Our algorithms combine over 75,000 different ways potential hydrocarbon occurrence, source rock, maturation, migration, reservoir, trap and seal clues may be mentioned in documents, reports and logs.
Using traditional keyword search, explorers may miss up to 40% – 60%  of the relevant geoscience evidence buried in report collections.
Based on years of research, our algorithms combine the best from Knowledge Engineering, Natural Language Processing (NLP) and Machine Learning.
Our algorithms can plug into any existing search engine, fast tracking digital transformation initiatives. Bringing state of the art intelligence to assist geoscientists oil & gas data mining and search.
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