Optimizing the Apparent Viscosity of Polymer-Based Hydraulic Fracturing Fluids

In this study, temperature, salinity, and shear rate data were extracted and normalized to investigate the effect on the apparent viscosity (AV) of two common hydraulic fracturing (HF) fluid polymers, guar, and xanthan. The purpose of this research is to optimize the AV to improve the accuracy and efficiency of laboratory results. For this purpose, data normalization was done to compare and analyze the results, examine the effects of different variables more accurately, and avoid possible data deviations. Statistical and optimization methods have been used, the details of which are fully described in this article. Using the linear regression technique on the data obtained from the analysis of variance (ANOVA), the relationship between the input variables and the rheological response was evaluated, which showed the accuracy of the model to be ۰.۹۹.

Keywords:

Hydraulic fracturing fluid , Apparent viscosity (AV) , Analysis of Variance (ANOVA) , Linear regression , Guar gum , Xanthan gum