High-Fidelity Weak Signal Extraction for Coiled Tubing Acoustic Telemetry via Micro-Lever Suspension and Joint...

Area of Science:

• Petroleum Engineering
• Signal Processing
• Acoustic Telemetry

Background:

• Coiled Tubing (CT) acoustic telemetry faces challenges with traditional probe "contact dead zones" and environmental noise.
• Weak signal detection hinders reliable data transmission in deep well operations.

Purpose of the Study:

• To develop a hardware-software integrated solution for high-fidelity signal extraction in CT acoustic telemetry.
• To overcome the limitations of traditional probes and complex noise interference.

Main Methods:

• Developed a novel micro-lever-based pickup probe with a pressure-balanced mechanism to eliminate the "contact dead zone".
• Implemented a joint denoising algorithm combining Complete Ensemble Empirical Mode Decomposition with Adaptive Noise and wavelet thresholding.
• Introduced a cross-correlation coefficient criterion for adaptive screening of intrinsic mode functions and noise elimination.

Main Results:

• The novel probe improved radial breathing mode detection sensitivity by approximately 20.6 dB.
• The joint denoising algorithm increased the Signal to Noise Ratio (SNR) by an additional 16.9 dB.
• Achieved normalized cross-correlation exceeding 0.96, demonstrating effective noise reduction and signal enhancement.

Conclusions:

• The proposed integrated solution effectively addresses weak signal detection bottlenecks in deep wells.
• Provides robust technical support for reliable Coiled Tubing telemetry operations.
• Demonstrates significant improvements in signal reception reliability and data quality.