Mud pulse signal processing method and device

Abstract

The invention discloses a mud pulse signal processing method and device. The method comprises the steps: carrying out the forced denoising of a mud pulse sampling signal through frame synchronizationwavelet denoising, and obtaining a denoised frame synchronization signal; carrying out peak detection on the denoised frame synchronization signal to obtain a frame synchronization peak detection result; determining an original instruction signal in the mud pulse sampling signal according to a frame synchronization peak detection result; forced denoising is conducted on the original instruction signal through instruction wavelet denoising, a denoised instruction signal is obtained, and the length of the mud pulse sampling signal is twice that of the instruction signal. According to the invention, frame synchronization wavelet denoising is used to carry out first-stage forced denoising on a mud pulse sampling signal; and then secondary forced denoising is carried out on the original instruction signal through instruction wavelet denoising to obtain a denoised instruction signal, the denoising effect of the mud pulse signal is improved, calculation can be simplified through frame synchronization wavelet denoising and instruction wavelet denoising, and the denoising efficiency of the mud pulse signal is improved.

Description

technical field [0001] The invention relates to the technical field of oil and gas drilling engineering, in particular to a mud pulse signal processing method and device. Background technique [0002] This section is intended to provide a background or context to embodiments of the invention that are recited in the claims. The descriptions herein are not admitted to be prior art by inclusion in this section. [0003] With the continuous development of the petroleum industry and the increasing difficulty of oil and gas exploration and development, the petroleum exploration and development industry has gradually turned to the development of oil and gas reservoirs with thinner oil layers, poorer physical properties, and strong heterogeneity. Extended reach directional wells, The application of complex structure wells such as ultra-thin reservoir horizontal wells and multi-branch directional wells is increasing year by year. During the construction of these special craft wells...

AI Technical Summary

Problems solved by technology

[0005] In the existing technology, the wavelet packet decomposition tree method is used to denoise the mud pulse signal, which can solve the filtering problem of low-frequency and high-frequency components, but it increases the complexity of the calculation, and it is difficult to meet the needs of real-time high-speed data processing, resulting in mud Pulse signal processing efficiency is low

On the other hand, the existing methods for denoising the mud pulse signal still have the problem of poor denoising effect

[0006] Therefore, the existing mud pulse signal processing methods have the problems of low denoising efficiency and poor denoising effect

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