Abstract

Scientific selection of drill bits during drilling is a key technology to achieve high-speed drilling and reduce drilling costs. Based on the analysis of bit’s working principles and its applicable conditions and in accordance with the well conditions of ultra-deep wells in Y area of Tarim Oilfield, this study has conducted mathematical statistics on a large number of actual drilling practices and detailed information of the drilling bits. As well, we studied the distribution of three-dimensional drillability in this area and optimized drilling parameters under neural network ROP model. Finally we put forth a set of comprehensive optimal selection techniques of bits that is applicable to Y Area. Field results show that the application of these comprehensive optimal selection techniques will enable a single well’s penetration rate to increase by 30%, thus making a useful attempt to solve the deep well speed problems in Y Area.

Keywords:

Comprehensive optimal selection, drillability, drilling bits, drilling parameters, neural network , ROP,

References

1. Bilgesu, H.I., L.T. Tetrick, U. Altmis, S. Mohaghegh and S. Ameri, 1997. A new approach for the prediction of Rate of Penetration (ROP) Values. SPE 39231, Proceedings of Eastern Regional Conference and Exhibition, Lexington, KY, October 22-24.
   
2. Bourgoyn, A.T., K.K. Millhem, M.E. Chenevert and F.S. Young, 2003. Applied Drilling Engineering. 9th Edn., SPE Textbook Series, Richardson, USA, pp: 232.
   
3. Bourgoyne, A.T. and F.S. Young, 1999. A multiple regression approach to optimal drilling and abnormal pressure detection. Reprint Series, SPE, Richardson, Texas, 49: 27-40.
   
4. Estes, J.C. and B.V. Randall, 1977. Practical application of optimal drilling operations. Proceeding of the AIDC Drilling Technology Conference, New Orleans.
   
5. Galle, E.M. and H.B. Woods, 1960. Variable weight and rotary speed for lowest drilling cost. Proceeding of the AAODC Annual Meeting, New Orleans.
   PMid:14403249    
6. Hareland, G. and L.L. Hoberock, 1993. Use of drilling parameters to predict in-situ stress bounds. Proceeding of the 1997 SPE/ IADC Drilling Conference. Amsterdam, the Netherlands, SPE Paper 25727.
   CrossRef    
7. He, L. and C.Q. Zhu, 2006. Research on western Sichuan strata drillability. Drill. Prod. Technol., 29(3): 98-99 (In Chinese).
   
8. Li, J. and P.M. Bian, 2006. Optimization and evaluation of drill-bit by mathematic statistic principal. Southern Oil, 42(3): 52-55 (In Chinese).
   
9. Mahmood, B. and K. Mohammadreza, 2007. Investigation of various ROP models and optimization of drilling parameters for PDC and roller-cone bits in shadegan oil field. Proceeding of International Oil and Gas Conference and Exhibition in China. Beijing, China, SPE 130932.
   
10. Warren, T.M., 1987. Penetration-rate Performance of Roller-cone Bit. Paper SPE 13259, Drilling Engineering.
    
11. Winters, W.J., T.M. Warren and E.C. Onyia, 1987. Roller bit model with rock ductility and cone offset. Proceeding of SPE Annual Technical Conference and Exhibition. Dallas, Texas, SPE-16696-MS.
    CrossRef    
12. Xiong, J.Y., K.Y. Pu and J. Zhou, 2009. Rock drillability investigation for ultra-deep well drilling at thrust structure of Kuqa depression. Nat. Gas Ind., 29(11): 59-61 (In Chinese).
    

Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.