Meng Lingdong, Zhang Xiaoling, Jin Yejun, Yan Kun, Li Ziyang, Fu Hailong, Li Song
School of Earth Sciences, Northeast Petroleum University, Daqing, 163318, China.
FAPS Energy Technology Ltd, Daqing, 163318, China.
Sci Rep. 2025 Jan 28;15(1):3559. doi: 10.1038/s41598-025-88027-y.
It is a common occurrence in the fracture processes of deep carbonate reservoirs that the fracturing construction pressure during hydraulic fracturing operation exceeds 80 MPa. The maximum pumping pressure is determined by the rated pressure of the pumping pipe equipment and the reservoir characteristics, which confine the fracture to the target area. When the pump pressure exceeds the safety limit, hydraulic fracturing has to reduce the construction displacement to prevent potential accidents caused by overpressure. Therefore, real-time prediction of the fracturing construction pressure and diagnosis of abnormal fluctuations during hydraulic fracturing of highly deviated wells are indispensable. Based on the well trajectory, pumping process, and string structure of highly deviated wells, a movement interface model for the fracturing fluid at different stages within the wellbore has been established, using the method of computational fluid dynamics. This model analyzes the fluid movement behavior with diverse properties at various fracturing times and determines the relationship between the pressure changes at the leading and trailing edges of fluid movement in each section of the wellbore over time by combining different string structures and preset pumping procedures. The frictional pressure within the wellbore fluid, the hydrostatic fluid pressure, and the near-well friction drags have been calculated and predicted. A real-time prediction model for diagnosing pumping fracturing has been constructed to further comprehend "abnormal" fracturing construction pressures in highly deviated wells. This offers a theoretical foundation for the correct diagnosis and decision-making regarding hydraulic fracturing in highly deviated wells while guiding its smooth implementation in real time.
在深层碳酸盐岩储层压裂过程中,水力压裂作业时的压裂施工压力超过80MPa是常见现象。最大泵注压力由泵注管汇设备的额定压力和储层特性决定,这些因素将裂缝限制在目标区域内。当泵压超过安全极限时,水力压裂不得不降低施工排量,以防止超压引发潜在事故。因此,实时预测高斜井水力压裂施工压力并诊断异常波动是必不可少的。基于高斜井的井眼轨迹、泵注过程和管柱结构,运用计算流体动力学方法,建立了井筒内不同阶段压裂液的运动界面模型。该模型分析了不同压裂时刻具有不同性质的流体运动行为,并通过结合不同的管柱结构和预设的泵注程序,确定了井筒各段流体运动前缘和后缘压力随时间的变化关系。计算并预测了井筒内流体的摩擦压力、流体静压力和近井摩阻。构建了用于诊断泵注压裂的实时预测模型,以进一步理解高斜井中“异常”的压裂施工压力。这为高斜井水力压裂的正确诊断和决策提供了理论基础,同时实时指导其顺利实施。