A Fuzzy Model Integrated with Electrofacies Characterization for Permeability Prediction

作者：Jeong C; Park C^*; Kang J M

来源：Energy Sources, Part A: Recovery, Utilization, and Environmental Effects , 2013, 35(1): 66-76.

DOI：10.1080/15567030903515021

• electrofacies
• factor analysis
• fuzzy
• permeability
• well log

A new integrated model of statistical pre-treatment and fuzzy logic is developed to predict unknown permeabilities from well logs. The log treatment based on factor analysis and clustering characterizes statistically electrofacies that are the input variables of fuzzy logic. The applicability is verified in the heterogeneous carbonate reservoir, which shows the complex and anti-persistent permeability sequence. Electrofacies helps to improve the predictability of fuzzy prediction by showing the reduction of the prediction error up to 2.3%. The estimation is stable even as the number of input data decreases in contrast to that of traditional methods without the pre-treatment. The model provides a practical tool for predicting the wellbore permeability in a heterogeneous reservoir where it is difficult to establish a functional relationship between permeability and well log.

• 出版日期2013