Proceedings of the 2nd Annual International Conference on Advanced Material Engineering (AME 2016)

Real-time Surveillance System of Mechanical Specific Energy Applied in Drilling Parameters Optimization

Authors
Yong-Xing Sun, Li-Hua Qiao, Hai-Fang Sun, Lie-Xiang Han, Guo Zhang
Corresponding Author
Yong-Xing Sun
Available Online June 2016.
DOI
10.2991/ame-16.2016.128How to use a DOI?
Keywords
Drilling, Mechanical Specific Energy (MSE), Parameters Optimization, Application Evaluation.
Abstract

High efficiency in drilling is measured by Mechanical Specific Energy (MSE). MSE can be expressed mathematically in terms of controllable parameters Weight on Bit (WOB), Rate of Penetration (ROP), Revolutions per Minute (RPM) etc. Once the optimum WOB was determined, the correlation with Torque and Penetration per Revolution was used to determine optimum values for those parameters for a given drilling situation. The MSE surveillance process provides the ability to detect changes in the efficiency of the drilling system, more or less continuously. The use of MSE surveillance is a key feature of well planning and operational practice, MSE analysis has resulted in redesigned in areas as diverse as well control practices, bit selection, BHA design, makeup torque, directional target sizing and motor differential ratings. Through lots investigation and research, my research group has redesigned the MSE calculation modes and developed a MSE software system and applied in some wells and developed a software, whose ROP was increased an average of 80% on several pilot wells.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2nd Annual International Conference on Advanced Material Engineering (AME 2016)
Series
Advances in Engineering Research
Publication Date
June 2016
ISBN
978-94-6252-208-4
ISSN
2352-5401
DOI
10.2991/ame-16.2016.128How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Yong-Xing Sun
AU  - Li-Hua Qiao
AU  - Hai-Fang Sun
AU  - Lie-Xiang Han
AU  - Guo Zhang
PY  - 2016/06
DA  - 2016/06
TI  - Real-time Surveillance System of Mechanical Specific Energy Applied in Drilling Parameters Optimization
BT  - Proceedings of the 2nd Annual International Conference on Advanced Material Engineering (AME 2016)
PB  - Atlantis Press
SP  - 771
EP  - 777
SN  - 2352-5401
UR  - https://doi.org/10.2991/ame-16.2016.128
DO  - 10.2991/ame-16.2016.128
ID  - Sun2016/06
ER  -