I’ve been experimenting with 500,000 corporate emails and natural language processing for social network analysis. Using graph algorithms we can infer information behaviour identifying clusters of ‘important’ people in a network based on incoming emails. This type of ‘importance’ might be hidden and not relate to formal roles and organisational hierarchy. These can be further... Continue Reading →

When I was asked to write this paper last year, ChatGPT had not even been launched! Time moves fast in NLP. Nevertheless for geoscientists and petroleum engineers the uses cases and techniques are all valid and language models are included. A direct link to the paper is below. #oilandgas #mining #geothermal #artificialintelligence #taxonomy #naturallanguageprocessing paul-cleverley-society-of-petroleum-engineers-nlp-data-science-article-to-be-published-mid-november-2022-1.pdf

Applying Generative AI (ChatGPT) to subsurface and wells content. I’ve been applying OpenAI’s ChatGPT to the graph data structures produced by the OpportunityFinder(R) and GeoClassifier(R) NLP algorithms after they have processed unstructured data (reports, presentations, literature etc) at a sentence level. This technique called prompt engineering, allows you to apply Large Language Model structure but... Continue Reading →

Looking forward to this on Wednesday. https://www.spe.org/en/events/live-events/ A link to the NLP paper can be found in SPE DSEATS Dec 2022 Issue: https://www.linkedin.com/posts/spe-data-science-and-engineering-analytics-dsea-technical-section_spe-dseats-newsletter-dec-2022-activity-7004244956944949248-jRoD?utm_source=share&utm_medium=member_ios #artificialintelligence #subsurface #wells #drilling #naturallanguageprocessing #geoscience #petroleumengineering #mining #oilandgas #geothermal #carboncapture #hydrogen

Pleased to announce Infoscience Technologies Ltd has received the King’s Award for Enterprise Innovation. The award was conferred today by His Majesty King Charles III to Infoscience Technologies for outstanding achievement in innovation after recommendation by the Prime Minister. The award is the most prestigious for a UK business. Infoscience Technologies’ patented Artificial Intelligence algorithms... Continue Reading →

I am on the technical committee for the upcoming EAGE workshop on data science in Kuala Lumpur later this year. The call for abstracts has opened, details below: This workshop will discuss the foundations of Data Science and successfully integrating these techniques into critical exploration pipelines and focus on two levels: •As a workshop to... Continue Reading →

Contradictions in text: Been conducting some research on natural language processing, blending textual entailment using probabilistic language models with graph based associative text extraction. Take the two sentences: 1. Good oil shows and good poroperm values were observed in core x in the Raptor Sandstone. 2. The Raptor Sandstone was water wet. The predictive model... Continue Reading →

Friend Of A Friend (FOAF) concepts in Graph data structures can be useful for detective work. For example: Mr Green "knows" Mr Blue who "knows" Mr Red. Mr Green and Mr Red "stayed at" the same address in 2010. But Mr Green and Mr Red (deny that they) "know" each other. Automatically extracting people's names,... Continue Reading →

It’s become quite easy to deploy simple question & answer extraction tools to search unstructured text. I posed the question “What share of the UK market do electric cars have in 2022?”. This could be phrased in many ways such as “In the UK what is the electric car market share?” etc, which returns the... Continue Reading →

At a GeoScienceWorld meeting this week. Some beautiful dark red garnets in a schist (metamorphosed shale) from Wissahickon Valley in Philadelphia.