A new model for predicting fluid loss in nanoparticle modified drilling mud

Abstract

Quantitative prediction of the properties for nano-modified drilling mud has evolved over time as a challenge towards its application. The known predictive models used in the description of drilling mud performance cannot quantitatively capture the impact of nanoparticles. In this work, existing theories on the kinetics of mud cake formation and colloidal particle behavior were applied in deriving a new fluid loss model. The new model described the fluid loss behavior of the mud with the capability of predicting a maximum for cumulative value. The new model was compared with the known API model using statistical measures, Root Mean Square Error (RMSE) and Coefficient of Determination (R2). The new model compares favorably with the API model with RMSE and R2 values 0.8549–0.4595 cm3 and 98.9–99.9% respectively. The development of the model for nano-drilling fluids would allow for detailed modeling, design and cost-effective drilling operations as the quantitative amount of nanoparticles required would be captured.