Noise Characteristics and Denoising Methods of Long-Offset Transient Electromagnetic Method

The advantages of the long-offset transient electromagnetic method include deep detection and sensitive response to resistivity anomalies. It is widely used in underground mineral resources exploration, fluid identification in petroleum reservoirs, hydraulic fracturing, and dynamic residual oil and...

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Main Authors: Yang Xu, Xingbing Xie, Lei Zhou, Biao Xi, Liangjun Yan
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Minerals
Subjects:
Online Access:https://www.mdpi.com/2075-163X/13/8/1084
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author Yang Xu
Xingbing Xie
Lei Zhou
Biao Xi
Liangjun Yan
author_facet Yang Xu
Xingbing Xie
Lei Zhou
Biao Xi
Liangjun Yan
author_sort Yang Xu
collection DOAJ
description The advantages of the long-offset transient electromagnetic method include deep detection and sensitive response to resistivity anomalies. It is widely used in underground mineral resources exploration, fluid identification in petroleum reservoirs, hydraulic fracturing, and dynamic residual oil and gas monitoring. After the primary field signal is turned off, grounded electrodes or coils are used to observe the secondary eddy field. The secondary field signal decays quickly and has a large dynamic range and a wide frequency band but is easily affected by various natural and human electromagnetic interferences. Therefore, noise reduction and distortion correction are important issues in the processing of transient electromagnetic data. This paper proposes a systematic noise interference suppression process. Multi-period and positive–negative bipolar signal stackings were used to remove random noise and suppress DC offset signals. Then, a time-domain inverse digital recursive method was applied to remove characteristic frequency signals, e.g., power frequency signals and their harmonic interference. A standard noise-free signal was constructed through forward modeling simulation and verified by adding different types of noise. Finally, high-quality transient electromagnetic secondary field attenuation signals were obtained through overlapping windowing technology. We applied this algorithm to obtain electromagnetic data from dynamic monitoring of hydraulic fracturing in Fuling shale gas and from a copper–iron metal mine in Daye City, demonstrating its effectiveness.
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spelling doaj.art-baeb12e54eef4ccdb0a80ce22979b6112023-11-19T02:21:32ZengMDPI AGMinerals2075-163X2023-08-01138108410.3390/min13081084Noise Characteristics and Denoising Methods of Long-Offset Transient Electromagnetic MethodYang Xu0Xingbing Xie1Lei Zhou2Biao Xi3Liangjun Yan4Key Laboratory of Exploration Technology for Oil and Gas Resources (Yangtze University), Ministry of Education, Wuhan 430100, ChinaKey Laboratory of Exploration Technology for Oil and Gas Resources (Yangtze University), Ministry of Education, Wuhan 430100, ChinaKey Laboratory of Exploration Technology for Oil and Gas Resources (Yangtze University), Ministry of Education, Wuhan 430100, ChinaKey Laboratory of Exploration Technology for Oil and Gas Resources (Yangtze University), Ministry of Education, Wuhan 430100, ChinaKey Laboratory of Exploration Technology for Oil and Gas Resources (Yangtze University), Ministry of Education, Wuhan 430100, ChinaThe advantages of the long-offset transient electromagnetic method include deep detection and sensitive response to resistivity anomalies. It is widely used in underground mineral resources exploration, fluid identification in petroleum reservoirs, hydraulic fracturing, and dynamic residual oil and gas monitoring. After the primary field signal is turned off, grounded electrodes or coils are used to observe the secondary eddy field. The secondary field signal decays quickly and has a large dynamic range and a wide frequency band but is easily affected by various natural and human electromagnetic interferences. Therefore, noise reduction and distortion correction are important issues in the processing of transient electromagnetic data. This paper proposes a systematic noise interference suppression process. Multi-period and positive–negative bipolar signal stackings were used to remove random noise and suppress DC offset signals. Then, a time-domain inverse digital recursive method was applied to remove characteristic frequency signals, e.g., power frequency signals and their harmonic interference. A standard noise-free signal was constructed through forward modeling simulation and verified by adding different types of noise. Finally, high-quality transient electromagnetic secondary field attenuation signals were obtained through overlapping windowing technology. We applied this algorithm to obtain electromagnetic data from dynamic monitoring of hydraulic fracturing in Fuling shale gas and from a copper–iron metal mine in Daye City, demonstrating its effectiveness.https://www.mdpi.com/2075-163X/13/8/1084long-offset transient electromagnetic methodsignal stackinginverse filteringoverlapped windowing
spellingShingle Yang Xu
Xingbing Xie
Lei Zhou
Biao Xi
Liangjun Yan
Noise Characteristics and Denoising Methods of Long-Offset Transient Electromagnetic Method
Minerals
long-offset transient electromagnetic method
signal stacking
inverse filtering
overlapped windowing
title Noise Characteristics and Denoising Methods of Long-Offset Transient Electromagnetic Method
title_full Noise Characteristics and Denoising Methods of Long-Offset Transient Electromagnetic Method
title_fullStr Noise Characteristics and Denoising Methods of Long-Offset Transient Electromagnetic Method
title_full_unstemmed Noise Characteristics and Denoising Methods of Long-Offset Transient Electromagnetic Method
title_short Noise Characteristics and Denoising Methods of Long-Offset Transient Electromagnetic Method
title_sort noise characteristics and denoising methods of long offset transient electromagnetic method
topic long-offset transient electromagnetic method
signal stacking
inverse filtering
overlapped windowing
url https://www.mdpi.com/2075-163X/13/8/1084
work_keys_str_mv AT yangxu noisecharacteristicsanddenoisingmethodsoflongoffsettransientelectromagneticmethod
AT xingbingxie noisecharacteristicsanddenoisingmethodsoflongoffsettransientelectromagneticmethod
AT leizhou noisecharacteristicsanddenoisingmethodsoflongoffsettransientelectromagneticmethod
AT biaoxi noisecharacteristicsanddenoisingmethodsoflongoffsettransientelectromagneticmethod
AT liangjunyan noisecharacteristicsanddenoisingmethodsoflongoffsettransientelectromagneticmethod