Seismicity in post-mining districts

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Table of contents

PART I GENERAL INTRODUCTION: POST-MINING SEISMICITY AND GARDANNE MINE CASE STUDY 
Introduction
1 State of the art regarding seismicity in post-mining conditions
1.1 Post mining hazards: ground failures and surface consequences
1.2 The role and challenges of microseismic monitoring in post-mining period
1.3 Seismicity in post-mining districts
2 Case study: Gardanne mine
2.1 A brief history of the mine and general context
2.2 Mining disorders, rockbursts, induced and natural seismicity
2.3 Groundwater management during mining period
2.4 Post-mining period
2.5 Post mining seismicity – the seismic swarm of Fuveau in Regagnas sector
2.6 Discussion on the origin on seismicity and seismic hazard
3 Thesis motivation and objectives
3.1 Motivation
3.2 Methodology and objectives
PART II IMPROVEMENT IN DETECTION AND LOCATION OF MICROSEISMICITY WITH A SPARSE NETWORK
Introduction
4 State of the art regarding detection and location of seismic events
4.1 Advantages of full-waveform and array coherency-based methods
4.2 Waveform-based detection and location methods: common basic principles
4.3 BackTrackBB (BTBB) method overview
5 New development for detection and location of events of sparse networks in the case of Gardanne
5.1 Testing BTBB parametrization and limitations
5.2 Step 1: Detection and first noise removal criteria using STA/LTA approach
5.3 Step 2: Location and second noise removal criteria using the amplitude-based approach
5.4 BTBB location
5.5 Local magnitude determination
5.6 Event classification and location quality assessment
6 Results – new catalogue of 2014-2017
6.1 Application of the new processing scheme to the 2014-2017 dataset
6.2 Classification scheme
6.3 𝒃−value estimation and magnitude of completeness
7 Conclusion
PART III CLUSTER AND MULTIPLET ANALYSIS
Introduction
8 State of the art regarding clustering and multiplets
8.1 Clustering and underlying physical phenomena and mechanisms
8.2 Multiplets and repeaters
8.3 Repeat/Recurrence time
9 Spatial cluster analysis
9.1 K-means clustering method
9.2 Clustering of events of new catalogue 2014-2017
10 Multiplets and cluster activity 2010-2017
10.1 Cross-correlation technique
10.2 Identification of multiplet families using Fuveau station
10.3 The spatial resolution of multiplet analysis
10.4 Spatio-temporal distribution of multiplet families
10.5 Main multiplet families in the Fuveau swarm (study area)
10.6 Reconstruction of cluster activity before 2014
11 Detailed multiplet analysis 2014-2017
11.1 Multiplet families in new catalogue 2014-2017
11.2 Spatio temporal distribution of multiplets
12 Repeaters or multiplets?
12.1 Source parameters determination
12.2 First repeater identification method: seismic source overlap
12.3 Second repeater identification method: coherency analysis
13 Summary of main observations
PART IV SEISMICITY ORIGIN AND TRIGGERING MECHANISM
Introduction
14 Origin of seismicity
14.1 The repetitive long term seismic activity
14.2 Depth and source mechanism
14.3 Conclusion about source origin
15 Seismicity-hydrology connection
15.1 Influence of the rainfall on the seismicity triggering
15.2 Influence of the pumping on seismicity migration
15.3 Conclusion about the hydro-seismic connection
16 Mechanics behind triggering and clustering of earthquakes
16.1 Triggering mechanism of the seismic activity
16.2 The secondary, driving mechanism behind clustering and multiplet families’ sequences
16.3 Interpretations of mechanism for each cluster
16.4 Conclusion about triggering
GENERAL CONCLUSION AND PERSPECTIVES