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0 Replies and 374 Views
Azure, AWS and GCP Snapshot Q1 2021 374 0
Started by Patrick Ng
Pick up where we left off last post October 23, 2019 (Azure, AWS and GCP snapshot Q3, 2019). Premise - here we shall focus on productivity (min coding max use of ML). Scenario - take a spreadsheet or table like (structured) dataset, where the rows are well API numbers, and columns of location, well depth, lateral length of horizontal wells, formation thickness, porosity, velocity, density, other subsurface properties, etc.). Objective - train ML model to rank some proposed well locat...
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27 Apr 2021 07:44 PM |
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0 Replies and 409 Views
Pivot 2021 - ML, Geothermal and Smart Completions 409 0
Started by Patrick Ng
Learning from other industries - sign up for a free workshop April 28, after hours for flexibility Presentations: John Holbrook, Ph.D., Texas Christian University Geothermal Developments, Solar Energy Storage Sean Marshall and Danny Rehg, Criterion EP Geothermal Lease Evaluation – A Challenge Dan Taranik, Exploration Mapping New and Old Satellite Imagery for Surface Temperature and Emissivity Deborah Sacrey, Auburn Energy Bivariate Statistics on Old East Texas Field for New Pr...
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22 Apr 2021 03:00 PM |
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0 Replies and 397 Views
EiD - Probing Questions and Seeking Answers 397 0
Started by Patrick Ng
These three observations can benefit taking feedback / sharing experience from a wider community - 1) Edge computing - lots of applications in edge computing helps us reduce cost and increase efficiency. Edge computing enables cheaper ML model to be built and at different time scales. 2) Knowledge curation - make open-source movement useful, we need to organize information in one place (reservoir, geoscience, engineering) and make that searchable like Yahoo! in the early days of i...
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16 Apr 2021 01:41 PM |
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0 Replies and 400 Views
Energy in Data 2021 - Greeting 400 0
Started by Patrick Ng
Thinking about the two-morning workshop https://www.youtube.com/watchv=t53OXaV_5M8 It is a click away. https://energyindata.org/
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08 Apr 2021 12:16 PM |
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0 Replies and 403 Views
First look at well production data - before tackling how well ML models generalize? 403 0
Started by Patrick Ng
Follow up to prior post “AI teaches itself - no manual labels required” 03.08.2021. Perspective - day in and day out, geologists, engineers, and analysts are active players in asset evaluation and project economics. 80 of the time spent on generating oil and gas projects: exploring ideas with a map, finalizing investment decisions and picking well locations on a map. And what else we may do the other 20 Due diligence and risk assessment. A common issue is the time and effort it takes to p...
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15 Mar 2021 01:09 PM |
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