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0 Replies and 339 Views Resources - Patrick Ng - Drill Down Into the Risk and the Return Using A Hybrid Model  339  0 Started by  Bogdan Michka Watch Drill Down Into the Risk and the Return Using A Hybrid Model. A Moneymaker Forum talk given by Patrick Ng, Real Core Energy in Oklahoma City, Oklahoma on 4 April, 2019. https://www.aapg.org/videos/playmaker/Articleid/52638/patrick-ng-drill-down-into-the-risk-and-the-return-using-a-hybrid-model
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24 Apr 2019 07:43 AM
0 Replies and 646 Views Resources - Machine Learning with Susan Nash  646  0 Started by  Bogdan Michka Watch Introduction to Machine Learning/Deep Learning with Susan Nash, AAPG's Director of Innovation & Emerging Science/Technology, AAPG Energy Insights Podcast Episode 7. https://www.aapg.org/videos/interview/articleid/52567/machine-learning-with-susan-nash Feel free to ask questions in the comments under the video, to be addressed in the future editions of the Podcast.
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16 Apr 2019 02:56 PM
0 Replies and 398 Views Takeaway from Playmakers Series / Moneymakers Forum @OKC  398  0 Started by  Patrick Ng Takeaway - expect shifting landscape and limiting capital for the next 3 years. Reasons being: 1) Binge on leasing and flipping is over. Consolidation is happening. 2) Focus on returns and cash flows. Running a business for the long haul (vs. transacting in and out). So the Panel's exchanges on: a) Minimize frac hits (interference) - combine analytics and in-situ experiments, pave the way to reduction of plugs with diverting agents, eventually lead to potential savings of $ 450,000 to ...
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05 Apr 2019 11:48 AM
0 Replies and 326 Views Automated Machine Learning vs ML causing crisis  326  0 Started by  Patrick Ng Fine tuning ML model is made easy with Azure’s automated ML (link: https://azure.microsoft.com/en-us/blog/announcing-automated-ml-capability-in-azure-machine-learning/ ) While it is the opposite end member to “ML causing science crisis” (February 20, 2019 post), the real question is whether we learn with the machine, or outsource learning to the machine with “No need to “see” the data'. For gut check, how about auto-nose correction algorithm on the 737...
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23 Mar 2019 12:00 PM
2 Replies and 380 Views Machine Learning causing science crisis?  380  2 Started by  Patrick Ng 'Machine-learning techniques used by thousands of scientists to analyse data are producing results that are misleading and often completely wrong.' Link: https://www.bbc.com/news/science-environment-47267081 According to professor Allen from Rice University, Houston, “answers they come up with are likely to be inaccurate or wrong because the software is identifying patterns that exist only in that data set and not the real world.” Crisis Not quite. Pe...
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20 Feb 2019 01:55 PM
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