Main Article Content
One of the main environmental concerns associated with the exploration and production of oil fields is related to the generation of produced water, this is a strategic challenge for companies since is resposible for the largest share of waste genretared by the oil industry. This theme is presented as multidisciplinary since it is a study with dynamic models in an environmental area linked to the oil industry. Thus, the present work aims to evaluate the performance of dynamic environmental sustainability, from the generation of produced water from onshore oil fields located at the coastal basins of Brazil with higher oil production. The data were made available by the ANP (National Petroleum Agency) from its website, totalizing 67 fields during the years 2014, 2015 and 2016. In addition, dynamic Data Envelopment Analysis was used to determine dynamic efficiency. The results showed a positive effect of the variables directional wells, vertical wells and age, the first two variable showed a fundamental role in determining environmental efficiencies. Therefore, the results allowed to state that there is a poor management of the technological resources in onshore fields of the Brazilian coastal basins, generating excessive amounts of produced water.
This work is licensed under a Creative Commons Attribution-NoDerivatives 4.0 International License.
Submission of an article implies that the work described has not been published previously (except in the form of an abstract or as part of a published lecture or academic thesis), that it is not under consideration for publication elsewhere, that its publication is approved by all authors and tacitly or explicitly by the responsible authorities where the work was carried out, and that, if accepted, will not be published elsewhere in the same form, in English or in any other language, without the written consent of the Publisher. The Editors reserve the right to edit or otherwise alter all contributions, but authors will receive proofs for approval before publication.
Copyrights for articles published in IJIER journals are retained by the authors, with first publication rights granted to the journal. The journal/publisher is not responsible for subsequent uses of the work. It is the author's responsibility to bring an infringement action if so desired by the author.
Agência Internacional de Energia (2017). Demandas mundiais de petróleo e gás. Disponível em: https://www.iea.org/media/omrreports/tables/2017-06-14.pdf . Acesso em: 01/04/2018.
Assunção, M. V. D., Vieira, M. M., & Almeida, M. R. (2018a). The influence of oil well on the water generation from the potiguar basin/Brazil. Acta Scientiarum. Technology, 40, e38403-e38403.
Assunção, M. V. D., Vieira, M. M., & de Almeida, M. R. (2018b). Fatores influenciadores na produção indesejada da água produzida de petróleo: um estudo na bacia Potiguar/Brasil. HOLOS, 2, 146-160.
Bevilacqua, M., & Braglia, M. (2002). Environmental efficiency analysis for ENI oil refineries. Journal of cleaner production, 10(1), 85-92.
Cook, W. D., & Seiford, L. M. (2009). Data envelopment analysis (DEA)–Thirty years on. European journal of operational research, 192(1), 1-17.
Dyson, R. G., Allen, R., Camanho, A. S., Podinovski, V. V., Sarrico, C. S., & Shale, E. A. (2001). Pitfalls and protocols in DEA. European Journal of operational research, 132(2), 245-259.
Francisco, C., Aparecida, C., Rodrigues de Almeida, M., & Ribeiro da Silva, D. (2012). Efficiency in Brazilian refineries under different DEA technologies. International Journal of Engineering Business Management, 4(Godište 2012), 4-35.
Golany, B., & Roll, Y. (1989). An application procedure for DEA. Omega, 17(3), 237-250.
Hu, Z., Yan, S., Li, X., Yao, L., & Luo, Z. (2019). Evaluating the oil production and wastewater treatment efficiency by an extended two-stage network structure model with feedback variables. Journal of environmental management, 251, 109578.
Kao, C. (2013). Dynamic data envelopment analysis: A relational analysis. European Journal of Operational Research, 227(2), 325-330.
Khatib, Z., & Verbeek, P. (2003). Water to value-produced water management for sustainable field development of mature and green fields. Journal of Petroleum Technology, 55(01), 26-28.
Liu, J. S., Lu, L. Y., Lu, W. M., & Lin, B. J. (2013). Data envelopment analysis 1978–2010: A citation-based literature survey. Omega, 41(1), 3-15.
Mekaroonreung, M., & Johnson, A. L. (2010). Estimating the efficiency of American petroleum refineries under varying assumptions of the disposability of bad outputs. International Journal of Energy Sector Management, 4(3), 356-398.
Oke, D. M., & Kareem, S. D. (2013). An inter-temporal analysis of operational efficiency of oil firms: Further evidence from Nigeria. International Journal of Energy Economics and Policy, 3(2), 178.
Song, M., Zhang, J., & Wang, S. (2015). Review of the network environmental efficiencies of listed petroleum enterprises in China. Renewable and Sustainable Energy Reviews, 43, 65-71.
Sueyoshi, T., & Goto, M. (2012). Data envelopment analysis for environmental assessment: Comparison between public and private ownership in petroleum industry. European journal of operational research, 216(3), 668-678.
Sueyoshi, T., & Goto, M. (2012). Returns to scale and damages to scale under natural and managerial disposability: Strategy, efficiency and competitiveness of petroleum firms. Energy economics, 34(3), 645-662.
Sueyoshi, T., & Wang, D. (2014). Sustainability development for supply chain management in US petroleum industry by DEA environmental assessment. Energy Economics, 46, 360-374.
Sueyoshi, T., & Goto, M. (2015). DEA environmental assessment in time horizon: Radial approach for Malmquist index measurement on petroleum companies. Energy Economics, 51, 329-345.
Sueyoshi, T., Yuan, Y., & Goto, M. (2017). A literature study for DEA applied to energy and environment. Energy Economics, 62, 104-124.
Tavana, M., Khalili-Damghani, K., Arteaga, F. J. S., & Hosseini, A. (2019). A fuzzy multi-objective multi-period network DEA model for efficiency measurement in oil refineries. Computers & Industrial Engineering, 135, 143-155.
Venkatesan, A., & Wankat, P. C. (2017). Produced water desalination: An exploratory study. Desalination, 404, 328-340.