Using AI to detect Natural Hydrogen: Back in 2021 I worked on a project using text mining applied to old oil & gas reports to detect both explicit and implicit clues for overlooked H2 occurrences. I found it interesting to read a recent paper published last few weeks by Herreid et al (2023) from the... Continue Reading →

It is 100 years since Paul Otlet and Henri La Fontaine created the ‘Mundaneum’ - the prophetic conceptual precursor of today’s Internet.  The utopian Mundaneum (renamed from the Palais Mondial in 1924) was essentially a ‘Google by telegram'. It has been described by Le Monde as ‘A paper Google’, by the New York Times as... Continue Reading →

I was invited to No 10 Downing Street today for the winter reception. It was lovely to meet other guests from different business sectors hosted by the Chancellor of the Exchequer. A lot of interest in the subsurface, geoscience, data and AI. Merry Christmas and Happy New Year everyone. #geoscience #digital #technology #artificialintelligence #business #government

Link to presentation here: https://www.youtube.com/watch?v=sR96AGqNxhM&list=PLKBhokJ0qd39DKVumBWmeD0y17cJa_4n5&index=9

I've been assessing the potential of using patterns of words in large volumes of text to map geology. A hypothesis could be that there are subtle word association patterns in reports that might be useful in some way for geoscience. Perhaps by impacting uncertainty in our existing models or highlight differences that may warrant further... Continue Reading →

Congratulations to all those that took part in the first subsurface Large Language Model (LLM) Hackathon last week using data from the UK, Norway and The Netherlands government repositories. The event coincided with the anniversary 1 year ago of the launch of ChatGPT. This is an area where the first practical deployments of LLM's are... Continue Reading →

I've now publicly shared the deep learning model to detect ammonites which you can use on a Smartphone. This was built by labelling 300 images of ammonites (over 800 annotations in total) using Datature's platform free trial version. See my previous posts for more details. It is meant as a bit of fun to perhaps... Continue Reading →

I believe this may be the first research published on what geoscientists think of Generative AI responses. The experiment tested the impact of enriching text chunks generated from 100 public domain geoscience reports using Retrieval Augmented Generation (RAG). The tagging had the effect of influencing the top text chunk candidates from the vector database used... Continue Reading →

Enjoyed opening the SPDM conference today which runs for three days. Sharing some models used in today's Society of Professional Data Managers (SPDM) conference. Bloom's taxonomy for educational outcomes was created in the 1950's and is still used in teaching today. After learning we have to remember, understand, apply in new situations, analyse - compare... Continue Reading →

Looking forward to sharing some exciting new developments in Digital Geoscience at the British Computer Society this Wednesday. There is so much geological and subsurface knowledge buried in documentation we need new ideas and approaches to further exploit this information using AI. This can support the #energytransition #mining #oilandgas #renewableenergy to support #netzero targets, mitigation of #geohazards and #geotechnical support of construction. The British Computer Society Information Retrieval... Continue Reading →