Transforming Text Extraction in Petroleum Geoscience through Machine Learning: 94.52% Accuracy

One of the key tasks in Natural Language Processing (NLP) for the Petroleum Geoscientist is detecting entities in text, such as 'source rock'. The challenge is that just using the term 'source rock' and it's plural form 'source rocks', would miss 22% (recall) of all occurrences (false negatives) for 'source' in its word sense of... Continue Reading →

Machine Learning in Oil & Gas Exploration: Clustering Annotations

I've clustered the labels I annotated recently for 22,528 sentences (extracted from randomly sampled public domain petroleum exploration reports). There are 73 labels, I've shown a subset in the poster above. The labels represent 96,197 label relations (arc edges). The hierarchical cluster heatmap (Metsalu and Vilo 2015) in the poster uses Pearson Correlation (rather than... Continue Reading →

Bypassed Information Pay

I have been thinking about conceptual models relating to the vast (and continually growing) unstructured text collections within enterprises. Regardless whether this is in hardcopy form in libraries/archives or digital form on file systems or document management systems. In the oil & gas industry, the concept of 'missed pay' is given to a reservoir zone... Continue Reading →

Ammonite Pavement

Always a privilege this week to see the 'ammonite pavements' in Lyme Regis on the Jurassic Coast in Dorset, UK. Above are some of my photographs of hundreds of large ammonites exposed at low tide. Thought provoking to imagine as you walk over the fossilised sea floor of 200 Million years ago, when the UK... Continue Reading →

Introducing the DMA Model for Text Analytics

When presented with large volumes of text there are a number of techniques when applying text analytics. I developed the DMA Model as a simple conceptual way to categorize the main types. Rules based or machine learning techniques can be used individually or together for each of these 3 areas: Document Centric This scenario occurs... Continue Reading →

Enterprise Search: A State Of The Art

New research published this week for Enterprise search. Insights from the petroleum, life sciences, aerospace, intelligence services, manufacturing, retail and legal sectors for digital transformation. In many respects Enterprise Search & Discovery may have become part of the Corporate Exobrain. Complementing tacit networks allowing individuals and teams to extend brainpower by searching and exploiting explicit... Continue Reading →

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