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METHOD FOR EVALUATING PRODUCTIVITY OF RESERVOIR BASED ON MULTI-PURPOSE GENETIC ALGORITHM AND REAL OPTION

机译:多目标遗传算法与实物期权的储层产能评价方法

摘要

According to one embodiment of the present invention, a method for evaluating productivity of a reservoir comprises the steps of: (a) applying a multi-purpose genetic algorithm to initial data on a reservoir and data on a production history, and generating m number of reservoir models (m is an integer equal to or more than 2); (b) calculating predicting results of m number of resource productivity according to time by using each of the reservoir models; (c) for each of k number of scenarios (k is an integer equal to or more than 2) about whether additional oil well drilling within the reservoir is performed or not, calculating a net present valuation (NPV) on the basis of each of the m number of production predicting results; (d) calculating a variability (σ) on the basis of the calculated NPV; and (e) for each of the k number of scenarios, calculating a current value (C) of real options.;COPYRIGHT KIPO 2016
机译:根据本发明的一个实施例,一种用于评估储层的生产率的方法包括以下步骤:(a)将多用途遗传算法应用于储层上的初始数据和生产历史上的数据,并生成m个储层模型(m是等于或大于2的整数); (b)通过使用每个储层模型,根据时间计算m个资源生产率的预测结果; (c)对于是否在储层内进行额外的油井钻井的k个方案中的每一个(k为等于或大于2的整数),根据每个方案计算净现值(NPV) m个生产预测结果; (d)基于计算出的NPV来计算变异性(σ); (e)对于k个场景中的每个场景,计算实物期权的当前值(C)。; COPYRIGHT KIPO 2016

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