Data Science and Machine Learning in Oil and Gas

Dr. R. A. Leo Elworth
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Data Science and Machine Learning in Oil and Gas

This podcast series was put together by data science intern Leo Elworth to spread knowledge on these hot topics to the broader community. As the buzz around data science and machine learning continues to grow, more and more people are developing a curiosity for these topics, as well as their applications to the specific field of oil and gas. Interviews with expert data scientists and geologists serve to highlight innovative problems and share entertaining anecdotes. Podcast editing assistance was provided by Selena Garza.

  1. 06.01.2020

    Richard Copsey, Open Innovation Manager (Part 2)

    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.

    20 мин.

  2. 06.01.2020

    Richard Copsey, Open Innovation Manager (Part 1)

    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.

    32 мин.

  3. 02.01.2020

    Jenny Johnson, Emerging Technologies Incubation Manager (Part 2)

    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.

    20 мин.

  4. 02.01.2020

    Jenny Johnson, Emerging Technologies Incubation Manager (Part 1)

    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.

    14 мин.

  5. 31.12.2019

    Matt Morris, Project Geophysical Advisor (Part 2)

    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.

    19 мин.

  6. 31.12.2019

    Matt Morris, Project Geophysical Advisor (Part 1)

    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.

    16 мин.

  7. 31.12.2019

    Dilshad Akkam Veettil, Data Scientist (Part 2)

    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.

    19 мин.

  8. 31.12.2019

    Dilshad Akkam Veettil, Data Scientist (Part 1)

    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.

    20 мин.
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Об этом подкасте

This podcast series was put together by data science intern Leo Elworth to spread knowledge on these hot topics to the broader community. As the buzz around data science and machine learning continues to grow, more and more people are developing a curiosity for these topics, as well as their applications to the specific field of oil and gas. Interviews with expert data scientists and geologists serve to highlight innovative problems and share entertaining anecdotes. Podcast editing assistance was provided by Selena Garza.

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  • Автор
    Dr. R. A. Leo Elworth
  • Выпуски
    14
  • Ограничения
    Без ненормативной лексики
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    © Dr. R. A. Leo Elworth
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    Data Science and Machine Learning in Oil and Gas

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