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PreLogging: A Pioneering Web-based AI Application for Enhanced Geotechnical Engineering

Thu, 12 Sept

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by Prof. Louis Wong (Associate Head, Department of Earth Sciences, The University of Hong Kong)

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PreLogging: A Pioneering Web-based AI Application for Enhanced Geotechnical Engineering
PreLogging: A Pioneering Web-based AI Application for Enhanced Geotechnical Engineering

Time & Location

12 Sept 2024, 6:30 pm – 7:30 pm HKT

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About the event

Synopsis

Uncover the potential of PreLogging, a web-based AI application tailored for geotechnical engineering practitioners. This innovative tool, with a recently launched trial version, is designed to classify common rocks and decomposition grades in Hong Kong, detect fractures, and compute essential fracture state indices, such as Total Core Recovery (TCR), Solid Core Recovery (SCR), Rock Quality Designation (RQD), and Fracture Index (FI). PreLogging utilizes advanced computer vision-based deep learning technology, enhancing accuracy, objectivity, and efficiency in the corebox logging processes, which are integral to geotechnical engineering. The development of PreLogging was a collaborative effort between a multidisciplinary team of researchers, engineers, and industry stakeholders, aiming to create a valuable tool for the geotechnical engineering community. The first part of the presentation will discuss the logic and methodology behind PreLogging. The second part will highlight its capabilities through a selection of real-life corebox application examples.


About the Speaker

Prof. Wong serves…


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