A compact formulation has been developed to efficiently optimize early-stage field development planning of multi-reservoir fields. The proposed formulation is a mixed-integer linear programming model which employs piecewise-linear functions to approximate the model non-linearities. The project economic value is maximized by optimizing the production allocation and the drilling schedule. The field production profiles are estimated with production potential curves calculated from simulated data of an integrated reservoir and surface facilities model. The novelties of this work are: a scalable model for the well combination selection, a logarithmic piecewise-linear model to approximate the well production potential curves, and the modeling and solution of realistic field development optimization problems. Through simulation analysis of a real field case study, the logarithmic and standard SOS2 formulations are compared in terms of computational performance and accuracy. The results show that the logarithmic formulation has significantly reduced the computational time and achieved improved accuracy over SOS2.

已经开发出紧凑的配方，以有效地优化多储层油田的早期油田开发规划。所提出的公式是一个混合整数线性规划模型，该模型采用分段线性函数来近似模型非线性。通过优化生产分配和钻探进度，可以最大程度地提高项目经济价值。利用从综合油藏和地面设施模型的模拟数据计算得出的生产潜力曲线，估算出油田的生产剖面。这项工作的新颖性是：用于井组合选择的可扩展模型，用于逼近井生产潜力曲线的对数分段线性模型，以及实际油田开发优化问题的建模和解决方案。通过对实际案例研究的仿真分析，比较了对数和标准SOS2公式的计算性能和准确性。结果表明，与SOS2相比，对数公式显着减少了计算时间并提高了精度。