Impact of COVID-19 on Search in the Enterprise

Delighted to be presenting research findings at the British Computer Society Search Solutions 2020. Showing how COVID-19 may have affected usage of search engines in the enterprise. British Computer Society (BCS) Search Solutions November 25th 2020. Agenda here:

3D lithological mapping of borehole descriptions using word embeddings

Interesting paper published in Computers and Geosciences. “3D lithological mapping of borehole descriptions using word embeddings” Fuentes et al (2020). Applied to groundwater studies in New South Wales, Australia. Also an interesting paper published in the AGU. Dictionary‐Based Automated Information Extraction From Geological Documents Using a Deep Learning Algorithm - Qiu - 2020 -... Continue Reading →

Digitally Transforming Geoscience Opportunity Generation Workflows with Natural Language Processing (NLP)

OpportunityFinder Milestone: the geoscience algorithm is now trained on over 25,000 terms & phrases for identifying clues for source rock, maturation, migration, reservoir, hydrocarbon occurrence, trap and seal in unstructured text (reports, presentations and papers). This is used by its one-of-a-kind pattern based discovery method to assist the Geoscientist and surface possible leads, analogues, opportunities... Continue Reading →

Analysing over 2 Trillion Possible Permutations from Unstructured Text in Under 1 Hour on an i5 laptop.

I recently ran 1 million sentences from public domain geoscience literature articles & reports through the OpportunityFinder® algorithm. The aim was detecting hydrocarbon exploration play elements and interesting combinations using Natural Language Processing (NLP) and Machine Learning. This involved analysing over 2 Trillion possible permutations hidden within the text. Through iterative design, I arrived at... Continue Reading →

Presented at Petrobras SIMGEO

Delighted to be invited by Petrobras this week to give a presentation of OpportunityFinder at the SIMGEO 'Digital Transformation in the Geosciences' symposium. OpportunityFinder(R) is a Python based algorithm which surfaces non-obvious exploration opportunities hidden in unstructured text (reports, documents) and can be adapted to other geosciences based work tasks.

Searching for geoscience information in the workplace

In 2015 we conducted an experiment to see how well people performed searching for geoscience information in an organization using search engines. In total 26 experienced staff from several countries in an exploration company participated using their own company information and subsurface search engine. To our knowledge, it was the first and remains the only,... Continue Reading →

The Tyranny of the OR and the Genius of the AND

Over 25 years ago Collins and Poras (1994) studied successful companies and noted their ability to often embrace what appear to be competing constructs. This may be akin to machine learning (statistical) and knowledge engineering (linguistics-taxonomies). On many occasions I've seen one 'camp' explain all the pitfalls of the other, without acknowledging the limitations of... Continue Reading →

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