Data Science and Machine Learning in Oil and Gas

Latest Episodes:

Richard Copsey, Open Innovation Manager (Part 2) Jan 06, 2020

Show notes

In part 2, we further discuss the role of the gig economy via the crowd in data science and machine learning, now and in the future.

Richard Copsey, Open Innovation Manager (Part 1) Jan 06, 2020

Show notes

Richard Copsey introduces the idea of looking "beyond the walls" for data science and machine learning solutions. New approaches like crowdsourcing can bring data science work in from a wide, external talent pool. We also discuss three specific oil and gas problems that were solved in part by the crowd.

Jenny Johnson, Emerging Technologies Incubation Manager (Part 2) Jan 02, 2020

Show notes

In part 2, we get tips from Jenny for how to be a successful entrepreneur in the startup space of data science and machine learning. For instance, we cover the dos and don'ts of navigating a tech showcase as a startup.

Jenny Johnson, Emerging Technologies Incubation Manager (Part 1) Jan 02, 2020

Show notes

Jenny Johnson discuss how to work with emerging technologies in data science and machine learning. In particular, she walks through working with startups, and more generally the startup ecosystem, to solve business pain points requiring new data science and machine learning solutions.

Matt Morris, Project Geophysical Advisor (Part 2) Dec 31, 2019

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How does a machine learning skeptic turn into a machine learning advocate? In Part 2, Matt recounts his data science and machine learning journey from his initial introduction and skepticism to his acceptance and forward looking thoughts on where these methods will proceed from here in oil and gas.

Matt Morris, Project Geophysical Advisor (Part 1) Dec 31, 2019

Show notes

As a senior geoscientist who has been involved in many data science and machine learning projects, Matt Morris discusses where these fields fit into the work of a geoscientist in oil and gas. He describes what problems are well suited for data science or machine learning and the qualities of the solutions that can make them more useful.

Dilshad Akkam Veettil, Data Scientist (Part 2) Dec 31, 2019

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In part two, we find out what led Dilshad to pursue science and how his career took some unexpected turns along the path to becoming a data scientist.

Dilshad Akkam Veettil, Data Scientist (Part 1) Dec 31, 2019

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Still new to being a data scientist, Dilshad tells us about his latest work on Geosteering and reveals how an afternoon at a loud cupcake cafe helped with a messy data problem.

Ingrid Tobar, Manager Data Science and Advanced Analytics (Part 2) Dec 18, 2019

Show notes

In the second half of Ingrid Tobar's interview, she shares with us her love for Environmental Science and how that evolved into working in the Oil and Gas industry.

Ingrid Tobar, Manager Data Science and Advanced Analytics (Part 1) Dec 17, 2019

Show notes

Data Scientist Ingrid Tobar walks us through one of her most interesting projects, Rapid Basin Evaluation. She discusses this project for shortening the timeline for a basin evaluation and how the team was able to accomplish that goal.