Prediction of casing wear in extended-reach drilling

Intermediate casings in the build sections are subject to severe wear in extended-reach drilling. This paper presents a new method for predicting the depth of a wear groove on the intermediate casing. According to energy principle and dynamic accumulation of casing wear by tool joints, a model is established to calculate the wear area on the inner wall of the casing. The relationship functions between the wear groove depth and area are obtained based on the geometry relationship between the drillstring and the wear section and the assumption that the casing wear groove is crescent-shaped. The change of casing wear groove depth versus drilling footage under different-sized drillstrings is also discussed. A mechanical model is proposed for predicting casing wear location, which is based on the well trajectory and drillstring movement. The casing wear groove depth of a planned well is predicted with inversion of the casing wear factor from the drilled well and necessarily revised to improve the prediction accuracy for differences between the drilled well and the planned well. The method for predicting casing wear in extended-reach drilling is verified through actual case study. The effect of drillstring size on casing wear should be taken into account in casing wear prediction.

[1]  J. Celis,et al.  Expressing wear rate in sliding contacts based on dissipated energy , 2002 .

[2]  R. W. Hall,et al.  Contact Pressure Threshold: An Important New Aspect of Casing Wear , 2005 .

[3]  J. S. Williamson,et al.  Casing Wear: The Effect of Contact Pressure , 1981 .

[4]  Iain M. Rezmer-Cooper,et al.  Field Data Supports the Use of Stiffness and Tortuosity in Solving Complex Well Design Problems , 1999 .

[5]  Deli Gao,et al.  Limit analysis of extended reach drilling in South China Sea , 2009 .

[6]  Wei Hong-a,et al.  Method of casing wear prediction for Liuhua mega-extended-reach wells in South China Sea. , 2006 .

[7]  J. M. Schoenmakers Casing wear during drilling: Simulation, prediction, and control , 1987 .

[8]  Zhang Laibin,et al.  THE RESEARCH ON CALCULATION METHOD OF CASING WEAR CAUSED BY DRILL-PIPE REVOLUTION , 2004 .

[9]  John Vozniak,et al.  Recent Advances in Casing Wear Technology , 1994 .

[10]  Rapier Dawson,et al.  Casing Wear: Laboratory Measurements and Field Predictions , 1987 .

[11]  L. J. Yang A methodology for the prediction of standard steady-state wear coefficient in an aluminium-based matrix composite reinforced with alumina particles , 2005 .

[12]  W. B. Bradley,et al.  The Prediction and Control of Casing Wear (includes associated papers 6398 and 6399 ) , 1975 .

[13]  H. C. Juvkam-Wold,et al.  Casing deflection and centralizer spacing calculations , 1992 .

[14]  Frank Reiber,et al.  On-Line Torque & Drag: A Real-Time Drilling Performance Optimization Tool , 1999 .

[15]  Robello Samuel,et al.  Tortuosity Factors for Highly Tortuous Wells: A Practical Approach , 2005 .