注水泥过程中水泥浆最高循环温度动态预测模型

Dynamic Prediction Model for Maximum Circulating Temperature of Cement Slurry during Cementing Process

  • 摘要: 准确预测注水泥过程中水泥浆的最高循环温度,是优化水泥浆性能、防控施工风险及提升固井质量的关键前提。为此,基于流体体积置换与井筒−地层耦合传热机制,建立了多流体依次注入的井筒多区域瞬态传热数学模型;采用全隐式有限差分法求解模型,并结合流体密度−温度矩阵映射关系,构建了领浆与尾浆最高温度的动态计算分析模型。结果表明:在流体热物性与注入参数共同作用下,井筒温度场呈现强烈的非线性演化特征;温度峰值并非固定于井底,而是随着流体循环逐渐向上推移。领浆与尾浆的最高温度均出现在井筒中下部;当领浆到达井底后,井底温度迅速下降且热交换显著增强;同时,喇叭口处温度在注水泥初期经历明显降幅后,逐步回升并最终趋于稳定。构建的水泥浆最高循环温度动态预测模型实现了注水泥动态置换工况下的井筒温度精确预测,为合理设定水泥浆稠化时间、优化水泥浆配方及科学制定施工参数提供了可靠的理论依据与技术支撑。

     

    Abstract: Accurately predicting the maximum circulating temperature of cement slurry during the cementing process is a critical prerequisite for optimizing cement slurry performance, preventing operational risks, and enhancing cementing quality. To this end, based on the fluid volume displacement and wellbore-formation coupled heat transfer mechanisms, a multi-region transient heat transfer mathematical model for the wellbore under sequential injection of multiple fluids was established. The model was solved using the fully implicit finite difference method, and combined with a fluid density-temperature matrix mapping relationship, and a dynamic calculation and analysis model for the maximum temperatures of both the lead slurry and the tail slurry was constructed. The results indicated that under the combined effects of fluid thermophysical properties and injection parameters, the wellbore temperature field exhibited highly nonlinear evolution characteristics. The temperature peak did not remain fixed at the bottom hole but gradually migrated upward as the fluid circulated. Specifically, the maximum temperatures of both the lead slurry and the tail slurry occurred in the lower-middle section of the wellbore. After the lead slurry reached the bottom hole, the bottom-hole temperature dropped rapidly, and the heat exchange intensified significantly. Meanwhile, the temperature at the bell mouth experienced a notable decrease in the early stage of cementing, then gradually rebounded, and eventually approached thermal equilibrium. The model developed in this study achieved accurate prediction of wellbore temperature under dynamic displacement conditions during cementing, providing a reliable theoretical basis and technical support for reasonably setting cement slurry thickening time, optimizing slurry formulations, and scientifically determining operational parameters.

     

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