Harnessing machine learning for seismic event discrimination in deep underground mining: a case study from Western Australia

QR Code

Harnessing machine learning for seismic event discrimination in deep underground mining: a case study from Western Australia

This paper presents a comprehensive study on applying machine learning (ML) techniques to discriminate seismic events in deep underground mining from blast and noise records using data collected from the Vivien gold mine in Western Australia. The dataset/catalogue comprises parameters derived from s...

Full description

Bibliographic Details
Main Authors:	Shirani Faradonbeh, Roohollah, Shakeri, Jamshid, Ghaderi, Zaniar, Mikula, Peter, Jang, Hyongdoo, Taheri, Abbas
Format:	Conference Paper
Published:	2024
Online Access:	http://hdl.handle.net/20.500.11937/95909

Similar Items

Practical Models To Distinguish Between Seismic Events And Blast Signals
by: Shirani Faradonbeh, Roohollah, et al.
Published: (2023)

Application of artificial intelligence in distinguishing genuine microseismic events from the noise signals in underground mines
by: Shirani Faradonbeh, Roohollah, et al.
Published: (2024)

Intelligent Approaches for Predicting the Intact Rock Mechanical Parameters and Crack Stress Thresholds
by: Shakeri, Jamshid, et al.
Published: (2024)

Predicting overbreak and underbreak in underground longhole stoping using meta-soft computing models
by: Taheri, Sina, et al.
Published: (2025)

Failure response of rocks under different cyclic loading histories
by: Taheri, Abbas, et al.
Published: (2023)

Development of Novel Hybrid Intelligent Predictive Models for Dilution Prediction in Underground Sub-level Mining
by: Chimunhu, Prosper, et al.
Published: (2024)

Micro-seismic event detection and location in underground mines by using Convolutional Neural Networks (CNN) and deep learning
by: Huang, L., et al.
Published: (2018)

The future of underground mine planning in the era of machine learning: Opportunities for engineering robustness and flexibility
by: Chimunhu, Prosper, et al.
Published: (2024)

The role of geological features in mine seismicity: Kanowna Belle case study
by: Moreira de Oliveira, Afranio L, et al.
Published: (2024)

Dilution prediction in underground open stope mining using gene expression programming and backpropagation artificial neural network algorithms
by: Chimunhu, Prosper, et al.
Published: (2025)

Exploring digital twin systems in mining operations: A review. Green and Smart Mining Engineering
by: Nobahar, Pouya, et al.
Published: (2024)

An investigation of underground monitoring and communication system based on radio waves attenuation using ZigBee
by: Moridi, Mohammad, et al.
Published: (2014)

Monitoring blasting events in an underground mine with artificial intelligence techniques
by: Huang, L., et al.
Published: (2017)

Partially decoupling and collar bonding of the encapsulated rebar rockbolts to improve their performance in seismic prone deep underground excavations
by: Masoudi, Reza, et al.
Published: (2018)

Development of wireless sensor networks for underground communication and monitoring systems (the cases of underground mine environments)
by: Moridi, M., et al.
Published: (2018)

An underground air-route temperature prediction model for ultra-deep coal mines
by: Zhu, S., et al.
Published: (2015)

Source identification of microseismic events in underground mines with interferometric imaging and cross wavelet transform
by: Huang, L., et al.
Published: (2018)

Illumination of parameter contributions on uneven break phenomenon in underground stoping mines
by: Jang, Hyong Doo, et al.
Published: (2016)

Unplanned dilution and ore-loss optimisation in underground mines via cooperative neuro-fuzzy network
by: Jang, Hyong Doo
Published: (2014)

Internal Friction Angle of Cohesionless Binary Mixture Sand–Granular Rubber Using Experimental Study and Machine Learning
by: Daghistani, Firas, et al.
Published: (2023)

Advanced AI-Powered Solutions for Predicting Blast-Induced Flyrock, Backbreak, and Rock Fragmentation
by: Nobahar, Pouya, et al.
Published: (2024)

Underground Blasting Optimization by Artificial Intelligence Techniques
by: Jang, Hyong Doo, et al.
Published: (2013)

Ground Support and Reinforcement Design in Deep Underground Excavation Based on Ground Condition with Emphasis on Mining
by: Rahimi, Behrooz
Published: (2019)

Optimizing overbreak prediction based on geological parameters comparing multiple regression analysis and artificial neural network
by: Jang, Hyongdoo, et al.
Published: (2013)

Development of Underground Mine Communication and Monitoring System by Using ZigBee Technology
by: Kawamura, Youhei, et al.
Published: (2014)

Numerical research on seismic response characteristics of shallow buried rectangular underground structure
by: Xu, Z., et al.
Published: (2019)

Modeling the Effects of Particle Shape on Damping Ratio of Dry Sand by Simple Shear Testing and Artificial Intelligence
by: Baghbani, Abolfazl, et al.
Published: (2023)

CFD Characterization and Field Test Study on Plugging Air Leakage with Time-Varying Viscosity Solidified Foam to Prevent Coal Spontaneous Combustion
by: Xue, Di, et al.
Published: (2024)

Sacred Kingfisher and Trough Filled with Water Pumped from Deep Underground
by: Kinsella, John
Published: (2010)

Using Artificial Neural Networks (ANNs) to Predict Stope Overbreak at Plutonic Underground Gold Mine
by: Boxwell, D., et al.
Published: (2014)

Safety evaluation of an underground excavation for crusher operation
by: Yang, H.S., et al.
Published: (2011)

Underground mining and water management
by: Moran, Chris, et al.
Published: (2011)

A Case Study of Prediction and Analysis of Unplanned Dilution in an Underground Stoping Mine using Artificial Neural Network
by: Jang, Hyong Doo, et al.
Published: (2014)

Ultrasonic Characterization of Compacted Salty Kaolin–Sand Mixtures Under Nearly Zero Vertical Stress Using Experimental Study and Machine Learning
by: Baghbani, Abolfazl, et al.
Published: (2023)

Assessing the shear strength of sandy soil reinforced with polyethylene-terephthalate: an AI-based approach
by: Samaei, Masoud, et al.
Published: (2024)

Linking between Multi-scale Behaviours of Brittle Rocks at Deep Underground Excavation
by: Tao, Ran
Published: (2022)

Challenges in multi-scale hard rock behaviour evaluation at deep underground excavations
by: Sharifzadeh M, Z., et al.
Published: (2017)

Assessment of failure mechanisms in deep longwall faces based on mining-induced seismicity
by: Mahdevari, S., et al.
Published: (2016)

Development of underground mine monitoring and communication system integrated ZigBee and GIS
by: Moridi, M., et al.
Published: (2014)

Focus Energy Determination of Mining Microseisms Using Residual Seismic Wave Attenuation in Deep Coal Mining
by: Zhang, M., et al.
Published: (2018)