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Keynote Lecture: DPM Depth-time Algorithm for Elim ...
Keynote Lecture: DPM Depth-time Algorithm for Eliminating the Random Variations in MWD Penetration Rate
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On-Demand
Cost
$0.00
Credit Offered
No Credit Offered
Description
Abstract
: Drilling a hole can serve as an in-situ or laboratory 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 site investigation and oil shale exploration. The reliable and accurate interpretation of digital drilling data with DPM algorithm can help MWD method become common and standard method for ground characterization in the geotechnical engineering and petroleum engineering.
Authors
Dr. Wendal Yue; Dr. Siyuan Wu
Course Type
International Conference Proceedings
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Keynote Lecture: DPM Depth-time Algorithm for Eliminating the Random Variations in MWD Penetration Rate Course List
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