摘要
为判定不同测井系列评价划分储层孔隙结构的能力强弱,进而利用测井资料划分储层孔隙结构类型,筛选储层"甜点"的目的,应用岩芯压汞、物性资料,将鄂尔多斯盆地黄陵油田长6浊积岩储层孔隙结构划分为4种类型.基于此,建立4种孔隙结构样品的岩性、孔隙度与电阻率测井系列响应交汇图,分析不同测井系列识别不同孔隙结构的能力强弱.结果表明,岩性测井系列中,针对Ⅰ、Ⅱ、Ⅲ、Ⅳ类孔隙结构储层,其对应自然伽马分布范围及变化幅度差异明显,反映其识别不同类型孔隙结构最为敏感;钍含量、钾含量及光电吸收截面指数对不同孔隙结构分辨力较强,能够识别四种孔隙结构类型;但铀含量测井对不同孔隙结构分辨力整体较差,自然电位测井识别Ⅱ、Ⅲ类孔隙结构能力较弱.孔隙度测井系列中,声波时差、密度、中子测井识别不同孔隙结构能力相当,鉴于经济实用角度评价,可加强声波时差资料的有效挖掘和应用.电阻率测井系列中,鉴于研究区长6储层致密、孔隙结构复杂及储层油水混储等因素影响,双感应和阵列感应测井难以解释不同孔隙结构储层流体性质及含油性判定.经黄陵油田145口井应用检验,自然伽马、钍含量、钾含量及声波时差等敏感测井系列不仅反映浊积岩储层岩性、物性及含油性特征,且有效提高优质储层识别精度和实用效果.
In order to determine the ability of different logging series evaluating and classifying reservoir pore structure, and then using logging data to classify reservoir pore structure types and screen reservoir "dessert", The pore structure of Chang 6 turbidite reservoir in Huangling oilfield, Ordos basin, is divided into four types by using core mercury injection and physical property data. On this basis, the cross plots of lithology, porosity and resistivity logging series response of four kinds of pore structure samples are established, and the ability of different logging series to identify different pore structure is analyzed. The results show that in the lithologic logging series, the natural gamma distribution range and variation range of reservoirs with type Ⅰ,Ⅱ,Ⅲ and Ⅳ pore structure are obviously different, reflecting that the natural gamma is most sensitive to identify different types of pore structure. Thorium content, potassium content and photoelectric absorption cross section index have strong resolution to different pore structure,and they can identify four types of pore structure. However, the resolution of uranium content logging for different pore structures is generally poor, and the ability of spontaneous potential logging to identifing type Ⅱ and Ⅲ pore structures is weak. In the series of porosity logging, acoustic time difference, density and neutron logging have the same ability to identify different pore structures. In view of the economic and practical evaluation, the effective mining and application of acoustic time difference data can be strengthened. In resistivity logging series, dual induction logging and array induction logging are difficult to interpret the fluid properties and oil-bearing properties of Chang 6 reservoir with different pore structures due to the factors such as tight reservoir, complex pore structure and mixed reservoir oil and water. Through the application test of 145 wells in Huangling oilfield, it is considered that sensitive logging series such as natural gamma, thorium, potassium and acoustic time difference reflect the lithology, physical properties and oil-bearing characteristics of turbidite reservoir, and effectively improve the accuracy and practical effect of high quality reservoir identification.
作者
张亮
曹成
张鹏
石立华
郭粉转
ZHANG Liang;CAO Cheng;ZHANG Peng;SHI Li-hua;GUO Fen-zhuan(Shaanxi Yanchang Petroleum(Group)Company Limited Research Institute,Xi’an 710075,China)
出处
《地球物理学进展》
CSCD
北大核心
2020年第2期693-700,共8页
Progress in Geophysics
基金
陕西省科技统筹创新项目“延长难采储量有效动用开发技术研究”(2016KTCL01-02)资助.
关键词
孔隙结构分类
测井响应
交汇图
浊积岩储层
黄陵油田
Pore structure types
Logging response
Cross-plot
Turbidite reservoir
Huangling oilfield
