Applied Science

Created by Katie Silversides, Senior Geo-data Scientist TL;DR: Measure while drilling data can be used to extract coal seam depths without adding additional sensors. A 1D convolutional neural network (CNN) was…

“I thought this model was supposed to work really well. Why has it started spitting out things that don’t make sense?” Machine learning models can bring huge benefits in exploration…

Created by Pouya Emami and Eleanor Mare If you’ve ever been involved with data science projects, you’ll know that they rarely go exactly as planned. As the team at Datarock…

Created by Tom Schaap. This blog post is a summarisation of Schaap et al., 2024. Computer vision tools for geophysicists. Presented at the 1st ASEG DISCOVER Symposium 2024: 15 -18…

Created by Katie Silversides This blog is adapted from: Katie Silversides, Jack Maughan and Mark Pawley 2024, Mapping geology using textural feature extraction and unsupervised community detection models on airborne…

Created by Yasin Dagasan, Harvey Nguyen and Mark Grujic This blog is a republication of an accepted abstract published in the Australian Exploration Geoscience Conference (AEGC) 2021 conference proceedings. Summary…

Created by Thomas Ostersen Hyperspectral data sets measure the intensity of reflected or emitted light across a wide range of the electromagnetic spectrum. In geoscientific applications, these data sets tend…

Created by Mahsa Paknezhad and Jack Maughan In remote sensing-related geological modelling projects, a common challenge arises when geological signatures are affected by human-made infrastructure artefacts such as roads, dams,…

Created  by Mark Grujic. Today, we are relaunching our web application to study Mineral Identification and Compositional Analysis (MICA). Originally launched in 2020 as a submission to an app development…