%0 Conference Proceedings
%4 sid.inpe.br/marte2/2017/10.27.15.51
%2 sid.inpe.br/marte2/2017/10.27.15.51.06
%@isbn 978-85-17-00088-1
%F 60090
%T Análise de complexidade socioambiental como subsídio para as previsões de produção de petróleo e gás natural
%D 2017
%A Gomes, Verônica Souza da Mota,
%A Ramos, Adriana Queiroz,
%A Ferreira, André Cassino,
%A Braga, Carolina Heliodora,
%A Loureiro, Daniel Dias,
%A Vieira, Hermani de Moraes,
%A Lopes, José Ricardo Moraes,
%A Souza, Marcos Frederico,
%A Espécie, Mariana de Assis,
%A Barroso, Mariana Lucas,
%A Nath,
%@electronicmailaddress veronica.gomes@epe.gov.br
%E Gherardi, Douglas Francisco Marcolino,
%E Aragão, Luiz Eduardo Oliveira e Cruz de,
%B Simpósio Brasileiro de Sensoriamento Remoto, 18 (SBSR)
%C Santos
%8 28-31 maio 2017
%I Instituto Nacional de Pesquisas Espaciais (INPE)
%J São José dos Campos
%P 6588-6595
%S Anais
%1 Instituto Nacional de Pesquisas Espaciais (INPE)
%X In order to reduce uncertainties and confer social and environmental responsibility to energy planning, the Brazilian Energy Research Office (EPE) has carried out environmental analyses, besides geological and infrastructure ones, as a basis to calculate the projection of Brazilian oil & gas (O&G) volumes until 2023. Such analysis took into account spatial location of environmental variables and O&G production unities polygons classified into two groups: unities that still belong to the Brazilian state and unities legally granted to private operator companies. Analyses were developed via GIS tools based on documents published by governmental institutions to indicate a perspective of complex environmental licensing processes and also public concerns in environmental matters. Wherever there was an overlay between a State unity and an environmentally sensible area, volumes of gas or oil proportional to the overlaid area were excluded from the production projections. To infer probable delays in the environmental licensing process that could hold back commercial production, granted unities were classified into high, medium and low environmental complexity and had a proportional licensing process deadline attributed to them. For the 10-Year Energy Plan 2023, a total of 765 unities were analyzed, 58 of those classified with high complexity, and only 20 had delays attributed to them, showing that, in general, the agency responsible for bidding process (ANP) and those consulted for the bid (federal and state environmental licensing agencies), as well as operators, are avoiding environmental complex areas.
%9 Mapeamento
%@language pt
%3 60090.pdf