OpportunityFinder Milestone: the geoscience Python algorithm is now trained on 25,000 terms & phrases for specifically 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, opportunities,... Continue Reading →

Bletchley Park Bombe (replica of the original Bombe) Antoine Taveneaux CC BY-SA 3.0 Over the past few years, geoscience and data science knowledge was used to label over one million diverse geoscience sentences from public domain Internet sources (papers, reports, presentations etc.). The purpose was to identify clues for source rock, maturation, migration, hydrocarbon occurrence,... Continue Reading →

The Python based algorithm has been further developed over the past 3 months with significant expansion in a number of areas: Machine Learning: Refinement of the machine learning models using over 4,000 labelled sentences Taxonomy: Expansion of the petroleum geoscience play element lexicon / taxonomy (source rock, maturation, migration, reservoir, trap, seal and hydrocarbon occurrence)... Continue Reading →

Headlining in http://www.oilit.com

Looking forward to presenting at the Finding Petroleum conference on the 23rd March 2020 at the Geological Society of London. http://www.findingpetroleum.com/event/Investing-in-North-Sea-projects-and-technology/f1404.aspx Abstract Most of the published literature on text mining in exploration geoscience focuses on extraction of data or concepts typically in the sentence or document 'container'. There are no known approaches that look for... Continue Reading →

First advert for the OpportunityFinder algorithm on the back cover of the new issue of Digital Energy Journal.

Predicting hydrocarbon plays from text using machine learning and natural language processing. I recently tested the OpportunityFinder Algorithm on a selection of public domain geoscience literature. Only literature published between 1990 to 2010 was used, some time before a major gas discovery was made in the area. The hypothesis was whether the algorithm could surface... Continue Reading →

Infoscience Technologies Ltd provides practical digital transformation advice and algorithms to the geoscience sector. The flagship algorithm is OpportunityFinder(R), surfacing business ideas and opportunities from text (papers, reports, presentations). The tech start-up was founded by Dr Paul Cleverley (www.paulhcleverley.com) in Nov 2018 based in Oxford (UK) with a focus on Artificial Intelligence (AI) applied to... Continue Reading →