结合支持向量机和聚类理论对生产小层进行评价，考虑小层静、动态参数差异，选取平均渗透率、渗透率变异系数、流动能力、剩余可采储量、弱水淹系数、平均日产油、含水上升率、累积产液强度和产油效率指数作为小层评价指标，建立基于支持向量机和聚类理论的小层评价模型。以胜利油田胜坨21区块数据为例进行分析，根据计算结果，制定开发调整对策，并在该区块进行了现场应用，应用效果表明，相比于开发调整之前，区块月产油提高了7.6个百分点，综合含水率下降了8.9个百分点。从提高产量和控水效果的角度看，该方法用于改善高含水期水驱砂岩油藏开发效果具有经济适用性。

Nine targets which stand both for the static characteristic of produced formations and the dynamic parameter of wells including the average permeability, variation coefficient of permeability, moving capability, remaining recoverable reserves, coefficient of flooding, daily oil production, increasing rate of water cut, cumulative liquid production per unit meter and efficiency index of oil production are selected as the evaluation indexes, a novel model to evaluate the porous formations in longterm waterflooding sand reservoir was established by using the support vector machine and clustering analysis. Data of 57 wells from Shentuo 21 block Shengli oilfield was analyzed by using the model. Four kinds of formation groups were gained. According to the analysis result, different adjustment solutions were put forward to develop the relevant formations. The Monthly oil production increased 7.6 % and the water cut decreased 8.9 % after the adjusted solutions. Good results indicate that the learning from this method gained will be valuable adding to other longterm waterflooding sand reservoirs in Shengli oilfield and other similar reservoirs worldwide.