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0 Replies and 328 Views
Excel-Based Random Forest Machine Learning Algorithms: Programming and Application 328 0
Started by Susan Nash
Check out the link: https://www.aapg.org/career/training/in-person/short-courses/details/ispreview/true/articleid/563881743109-overview To give you a powerful new tool for your reservoir, reserves, supply chain, water management, and other models, AAPG is offering a machine learning course that jump-starts you into building powerful Random Forest algorithms without having to program in Python or R. You simply use Excel and Visual Basic, and your instructors will guide you as you build a too...
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03 Mar 2020 11:11 AM |
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0 Replies and 499 Views
Azure, AWS and GCP - Plug and Play 499 0
Started by Patrick Ng
Hot off the press from Azure https://www.cnbc.com/2019/11/04/microsofts-azure-arc-lets-customers-use-its-tools-on-other-clouds.html Expect AWS and GCP, if not sooner, interoperability to match. p.s. recall May 2019 Q1 snapshot post, 'Predict by 2020, kubernetes will afford true interoperability among different cloud platforms', Azure Arc beats that by a quarter!
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04 Nov 2019 02:45 PM |
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0 Replies and 526 Views
Azure, AWS and GCP snapshot Q3, 2019 526 0
Started by Patrick Ng
Take a specific challenge - portfolio allocation, and focus on how we put it together. Visual reference, figures associated with the two Hybrid model articles. “Hybrid approach to Well Economics” https://www.ogj.com/home/article/17295206/a-hybrid-approach-to-well-economics “Operating profitably with $ 50 Oil” https://www.ogj.com/home/article/17295171/operating-profitably-with-50-oil Azure Power ...
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23 Oct 2019 03:34 PM |
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0 Replies and 656 Views
Drill down into risk and return using Hybrid model - from DCA to MPT 656 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 758 Views
SEG Special Edition - Machine Learning Applications 758 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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