用计算机实现判别沉积微相方法

DISCRIMINATION OF SEDIMENTARY MICROFACIES WITH COMPUTER

在计算机上采用“专家经验参数逻辑判别法”研究地下沉积微相，主要利用综合录井和四种测井曲线数据，测井解释与相邻参数井匹配补充地质信息，用曲线形态参数辅助，建立地方性相模型，再综合判别各单元的沉积微相。文章介绍了该方法的原理、数据制备、参数提取与计算和建模、判别等。通过对某盆地侏罗系的实际判别结果表明：综合录井资料判别结果是正确的。

This paper presents expert empirical parameter logic discrimination method to study sedimentary microfacies on the computer. Local facies model is established by using synthetic logging and four kinds of logging curves, along with geologic information provided by match of log interpretation with neighbouring parameter well and curve shape parameters, sedimentary microfacies of each geologic unit were then recognized. It describes the principle, data preparation, parameter selection and calculation, model establishment and microfacies discrimination. Case study shows that recognition with synthetic logging data is accurate, while recognition with combined log interpretation and curve is more reasonable.