Young Scholar TechTalk – Ground Characterization from Digital Drilling Data with Time Series Algorithm
July 30 2024 (Tuesday) 4:30-5:30pm
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.