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Casing wear prediction model in consideration of sinusoidal buckled drill string
TAN Leichuan1,2, GAO Deli1, ADEEB Samer2, TAO Hong3, TAO Ye4, WANG Zhengxu1, REN Shaoran5, PANG Wanying6, ZHANG Xinfang6
(1.MOE Key Laboratory of Petroleum Engineering, China University of Petroleum(Beijing),Beijing 102249, China;2.Department of Civil & Environmental Engineering,University of Alberta, Edmonton T6G1H9, Canada;3.Drilling & Production Technology Research Institute, Chuanqing Drilling Engineering Company Limited, PetroChina, Guanghan 618300, China;4.Training Center, Chuanqing Drilling Engineering Company Limited, PetroChina, Chengdu 610015, China;5.School of Petroleum Engineering in China University of Petroleum(East China), Qingdao 266580, China;6.School of Mining & Petroleum Engineering,University of Alberta, Edmonton T6G1H9, Canada)
Abstract:
During well-drilling process, due to large drag, torque and serious buckling condition, the drill string is inevitably in contact with the casing surface, which can lead to wear of the casing. In this paper, an improved casing wear prediction model in consideration of sinusoidal buckled drill string was developed based on energy dissipation principles and the geometric shape of the buckled pipe. A casing wear factor was introduced in the model, and it can be calibrated using collected parameters from wellbore caliper testing for wells with similar well structure and trajectory. The calibrated model was then applied to the casing wear prediction in Fuling shale gas field, and the prediction results of well X2 through the caliper testing data from a similar well of X1 show that, as the measured well depth to 2700 m, the calculation error of casing wear can be over 23.9% if sinusoidal buckling is not considered. Besides, the predicted location that serious wear may occur was of 1989 m using a previously proposed steady state model, but it is of 1794 m with the new model prediction, and the error is 9.8%. The results indicate that the previous models might be inaccurate in predicting the casing wear.
Key words:  casing wear prediction  sinusoidal buckled drill string  inversion calculation  prediction accuracy  Fuling shale gas