TY - JOUR
T1 - Numerical simulation of non-isothermal supercritical water flow in ground pipeline and wellbore
T2 - An interactive sensitivity analysis and injection parameters optimization
AU - Lei, Yuhuan
AU - Zhao, Qiuyang
AU - Jin, Hui
AU - Zhang, Yanlong
AU - Wang, Xuetao
AU - Guo, Liejin
N1 - Publisher Copyright:
© 2023 Elsevier Masson SAS
PY - 2023/11
Y1 - 2023/11
N2 - Supercritical water injection is promising in enhanced heavy oil recovery, in which precise prediction and regulation of bottomhole parameters are the prerequisite for improving the recovery efficiency. However, dramatically changing thermophysical properties make it difficult to calculate the hydraulic and thermal resistances of supercritical water flow in ground pipeline and wellbore. In this work, a comprehensive mathematical model was established to simulate the non-isothermal flow of supercritical water from boiler outlet to bottomhole. Modified correlations of friction coefficients and convective heat transfer coefficients respectively developed for vertical and horizontal flow of supercritical water were coupled in momentum and energy conservation equations to calculate the hydraulic and thermal resistance. The model was validated by oilfield and laboratory data with the relative deviations of pressure and temperature less than 2%. The interactive sensitivity analysis was carried out by response surface method for injection parameters optimization. The results indicated that the heat loss in ground pipeline was comparable to that in wellbore once it reached 10 times longer than wellbore and should be taken into consideration. Increasing mass flux was found to be efficient for reducing the heat loss resulted from the decline of wellbore insulation. But there existed a matching combination of injection pressure and mass flux that making bottomhole temperature the highest. For a typical injection case with a poor insulation wellbore and limited injection temperature, a combination of high mass flux and low injection pressure was recommended for achieving targeted bottomhole temperature due to its high thermal efficiency.
AB - Supercritical water injection is promising in enhanced heavy oil recovery, in which precise prediction and regulation of bottomhole parameters are the prerequisite for improving the recovery efficiency. However, dramatically changing thermophysical properties make it difficult to calculate the hydraulic and thermal resistances of supercritical water flow in ground pipeline and wellbore. In this work, a comprehensive mathematical model was established to simulate the non-isothermal flow of supercritical water from boiler outlet to bottomhole. Modified correlations of friction coefficients and convective heat transfer coefficients respectively developed for vertical and horizontal flow of supercritical water were coupled in momentum and energy conservation equations to calculate the hydraulic and thermal resistance. The model was validated by oilfield and laboratory data with the relative deviations of pressure and temperature less than 2%. The interactive sensitivity analysis was carried out by response surface method for injection parameters optimization. The results indicated that the heat loss in ground pipeline was comparable to that in wellbore once it reached 10 times longer than wellbore and should be taken into consideration. Increasing mass flux was found to be efficient for reducing the heat loss resulted from the decline of wellbore insulation. But there existed a matching combination of injection pressure and mass flux that making bottomhole temperature the highest. For a typical injection case with a poor insulation wellbore and limited injection temperature, a combination of high mass flux and low injection pressure was recommended for achieving targeted bottomhole temperature due to its high thermal efficiency.
KW - Friction coefficient
KW - Ground pipeline and wellbore
KW - Heat transfer coefficient
KW - Injection parameters optimization
KW - Parameter interactive sensitivity analysis
KW - Supercritical water injection
UR - https://www.scopus.com/pages/publications/85162760435
U2 - 10.1016/j.ijthermalsci.2023.108467
DO - 10.1016/j.ijthermalsci.2023.108467
M3 - 文章
AN - SCOPUS:85162760435
SN - 1290-0729
VL - 193
JO - International Journal of Thermal Sciences
JF - International Journal of Thermal Sciences
M1 - 108467
ER -