Drilling a hole serves as an in-situ test for assessing geomaterial strength. Digital methods like Measurement While Drilling (MWD) and Drilling Process Monitoring (DPM) have been utilized to record drilling data for ground characterization, offering advantages in data acquisition and cost-effectiveness compared to conventional methods. However, challenges lie in addressing random variations in MWD penetration rates, leading to undesirable correlations with other investigation results. This study aims to address the research gap by analyzing digital drilling data from various projects using a time-series algorithm associated with DPM. The study includes MWD depth-series data from advanced drillholes and blastholes for safe tunnelling, instrumented boreholes for site investigation, and DPM time-series data from scientific drillholes for oil shale exploration. The reliable and accurate interpretation of digital drilling data with time-series algorithm can help MWD method become common and standard method for ground characterization in the geotechnical engineering and petroleum engineering.
Ms Siyuan Wu is a PhD candidate at the Department of Civil Engineering, The University of Hong Kong under the supervision of Professor Zhongqi Quentin Yue. She obtained her master’s degree in Geological Engineering from The University of Chinese Academy of Sciences in 2021. So far, she has published many research papers in top geotechnical engineering journals such as Géotechnique, Tunnelling and Underground Space Technology, Journal of Rock Mechanics and Geotechnical Engineering, Underground Space. Her research interest includes Measurement While Drilling (MWD) technique, Drilling Process Monitoring (DPM) technique, Site investigation, and Ground characterization.
Clean water and clean air are vital for public health. This project focuses on developing high-efficiency and environmentally sustainable filters for removing harmful air/water pollutants. The team has developed novel architectures and functionalities for the filters to achieve high permeance, high removal efficiency, and excellent reusability.
