin Mcardle. Edge Intelligence for Data Handling and Predictive Maintenance in IIOT. IEEE Access. 2021. https://ieeexplore.ieee.org/document/9387301.
 
@@ -39,7 +39,7 @@ Journal of Computational and Applied Mathematics. 2020. https://doi.org/10.1016/
 
 1. B.G. Carvalho, R.E.V. Vargas, R.M. Salgado, C.J. Munaro, F.M. Varejão. Hyperparameter Tuning and Feature Selection for Improving Flow Instability Detection in Offshore Oil Wells. IEEE 19th International Conference on Industrial Informatics (INDIN). 2021. https://doi.org/10.1109/INDIN45523.2021.9557415.
 
-1. B.G. Carvalho. Evaluating machine learning techniques for detection of flow instability events in offshore oil wells. Universidade Federal do Espírito Santo. Master's degree dissertation. 2021. https://github.com/petrobras/3W/raw/master/docs/master_degree_dissertation_bruno_carvalho.pdf.
+1. B.G. Carvalho. Evaluating machine learning techniques for detection of flow instability events in offshore oil wells. Universidade Federal do Espírito Santo. Master's degree dissertation. 2021. https://github.com/petrobras/3W/raw/main/docs/master_degree_dissertation_bruno_carvalho.pdf.
 
 1. E. M. Turan, J. Jäschke. Classification of undesirable events in oil well operation. 23rd International Conference on Process Control (PC). 2021. https://doi.org/10.1109/PC52310.2021.9447527.
 
@@ -49,7 +49,7 @@ Journal of Computational and Applied Mathematics. 2020. https://doi.org/10.1016/
 
 1. A.O. de Salvo Castro, M. de Jesus Rocha Santos, F.R. Leta, C.B.C. Lima, G.B.A. Lima. Unsupervised Methods to Classify Real Data from Offshore Wells. American Journal of  Operations Research. 2021. https://doi.org/10.4236/ajor.2021.115014.
 
-1. W. Fernandes Junior. Comparação de classificadores para detecção de anomalias em poços produtores de petróleo. Instituto Federal do Espírito Santo. Master's degree dissertation. 2022. https://github.com/petrobras/3W/raw/master/docs/master_degree_dissertation_wander_junior.pdf.
+1. W. Fernandes Junior. Comparação de classificadores para detecção de anomalias em poços produtores de petróleo. Instituto Federal do Espírito Santo. Master's degree dissertation. 2022. https://github.com/petrobras/3W/raw/main/docs/master_degree_dissertation_wander_junior.pdf.
 
 1. E.G.S. Nascimento, I.S. Figueirêdo, L.L.N. Guarieiro. A Novel Self Deep Learning Semi-Supervised Approach to Classify Unlabeled Multivariate Time Series Data. GPU Technology Conference Digital Spring. 2022. https://www.nvidia.com/en-us/on-demand/session/gtcspring22-s41405.
 
@@ -67,6 +67,6 @@ Journal of Computational and Applied Mathematics. 2020. https://doi.org/10.1016/
 
 1. M.C.K. de Oliveira, R.L.A. Pinto, J.N.E. Carneiro. A digital transformation journey in flow assurance. T&B Petroleum magazine. 2022. https://tbpetroleum.com.br/revistas/2022/41.
 
-1. G.G. Momm. Detecção de anomalias em sensores de poços submarinos com uso de redes neurais artificiais Specialization Monograph. 2022. https://github.com/petrobras/3W/raw/master/docs/specialization_monograph_gustavo_momm.pdf.
+1. G.G. Momm. Detecção de anomalias em sensores de poços submarinos com uso de redes neurais artificiais Specialization Monograph. 2022. https://github.com/petrobras/3W/raw/main/docs/specialization_monograph_gustavo_momm.pdf.
 
 1. L.H.S. Mello, T.O Santos, F.M.Varejão, M.P. Ribeiro, A.L Rodrigues. Ensemble of metric learners for improving electrical submersible pump fault diagnosis. Journal of Petroleum Science and Engineering. 2022. https://doi.org/10.1016/j.petrol.2022.110875.

overviews/_baseline/main.ipynb

@@ -922,8 +922,8 @@
     "\n",
     "More information about these variables can be obtained from the following publicly available documents:\n",
     "\n",
-    "* ***Option in Portuguese***: R.E.V. Vargas. Base de dados e benchmarks para prognóstico de anomalias em sistemas de elevação de petróleo. Universidade Federal do Espírito Santo. Doctoral thesis. 2019. https://github.com/petrobras/3W/raw/master/docs/doctoral_thesis_ricardo_vargas.pdf.\n",
-    "* ***Option in English***: B.G. Carvalho. Evaluating machine learning techniques for detection of flow instability events in offshore oil wells. Universidade Federal do Espírito Santo. Master's degree dissertation. 2021. https://github.com/petrobras/3W/raw/master/docs/master_degree_dissertation_bruno_carvalho.pdf."
+    "* ***Option in Portuguese***: R.E.V. Vargas. Base de dados e benchmarks para prognóstico de anomalias em sistemas de elevação de petróleo. Universidade Federal do Espírito Santo. Doctoral thesis. 2019. https://github.com/petrobras/3W/raw/main/docs/doctoral_thesis_ricardo_vargas.pdf.\n",
+    "* ***Option in English***: B.G. Carvalho. Evaluating machine learning techniques for detection of flow instability events in offshore oil wells. Universidade Federal do Espírito Santo. Master's degree dissertation. 2021. https://github.com/petrobras/3W/raw/main/docs/master_degree_dissertation_bruno_carvalho.pdf."
    ]
   },
   {