Power consumption of wellbore drilling in oil and gas exploitations count for 40% of total costs, hence power saving of WBM (water-based mud) by adding different concentrations of Al₂O₃, TiO₂ and SiO₂ nanoparticles is investigated here. A high-speed Taylor–Couette system (TCS) was devised to operate at speeds 0–1600 RPM to simulate power consumption of wellbore drilling using nanofluids in laminar to turbulent flow conditions. The TCS control unit uses several sensors to record current, voltage and rotational speed and Arduino microprocessors to process outputs including rheological properties and power consumption. Total power consumption of the TCS was correlated with a second-order polynomial function of rotational speed for different nanofluids, and the correlated parameters were found using an optimization technique. For the first time, energy saving of three nanofluids at four low volume concentrations 0.05, 0.1, 0.5 and 1% is investigated in the TCS simulating wellbore drilling operation. It is interesting to observe that the lower concentration nanofluids (0.05%) have better power savings. In average, for the lower concentration nanofluids (0.05%), power was saved by 39%, 30% and 26% for TiO₂, Al₂O₃ and SiO₂ WBM nanofluids, respectively. TiO₂ nanofluids have better power saving at lower concentrations of 0.05 and 0.1%, while Al₂O₃ nanofluids have saved more power at higher concentrations of 0.5 and 1.0% compared with their counterpart nanofluids.

油气开发井筒钻探电耗占总成本的40%，加入不同浓度的Al ₂ O ₃、TiO ₂和SiO ₂的WBM（水基泥浆）节能这里研究了纳米粒子。设计了高速 Taylor-Couette 系统 (TCS) 以 0-1600 RPM 的速度运行，以模拟在层流到湍流条件下使用纳米流体进行井眼钻探的功耗。TCS 控制单元使用多个传感器来记录电流、电压和转速，并使用 Arduino 微处理器来处理输出，包括流变特性和功耗。TCS 的总功耗与不同纳米流体的转速的二阶多项式函数相关，并使用优化技术找到相关参数。首次在TCS模拟井眼钻井作业中研究了四种低体积浓度0.05、0.1、0.5和1%的三种纳米流体的节能效果。有趣的是观察到较低浓度的纳米流体 (0.05%) 具有更好的节能效果。平均而言，对于较低浓度的纳米流体 (0.05%)，TiO 的功率节省了 39%、30% 和 26%_图2分别是Al ₂ O ₃和SiO ₂ WBM纳米流体。与对应的纳米流体相比，TiO ₂纳米流体在 0.05 和 0.1% 的较低浓度下具有更好的节能效果，而 Al ₂ O ₃纳米流体在 0.5 和 1.0% 的较高浓度下具有更多的节能效果。