Prospects of applying MWD technology for quality management of drilling and blasting operations at mining enterprises

V Isheyskiy, JA Sanchidrián - Minerals, 2020 - mdpi.com
This paper presents a review of measurement while drilling (MWD) technology as applied to
the mining industry, describes its development path, provides a global review of literature on …

[HTML][HTML] Changes in the thermodynamic properties of alkaline granite after cyclic quenching following high temperature action

J Hu, H Xie, Q Sun, C Li, G Liu - … Journal of Mining Science and Technology, 2021 - Elsevier
During the development of hot dry rock, the research on thermal fatigue damage caused by
thermal shock of cold and heat cycles is the basis that ensures the long-term utilization of …

[HTML][HTML] Rock mass structural recognition from drill monitoring technology in underground mining using discontinuity index and machine learning techniques

A Fernández, JA Sanchidrián, P Segarra… - International Journal of …, 2023 - Elsevier
A procedure to recognize individual discontinuities in rock mass from measurement while
drilling (MWD) technology is developed, using the binary pattern of structural rock …

[HTML][HTML] Inverting the rock mass P-wave velocity field ahead of deep buried tunnel face while borehole drilling

L Liu, S Li, M Zheng, D Wang, M Chen, J Zhou… - International Journal of …, 2024 - Elsevier
Imaging the wave velocity field surrounding a borehole while drilling is a promising and
urgently needed approach for extending the exploration range of the borehole point. This …

Novel hybrid machine learning optimizer algorithms to prediction of fracture density by petrophysical data

M Rajabi, S Beheshtian, S Davoodi, H Ghorbani… - Journal of Petroleum …, 2021 - Springer
One of the challenges in reservoir management is determining the fracture density (FVDC)
in reservoir rock. Given the high cost of coring operations and image logs, the ability to …

A Review of Orebody Knowledge Enhancement Using Machine Learning on Open-Pit Mine Measure-While-Drilling Data

DM Goldstein, C Aldrich, L O'Connor - Machine Learning and Knowledge …, 2024 - mdpi.com
Measure while drilling (MWD) refers to the acquisition of real-time data associated with the
drilling process, including information related to the geological characteristics encountered …

Deep learning for intelligent prediction of rock strength by adopting measurement while drilling data

R Zhao, S Shi, S Li, W Guo, T Zhang, X Li… - International Journal of …, 2023 - ascelibrary.org
Precise, rapid, and reliable prediction of rock strength parameters is of great significance for
underground engineering. This paper presents a method for predicting rock strength …

[HTML][HTML] Integrating geometallurgical ball mill throughput predictions into short-term stochastic production scheduling in mining complexes

C Both, R Dimitrakopoulos - International Journal of Mining Science and …, 2023 - Elsevier
This article presents a novel approach to integrate a throughput prediction model for the ball
mill into short-term stochastic production scheduling in mining complexes. The datasets for …

Normalizing Large Scale Sensor-Based MWD Data: An Automated Method toward A Unified Database

A Abbaszadeh Shahri, C Shan, S Larsson… - Sensors, 2024 - mdpi.com
In the context of geo-infrastructures and specifically tunneling projects, analyzing the large-
scale sensor-based measurement-while-drilling (MWD) data plays a pivotal role in …

A new monitoring-while-drilling method of large diameter drilling in underground coal mine and their application

W Zhang, C Li, J Jin, X Qu, S Fan - Measurement, 2021 - Elsevier
Abstract Large Diameter Drilling (LDD) is a widely-used pressure relief method in
underground coal mine, but LDD is now only used as a measure to reduce the occurrence …