A review of unloading-induced fault instability

Induced seismicity associated with underground space creation and resource extraction has become a matter of global concern. However, our ability to predict and mitigate anthropogenic geohazards is still woefully inadequate. This review provides an overview of unloading-induced seismicity and highli...

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Main Author: Wei Wu
Format: Article
Language:English
Published: Elsevier 2021-10-01
Series:Underground Space
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2467967420301094
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spelling doaj-610206a9b8bf4aafbaf422ff1667bcee2021-09-15T04:23:00ZengElsevierUnderground Space2467-96742021-10-0165528538A review of unloading-induced fault instabilityWei Wu0School of Civil and Environmental Engineering, Nanyang Technological University, SingaporeInduced seismicity associated with underground space creation and resource extraction has become a matter of global concern. However, our ability to predict and mitigate anthropogenic geohazards is still woefully inadequate. This review provides an overview of unloading-induced seismicity and highlights the mechanisms behind fault instability from a view of rock mechanics. Based on numerous fault instability cases, reduction and rotation of in situ stresses on pre-existing faults are possible causes of excavation-induced seismicity. Fault instability during resource extraction is related to many geological and operational factors, including mining depth, pore pressure, stress distribution, and production rate. Most of these cases can be explained by the Mohr–Coulomb failure criterion, and some exceptional cases could offer us new clues to improve the understanding of the mechanisms behind and the ability to predict and mitigate the induced seismic events. The current challenges include how to control remote triggering of fault instability and how to manage unseen threat of undetected faults. Emerging technologies, such as data analytics and machine learning, combining with physical models could be the next frontier for fault instability research.http://www.sciencedirect.com/science/article/pii/S2467967420301094Fault instabilityUnderground excavationEnergy extractionInduced seismicity
collection DOAJ
language English
format Article
sources DOAJ
author Wei Wu
spellingShingle Wei Wu
A review of unloading-induced fault instability
Underground Space
Fault instability
Underground excavation
Energy extraction
Induced seismicity
author_facet Wei Wu
author_sort Wei Wu
title A review of unloading-induced fault instability
title_short A review of unloading-induced fault instability
title_full A review of unloading-induced fault instability
title_fullStr A review of unloading-induced fault instability
title_full_unstemmed A review of unloading-induced fault instability
title_sort review of unloading-induced fault instability
publisher Elsevier
series Underground Space
issn 2467-9674
publishDate 2021-10-01
description Induced seismicity associated with underground space creation and resource extraction has become a matter of global concern. However, our ability to predict and mitigate anthropogenic geohazards is still woefully inadequate. This review provides an overview of unloading-induced seismicity and highlights the mechanisms behind fault instability from a view of rock mechanics. Based on numerous fault instability cases, reduction and rotation of in situ stresses on pre-existing faults are possible causes of excavation-induced seismicity. Fault instability during resource extraction is related to many geological and operational factors, including mining depth, pore pressure, stress distribution, and production rate. Most of these cases can be explained by the Mohr–Coulomb failure criterion, and some exceptional cases could offer us new clues to improve the understanding of the mechanisms behind and the ability to predict and mitigate the induced seismic events. The current challenges include how to control remote triggering of fault instability and how to manage unseen threat of undetected faults. Emerging technologies, such as data analytics and machine learning, combining with physical models could be the next frontier for fault instability research.
topic Fault instability
Underground excavation
Energy extraction
Induced seismicity
url http://www.sciencedirect.com/science/article/pii/S2467967420301094
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