DISCRIMINATION OF SEDIMENTARY MICROFACIES WITH COMPUTER
Xu Kaizhi, Sedimentology, Changchun University of Technology, Jilin 130062Tang Yong, Wang Haidong, Zhao Zhengya.
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.
【CateGory Index】： TE15