基于流动单元用多参数方法预测火山岩渗透率  

Volcanic Reservoirs Permeability Prediction Using Multi-parameter Approach Based on Hydraulic Flow Units

作　　者：吴一雄[1] 张超谟[1,2] 李玮[1] 

机构地区：[1]长江大学地球物理与石油资源学院,湖北荆州434023 [2]油气资源与勘探技术教育部重点实验室,长江大学,湖北荆州434023

出　　处：《测井技术》2013年第2期162-165,共4页Well Logging Technology

基　　金：国家高技术研究发展计划(863计划)"特殊储层测井识别与地层参数定量评估技术(编号2006AA06Z220)";国家大学生创新性实验项目(A101048927)

摘　　要：火山岩储层岩性变化快,矿物组分种类多,裂缝、溶孔发育,孔隙结构复杂,储层"四性"非匀质性强等特点为火山岩储层物性的定量评价带来了极大的困难。采用聚类分析方法,利用同一地区多口取心井的岩心数据进行地层流动单元的划分,在每一种流动单元下建立相应的渗透率模型。在未取心井中建立流动分层指标与多项测井参数的回归关系,为流动单元的划分建立判别函数。采用密度-核磁共振孔隙度方法确定火山岩储层有效孔隙度。用松辽盆地南部长岭、英台断陷深层火山岩储层数据对该方法进行验证,获得了较好的应用效果。Fast changes of the volcanic reservoirs lithology, varieties of mineral components, development of fractures and dissolution pores, complexity of pore structures and strong non- homogeneity lead to the great difficulties in the volcanic reservoirs quantitative evaluation. We use core data of several wells in the same area to divide hydraulic flow units （HFU） of the formation, and establish the permeability model for each HFU by cluster analysis method. In the uncored wells, we establish regression relationship of hydraulic flow index （IFz） with several logging parameters to find the discriminant function for the division of HFU. We determine the effective porosity of the volcanic reservoirs by density-NMR porosity method. And then we verify this method with volcanic reservoir data in Changling, Yingtai fault depression of southern Songliao basin, the result of which is much better.

关 键 词：测井解释 流动单元 火山岩 渗透率 有效孔隙度 多元回归 

分 类 号：P631.84[天文地球—地质矿产勘探]