@InProceedings{GomesRFBLVLSEB:2017:AnCoSo,
               author = "Gomes, Ver{\^o}nica Souza da Mota and Ramos, Adriana Queiroz and 
                         Ferreira, Andr{\'e} Cassino and Braga, Carolina Heliodora and 
                         Loureiro, Daniel Dias and Vieira, Hermani de Moraes and Lopes, 
                         Jos{\'e} Ricardo Moraes and Souza, Marcos Frederico and 
                         Esp{\'e}cie, Mariana de Assis and Barroso, Mariana Lucas and 
                         Nath",
                title = "An{\'a}lise de complexidade socioambiental como subs{\'{\i}}dio 
                         para as previs{\~o}es de produ{\c{c}}{\~a}o de petr{\'o}leo e 
                         g{\'a}s natural",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "6588--6595",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 18. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "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.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "60090",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSMD7B",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSMD7B",
           targetfile = "60090.pdf",
                 type = "Mapeamento",
        urlaccessdate = "27 abr. 2024"
}