Signal analysis of acoustic gas influx detection method at the bottom of marine riser in deepwater drilling. (June 2018)

• Record Type: Journal Article
• Authors: Wang, Xiaohui; Guan, Zhichuan; Xu, Yuqiang; Tian, Yang
• Is Part Of: Journal of process control. Volume 66(2018)
• Page Start: 23
• Page End: 38
• Publication Date: 2018-06
• Subjects: TFM two-fluid model -- TF Fourier transform -- HHT Hilbert-Huang transform -- WDM Wellhead detection method -- DDMWD downhole detection method while drilling -- DMOMR detection method outside marine riser -- FFT fast Fourier transform -- DFT discrete Fourier transform -- STFT short time Fourier transform -- DFM drift flux model -- VF void fraction -- EOS equations of state -- EMD empirical mode decomposition -- HT Hilbert transform -- IMF intrinsic mode function -- OD outer diameter; Deepwater drilling -- Gas influx detection -- Marine riser -- Signal processing -- Two-fluid model -- Hilbert-Huang transform; Process control -- Periodicals; Fabrication -- Contrôle -- Périodiques; Process control; Periodicals; Electronic journals; 660.281
• DOI: 10.1016/j.jprocont.2017.12.008
• Languages: English
• ISSNs: 0959-1524

Abstract

Highlights: Fluid flow and sound propagation in section of marine riser is modeled and coupled. Acoustic data is processed using Fourier transform and Hilbert-Huang transform. Acoustic detection methods are more sensitive compared with wellhead detection method. HHT is advisable and has a high sensitivity with a threshold void fraction of 0.1%. Abstract: In this study, an extended two-fluid model (TFM) describing the gas-liquid two-phase flow when gas influx occurs and an acoustic model describing sound propagation within section of marine riser are proposed. The TFM and acoustic model are validated by comparison of the simulation results and filed data for pit gain, and the experimental tests on a custom-designed acoustic gas influx equipment respectively. These two models are coupled by the pressure of sound and solved using finite volume method. Moreover, two signal processing methods in acoustic gas influx detection based on Fourier transform (FT) and Hilbert-Huang transform (HHT) are introduced. Fourier spectrums and Hilbert-Huang spectrums of the simulated signals are presented in time-frequency or time-amplitude distributions respectively. The results show that compared with wellhead detection methods (WDM) which detect the variation of parameters such as pit gain, the two acoustic detection methods which are based on FT and HHT are more sensitive, and the sensitivity of the HHT method is the highest. The acoustic detection method based on HHT is effective and reliable to be further employed for well control and gas influx detection.