Abstract This study aims to accurately predict the drag reduction rate of xanthan gum in hydraulic fracturing to enhance efficiency and safety. We use experimental and theoretical methods. First, we conduct drag reduction tests with xanthan gum in a lab-scale pipeline under various conditions. Then, we analyse the effects of Reynolds number and polymer concentration on drag reduction. We develop a two-factor-interaction empirical model using surface response methodology, incorporating Reynolds number and polymer concentration. The model is validated through quantitative analysis. Results show that within a certain range, higher Reynolds number and polymer concentration lead to greater drag reduction. The model effectively predicts drag reduction rates across different conditions, providing a basis for xanthan gum application. Accurate prediction helps optimize fracturing fluid designs, improve efficiency, and reduce costs.
Yang et al. (Fri,) studied this question.