Semi-automating and assisting geological logging using an unsupervised clustering approach

Fouad Faraj

Although the manual core logging process is time-consuming and costly, it is required because defining geologically homogenous volumes is crucial for the planning, extraction, and processing of natural resources. To semi-automate and assist the logging process, an unsupervised classification workflow is presented which allows the practitioner to input their domain knowledge by selecting relevant variables to cluster reasonable geological domains.


Biography to come

About the GSA

The Geological Society of Australia was established as a non-profit organisation in 1952 to promote, advance and support Earth sciences in Australia.

As a broadly based professional society that aims to represent all Earth Science disciplines, the GSA attracts a wide diversity of members working in a similarly broad range of industries.