机构地区: 长江大学地球物理与石油资源学院教育部油气资源与勘探技术重点实验室
出 处: 《国外测井技术》 2010年第2期18-21,3,共4页
摘 要: 针对高含水开发期,在套管井中水淹层识别和水淹级别划分难的问题,以PND(脉冲中子衰减能谱测井仪)测井参数和裸眼井参数为研究对象,提出了模糊聚类判别综合分析法。首先利用模糊聚类分析和生产数据,提取出建模样本点,再利用判别分析建立水淹层和水淹级别判别模型。该方法解决了样本点不足和样本点分类模糊的情况下建立模型的问题。用该方法所建模型处理实际资料,效果良好,达到了在套管井中识别水淹层和划分水淹级别的目的。 Taking PND(pulsed neutron decay spectrum) logging and open hole parameters as studied subject,fuzzy clustering and discrimination analysis is proposed according to the difficulty in water-flooded zone identification and water out level division of casing wells in high water -cut development period.First modeling sample points are extracted with fuzzy clustering analysis and production data,then the model for water-flooded zone and water out level discrimination is established with discriminatory analysis.The method has solved the modelling problem when there are insufficient sample points and sample points classification is fuzzy.The method has gained good effect in practice and reached the goal of identifying water-flooded zone and dividing water out level in casing wells.