Experimental investigation of rheological properties of water-base mud with zinc oxide nanoparticles using response surface methodology

Abstract

Special and advanced techniques at drilling and production operations are used to drill and produce hydrocarbons from different eccentric reservoirs such as deep-water reservoirs, shale gas, and shale oil necessitates. However, these advanced techniques are considered to be costly and affecting the environment. Therefore, nanotechnology has been implemented in the drilling fluids to improve the rheological properties, hydrogen concentration, and filtration rate. This study is, therefore, aimed at evaluating the properties of zinc oxide nanoparticles and their previous implementation in drilling fluids, examining the rheological properties of water base mud from atmospheric temperature to downhole condition (90 °C). The experiment was designed to investigate the effect of nanoparticles concentration and temperature variation on the rheological properties of water-based mud using response surface methodology. A rotational viscometer was used to measure viscosity, yield point and gel strength. Moreover, a Consistometer was used to heat the fluid sample to different temperatures reaching up to downhole condition (90 °C). It was observed experimentally that addition of zinc oxide nanoparticles impressively improved the rheological properties of water-base mud by 50% for viscosity and gel strength, and 80% for yield point. It also allowed them to maintain their quality at all temperatures. Furthermore, addition of higher concentrations of zinc oxide nanoparticles of more than 1 wt% (6 g) at low temperatures (below 40 °C) gave the highest and most effective results of the rheological properties. • The effects of zinc oxide nanoparticles on rheological properties of water base mud were investigated. • Regression models were developed via Central Composite Design (CCD) method. • Zinc oxide nanoparticles impressively improved viscosity and gel strength by 50% and yield point by 80%. • Addition of more than 1 wt% (6 g) of zinc oxide nanoparticles at low temperatures below 40 °C was found effective. • The developed models' accuracy was affirmed at optimum point.