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0 Replies and 590 Views
Drill down into risk and return using Hybrid model - from DCA to MPT 590 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 |
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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 |
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0 Replies and 482 Views
Energy IN Data 2020 - Shaping the Transformation 482 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 |
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0 Replies and 413 Views
Resources: Machine Learning with Deborah Sacrey 413 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 |
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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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