基于流动单元的致密砂岩气储层渗透率测井评价——以川中广安地区须家河组为例

发布时间：2018-02-23 23:07

本文关键词： 流动单元致密砂岩气渗透率核磁共振测井 Swanson参数须家河组四川盆地　出处：《岩性油气藏》2017年06期 　论文类型：期刊论文

【摘要】：四川盆地广安地区须家河组致密砂岩气储层非均质性极强,使得孔隙度与渗透率相关性差,难以通过单一的孔隙度与渗透率回归模型准确计算渗透率。因此,利用859块标准柱塞样物性分析数据,根据流动单元指数(FZI)由小到大,划分出了5类流动单元,并建立了相应的孔隙度与渗透率统计回归模型,每种类型流动单元的孔隙度与渗透率相关性良好。为了使用这组分类统计模型,需要连续的FZI来划分整个目的层段的流动单元类型。为此,选择了20块典型样品开展高压压汞与核磁共振联测实验。基于联测实验数据,得到了利用核磁共振测井计算Swanson参数、利用Swanson参数计算储层品质因子(RQI)、利用RQI计算FZI的转换模型,实现了FZI的连续定量评价,最终实现了研究区致密砂岩气储层流动单元类型的连续划分及其渗透率的测井评价。现场应用结果表明:利用核磁共振测井计算FZI与岩心分析FZI较为接近,该方法可有效解决FZI连续定量评价的问题;相比于单一的孔隙度和渗透率回归模型与核磁Coates模型,流动单元分类的渗透率计算结果与岩心分析渗透率吻合度更高,该方法有效地提高了渗透率测井评价的准确度。上述方法在类似的致密砂岩气储层渗透率测井评价中具有推广价值。
[Abstract]:The heterogeneity of tight sandstone gas reservoir in Xujiahe formation in Guang'an area of Sichuan Basin is very strong, which makes the correlation between porosity and permeability poor, and it is difficult to accurately calculate permeability through a single regression model of porosity and permeability. Based on the physical property analysis data of 859 standard plunger samples, five types of flow units are divided according to the flow unit index (FZI) from small to large, and the corresponding statistical regression model of porosity and permeability is established. The porosity and permeability of each type of flow unit are well correlated. In order to use this set of classified statistical models, continuous FZI is required to divide the flow unit types of the entire target layer. Twenty typical samples were selected to carry out high pressure mercury injection and nuclear magnetic resonance (NMR) experiments. Based on the combined data, the Swanson parameters were calculated by NMR logging, the reservoir quality factor (RQI) was calculated by Swanson parameters, and the conversion model of FZI was calculated by RQI. The continuous quantitative evaluation of FZI is realized. Finally, the continuous division of flow unit type and the logging evaluation of permeability of tight sandstone gas reservoir in the study area are realized. The field application results show that the FZI calculated by nuclear magnetic resonance logging is close to the core analysis FZI. Compared with the single regression model of porosity and permeability and the nuclear magnetic field (Coates) model, the calculated results of permeability calculated by flow unit classification are more consistent with the core analysis permeability than that of single regression model of porosity and permeability and nuclear magnetic field (Coates) model, which can effectively solve the problem of continuous quantitative evaluation of FZI. This method can effectively improve the accuracy of permeability logging evaluation, and the above method is worth popularizing in the similar tight sandstone gas reservoir permeability logging evaluation.
【作者单位】：西南石油大学地球科学与技术学院;中国石油西南油气田公司勘探开发研究院;中国石油青海油田测试公司;
【基金】：大型油气田及煤层气开发国家重大科技专项“四川盆地大型碳酸盐岩气田开发示范工程”(编号:2016ZX05052)资助
【分类号】：P618.13;P631.81

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