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Research on the calculation method of shale and tuff content: taking tuffaceous reservoirs of X depression in the Hailar-Tamtsag Basin as an example

机译:页岩和凝灰岩含量的计算方法研究-以海拉尔—塔姆萨格盆地X凹陷的凝灰质储层为例

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Shale content is known in reservoir evaluation as an important parameter in well logging. However, the log response characteristics are simultaneously affected by shale and tuff existing in tuffaceous sandstone reservoirs. Due to the fact that tuff content exerts an influence on the calculation of shale content, the former is equally important as the latter. Owing to the differences in the source and composition between shale and tuff, the calculation of tuff content using the same methods for shale content cannot meet the accuracy requirements of logging evaluation. The present study takes the tuffaceous reservoirs in the X depression of the Hailar-Tamtsag Basin as an example. The differences in the log response characteristics between shale and tuff are theoretically analyzed and verified using core analysis data. The tuff is then divided into fine-and coarse-grained fractions, according to the differences in the distribution of the radioactive elements, uranium, thorium and potassium. Next, a volume model suitable for tuffaceous sandstone reservoirs is established to include a sandstone matrix, shale, fine-grained tuff, coarse-grained tuff and pore. A comparison of three optimization algorithms shows that the particle swarm optimization (PSO) yields better calculation results with small mean errors. The resistivity differences among shale, fine-grained tuff and coarsegrained tuff are considered in the calculation of saturation. The water saturation of tuffaceous reservoirs is computed using the improved Poupon's equation, which is suitable for tuffaceous sandstone reservoirs with low water salinity. The method is used in well Y, and is shown to have a good application effect.
机译:在储层评估中,页岩含量是测井中的重要参数。但是,测井响应特征同时受到凝灰质砂岩储层中存在的页岩和凝灰岩的影响。由于凝灰岩含量会影响页岩含量的计算,因此前者与后者同样重要。由于页岩和凝灰岩在来源和组成上的差异,使用相同的页岩含量测定方法计算凝灰岩含量不能满足测井评价的准确性要求。本研究以海拉尔-塔姆萨格盆地X凹陷的凝灰岩储层为例。利用岩心分析数据从理论上分析和验证了页岩和凝灰岩之间测井响应特征的差异。然后,根据放射性元素铀,or和钾的分布差异,将凝灰岩分为细颗粒和粗颗粒。接下来,建立适用于凝灰质砂岩储层的体积模型,包括砂岩基质,页岩,细粒凝灰岩,粗粒凝灰岩和孔隙。三种优化算法的比较表明,粒子群优化(PSO)产生了较好的计算结果,且平均误差较小。计算饱和度时应考虑页岩,细粒凝灰岩和粗粒凝灰岩之间的电阻率差异。利用改进的Poupon方程计算凝灰岩油藏的含水饱和度,适用于低盐度的凝灰岩砂岩油藏。该方法用于Y井,具有良好的应用效果。

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