Tyler Schlosser presenting on Machine Learning for SPE
Verdazo Analytics’ Chief Data Scientist Tyler Schlosser will deliver a presentation titled “Machine Learning: Practical Examples in Upstream Oil & Gas” for the Society of Petroleum Engineers (SPE). The presentation takes place from 7:30-9:30 a.m. on May 31, 2018 as part of the SPE’s Oil & Gas Analytics Breakfast Series.
The presentation will provide a quick overview of Machine Learning, how it can be applied to Oil & Gas problems with a focus on time-to-value, the challenges it presents, and specific case studies to illustrate its power.
Schlosser was recently appointed Chief Data Scientist at Verdazo Analytics after over a decade of experience across Oil & Gas, mostly recently as Director of Economics and Risk at GLJ Petroleum Consultants.
Learn more about the presentation and register here.