A mathematical programming formulation has been developed to optimize the drilling program, the production allocation, and the decommissioning time in early-stage field development planning. Various abandonment constraints are considered in the optimization model when searching for the best decommissioning time for the long-term field development strategy. The model is tested on a real field development planning consisting of two reservoirs produced with subsea wells to an offshore facility. The novelty of this work is the utilization of mathematical programming to formulate and solve early-stage field development planning considering the variable decommissioning time. The results show that considering a variable decommissioning time in early-stage field development planning yields improved economic margins. Further, it provides operators a decision-support tool with enhanced capabilities of forecasting the best decommissioning time, improving the forecasts for processing and production planning, expected revenue and lifetime of facilities, and anticipating and preparing for field abandonment in advance. The optimization model is capable of determining the drilling and production schedules, and the optimal decommissioning time that yielded the maximum net present value for the project.

开发了数学规划公式，以优化早期油田开发规划中的钻井计划、生产分配和退役时间。在寻找长期油田开发战略的最佳退役时间时，优化模型中考虑了各种废弃约束。该模型在一个实际的油田开发计划中进行了测试，该计划包括两个用海底井生产的储层到一个海上设施。这项工作的新颖之处在于利用数学规划来制定和解决考虑可变退役时间的早期油田开发规划。结果表明，在早期油田开发规划中考虑可变退役时间可以提高经济利润。更远，它为运营商提供了一种决策支持工具，增强了预测最佳退役时间、改进对加工和生产计划、预期收入和设施寿命的预测以及提前预测和准备废弃场的能力。优化模型能够确定钻井和生产计划，以及为项目产生最大净现值的最佳退役时间。