砂岩数字岩心的地层参数模拟与粗化方法研究

发布时间：2018-06-04 17:22

本文选题：数字岩心 + 精细分层　；参考：《科学技术与工程》2017年15期

【摘要】：基于micro-CT成像的数字岩心技术的发展,拓展了岩石物性参数的测量和分析方法。基于三维数字岩心的物性参数模拟,可较为准确地反应岩石的物性,针对砂岩三维数字岩心图像的地层参数模拟与粗化,对研究岩心的流体分布等具有十分重要的意义。首先,基于三维数字岩心图像,采用闵可夫斯基泛函和K-means聚类法对岩心进行精细分层;其次,采用驱替模拟法,模拟岩心在不同驱替状态下湿相和非湿相的分布,针对不同的湿相分布状态,对各个小层在不同方向上的地层参数进行模拟;最后,采用数学平均法、曲线回归法和去除薄层后的曲线回归法对岩心的地层参数进行粗化并对比分析各种粗化方式结果的差异。
[Abstract]:With the development of digital core technology based on micro-CT imaging, the measurement and analysis methods of rock physical parameters are extended. Based on the simulation of physical parameters of 3D digital cores, the physical properties of rocks can be accurately reflected. It is very important to simulate and coarsening the formation parameters of 3D digital core images of sandstone, which is of great significance to the study of fluid distribution in cores. Firstly, based on 3D digital core images, Minkowski Functionals and K-means clustering methods are used for fine stratification of cores; secondly, displacement simulation is used to simulate the distribution of wet and non-wet phases of cores in different displacement states. According to different wet phase distribution states, the formation parameters in different directions of each layer are simulated. Finally, the mathematical average method is used. The method of curve regression and the method of curve regression after removing thin layer are used to coarsening the formation parameters of the core and the differences of the results of various coarsening methods are compared and analyzed.
【作者单位】：北京大学地球与空间科学学院石油与天然气研究中心;
【基金】：国家科技重大专项(2011ZX05020-008、2011ZX05010-001)资助
【分类号】：P628

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