Abstract: Traditional theoretical model of optimized investment portfolio for exploration targets includes the linear programming method, the integer programming method and the efficient combination method based on the Markowitz theory, but they do not integrate the actual work of domestic exploration and development, thus being unable to optimize the exploration and development process simulation. This problem can be better solved by means of the process simulation method, which combines the zone economic evaluation mode based on simulation of the whole exploration and development process with the efficient portfolio model based on genetic algorithms. It can be also applied to the development model and its engineering to evaluate offshore oil and gas exploration targets that are much more complicated than the onshore targets. The evaluation mindset of this method is based on the zone economic evaluation and sets a number of constraints so as to select the best target combination. With application of the genetic algorithm, the main steps include the zone economic evaluation and optimization of investment portfolio. Finally, the application cases are used to confirm the practicability o f this method.

摘要： 在传统的勘探目标优化投资组合理论模型中，线性规划法、整数规划法以及基于 Markowitz 理论的高效组合法等模型没有结合国内勘探开发工作实际，无法实现对勘探开发过程模拟基 础上的优化。过程模拟法将基于勘探开发全过程模拟的区带经济评价模型与基于遗传算法的高效组合模 型相结合，较好地解决了这一问题，且适用于开发模式及其工程方式远比陆上更为复杂的海上油气勘探 目标评价工作。这一方法的评价思路是在区带经济评价的基础上，通过设定多个约束条件从而优选出最 佳的目标组合；应用的算法是遗传算法，主要步骤包括区带经济评价和投资组合优选；最后通过实际应 用案例说明方法的可实现性。

关键词: 勘探目标, 投资组合, 过程模拟法, 经济评价, 优化投资