基于模糊物元的注水井酸化井层选择  

Selection of Acidizing Layers in Injection Wells Based on Fuzzy Matter-element

作　　者：黄晶[1] 李年银[1] 刘平礼[1] 赵立强[1] 朱红旺[2] 

机构地区：[1]油气藏地质及开发工程国家重点实验室(西南石油大学),四川成都610500 [2]中石油吐哈油田分公司鄯善采油厂,新疆鄯善838200

出　　处：《石油天然气学报》2013年第8期133-138,0-1,共6页Journal of Oil and Gas Technology

基　　金：国家科技重大专项(2011ZX05030-005-08)

摘　　要：注水井酸化是实现增注、满足油田开发生产的重要手段,酸化井层的成功选择能确保最佳的增注效果。首次在模糊物元分析方法的基础上,通过综合考虑渗透率、有效孔隙度、表皮因数、注水层厚度、连通系数、实注系数、吸水指数减小幅度7种评价指标,建立了专门针对注水井酸化的井层选择模型。其中连通性、吸水指数减小幅度是以往类似模型尚未考虑的。同时利用注水井动态资料定量确定了表皮因数、连通性,并通过对鄯善油田10口注水井的实例计算,验证了该模型的正确性。Water injection well acidizing was one of the important means for meeting the needs of stimulation and oilfield development.Good stimulation effects could be obtained by successful selection of wells and layers.Based on fuzzy matter-element,a model for selection of wells and layers was firstly established for injection well acidizing by considering permeability,effective porosity,skin factor,reservoir thickness,connectivity,actual injection coefficient and injectivity index decrease.In addition,connectivity and injectivity index decrease are firstly considered in the model,compared to other similar models.Skin factor and connectivity can be obtained by dynamic data.The correctness of the model is verified by case calculation.

关 键 词：注水井 模糊物元 酸化 选井选层 模型 

分 类 号：TE357.2[石油与天然气工程—油气田开发工程]