基于致密气储层水动力特征的渗透率相控模拟

Facies-controlled modeling for permeability of tight gas reservoir based on hydrodynamic characteristics

随着产能建设及储层精细表征任务难度的加大,一些常规的分析手段已不能完全满足开发阶段的需要.大牛地气田小壕兔-大16井区H_(3)段致密储层孔、渗相关性差,传统方法针对该类储层的渗透率预测效果不甚理想.为此,结合地学数据挖掘算法和建模技术从一个全新的角度对靶区储层渗透率进行预测表征.表征过程依托测井及岩心分析资料,首先进行取心样点的水力单元识别,通过支持向量机确定未取心段的水力单元参数集,结合渗透率理论公式输出单井尺度上的高分辨率渗透率信息,并在相控环境的约束下构建靶区渗透率空间模型.结果表明,基于致密气储层水动力特征的渗透率相控模拟体系能有效提高储层预测精度,为气藏描述及表征提供更为准确的地质信息.

With the productivity construction and characterization task of reservoirs becoming harder,existing analysis technology may not fully meet the needs of development stage.Case study of the H_(3) formation in Xiaohaotu-D16 area,Daniudi gasfiled,the permeability predicted effect of this kind of reservoir with traditional methods is poor,so parameters were predicted and characterized based on geosciences data mining algorithm and modeling technology from a new perspective.The characterization process relies on well logging and core analysis data,firstly,the hydraulic unit identification of the core sample points were carried out and the hydraulic unit parameter set of the uncored section was determined through the support vector machine,the high-resolution permeability information at the single well scale was obtained based on the theoretical formula of permeability,and then,the permeability spatial model of target area was built under the constraints of a facies-controlled environment.The results showed that the facies-controlled modeling system for permeability based on the hydrodynamic characteristics of tight gas reservoirs could effectively improve the accuracy of reservoir prediction and provide more accurate geological information for gas reservoir description and characterization.