Field development planning is a very complex process due to uncertainties, related to the restricted amount of information available for the high number of variables with dynamic behavior. An appropriate evaluation of these uncertainties in the process often requires reservoir simulation associated to optimization algorithms for the optimization of a non-linear objective-function previously stated, regarding the objectives for the project. Considering the main particular aspects of the objective-function, manual procedures usually are adequated for the optimization of a recovery strategy although they require excessive time from the professionals involved and may not consider all the necessary scenarios in order to avoid long times for projects planning. Some tests have been published with the objective of developing an automatic process but, until this moment, they demand a very large amount of simulations and are unfeasible for actual reservoirs. The approach for field development plan selection proposed in this work takes advantages of both approaches and is composed by a sequence of manual and automated procedures. This enables to integrate the parameters definition for the development plan to a risk analysis (technical, operational, geological, economic, etc.). The procedure for field development plan selection can still be integrated with an adequate decision analysis using, for example, multi-attributes utility theory. The main idea is to propose a procedure that can be applied to a large set of reservoirs, providing the fundamentals to choose the most adequate choice for the initial field development, regarding the risks related and objectives classification for the project. The procedure was applied to an example based on a real field and the results, obtained with a low computational cost, were adequate for decision taking respecting the objectives stated to the project.7 50525059Costa, A.P.A., Schiozer, D.J., Treatment of geological attributes in risk analysis applied to the appraisal phase of petroleum fields (2003) Canadian International Petroleum Conference, , Calgary, Alberta, Canada, JuneGüyagüler, B., Horne, R.N., Rogers, L., Rosenzweig, J.J., Optimization of well placement in a gulf of Mexico waterflooding project (2000) 2000 Annual Technical Conference and Exhibition, , SPE 63221, Dallas, TX, OctoberMagalhães, T.C.B., (2001) Operational Restrictions Influence on Recovery Strategies Definition, 161p. , Campinas, Mechanical Engineering Faculty, UNICAMP, Dissertation (MSc)Nakajima, L., Schiozer, D.J., Automated methodology for field performance optimization developed with horizontal wells (2003) SPE Latin America and Caribbean Petroleum Engineering Conference, , SPE 81031, Port-of-Spain, Trinidad, West Indies, AprilNepomuceno, F., Suslick, S.B., Financial resources location in risky projects on oil explotation (1999) Natural Resources Research, 8 (3), pp. 193-203. , N. YSantos, J.A.M., Schiozer, D.J., Quantifying production strategy impact in risk analysis of an E&P project using reservoir simulation (2003) 17th Reservoir Simulation Symposium, , SPE 79679, TX, FebruarySchiozer, D.J., Ligero, E.L., Suslick, S.B., Costa, A.P.A., Santos, J.A.M., Use of representative models in the integration of risk analysis and production strategy definition (2004) Journal of Petroleum Science and Engineering, , OctoberSteagall, D.E., Schiozer, D.J., Uncertainty analysis in reservoir production forecasts during appraisal and pilot production phase (2001) 16th Reservoir Simulation Symposium, , SPE 66399, Dallas, TX, FebruarySuslick, S., Furtado, R., Xavier, A.M., (2004) Value of Information Analysis in Petroleum Fields Evaluation and Development, 159p. , Campinas, Mechanical Engineering Faculty, Dissertation (MSc)