Language Comprehension Question and Answer models.

There are several Question & Answer OpenSource Language Comprehension models that can be applied to unstructured text. Even without tuning to a domain, they are capable of producing some quite remarkable answers buried in large amounts of text for simple factual questions. The image above is a simple example related to Carbon Capture, Utilisation and Storage... Continue Reading →

OpportunityFinder® v4.2: State-of-the-art geo-tagging for subsurface, geoscience and Earth science documents

NEW: OpportunityFinder® v4.2 has options to detect 30% more geographical/geobody entities within the body text of documents. These can support spatial and map based search & discovery. Coverage includes from well/boreholes, leads, prospects & plays to fields, deposits, localities, tracts, blocks & licenses to mountains, foldbelts, seamounts and basins. Using state-of-the-art natural language processing and... Continue Reading →

Automatically detecting geo-resource evidence in reports.

Looking to extract evidence for petroleum systems, metals & minerals, heat flow, fluid flow or aquifers & seals in reports or semi-structured databases? Or chronostratigraphy, lithostratigraphy, tectonics, depositional environment and lithology? The patented algorithms from Infoscience Technologies may give your organisation a fast start.. contact@infosciencetechnologies.com

Using machine learning to detect mentions of drilling and operational problems in text.

Using machine learning to detect mentions of drilling and operational problems in text. Over 5,000 public domain sentences have been labelled to train a predictive machine learning model to detect wellbore drilling and operational ‘problems’ (including reservoir and production) in documents, reports and logs. This can support alerts & monitoring, health & safety, search &... Continue Reading →

Using machine learning to detect drilling, reservoir and production problems in unstructured text

The GeoClassifier® algorithm can detect operational problems in reports, documents, logs and other forms of unstructured text. Machine learning (neural networks) is used for prediction, complementing the existing machine learning model in GeoClassifier® which detects well / borehole names without using a prior list of names. These can be used to support oil & gas, mining, renewables, carbon capture &... Continue Reading →

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