[HTML][HTML] Machine learning in microseismic monitoring
The confluence of our ability to handle big data, significant increases in instrumentation
density and quality, and rapid advances in machine learning (ML) algorithms have placed …
density and quality, and rapid advances in machine learning (ML) algorithms have placed …
[HTML][HTML] Numerical modeling for rockbursts: A state-of-the-art review
As the depth of excavation increases, rockburst becomes one of the most serious geological
hazards damaging equipment and facilities and even causing fatalities in mining and civil …
hazards damaging equipment and facilities and even causing fatalities in mining and civil …
Microseismic location in hardrock metal mines by machine learning models based on hyperparameter optimization using bayesian optimizer
In recent years, with the gradual depletion of shallow mineral resources, the exploitation of
deep mineral resources has become an inevitable trend. Microseismic monitoring is one of …
deep mineral resources has become an inevitable trend. Microseismic monitoring is one of …
Novel hybrid MFO-XGBoost model for predicting the racking ratio of the rectangular tunnels subjected to seismic loading
This study proposes a novel hybrid MFO-XGBoost model that integrates the moth-flame
optimization (MFO) algorithm and the extreme gradient boosting (XGBoost) to predict the …
optimization (MFO) algorithm and the extreme gradient boosting (XGBoost) to predict the …
[HTML][HTML] Microseismic event waveform classification using CNN-based transfer learning models
The efficient processing of large amounts of data collected by the microseismic monitoring
system (MMS), especially the rapid identification of microseismic events in explosions and …
system (MMS), especially the rapid identification of microseismic events in explosions and …
Dynamic interaction of the pipe-soil subject to underground blasting excavation vibration in an urban soil-rock stratum
Abstract the When rock blasting excavation is carried out in urban soil strata, the vibration
effect caused by blasting will cause the dynamic interaction between pipe and soil. If the …
effect caused by blasting will cause the dynamic interaction between pipe and soil. If the …
Characterization of natural fracture development in coal reservoirs using logging machine learning inversion, well test data and simulated geostress analyses
Natural fractures directly affect the permeability and mechanical strength of reservoirs, and
their development degree has an important impact on the design and implementation of …
their development degree has an important impact on the design and implementation of …
Prediction of uniaxial compressive strength using fully Bayesian Gaussian process regression (fB-GPR) with model class selection
T Zhao, C Song, S Lu, L Xu - Rock Mechanics and Rock Engineering, 2022 - Springer
In rock, mining, and/or tunneling engineering, determination of uniaxial compressive
strength (UCS) of rocks is an important and crucial task, which is often estimated from readily …
strength (UCS) of rocks is an important and crucial task, which is often estimated from readily …
Experimental study on the radial vibration characteristics of a coal briquette in each stage of its life cycle under the action of CO2 gas explosion
K Wang, H Pan, T Zhang, H Wang - Fuel, 2022 - Elsevier
CO 2 gas explosion is an important technology for coal seam permeability enhancement
and fracturing, but the stage division of its life cycle is unclear, and research on the use of …
and fracturing, but the stage division of its life cycle is unclear, and research on the use of …
Rock burst monitoring and early warning under uncertainty based on multi-information fusion approach
J Wang, E Wang, W Yang, B Li, Z Li, X Liu - Measurement, 2022 - Elsevier
Rock burst monitoring and early warning is known as a challenging problem in underground
engineering. Existing research mainly focuses on forecast the rock burst using single …
engineering. Existing research mainly focuses on forecast the rock burst using single …