Noise Cancellation Method for Mud Pulse Telemetry Based on Discrete Fourier Transform
Mud pulse telemetry (MPT) systems are widely recognized for their effectiveness and are most commonly used to transmit downhole data to the surface in real time. These data facilitate the drilling process and make it more cost-efficient. In MPT, the mud channel presents a challenging communication e...
Saved in:
Main Authors: | , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2025-01-01
|
Series: | Journal of Marine Science and Engineering |
Subjects: | |
Online Access: | https://www.mdpi.com/2077-1312/13/1/75 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
_version_ | 1832588212201062400 |
---|---|
author | Jingchen Zhang Zitong Sha Xingbin Tu Zhujun Zhang Jiang Zhu Yan Wei Fengzhong Qu |
author_facet | Jingchen Zhang Zitong Sha Xingbin Tu Zhujun Zhang Jiang Zhu Yan Wei Fengzhong Qu |
author_sort | Jingchen Zhang |
collection | DOAJ |
description | Mud pulse telemetry (MPT) systems are widely recognized for their effectiveness and are most commonly used to transmit downhole data to the surface in real time. These data facilitate the drilling process and make it more cost-efficient. In MPT, the mud channel presents a challenging communication environment, primarily due to various sources of noises, with pump noise being the most dominant. In this paper, a noise cancellation method based on discrete Fourier transform (DFT) is proposed for demodulation under a low signal-to-noise ratio, eliminating the pump noise generated by two pumps with a single sensor during drilling. The method employs DFT to estimate the noise spectrum, subtracts noises from the received signal, and performs an inverse transformation to reconstruct the original signal estimation. The effectiveness of the proposed method is evaluated through a simulation analysis and field experiments. The simulation results indicate that the major components of multiple pump noises could be successfully eliminated. The field experiment results demonstrate that the demodulation of the received data achieves advanced data rate communication and a low bit error rate (BER) in a 3000 m drilling system. |
format | Article |
id | doaj-art-86d7c7d5b35d4380b5559389c62c01a4 |
institution | Kabale University |
issn | 2077-1312 |
language | English |
publishDate | 2025-01-01 |
publisher | MDPI AG |
record_format | Article |
series | Journal of Marine Science and Engineering |
spelling | doaj-art-86d7c7d5b35d4380b5559389c62c01a42025-01-24T13:36:46ZengMDPI AGJournal of Marine Science and Engineering2077-13122025-01-011317510.3390/jmse13010075Noise Cancellation Method for Mud Pulse Telemetry Based on Discrete Fourier TransformJingchen Zhang0Zitong Sha1Xingbin Tu2Zhujun Zhang3Jiang Zhu4Yan Wei5Fengzhong Qu6Key Laboratory of Ocean Observation-Imaging Test Bed of Zhejiang Province, Zhejiang University, Zhoushan 316021, ChinaKey Laboratory of Ocean Observation-Imaging Test Bed of Zhejiang Province, Zhejiang University, Zhoushan 316021, ChinaKey Laboratory of Ocean Observation-Imaging Test Bed of Zhejiang Province, Zhejiang University, Zhoushan 316021, ChinaKey Laboratory of Ocean Observation-Imaging Test Bed of Zhejiang Province, Zhejiang University, Zhoushan 316021, ChinaKey Laboratory of Ocean Observation-Imaging Test Bed of Zhejiang Province, Zhejiang University, Zhoushan 316021, ChinaKey Laboratory of Ocean Observation-Imaging Test Bed of Zhejiang Province, Zhejiang University, Zhoushan 316021, ChinaKey Laboratory of Ocean Observation-Imaging Test Bed of Zhejiang Province, Zhejiang University, Zhoushan 316021, ChinaMud pulse telemetry (MPT) systems are widely recognized for their effectiveness and are most commonly used to transmit downhole data to the surface in real time. These data facilitate the drilling process and make it more cost-efficient. In MPT, the mud channel presents a challenging communication environment, primarily due to various sources of noises, with pump noise being the most dominant. In this paper, a noise cancellation method based on discrete Fourier transform (DFT) is proposed for demodulation under a low signal-to-noise ratio, eliminating the pump noise generated by two pumps with a single sensor during drilling. The method employs DFT to estimate the noise spectrum, subtracts noises from the received signal, and performs an inverse transformation to reconstruct the original signal estimation. The effectiveness of the proposed method is evaluated through a simulation analysis and field experiments. The simulation results indicate that the major components of multiple pump noises could be successfully eliminated. The field experiment results demonstrate that the demodulation of the received data achieves advanced data rate communication and a low bit error rate (BER) in a 3000 m drilling system.https://www.mdpi.com/2077-1312/13/1/75mud pulse telemetrydiscrete Fourier transformmultiple pumpsnoise cancellationsignal extraction |
spellingShingle | Jingchen Zhang Zitong Sha Xingbin Tu Zhujun Zhang Jiang Zhu Yan Wei Fengzhong Qu Noise Cancellation Method for Mud Pulse Telemetry Based on Discrete Fourier Transform Journal of Marine Science and Engineering mud pulse telemetry discrete Fourier transform multiple pumps noise cancellation signal extraction |
title | Noise Cancellation Method for Mud Pulse Telemetry Based on Discrete Fourier Transform |
title_full | Noise Cancellation Method for Mud Pulse Telemetry Based on Discrete Fourier Transform |
title_fullStr | Noise Cancellation Method for Mud Pulse Telemetry Based on Discrete Fourier Transform |
title_full_unstemmed | Noise Cancellation Method for Mud Pulse Telemetry Based on Discrete Fourier Transform |
title_short | Noise Cancellation Method for Mud Pulse Telemetry Based on Discrete Fourier Transform |
title_sort | noise cancellation method for mud pulse telemetry based on discrete fourier transform |
topic | mud pulse telemetry discrete Fourier transform multiple pumps noise cancellation signal extraction |
url | https://www.mdpi.com/2077-1312/13/1/75 |
work_keys_str_mv | AT jingchenzhang noisecancellationmethodformudpulsetelemetrybasedondiscretefouriertransform AT zitongsha noisecancellationmethodformudpulsetelemetrybasedondiscretefouriertransform AT xingbintu noisecancellationmethodformudpulsetelemetrybasedondiscretefouriertransform AT zhujunzhang noisecancellationmethodformudpulsetelemetrybasedondiscretefouriertransform AT jiangzhu noisecancellationmethodformudpulsetelemetrybasedondiscretefouriertransform AT yanwei noisecancellationmethodformudpulsetelemetrybasedondiscretefouriertransform AT fengzhongqu noisecancellationmethodformudpulsetelemetrybasedondiscretefouriertransform |