Beneath the Subsurface

Artificial Intelligence, Machine Learning and the Energy Industry

Season 1 : Episode 1

EPISODE SUMMARY

In the inaugural episode of Beneath the Subsurface, we delve into the exciting realm of AI and Machine Learning as a blossoming new part of the energy industry. Arvind Sharma and Robert Gibson discuss and debate the impacts of disruptive technology, the importance of robust data libraries when building AI solutions, and the future of our industry with AI and ML solutions. With your host for the episode, Erica Conedera, we explore the factors that pushed our slow moving industry to this tipping point in technology and where it could be leading us.

EPISODE NOTES

In the inaugural episode of Beneath the Subsurface, we delve into the exciting realm of AI and Machine Learning as a blossoming new part of the energy industry. Arvind Sharma and Robert Gibson discuss and debate the impacts of disruptive technology, the importance of robust data libraries when building AI solutions, and the future of our industry with AI and ML solutions. With your host for the episode, Erica Conedera, we explore the factors that pushed our slow moving industry to this tipping point in technology and where it could be leading us. 

TABLE OF CONTENTS:
0:00 - Intro
1:03 - Factors that brought AI to O&G
5:32 - Job creation with AI
12:05 - Career paths and team compositions in the industry
15:30 - Industry pain point solutions with AI and ML
21:32 - Clouds, open source and democratization
24:24 - Kaggle and crowdsourcing Salt Net
30:51 - Kaggle challenges with Well Data
33:58 - Catching up with silicon valley
36:49 - Approaching solutions with AI
44:18 - Disciplining data and metadata to get to the "good stuff"