测井相分析在准噶尔盆地车排子地区的应用

传统的沉积微相研究主要是通过岩心观察或岩屑录井资料对目的层段的岩性及沉积环境进行研究,然而岩心及岩屑资料却是十分有限的。目前利用测井资料进行沉积微相分析已成为沉积学的发展趋势,本文通过研究车排子地区各沉积微相以及相应的测井响应特征,提取不同微相的测井特征参数。利用计算机工具,采用现代数学方法建立的电性-沉积微相判别公式,实现了沉积微相的人机交互识别。结果表明,所得结果与人工识别结果的吻合率达到了87%,由此可见利用测井资料自动识别沉积微相是可行的,不仅能大大弥补人工识别的不足,还可提高储层解释的速度和精度。

Application of Log Facies Analysis in Chepaizi Area of Junggar Basin

The traditional sedimentary microfacies research on the lithology or the sedimentary environment of the objective layer is mainly through core observation or cutting logging data, but, the core and the cuttings data is very limited. At present,Analysis on sedimentary microfacies by using the logging data has become the development trend of sedimentology, In this paper, By studying the sedimentary microfacies and the corresponding logging response characteristics of Chepaizi area,extract the logging characteristic parameters of the different microfacies. We realized the human-computer interaction identification of sedimentary microfacies by using computer tools and the electrical-sedimentary microfacies discriminant formula established by modern mathematics methods. The results show that the agreement rate of the results obtained and the human identified results reached 87%. Thus automatic identification of sedimentary microfacies by using the logging data is viable, it can not only make up the deficiency of the human identification, but also improve the speed and precision of the reservoir interpretation.