A Geodyssey – Geoscience Text Analytics and Enterprise Search Research
A voluntary non-commercial research blog since 2015
Using machine learning to cut the time for Biostratigraphical analysis from 3 weeks to 3 days. Very interesting presentation from David Wade at Equinor at the excellently organised GESGB (Geoscience Energy Society of Great Britain) conference on machine learning yesterday.The presentation discussed machine vision techniques to scan slides prepared from borehole cuttings/cores and apply ML... Continue Reading →
Identifying seismic reflection terminations using deep learning. Interesting paper from AlGharbi et al (2025) automating seismic interpretation predicting seismic terminations.AbstractSeismic stratigraphy entails a regional scanning (reconnaissance) of seismic data to identify and annotate seismic reflection terminations. To identify these terminations in modern 3D seismic datasets, interpreters have to examine thousands of inlines and crosslines, which... Continue Reading →
Synthetic Geology - Structural Geology Meets Deep Learning. Intriguing paper from Ghyselincks et al (2025). Subsurface deep learning by a synthetic data-generator process that mimics geological activity such as sediment compaction, volcanic intrusion, and tectonic. The authors then built a foundation model trained on this synthetic data to generate a 3D image of the subsurface... Continue Reading →
Interesting paper generating microscopic images of rocks using generative artificial intelligence (GenAI) published this week by Młynarczuk and Habrat (2025).“The generation of synthetic images can be an important element in supporting the augmentation and analysis of multimedia data. It has applications in many scientific fields. Also, in geological and mining sciences.This study presents generative artificial... Continue Reading →
Open-source: Automatic description of rock thin sections: A web application. Delighted to share Stalyn Paucar and colleagues work from Ecuador (Universidad Central del Ecuador) published this week.AbstractThe identification and characterization of rock types is a core activity in geology and related fields, including mining, petroleum, environmental science, industry, and construction. Traditionally, this task is performed... Continue Reading →
I tested if we might differentiate rock types and their associations based on the patterns of words that occur around them in large archives of geological reports. Using a text embeddings model generated through the unsupervised machine learning from thousands of geological survey reports, approximately 2,000 rock type names were compared to each other. The... Continue Reading →
Ahead of Earth Science week I've openly released a free machine vision model which automatically classifies geological images from documents. Those that have large archives of geoscience documentation may find this helpful to discover, and potentially repurpose, old geological data for new knowledge.Schools and researchers may also find the model helpful to spark their own... Continue Reading →
A Geodyssey - Geoscience Text Analytics and Enterprise Search Research 