As well as detecting Geo-resources in unstructured text reports, papers and logs, OpportunityFinder can detect and disambiguate all kinds of geological concepts. High level lithology groupings in the Williston Basin are shown above in the Beeswarm chart. contact@infosciencetechnologies.com

Oxford, UK 18th June 2021: Infoscience Technologies Ltd, the pioneer in extracting geoscience and subsurface knowledge from text, is delighted to announce the United States Patent and Trademark Office has granted a patent for the OpportunityFinder® technology.  The patent award is for a Natural Language Processing System which suggests Geo-Resource Ideas & Plays from Unstructured Text.... Continue Reading →

Sentiment analysis of the last ten years of Guardian news articles mentioning geoscience. Geoscience is often mentioned in context to natural geohazards. However, there might be a trend towards increasing negative sentiment over time that may warrant further exploration. #geosciences #naturallanguageprocessing #oilandgas #mining #hydrogeology #geohazards

Topics mentioned with articles containing the word ‘geoscience’, past 10 years from The Guardian newspaper. Words are clustered automatically by their similarity (cosine) shown by the colour groupings. #geosciences #informationscience

The Python OpportunityFinder® algorithm from Infoscience Technologies can now automatically detect fossil names and their associated Lithostratigraphic Units and Geological Ages without a prior list of names. This can be useful because it is not always possible to predefine all the names and variations you are likely to come across in text. Furthermore, the way... Continue Reading →

Text mining algorithms were used to discover hidden geo-resource (metals, elements, minerals) associations in reports, maps, sketches and logs from the archives of the Geological Survey of Queensland in Australia. The Geological Survey of Queensland have made a number of excellent improvements recently increasing the accessibility of these data. A subset of report packages over... Continue Reading →

Cairn Energy deploy Infoscience Technologies’ OpportunityFinder® to detect evidence for hydrocarbon plays within unstructured text.Cairn Energy is an independent, UK based energy company focused on oil and gas exploration, development and production. www.cairnenergy.comInfoscience Technologies is an Artificial Intelligence tech start-up, extracting geoscience knowledge from unstructured text. www.infosciencetechnologies.com

Using Artificial Intelligence to search for native hydrogen in the subsurface. Australian exploration company Buru Energy have chosen Infoscience Technologies OpportunityFinder®algorithm to detect evidence for potential native hydrogen in historical documentation. Native hydrogen occurrences have been accidentally discovered historically, but little to no efforts have been made to target it industrially. Where appropriate, the use... Continue Reading →

The OpportunityFinder® algorithm has now exceeded 50,000 terms in its lexicon for detecting petroleum systems automatically in text. This is combined with hundreds of thousands of labelled data for machine learning. These can support laser like tasks, improve search & discovery, insights, knowledge mining and also support the tuning of very large language models. http://www.infosciencetechnologies.com

Some research I conducted recently comparing the counts of potential oil and gas source rock "mentions" by geological age in unstructured text, to some (rather old) actual data published in the literature on the age of hydrocarbons generated from source rocks in producing oil & gas fields. Over 48,000 terms from a lexicon were applied to... Continue Reading →