Data analytics applied to the analysis of petroleum production in Brazil / Análise de dados aplicada à análise da produção de petróleo no Brasil

Alessandra Brito Leal, Thiago Rafael da Silva Moura


We mine the set of data provided by the ANP (Agência Nacional do Petróleo e Gás - National Oil and Gas Agency), of petroleum production and distribution in Brazilian territory. We use modern data science techniques to collect, analyze, treat and model hydrocarbon production data from all production units operating in the period from February 2009 to 2020. We highlight the high production of hydrocarbons in the Brazilian territory related to the performance of Petrobras, responsible for about 95% of Brazilian production. We report the discovery of an apparent paradox: the Tupi field presents the highest daily production, however it is not the largest national producer, a position that belongs to the Marlim field, yet we present the data analytics techniques that we use to solve this paradox.


Data Science, Business Intelligence, Petroleum Production

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