Deep Learning Geoscience Named Entity Recognition

We are using Deep Learning to leverage the unique 45,000 petroleum system related textual clues in OpportunityFinder®. Designed for automation, the clues combined with auto-annotation of millions of sentences allow a deep learning model to generalise (learn). This enables the detection of valid clues in geoscience text (reports, presentations, papers) not present in the original... Continue Reading →

OpportunityFinder® and Renewables Geothermal Projects

OpportunityFinder® is being tested within a renewables geothermal project in collaboration with the British Geological Survey. BGS are investigating mine water in underground abandoned coal mines as a low carbon sustainable heat source for housing and manufacturing, and have several other potential use cases for knowledge extraction from their data archives to meet the challenges... Continue Reading →

OpportunityFinder®

Announcing V2.0 released. Discover new oil & gas exploration ideas, leads, plays and opportunities in your unstructured text. Also exploit your unstructured text for analogues. OpportunityFinder® - “first of its kind” pattern based geoscience search.

GEOCLASSIFIER® – OUTPUT

Example showing autoclassification output from GeoClassifier® from a selection of public domain geoscience documents. The proportion of topics are clustered in a Pearson dendrogram heatmap. Those above the mean are in red, below the mean in dark blue relative to the corpus/collection. Easy to see clusters of documents predominantly about certain topics and to spot... Continue Reading →

A Gift to the Geoscience Community: GEOCLASSIFIER® – A Predictive Geological Text Classifier

To welcome in 2021 we are gifting GEOCLASSIFIER® - a geological machine learnt text classifier to not-for-profit organisations. This assists information searching, filtering and discovery of geoscience topics in text. Even documents predominantly about one topic, often reference other geoscience topics buried within their pages. Automatically surfacing these topics could lead to insights that may... Continue Reading →

Complex Geoscience Knowledge Graphs from Unstructured Text

The OpportunityFinder® algorithm automatically produces complex geoscience Knowledge Graph networks from unstructured text. The algorithm uses 'DNA profiling inspired' techniques to populate the graph. This enables interesting patterns and new knowledge to be surfaced that are beyond the reach of other approaches. To find out more information and arrange a presentation or pilot contact: contact@infosciencetechnologies.com

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