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0 Replies and 636 Views
Collaborative ESG simulation to identify sources of fugitive methane emission and to eliminate them 636 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 491 Views
Geothermal Anywhere starts with a click on a map 491 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 507 Views
Advancing ESG with Data Analytics 507 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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0 Replies and 547 Views
CCUS - from an Independent's perspective 547 0
Started by Patrick Ng
This AAPG Pivoting 2021 Webinar took place 09.15.2021. Link to the video recording will be added when available. Watch this space. Data - the challenge and opportunity to 'play' with satellite imaged infrared data is posted on Xrathus (sign up and access). https://xrathus.com/x/hub/challenge/124/overview Get set and get started. Abstract - Until recently, Enhanced Oil Recovery (EOR) projects utilizing CO2 have primarily been the exclusive bailiwick of large operators with ...
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16 Sep 2021 09:11 AM |
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0 Replies and 561 Views
Azure, AWS and GCP Snapshot Q2 2021 561 0
Started by Patrick Ng
Premise - usability of OSDU (open subsurface data universe). Scenario - want to access seismic and well log data, prep ML. Azure - Machine Learning Studio (classic) offers the best-in-class drag-and-drop machine learning builder. For those experienced in seismic data processing, the UI comes naturally. However, when it comes to OSDU, if accessible via OSDU connector, like Power BI, that will supercharge ML Studio to ML Nirvana. (Just add one OSDU box at the top to the rest of prep-ML workf...
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19 Jul 2021 09:10 PM |
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