Interviewed today by PhD candidate Suraj Ibrahim researching the information behaviour of digital entrepreneurs during ideation. Specifically, the motivations regarding information seeking, how it is being done and other related cognitive, emotive and affective behaviours. Ideation, in this context, pertains to the creation of start-ups or enhancing of an existing business. The goal of the... Continue Reading →

Enjoyed presenting today a case study on the impact of COVID-19 on search in an organisation at the British Computer Society Search Solutions event. Over 2.5 million search queries were analysed prior, during and after initial lockdowns in March this year. A big thankyou to my co-authors Fionnuala Cousins and Simon Burnett and to the... Continue Reading →

The OpportunityFinder® algorithm now contains over 40,000 terms & phrases engineered specifically to be used to automatically extract geoscience knowledge in text for exploration. https://infosciencetechnologies.com/2020/11/21/oil-gas-taxonomy-grows-to-40000-terms-phrases-in-opportunityfinder/

https://infosciencetechnologies.com/2020/11/18/automatically-read-massive-volumes-of-text-like-a-geoscientist/

Lyme Regis on the 'Jurassic' South Coast of England is well known for its Ammonite graveyards, Ichthyosaurs and dark organic rich mud facies which is an oil source rock. The top of the cliffs contain Cretaceous beds and where land slips have brought these down to the beach occasionally you can find Echinoids (sea urchins)... Continue Reading →

When I look back to 1984 when I received my 32k home computer, at the time I didn't think I was at the dawn of personal computing and an explosion of creativity. The more I delve into the 175Billion parameter (in AI size matters) Transformer GPT-3 Language Model built from vast swathes of the Internet,... Continue Reading →

Using over 700 public oil & gas license relinquishment reports from over 30 companies (2008-2017) in the UKCS, I built a language model of similarity between terms after careful semantic processing. The chart above shows vector cosine similarity between various play elements and the 'risk' word vector on the x -axis, and 'failure' (proxy 'actual'... Continue Reading →

Delighted to be presenting research findings at the British Computer Society Search Solutions 2020. Showing how COVID-19 may have affected usage of search engines in the enterprise. British Computer Society (BCS) Search Solutions November 25th 2020. Agenda here: https://irsg.bcs.org/SearchSolutions/2020/sse2020.php

Interesting paper published in Computers and Geosciences. “3D lithological mapping of borehole descriptions using word embeddings” Fuentes et al (2020). Applied to groundwater studies in New South Wales, Australia. https://www.sciencedirect.com/science/article/pii/S0098300419306533 Also an interesting paper published in the AGU. Dictionary‐Based Automated Information Extraction From Geological Documents Using a Deep Learning Algorithm - Qiu - 2020 -... Continue Reading →

OpportunityFinder Milestone: the geoscience algorithm is now trained on over 25,000 terms & phrases for identifying clues for source rock, maturation, migration, reservoir, hydrocarbon occurrence, trap and seal in unstructured text (reports, presentations and papers). This is used by its one-of-a-kind pattern based discovery method to assist the Geoscientist and surface possible leads, analogues, opportunities... Continue Reading →