A Geodyssey – Geoscience Text Analytics and Enterprise Search Research
A voluntary non-commercial research blog since 2015
My feature article published today in GEOSCIENTIST adds to the growing discussion on the role of Large Language Models (LLMs) in the geosciences.AI is not an isolated technology; it is embedded in broader scientific, technical, and institutional systems. Developing AI literacy in geoscience therefore requires (i) solid foundational geological understanding, (ii) technological and data-science competence to grasp... Continue Reading →
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 →
Academics from Robert Gordon University (RGU) have played critical roles in the production of a new report on Artificial Intelligence in the Geosciences.Thursday 6th November 2025: Press Release from Robert Gordon University:"Entitled ‘Artificial Intelligence (AI) Ethics Recommendations for the Geoscience Community’, the report presents recommendations for the ethical application of Artificial Intelligence (AI) within the geosciences.The... Continue Reading →
Pleased to announce our AI Ethics Recommendations for the Geoscience Community are published! The Task Group was formed in Nov 2024 by the Commission on Geoethics of the International Union of Geological Sciences (IUGS).A big thank you to the excellent team that made this happen: Mrinalini Kochupillai , Mark Lindsay , Emma Ruttkamp-Bloem , Geoethics... Continue Reading →
Interesting paper exploring how knowledge-graphs can be integrated with Large Language Models (LLM) and Vision Language Models (VLMs) to improve object identification and segmentation in remote sensing applications Dawson and Lewin (2025).This image (Fig 3) shown is output from ChatGPT 4.5 to identify and analyse geomorphic features. 3a Image is of the River Teme, UK... Continue Reading →
GEOAssist V2.0: Opensource Geological AI App. Extract geoscience entities from your PDFs and create Geoscience Knowledge Graphs (GeoKG). Surface insights, find patterns, validate structure and support discovery. I've added an extra feature this weekend allowing automatic extraction of geoscience data and associations from your PDFs using Large Language Models (LLM).You can run GEOAssist locally on a... Continue Reading →
Iniital 19th August 2025 Post: I created an Open-source Geological AI App yesterday that lists reference literature and visualises plate reconstructions if relevant to the question. It was just to illustrate how we can use Large Language Models (LLM) to enable natural language querying of multiple sources, both unstructured and structured, to help us gather... Continue Reading →
Teaching Rocks to Speak: The Promise of Large Geologic Models and Generative AI. If you are attending the IMAGE conference this month you may wish to pop over to see Andrew Davidoff’s presentation.In my opinion it’s a non-technical high level thought provoking piece on subsurface Multi-modal Large Language Models (MLLM) from the perspective of someone... 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 →
A Geodyssey - Geoscience Text Analytics and Enterprise Search Research 