Affiliations: [a] School of Computer Science, Yangtze University, Jingzhou 434023, Hubei, China | [b] Production Logging Center, CNPC Logging, Xi’an 710201, Shaanxi, China | [c] School of Electronics and Information, Yangtze University, Jingzhou 434023, Hubei, China
Correspondence:
[*]
Corresponding author: Caifeng Cheng, School of Electronics and Information, Yangtze University, Jingzhou 434023, Hubei, China. E-mail: [email protected].
Abstract: Downstream transmission of the drilling-oriented parameters means that the drilling control parameter information at the surface is transmitted to the down-hole drill bit, and the drill bit is controlled to perform the construction according to the predetermined wellbore trajectory. It not only interrupts the normal drilling operation but also transfers the ground information to the underground pulse system in real time. The biggest problem affecting signal processing and signal decoding is noise interferences. Effective signal processing methods can improve the correctness and reliability of the received signal analysis and processing. To this end, a drilling fluid pulse signal processing method based on Kalman filter is proposed. First, according to the relationship between the noise of the drilling pump and the pump impulse, the harmonic frequency of the pump noise and the corresponding amplitude phase are obtained to realize the reconstruction of the pump noise, thereby achieving the removal of the pump noise. For removing the signal after the pump noise, the remaining noise can be treated as additive noise, and then the Kalman filter is used to achieve real-time signal filtering. The experimental results show that the pump noise is the main source of disturbance of the drilling fluid pulse signal. The Kalman filtering method proposed is practical and effective for filtering the drilling fluid pulse signal. The efficient and accurate real-time transmission of information is a key factor in improving drilling safety, reliability, and maximizing drilling cost.
