深层特低渗透率砂砾岩储层油水层识别方法研究  

On Oil-water Layer Identification Method for Deep Glutenite Reservoir with Ultra-low Permeability

作　　者：陈德坡[1] 陈钢花[2] 吴素英[1] 王有涛[2] 张孝珍[2] 

机构地区：[1]中国石化胜利油田地质科学研究院,山东东营257015 [2]中国石油大学,山东青岛266555

出　　处：《测井技术》2010年第2期146-149,共4页Well Logging Technology

摘　　要：深层特低渗透率砂砾岩储层埋藏深、储层岩性变化大、孔隙结构复杂、非均质性严重、油水层岩石电性关系特征不明显,造成油水层判别困难。以岩心分析资料为基础,综合应用成像测井、核磁共振测井、常规测井、岩心分析等资料,采用测井相分析技术,提取反映油水层特征的综合特征参数。利用数理统计等数学方法,建立深层特低渗透率砂砾岩储层油气水层多参数判别模式及油水层识别方法。应用所开发的软件,对研究区14口井的测井资料进行处理。处理结果表明,该方法有效提高了储层参数解释精度和油水层判别准确度,为深层特低渗透率砂砾岩储层的勘探开发提供了更为详细可靠的地质依据。It is difficult to identify oil-water layers in deep glutenite reservoir with ultra-low permeability featuring abysmal buried depth, great lithology variation, complex porosity structure, strong heterogeneity and vague distinctions of rock-electricity relations at the oil-water interface. Based on the core analysis data and combining with the imaging logging, nuclear magnetic reso- nance logging, conventional logging data, along with the utilization of electro-face method, the comprehensive characteristic parameters of the oil-water layer are abstracted. With the help of a set of mathematical statistic tools, a discrimination model for ultra-low permeable deep glutenite reservoir with multi-parameters and an oil-water layer separation method are presented. The de- veloped software is then put to test by more than ten well logging data from the studied area, the results are promising： the interpretation accuracy of the reservoir parameters and the identification of the oil-water layer are effectively improved, which proves that the method can provide a more reliable and detailed geological background for exploration and development for ultra-low permeability deep glutenite reservoir.

关 键 词：测井解释 砂砾岩储层 特低渗透率 测井相 储层参数 油水层识别 

分 类 号：P631.814[天文地球—地质矿产勘探]