[HTML][HTML] Ore/waste identification in underground mining through geochemical calibration of drilling data using machine learning techniques
Chemical X-ray fluorescence (XRF) analyses of drill cuttings and measurement-while-
drilling (MWD) records were jointly collected in two production levels with different …
drilling (MWD) records were jointly collected in two production levels with different …
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 …
scale sensor-based measurement-while-drilling (MWD) data plays a pivotal role in …
A comparative study on machine learning approaches for rock mass classification using drilling data
Current rock engineering design in drill and blast tunnelling primarily relies on engineers'
observational assessments. Measure While Drilling (MWD) data, a high-resolution sensor …
observational assessments. Measure While Drilling (MWD) data, a high-resolution sensor …
Toward machine learning based decision support for pre‐grouting in hard rock
I Rongved, TF Hansen, GH Erharter - Civil Engineering Design, 2024 - Wiley Online Library
Pre‐grouting in hard rock tunneling is crucial for mitigating water ingress, significantly
affecting project time and cost. Predicting pre‐grouting requirements is challenging and …
affecting project time and cost. Predicting pre‐grouting requirements is challenging and …
Sensitivity investigation of drilling efficiency to operational parameters of a drifter
Q Shen, Y Wang, R Cao, Y Zhao… - Proceedings of the …, 2024 - icevirtuallibrary.com
Drilling operations are extensively used for underground excavation, and their efficiency has
a direct impact on project duration and expense. Adjusting the operational parameters …
a direct impact on project duration and expense. Adjusting the operational parameters …
Digitally Empowered Geo-Engineering Toolbox: From AI-Driven Lab Data Interpretation, BIM Ground Modelling to Parametric Design
GH Erharter - International Conference on Inforatmion Technology in …, 2024 - Springer
For over 30 years, digital advancements have transformed the world, and geoengineering is
no exception. From readily available aerial data to machine learning-powered soil analysis …
no exception. From readily available aerial data to machine learning-powered soil analysis …