油田开发措施规划方法研究

Research on Measure Programming in Oilfield Development

进行措施工程的优化将有助于提高油田开发的经济效益.本文在对措施规划影响因素分析和措施经济效益评价的基础上,综合考虑措施效果、潜力、含水、费用等因素建立了利润最大化非线性措施规划模型.与已有模型相比,本文研究建立的模型所考虑的因素更加全面,考虑了资金的时间价值,同时引入了满足措施增油量与实施井次数、费用之间非线性关系的约束条件.利用基于实数编码的自适应遗传算法进行了有效的求解.应用实例表明,基于本文模型编制软件具有运算快捷、可操作性强的特点,运算结果可有效地指导油田措施的规划,使编制的油田调整方案能获得好的经济效益.

The project optimization of measures will be helpful economic benefits. In this paper, the measure programming to raise the oilfield development influencing factors were analyzed and the measure economic benefits were appraised. With consideration on the factors such as measure effect, potential, water cut and expense, a profit biggest nonlinear measure programming model was presented. Compared with the existing models, this model considers the influential factors more comprehensively. The time value of capital has been considered, at the same time the restraint condition has been led into to satisfy the nonlinear relation among measure oil increment, implement well frequency and expense. This model was solved by adaptive realcoding genetic algorithm. Application example shows that software based on this model has advantages of rapid computational speed and strong operability. The result can efficiently guide the programming of oilfield measure, and make the oilfield development adjustment get more economic benefits.