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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.

Deep Learning - Machine Learning TIG

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Deep Learning - Machine Learning TIG Discussions

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0 Replies and 591 Views Drill down into risk and return using Hybrid model - from DCA to MPT 591 0 Started by Patrick Ng Highlights of examples shown at the AAPG ML Workshop, Wichita KS two weeks ago. Hybrid model combines neural-network enabled decline curve analysis (DCA) and modern portfolio theory (MPT). We illustrate a powerful methodology to quantify risk and optimize portfolio allocation with granularity, integrity, transparency and science-based machine learning in mind. Examples using the same AI engine First quick check on Hart Energy Majors portfolio (six sto...

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23 Oct 2019 01:10 PM

0 Replies and 706 Views SEG Special Edition - Machine Learning Applications 706 0 Started by Patrick Ng https://library.seg.org/toc/leedff/38/7 In case access is an issue, here is a quick takeaway (excerpt from The Leading Edge, July 2019) 1) demystify machine learning (ML) - using wedge model to illustrate thin-bed tuning effect, when the underlying physics is well understood then conventional inverse methods generally lead to a better solution, but when the physical model does not adequately describe the real world, or the inverse problem is nonlinear, then machine learning could succeed w...

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25 Jul 2019 01:03 PM

0 Replies and 483 Views Energy IN Data 2020 - Shaping the Transformation 483 0 Started by Patrick Ng Motivation - 1. Per feedback from ML and Analytics Workshop Houston at the start of 2019, we shall facilitate a community to exchange ideas and put forward recommendations for AAPG continuing education. Retooling / upskilling, whatever we call it, is an integral part of the digital transformation mega trend. 2. After a well attended and productive 2.5 day workout of EID Austin a month ago, it is important to keep up with the momentum on digital transformation crossing disciplines...

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22 Jul 2019 12:07 PM

0 Replies and 414 Views Resources: Machine Learning with Deborah Sacrey 414 0 Started by Bogdan Michka Watch Data Mining/Machine Learning and the Evolution of the Petroleum Geoscientist with Deborah Sacrey, Auburn Energy. AAPG Energy Insights Podcast Episode 9. https://www.aapg.org/videos/interview/Articleid/53602/machine-learning-with-deborah-sacrey

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16 Jul 2019 03:02 PM

0 Replies and 434 Views Azure, AWS and GCP snapshot Q2, 2019 434 0 Started by Patrick Ng Azure - while Auto-ML imbedded in Power BI can deliver standard classification and regression, it does require a Premium subscription. In a multi-tier model, Pro tier won’t get Auto-ML yet. If Microsoft’s stated goal is “democratizing ML”, Azure shows it can be done by 80/20 rule - 80 of the time, suffice as first quicklook. Just as features normalization from Lexus to Toyota over time, tiered features to Pro will be a welcome change in Q4. AWS - while Alexa can play nice with Python, the pr...

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08 Jul 2019 07:12 PM

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Forums Technical Interest Groups Deep Learning - Machine Learning TIG Discussions

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