AVALIAÇÃO ECONÔMICA DE RECURSOS EM SONDAS DE POÇOS DE PETRÓLEO E GÁS

Lelayne de Araújo Dutra; Jamerson Viegas Queiroz; Christian Luiz da Silva; Nilton Cesar Lima; Mariana Rodrigues de Almeida

doi:10.5585/exactaep.2021.19951

AVALIAÇÃO ECONÔMICA DE RECURSOS EM SONDAS DE POÇOS DE PETRÓLEO E GÁS

Lelayne de Araújo Dutra, Jamerson Viegas Queiroz, Christian Luiz da Silva, Nilton Cesar Lima, Mariana Rodrigues de Almeida

Resumo

A otimização dos recursos de uma organização coopera na redução de custos e/ou aumento da produtividade do setor, através do uso de instrumentos de apoio à decisão. No setor de poços de petróleo e gás, a operacionalização das sondas, como objeto a percrustar neste estudo, é considerado o elemento estratégico na identificação de oportunidades competitivas. Nesse contexto, o enfoque assenta-se sob o objetivo de desenvolver um modelo de Simulação com propósito de dimensionar a frota de recursos necessários para realizar a Desmontagem, Transporte e Montagem (DTM) de sondas de perfuração de poços terrestres de petróleo e gás. O trabalho baseou-se em análises de dados obtidos por meio de entrevistas com engenheiros e observações de operacionalização das sondas. O modelo de Simulação, possibilitou imitar o sistema, realizando testes sob diferentes cenários, e identificou a dimensão de recursos adequados para atender ao planejamento de DTM nas sondas de perfuração de forma eficiente.

Palavras-chave

Gestão de Projetos; Simulação; Petróleo e Gás.

Texto completo:

PDF

Referências

Altiok, T., & Melamed, B. (2007). Simulation Modeling and Analysis with Arena. Elsevier Press: Academic Press.

Balci, O. (1994). Validation, verification, and testing techniques throughout the life cycle of a simulation study. Annals of Operations Research, 53, 121-173.

Byun, EK, Kee, YS, Kim, JS, Deelman, E., & Maeng, S. (2011). BTS: Resource capacity estimate for time-targeted science workflows. Journal of Parallel and Distributed Computing, 71(6), 848-862. https://doi.org/10.1016/j.jpdc.2011.01.008.

Carrasco, RA, Iyengar, G., & Stein, C. (2018). Resource cost aware scheduling. European Journal of Operational Research, 269, 621–632. https://doi.org/10.1016/j.ejor.2018.02.059.

Chen, Z., Lan, Y., & Ma, N. (2018). Career incentive contract design in project management under companies’ competition and asymmetric information. Computers & Industrial Engineering, 118, 210-225. https://doi.org/10.1016/j.cie.2018.02.024.

El-Rayes, K., & Moselhi, O. (2001). Optimization Resource Utilization for Repetitive Construction Projects. Journal of Construction Engineering and Management, 127(1), 18-26. https://doi.org/10.1061/(ASCE)0733-9364(2001)127:1(18).

Erling, SA, Anders, D., & Vagasar, AL (2009). Organizational rationality and project management. International Journal of Managing Projects in Business, 2(4), 479-498. https://doi.org/10.1108/17538370910991106.

Eriksson, E., Larsson, J., & Pesämaa, O. (2017). Managing complex projects in the infrastructure sector: a structural equation model for flexibility-focused project management. International Journal of Project Management, 35(8), 1512-1523. https://doi.org/10.1016/j.ijproman.2017.08.015.

Gabbay, MS (2015). Uma metodologia para estimar os custos de perfuração de poços de petróleo: estudo de caso de dois campos onshore na região Nordeste do Brasil. Tese de Doutorado, Universidade Federal do Rio Grande do Norte, Natal, RN, Brasil. https://repositorio.ufrn.br/jspui/handle/123456789/21922.

Heldman, K. (2003). Gerência de Projetos: Guia para o exame oficial PMI. Rio de Janeiro: Campos.

Hillier, FS, & Lieberman, GJ (2010). Introdução a Pesquisa Operacional. 8. Ed. Porto Alegre: McGraw-Hill.

ISO. INTERNATIONAL STANDARD ORGANIZATION. (1997). ISO 10006: Quality management -Guidelines to quality in project management. PMBOK®.

Kaa, G., Papachristos, G., & Bruijn, H. (2018). The governance of platform development processes: A metaphor and a simulation model. Technological Forecasting and Social Change, 135, 113-125. https://doi.org/10.1016/j.techfore.2018.08.021.

Kamrani, M., Abadi, SMHE, & Golroudbary, SR (2014). Traffic simulation of two adjacent unsignalized T-junctions during rush hours using Arena software. Simulation Modelling Practice and Theory, 49, 167-179. https://doi.org/10.1016/j.simpat.2014.09.006.

Karaa, F., & Nasr, A. (1986). Resource Management in Construction. Journal of Construction Engineering and Management, 112(1), 28-34.

Kelton, WD, Sodowski, RP, & Sturrock, DT (2007). Simulation With Arena. 4. Ed., New York: Mc Graw Hill.

Kuncoro, W., & Suriani, W. O. Achieving sustainable competitive advantage through product innovation and market driving. Asia Pacific Management Review, 23, 186-192. https://doi.org/10.1016/j.apmrv.2017.07.006.

Lappe, M., & Spang, K. (2014). Investments in project management are profitable: A case study-based analysis of the relationship between the costs and benefits of project management. International Journal of Project Management, 32, 603–612. https://doi.org/10.1016/j.ijproman.2013.10.005.

Law, AM, & Kelton, WD (2000). Simulation Modeling and Analysis. 3. Ed., Nova York: McGraw-Hill.

Lee, DE (2005). Probability of project completion using stochastic project scheduling simulation (SPSS). Journal of Construction Engineering and Management, 131(3), 3103-3118. https://doi.org/10.1061/(ASCE)0733-9364(2005)131:3(310).

Leu, SS, & Hwang, ST (2001). Optimal Repetitive Model with Shareable Resource Constraint. Journal of Construction Engineering and Management, 127(4), 270-280. https://doi.org/10.1061 / (ASCE) 0733-9364 (2001) 127: 4 (270).

Montgomery, DC (2005). Design and Analysis of Experiments. 6. Ed. New York: J. Wiley.

Padilla, E., & Carr, R (1991). Resource Strategies for Dynamic Project Management. Journal of Construction Engineering and Management, 117(2), 279-293. http://dx.doi.org/10.1061/(ASCE)0733-9364(1991)117:2(279).

Paiva, EL, Carvalho JR., JM de, & Fensterseifer, JE (2008). Estratégia de Produção e Operações: Conceitos, Melhores Práticas, Visão de Futuro. 2. Ed. Porto Alegre: Bookman.

Paragon (2012). Minicurso ARENA. XXXII Encontro Nacional de engenharia de Produção. Bento Gonçalves, Brasil.

Possi, M. (2006). Gerenciamento de Projetos Guia do Profissional: Abordagem Geral e Definição de Escopo. Rio de Janeiro: Brasport.

Prado, D. (1999). Teoria das Filas e da Simulação. Belo Horizonte: INDG.

PMI - PROJECT MANAGEMENT INSTITUTE. (2013). A guide to the project management body of knowledge. 5. Ed. PMBOK. Newton, PA: PMI Standards.

Senouci, A., & Adeli, H. (2001). Resource Scheduling Using Neural Dynamics Model of Adeli and Park. Journal of Construction Engineering and Management, 127(1), 28-34. https://doi.org/10.1061 / (ASCE) 0733-9364 (2001) 127: 1 (28).

Son, YJ, Wysk, RA (2001). Automatic simulation model generation for simulation-based real-time shop floor control. Computers in Industry, 45, 291–308. https://doi.org/10.1016/S0166-3615(01)00086-0.

Tavares, LV (2002). A Review of the contribution of operational research to project management. European Journal of Operational Research, 136, 1-18. https://doi.org/10.1016/S0377-2217(01)00097-2.

Turner, JR (2010). Evolution of project management research as evidenced by papers published in the international journal of project management. International Journal of Project Management, 28, 1-6. https://doi.org/10.1016/j.ijproman.2009.10.009.

Woolley, RN, & Pidd, M. (2017). Problem structuring: A literature review. Journal of the Operational Research Society, 32(3), 197-206. https://doi.org/10.1057/jors.1981.42.

Zwikael, O., Chih, YY, & Meredith, JR (2018). Project beneﬁt management: Setting effective target beneﬁts. International Journal of Project Management, 36(4), 650-658. https://doi.org/ 10.1016 / j.ijproman.2018.01.002.

DOI: https://doi.org/10.5585/exactaep.2021.19951

Direitos autorais 2021 Exacta