首页|Wellbore-heat-transfer-model-based optimization and control for cooling downhole drilling fluid

Wellbore-heat-transfer-model-based optimization and control for cooling downhole drilling fluid

扫码查看
To address the two critical issues of evaluating the necessity of implementing cooling techniques and achieving real-time temperature control of drilling fluids underground in the current drilling fluid cooling technology,we first established a temperature and pressure coupled downhole heat transfer model,which can be used in both water-based and oil-based drilling fluid.Then,fourteen factors,which could affect wellbore temperature,were analyzed.Based on the standard deviation of the downhole temperature corresponding to each influencing factor,the influence of each factor was quantified.The influencing factors that can be used to guide the drilling fluid's cooling technology were drilling fluid thermal conductivity,drilling fluid heat capacity,drilling fluid density,drill strings rotation speed,pump rate,viscosity,ROP,and injection temperature.The nondominated sorting genetic algorithm was used to optimize these six parameters,but the optimization process took 182 min.Combining these eight pa-rameters'influence rules with the nondominated sorting genetic algorithm can reduce the optimization time to 108 s.Theoretically,the downhole temperature has been demonstrated to increase with the inlet temperature increasing linearly under quasi-steady states.Combining this law and PID,the downhole temperature can be controlled,which can reduce the energy for cooling the surface drilling fluid and can ensure the downhole temperature reaches the set value as soon as possible.

DrillingCoolingInfluencing factorsAnalysisOptimizationControl

Chao Wang、He Liu、Guo-Wei Yu、Chen Yu、Xian-Ming Liu、Peng Huang

展开 >

Yangtze University,Jingzhou,434023,Hubei,China

State Key Laboratory of Petroleum Resources and Engineering,China University of Petroleum(Beijing),Beijing,102249,China

CNPC Bohai Drilling Engineering Co.,Ltd,Tianjin,300280,China

Exploration Development and Construction Engineering Division of PetroChina Jidong Oilfield Company,Tangshan,063200,Hebei,China

Henan University of Urban Construction,Pingdingshan,467036,Henan,China

展开 >

National Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaState Key Laboratory of Petroleum Resources and Engineering,China University of Petroleum,Beijing

5230400152227804PRE/open-2310

2024

石油科学(英文版)
中国石油大学(北京)

石油科学(英文版)

EI
影响因子:0.88
ISSN:1672-5107
年,卷(期):2024.21(3)