GeoClassifier® can automatically classify sentences, paragraphs and documents to geoscience categories and detect well/borehole names in text. GeoClassifier® uses over 250,000 labelled public geoscience sentences to train deep learning models to achieve this. When an organisation licenses the algorithm they also receive the actual training data, so can build and train their own ML models... Continue Reading →

Due to the performant way the patented algorithm has been designed, it can check through millions of permutations in every sentence in a document extremely quickly. In a large corpus of text this equates to trillions of permutations. Run on nothing more sophisticated than a standard i7 high street laptop, the algorithm processed 1 Million... Continue Reading →

Infoscience Technologies was delighted to guest author an article on Natural Language Processing (NLP) in the Geosciences for Halliburton's September issue of Subsurface Insights magazine. This month's issue is a Minerals special. Sign up free to Halliburton's magazine for a copy: https://geoweb.neftex.com/account/accessrequest More info: contact@infosciencetechnologies.com

Detecting entities such as well names in unstructured text can be useful for many aspects of information discovery. Lookup lists from corporate databases and regular expression pattern rules can be useful. They do have limitations though, it can be difficult to predict sometimes what may lie within thousands of old reports and documents. Having a... Continue Reading →

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... Continue Reading →

The Python OpportunityFinder® algorithm 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 names are used... 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. http://www.cairnenergy.com Infoscience Technologies is an Artificial Intelligence start-up, extracting geoscience knowledge from unstructured text. http://www.infosciencetechnologies.com

In April 2021 Infoscience worked on the world's first large scale text analytics project to detect natural hydrogen. Working with a natural resources exploration company, this was to detect both explicit and implicit evidence for natural hydrogen in legacy oil & gas documentation. This contributed to the development of a new hydrogen play. It was... Continue Reading →