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0 Replies and 361 Views
Energy in Data 2022 - Tackling the Challenges 361 0
Started by Patrick Ng
The first in-person (after debut 2019) Energy in Data event Austin Feb 21 - 23, 2022 was a productive endeavor. Of particular interest to this community is the data-centric challenges identified by the participants in breakout sessions at the end of each day. Instead of happy hour, EiD had working breakouts so we could dive in, generate deeper and richer experience. See summary table below. Call for volunteers - anyone interested in helping us crack the 'code' tack...
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23 Apr 2022 04:24 PM |
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0 Replies and 306 Views
Image Segmentation Algo applied to Surface Wave Dispersion and S-wave Inversion 306 0
Started by Patrick Ng
Saw a practical example using open source DeepLab V3 applied to transformed surface wave data (i.e., in frequency-wavenumber and Radon domain), followed by inversion to derive the subsurface shear-wave velocity structure. Takeaway Automated 'picking' of dispersion curves in appropriate feature-engineering space, using deep learning algo can minimize the pain points out of data prep and processing (otherwise time-consuming and labor-intensive). Possibility DeepLab next-gen can be...
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20 Apr 2022 01:02 PM |
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0 Replies and 578 Views
Collaborative ESG simulation to identify sources of fugitive methane emission and to eliminate them 578 0
Started by Patrick Ng
This map shows the location of the main gas pipelines and the main sources of methane emissions related to the oil and gas industry.. https://jpt.spe.org/satellite-study-offers-first-statistical-characterization-of-methane-ultra-emittersmkt_tok=ODMzLUxMVC0wODcAAAGCmvEqLuUgoISH7_JSoWA0YBHbeZqgHHQBViuDQiG56YsFPukDWyckPDbHUL5HeDxY0WzRxrUWodY-I3B5ZLLcEtUfvQcRN5PNGTT8jdMRQp34 Q: what can we learn from emission data analyti...
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15 Feb 2022 09:43 AM |
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0 Replies and 447 Views
Geothermal Anywhere starts with a click on a map 447 0
Started by Patrick Ng
AAPG Explorer - Existing Skills, Infrastructure Could Power Geothermal Revolution January 2022 Issue https://explorer.aapg.org/story/articleid/62205/undefined Now we can go Big on energy transition, if we can turn 'geothermal anywhere' into reality. It so happens there is an app for that https://www.vue-geothermal.com/ It complements the macro 45,000 ft view of the most current and comprehensive maps published by the Southern Methodist University’s Geothermal L...
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18 Jan 2022 06:24 PM |
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0 Replies and 460 Views
Advancing ESG with Data Analytics 460 0
Started by Patrick Ng
https://aapg.informz.net/informzdataservice/onlineversion/ind/bWFpbGluZ2luc3RhbmNlaWQ9MTAzMzk2MTQmc3Vic2NyaWJlcmlkPTEwNjc0MjIyMjk= In it, we'd highlight the challenge of machine learning on combined geospatial and time history data, is ripe for GANs. So anyone who can share their experience on generative adversarial network design / data prep will really help the AAPG community.
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02 Dec 2021 11:43 AM |
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