Downhole Drilling Processing Data Acquisition and Stick Slip Characteristic Analysis

Authors

Huang Sheng, 1. School of Information and Communication Engineering, Beijing Information Science and Technology University, Beijing 100101, China; ;
Zhang Tao, 2. Beijing Key Laboratory of High Dynamic Navigation Technology, Beijing Information Science and Technology University, Beijing 100101, China; ;
Chongjun Huang, 3. Drilling and Production Engineering Technology Research Institute, CNPC Chuanqing Drilling Engineering Co., Ltd., Guanghan, 618300, China;
Yumei Li, 2. Beijing Key Laboratory of High Dynamic Navigation Technology, Beijing Information Science and Technology University, Beijing 100101, China; ;
Deng Hu, 3. Drilling and Production Engineering Technology Research Institute, CNPC Chuanqing Drilling Engineering Co., Ltd., Guanghan, 618300, China;
Zhang Xia, 1. School of Information and Communication Engineering, Beijing Information Science and Technology University, Beijing 100101, China; ;

Abstract

Abstract: During oil drilling process, drill string vibrations are detrimental to the bit and drill string, which even causes failure of equipment. Researches show that, studying the law of near bit vibration data can reduce non-production time (NPT) and improve drilling efficiency. This paper uses power spectral density and wavelet transform to analyze vibration signals, then compares with normal drilling situation to find out stick slip characteristics. The results show that, when stick slip occurs, the mean value of lateral vibration fluctuates greatly, which indicates stick slip is mainly based on torsional vibration. From the perspective of power spectral density analysis, the energy of the unit frequency is bigger than normal drilling. Moreover, there is a distinct peak different from that in normal drilling in time frequency domain. Therefore, it is expected that the results can help the driller optimize drilling performance and increase the rate of penetration (ROP) and decrease drilling cost.

Recommended Citation

Sheng, Huang; Tao, Zhang; Huang, Chongjun; Li, Yumei; Hu, Deng; and Xia, Zhang (2019) "Downhole Drilling Processing Data Acquisition and Stick Slip Characteristic Analysis," Journal of System Simulation: Vol. 31: Iss. 11, Article 39.
DOI: 10.16182/j.issn1004731x.joss.19-FZ0332
Available at: https://dc-china-simulation.researchcommons.org/journal/vol31/iss11/39

First Page

2517

Revised Date

2019-07-16

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.19-FZ0332

Last Page

2526

CLC

TP391.9

Recommended Citation

Huang Sheng, Zhang Tao, Huang Chongjun, Li Yumei, Deng Hu, Zhang Xia. Downhole Drilling Processing Data Acquisition and Stick Slip Characteristic Analysis[J]. Journal of System Simulation, 2019, 31(11): 2517-2526.

DOI

10.16182/j.issn1004731x.joss.19-FZ0332