Project portfolio prioritization strategy to extend the service life of offshore platforms – a Prométhée V approach

Main Article Content

Rodrigo Toneto de Melo
Luiz Flavio Autran Monteiro Gomes
Fernando Filardi

Abstract

This study puts forward the implementation of Multi-Criteria Decision Aid, through the PROMÉTHÉE V method, to support a decision on prioritizing a modification project portfolio on offshore oil and gas platforms. The chosen method supports, in a structured manner, the prioritization of a project portfolio which is necessary to leverage the oil production in offshore facilities, especially when they have already surpassed the plateau phase and presents production decline. Although the most relevant issues for investors are related to return on investments and the risks involved, the study suggests that other criteria are considered in specific settings. The research used data from 12 main projects of an oil and gas company and the criteria evaluations were made based on documents retrieved from the organization's database. This implementation represents a very important improvement for a well-known problem, in which the result is found based on criteria and their respective weights selected through a consensus. The results reinforce that any organization, with a constraint similar to the one presented in this study, may obtain relevant gains with the use of methods that clearly reflect the decision process and its criteria, assisting the decision maker's job significantly.

Downloads

Download data is not yet available.

Article Details

Section
Articles
Author Biographies

Rodrigo Toneto de Melo, Ibmec Business School

Project Leader Professional at Equinor, Rio de Janeiro, Brazil

Luiz Flavio Autran Monteiro Gomes, Ibmec Business School

Full Professor (since 2000) of Business Administration in the Ibmec School of Business and Economics, Rio de Janeiro, Brazil.

Fernando Filardi, Ibmec Business School

Full Professor of Business Administration in the IBMEC School of Business and Economics, and the Federal University of the State of Rio de Janeiro (UNIRIO), Rio de Janeiro, Brazil.

References

ARCHER, N. P.; GHASEMZADEH, F. (1999) An Integrated Framework for Project Portfolio Selection. International Journal of Project Management, v. 17, n. 4, p. 207-216.

BARNEY, J. B.; HESTERLY, W. S. (2010) Strategic Management and Competitive Advantage: Concepts. Upper Saddle River: Pearson Prentice Hall.

BELTON, V.; STEWART, T. (2002) Multi-Criteria Decision Analysis: An Integrated Approach. Doirdrecht: Kluwer Academic Publishers.

BRANS, J. P.; MARESCHAL, B. (1988) Geometrical representations for MCDA. European Journal of Operational Research, V. 34, n. 1, p. 69-77.

BRANS, J. P.; MARESCHAL, B. (1992) PROMÉTHÉE V: MCDM problems with segmentation constraints. INFOR Information Systems & Operational Research, v. 30, n. 2, p. 85-96.

BRANS, J. P.; MARESCHAL, B.; VINCKE, P. (1984) PROMÉTHÉE: a new family of outranking methods in Multi-Criteria analysis. In: BRANS, J. P. (Ed.). Operational Research. Amsterdam: North-Holland,

BRANS, J. P.; VINCKE, P. H. (1985) A preference ranking organization method the PROMÉTHÉE method for MCDM. Management Science, v. 31, n. 6, p. 647-656,

BRANS, J. P.; VINCKE, P. H.; MARESCHAL, B. (1986) How to select and how to rank projects: The PROMÉTHÉE method. European Journal of Operational Research, v. 24, n. 2, p. 228-238.

CÂMARA, R. J. B. (2004) Campos maduros e campos marginais: definições para efeitos regulatórios. Dissertação de Mestrado em Regulação da Indústria de Energia. Salvador: Universidade de Salvador.

CÁÑEZ, L.; GARFIAS, M. (2015) Portfolio Management at The Mexican Petroleum Institute. Research-Technology Management, v. 49, n. 4, p. 46-55

CLEMEN, R. T.; REILLY, T. (2001) Making hard decisions with decision tools. California: Duxbury.

COOPER, R.; EDGETT, S. J.; KLEINSCHMIDT, E. J. (1997) Portfolio Management in New Product Development: Lessons from the Leaders I. Research-Technology Management, v. 40, n. 5, p. 16-28.

COOPER, R.; EDGETT, S. J.; KLEINSCHMIDT, E. J. (1997) Portfolio Management in New Product Development: Lessons from the Leaders II. Research-Technology Management, v. 40, n. 6, p. 43-52.

COOPER, D. R.; SCHINDLER, P. S. (2003) Métodos de pesquisa em administração. 7a ed. Porto Alegre: Bookman.

COOPER, R. G.; EDGETT, S. J.; KLEINSHMIDT, E. J. (1999) New product portfolio management: practices and performance. Journal of Product Innovation Management, v. 16, n. 4, p. 333-351.

FERREIRA, R. G. (2013) Priorização de portfólio de projetos de geração de energia renovável utilizando o método PROMÉTHÉE V. Dissertação de Mestrado Profissional em Administração. Rio de Janeiro: Faculdades IBMEC.

GHASEMZADEH, F.; ARCHER, N. P. (2000) Project portfolio selection through decision support. Decision Support Systems, v. 29, n. 1, p. 73-88.

GOMES, L. F. A. M. (2007) Teoria da Decisão. São Paulo: Thomson Learning.

GOMES, L. F. A. M.; ARAYA, M. C. G.; CARIGNANO, C. (2004) Tomada de decisões em cenários complexos: introdução aos métodos discretos do apoio multicritério à decisão. São Paulo: Pioneira Thomson Learning.

GOMES, L. F. A. M.; GOMES, C. F. S. (2014) Tomada de decisão gerencial: enfoque multicritério. 5. ed. São Paulo: Atlas.

JAFARIZADEH B. (2010) Financial factor models for correlated inputs in the simulation of project cash flows. Journal of Petroleum Science and Engineering, v. 75, n. 1-2, p. 54-57.

KEENEY, R. L. (2004) Making better decision makers. Decision Analysis, v. 1, n. 4, p. 193-204.

KEENEY, R. L.; RAIFFA, H. (1976) Decisions with Multiple Objectives preferences and valur tradeoffs. New York: Wiley.

KERZNER, H. (2006) Project Management Best Practices: Achieving Global Excellence. New Jersey: John Wiley & Sons.

LIU, M. M.; WANG, Z.; ZHAO, L.; PAN, Y.; XIAO, F. (2012) Production sharing contract: An analysis based on an oil price stochastic process. Petroleum Science, v. 8, n. 3, p. 408-415.

MARKOWITZ, H. (1959) Portfolio selection: Efficient Diversification of Investment. New York: John Wiley & Sons.

MAVROTAS, G.; DIAKOULAKI, D.; CALOGHIROU, Y. (2006) Project prioritization under policy restrictions: a combination of MCDA with 0-1 programming. European Journal of Operational Research, v. 171, n. 1, p. 296-308.

MBP COPPE/UFRJ (2014) História do Petróleo. Disponível em: http://www.petroleo.coppe.ufrj.br/historia-do-petroleo/. Captured in August 15th, 2017.

PATANAKUL, P. (2015) Key attributes of effectiveness in managing project portfolios. International Journal of Project Management, v. 33, n. 5, p. 1084-1097.

PARK, C.; KANG, J. M.; AHN, T. (2009) A stochastic approach for integrating market and technical uncertainties in economic evaluations of petroleum development. Petroleum Science, v. 6, n. 3, p. 319-326.

ROY, B. (2005) Paradigms and challenges. In: FIGUEIRA, J.; GRECO, S.; EHRGOTT, M. (Ed), Multi-Criteria Decision Analysis: state of the art surveys. p. 3-26. New York: Springer Science.

THOMAS, J. E. (2001) Fundamentos de Engenharia de Petróleo. Petrobras. Rio de Janeiro: Interciência.

VETSCHERA, R.; ALMEIDA, A. T. (2012) A PROMÉTHÉE-based approach to portfolio selection problems. Computer & Operations Research, v. 39, n. 5, p. 1010-1020.

VINCKE, P. (1992) Multicriteria Decision-Aid. New York: Wiley.

XUE, Q.; WANG, Z.; LIU, S.; ZHAO, D. (2014) An improved portfolio optimization model for oil and gas investment selection. Petroleum Science, v. 11, n. 1, p. 181-188, March.

ZELENY, M. (2005) Human systems management: Integrating knowledge, management and systems. Singapore: World Scientific.

ZHANG, J.; SUN, Z. D.; ZHANG, Y. W.; NAFI, T. (2010) Risk-opportunity analyses and production peak forecasting on world conventional oil and gas perspectives. Petroleum Science, v. 7, n. 1, p. 136-146.

ZHANG, B. S.; WANG Q. (2011) Analysis and forecasts of investment scale and structure in upstream sector for oil companies based on system dynamics. Petroleum Science, v. 8, n. 1, p. 120-126.

فروشگاه اینترنتی