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 →
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 →
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 GIS LLM Copilot: towards an autonomous GIS agent for spatial analysis. Enabling non-experts to perform geospatial analysis with minimal prior knowledge. Also offering a true open-source framework based on QGIS to potentially keep data local to you.Interesting paper from Akinboyewa et al (2025). Links to the paper and code in GitHub in the comments.This... Continue Reading →
Large Language Models: Due to the risks, NASA decides against fine tuning a generative earth science LLM.“Based on our initial assessment, the costs and risks associated with developing an exclusive NASA Science Mission Directorate (SMD) decoder (generative) model currently outweigh the benefits.”In a paper published yesterday in the American Geophysical Union (AGU) - Perspectives of... Continue Reading →
Misconceptions of LLM Chatbots: For scientists and business professionals it is critical to know the source of any AI generated answer or assertion. If we cannot trace the sources accurately we are unlikely to trust the output. Imagine reading a literature review where no sources were cited.The technique used to provide as accurate as possible... Continue Reading →
A Geodyssey - Geoscience Text Analytics and Enterprise Search Research 