Unveiling the signals from extremely noisy microseismic data for high-resolution hydraulic fracturing monitoring

Unveiling the signals from extremely noisy microseismic data for high-resolution hydraulic fracturing monitoring

Abstract Microseismic method is an essential technique for monitoring the dynamic status of hydraulic fracturing during the development of unconventional reservoirs. However, one of the challenges in microseismic monitoring is that those seismic signals generated from micro seismicity have extremely...

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Autores principales: Weilin Huang, Runqiu Wang, Huijian Li, Yangkang Chen
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2017
Materias:
Medicine
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Science
Q
Acceso en línea:https://doaj.org/article/b65fc7f2f0dc43f4bc795db912173421
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spelling oai:doaj.org-article:b65fc7f2f0dc43f4bc795db9121734212021-12-02T11:40:58ZUnveiling the signals from extremely noisy microseismic data for high-resolution hydraulic fracturing monitoring10.1038/s41598-017-09711-22045-2322https://doaj.org/article/b65fc7f2f0dc43f4bc795db9121734212017-09-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-09711-2https://doaj.org/toc/2045-2322Abstract Microseismic method is an essential technique for monitoring the dynamic status of hydraulic fracturing during the development of unconventional reservoirs. However, one of the challenges in microseismic monitoring is that those seismic signals generated from micro seismicity have extremely low amplitude. We develop a methodology to unveil the signals that are smeared in the strong ambient noise and thus facilitate a more accurate arrival-time picking that will ultimately improve the localization accuracy. In the proposed technique, we decompose the recorded data into several morphological multi-scale components. In order to unveil weak signal, we propose an orthogonalization operator which acts as a time-varying weighting in the morphological reconstruction. The orthogonalization operator is obtained using an inversion process. This orthogonalized morphological reconstruction can be interpreted as a projection of the higher-dimensional vector. We first test the proposed technique using a synthetic dataset. Then the proposed technique is applied to a field dataset recorded in a project in China, in which the signals induced from hydraulic fracturing are recorded by twelve three-component (3-C) geophones in a monitoring well. The result demonstrates that the orthogonalized morphological reconstruction can make the extremely weak microseismic signals detectable.Weilin HuangRunqiu WangHuijian LiYangkang ChenNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-16 (2017)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Weilin Huang
Runqiu Wang
Huijian Li
Yangkang Chen
Unveiling the signals from extremely noisy microseismic data for high-resolution hydraulic fracturing monitoring
description Abstract Microseismic method is an essential technique for monitoring the dynamic status of hydraulic fracturing during the development of unconventional reservoirs. However, one of the challenges in microseismic monitoring is that those seismic signals generated from micro seismicity have extremely low amplitude. We develop a methodology to unveil the signals that are smeared in the strong ambient noise and thus facilitate a more accurate arrival-time picking that will ultimately improve the localization accuracy. In the proposed technique, we decompose the recorded data into several morphological multi-scale components. In order to unveil weak signal, we propose an orthogonalization operator which acts as a time-varying weighting in the morphological reconstruction. The orthogonalization operator is obtained using an inversion process. This orthogonalized morphological reconstruction can be interpreted as a projection of the higher-dimensional vector. We first test the proposed technique using a synthetic dataset. Then the proposed technique is applied to a field dataset recorded in a project in China, in which the signals induced from hydraulic fracturing are recorded by twelve three-component (3-C) geophones in a monitoring well. The result demonstrates that the orthogonalized morphological reconstruction can make the extremely weak microseismic signals detectable.
format article
author Weilin Huang
Runqiu Wang
Huijian Li
Yangkang Chen
author_facet Weilin Huang
Runqiu Wang
Huijian Li
Yangkang Chen
author_sort Weilin Huang
title Unveiling the signals from extremely noisy microseismic data for high-resolution hydraulic fracturing monitoring
title_short Unveiling the signals from extremely noisy microseismic data for high-resolution hydraulic fracturing monitoring
title_full Unveiling the signals from extremely noisy microseismic data for high-resolution hydraulic fracturing monitoring
title_fullStr Unveiling the signals from extremely noisy microseismic data for high-resolution hydraulic fracturing monitoring
title_full_unstemmed Unveiling the signals from extremely noisy microseismic data for high-resolution hydraulic fracturing monitoring
title_sort unveiling the signals from extremely noisy microseismic data for high-resolution hydraulic fracturing monitoring
publisher Nature Portfolio
publishDate 2017
url https://doaj.org/article/b65fc7f2f0dc43f4bc795db912173421
work_keys_str_mv AT weilinhuang unveilingthesignalsfromextremelynoisymicroseismicdataforhighresolutionhydraulicfracturingmonitoring
AT runqiuwang unveilingthesignalsfromextremelynoisymicroseismicdataforhighresolutionhydraulicfracturingmonitoring
AT huijianli unveilingthesignalsfromextremelynoisymicroseismicdataforhighresolutionhydraulicfracturingmonitoring
AT yangkangchen unveilingthesignalsfromextremelynoisymicroseismicdataforhighresolutionhydraulicfracturingmonitoring
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