基于组合赋权的难采储量模糊分类

Fuzzy Classification of Difficult Recoverable Reserves Based on Combination weighting approach

选取两个效果指标,结合模糊C均值算法和组合赋权法实现难采储量的分类.首先基于效果指标运用模糊C均值算法自动搜索储量的最佳类别,再利用主客观赋权偏差最小的思想,构建组合赋权模型,确定属性指标的权重,并计算储量效益指标值,结合模糊C均值结果判别难采储量类别.最后以大庆某油田为实例,对其难采储量进行了分类,有效指导难采储量滚动开发决策.

This paper selected two effectiveness indicators, combined with Fuzzy C-Means clustering algorithm （FCM） and combination weighting approach to classify difficult recov- erable reserves. First use FCM to automatically search for the optimal category number of reserves based on effectiveness indicators. And then establish a combination weighting model based on the minimal deviation between subjective weighting method and objective weighting method, which was used for computing the attributes＇ weighting. Multiply the weighting by the corresponding attributes＇ value to judge the categories that blocks belonged to, according to the result of FCM. Finally take the case of an oil field in the 10th Oil Pro- duction Plant of PetroChina Daqing Oilfield LLC, and evaluate the recoverable reserves, which conducts the rolling development of recoverable reserves.