Downhole Drilling Processing Data Acquisition and Stick Slip Characteristic Analysis

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

Journal of System Simulation ›› 2019, Vol. 31 ›› Issue (11): 2517-2526.doi: 10.16182/j.issn1004731x.joss.19-FZ0332

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Downhole Drilling Processing Data Acquisition and Stick Slip Characteristic Analysis

Huang Sheng¹, Zhang Tao², Huang Chongjun³, Li Yumei², Deng Hu³, Zhang Xia¹

1. School of Information and Communication Engineering, Beijing Information Science and Technology University, Beijing 100101, China;
2. Beijing Key Laboratory of High Dynamic Navigation Technology, Beijing Information Science and Technology University, Beijing 100101, China;
3. Drilling and Production Engineering Technology Research Institute, CNPC Chuanqing Drilling Engineering Co., Ltd., Guanghan, 618300, China

Received:2019-04-25 Revised:2019-07-16 Online:2019-11-10 Published:2019-12-13
Supported by:
Beijing Municipality is a high-level teacher team support program for young people - Youth Talent Development Program (CIT&TCD201804057), Beijing Municipal Education Commission General Project (KM201811232011)

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.

Key words: data acquisition, stick slip, power spectral density, wavelet transform

CLC Number:

TP391.9

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.

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Downhole Drilling Processing Data Acquisition and Stick Slip Characteristic Analysis

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