Machine Learning in Geoscience

Workshop

Power

Cloud computing

Efficiency

big data

Intelligence

machine learning

Cutting Edge

Machine Learning is one of the biggest new technologies around. We guarantee you will leave our course with a firm understanding of some of these techniques, and their application in the field of Geoscience.

Simplicity

Since 1995 we have run our training courses with a clear goal: To take complicated, useful technology and guide attendees through a simple, step by step path to understanding and applying this technology themselves.

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Learn

Advanced level machine learning theory, condensed to applicable information. No unnecessary jargon.

We teach everything you need to know to understand the problems you wish to solve. 

Specifically we tackle reservior characterisation by fault analysis and by classification.

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Apply

You will be guided through a number of specially designed exercises on paper to solidify foundational knowledge. After which you will progress through python, SciKit Learn, Keras, Tensor Flow and SHAARC exercises.

Here, you will apply the knowledge you’ve just acquired to real world seismic problem solving.

No coding experience required.

Location

This year Pays international will be hosting The Machine Learning in Geoscience Workshop in London, Houston, Dubai, and Stavanger.

Our next course will be held at the PESGB Office in London, on the 23rd-24th of April 2020.

Contact Us

For more information on any of these courses, or to reserve a place on our workshop, please contact us at info@pays-international.com.

Location

This year Pays international will be hosting The Machine Learning in Geoscience Workshop in London, Houston, Dubai, and Stavanger.

Our next course will be held at the PESGB Office in London

Dates

For more information on any of these courses, or to reserve a place on our workshop, please contact us at info@pays-international.com.

Download our course description here

Sign up to the next Machine Learning In Geoscience workshop, to be held in London on the 23rd and 24th of April 2020