Deep Learning/Machine Learning Technical Interest Group (TIG)

Applying new analytics, neural networks, computational approaches using structured and unstructured data, and also training neural networks with supervised and unsupervised algorithms. Chaired by Patrick Ng and Andrew Munoz.
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Last Post 03 Mar 2020 03:33 PM by  Bogdan Michka
Watch Subsurface Data Analytics and Machine Learning by Dr. Michael Pyrcz
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Bogdan Michka
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03 Mar 2020 03:33 PM
    Watch Subsurface Data Analytics and Machine Learning, a Distinguished Lecture talk given by Michael Pyrcz during 2019-20 AAPG DL Season.

    https://www.aapg.org/career/trainin...e-learning

    Abstract:

    Every energy company that I visit is interested in growing internal capabilities to add value with data analytics and machine learning. Energy has a long history of working with large, complicated geoscience and engineering datasets and there is a growing toolbox of old and new emerging data-driven methods available that may offer improved efficiency and potentially new insights from vast and complicated subsurface datasets. This talk is an opportunity to link subsurface data analytics and machine learning to fundamental concepts from probability, statistics, geoscience and engineering and to provide an enthusiastic, but at times critical perspective on what we may expect in the data-driven science revolution.
    Bogdan Michka | Web Producer
    American Association of Petroleum Geologists
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