At present, steam-assisted gravity drainage technology has failed to meet the requirement for the large-scale development of abundant oil sands resources due to high production cost and serious environmental pollution caused by huge amounts of carbon emissions. Therefore, this paper proposes a radio frequency technology for heating oil sands and establishes a corresponding mathematical model that considers the phase transition of water. Then, a lab-scale experimental setup is designed to experimentally investigate the performance of radio frequency heating based on the phase change. Finally, the influences of phase transition of water on the temperature distribution of oil sand samples are analyzed in detail. The results show that the mathematical model of radio frequency heating can accurately predict the temperature distribution prior to the phase transition of water due to the little effect of phase transition on the thermal properties and density of oil sand samples. The failure to consider the effect of phase transition of water on electrical conductivity of oil sand in the mathematical model accounts for a large deviation between the measured temperature data and numerical results. So, in order to make the calculated temperature results more accurate, this effect should be considered during numerical simulation.

目前，由于高额的生产成本和大量的碳排放造成的严重环境污染，蒸汽辅助重力排水技术未能满足大规模开发油砂资源的要求。因此，本文提出了一种加热油砂的射频技术，并建立了一种考虑水的相变的数学模型。然后，设计了实验室规模的实验装置，以根据相变对射频加热的性能进行实验研究。最后，详细分析了水的相变对油砂样品温度分布的影响。结果表明，由于相变对油砂样品的热学性质和密度影响很小，因此射频加热数学模型可以准确预测水的相变之前的温度分布。在数学模型中未能考虑水的相变对油砂电导率的影响的原因是实测温度数据与数值结果之间存在较大偏差。因此，为了使计算出的温度结果更准确，在数值模拟过程中应考虑这种影响。在数学模型中未能考虑水的相变对油砂电导率的影响的原因是实测温度数据与数值结果之间存在较大偏差。因此，为了使计算出的温度结果更准确，在数值模拟过程中应考虑这种影响。在数学模型中未能考虑水的相变对油砂电导率的影响的原因是实测温度数据与数值结果之间存在较大偏差。因此，为了使计算出的温度结果更准确，在数值模拟过程中应考虑这种影响。