A Geodyssey – Geoscience Text Analytics and Enterprise Search Research
A voluntary non-commercial research blog since 2015
Project Innerspace: Africa as a showcase of geothermal prospecting.GeoMap™ Beta was launched a couple of years ago at the 28th Conference of the Parties to the UN Framework Convention on Climate Change (“COP28“) Climate Innovation Forum in Dubai, UAE.“A fundamental driver behind GeoMap™ is to showcase underestimated and untapped geothermal potential, especially in regions where... 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 →
Opensource GEOAssist v3.0 Released! Harness the power of natural language with LLM-driven map creation, utilizing 1.6 million mineral and rock localities from Mindat, the world's largest minerals database.New functionality added this weekend. The example natural language query shown in GEOAssist is “Show copper, gold, antimony indium, niobium, beryllium, tantalum and tungsten in Peru”. The LLM used... 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 →
Free webinar AI, Drones and Satellites for Geoscientists: Sponsored by AIPG, Geological Society of South Africa, Zimbabwe & West African Institute of Mining, Metallurgy and Petroleum.I will be joining renowned experts in their fields on September 24th for an educational webinar to talk about how AI is transforming the geological sciences.Glen Nwaila David HodgettsNatalie Brand... Continue Reading →
Google AlphaEarth Foundation models released in the Satellite Embedding Dataset in Google Earth Engine.“AlphaEarth Foundations is an artificial intelligence (AI) model that functions like a virtual satellite. It accurately and efficiently characterizes the planet’s entire terrestrial land and coastal waters by integrating huge amounts of Earth observation data into a unified digital representation, or "embedding,"... 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 →
A Geodyssey - Geoscience Text Analytics and Enterprise Search Research 