摘要
措施规划对延长油田增产稳产年限、降低开采成本、提高采油速度和采收率、实现措施优化配置十分必要.以油田措施增产最大化为目标,兼顾成本、工作量等目标,建立了油田措施规划的模糊期望值模型,并给出了模型的混合智能算法.实例表明,该模型理论基础严格,求解方法科学有效,并具有一定的智能性,为油田措施规划提供了新的决策依据.
Measures planning is necessary to output-increasing and output-stabilizing, output stability time prolonging, recovery cost reducing, production rate enhancing and recovery factor enhancing of Changqing Oilfield. A fuzzy expected value model of oilfield measures planning is put forward, in which the output increment maximizing of oilfield measures is as objective, and the cost and the work amount of the measures are also taken into account. At the same time, the hybrid intelligent algorithm of the model is presented. A case shows that the theoretical basis of the model is rigorous, the solving method is scientific, effective and intellectual. The study provides a new decision-making basis for oilfield measures planning.
出处
《西安石油大学学报（自然科学版）》
CAS
2006年第3期106-108,共3页
Journal of Xi’an Shiyou University（Natural Science Edition）
基金
山东省自然科学基金(编号:Y2003H01)
关键词
措施规划
模糊期望值模型
混合智能算法
measures planning
fuzzy expected value model
hybrid intelligent algorithm
