Data Science and Engineering Analytics Technical Section

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  • 1.  DSEATS Newsletter Dec 2022

    Posted 12-02-2022 10:47 AM
      |   view attached
    Data is the new oil, and digital transformation has become a common efficiency mantra across all companies. This has fueled tremendous interest in data science, and it would be of great value to everybody to hear your stories, experiences, and insights. We are delighted to release the first issue of the quarterly newsletter of SPE's Data Science & Engineering Analytics Technical Section (DSEATS), sharing insights from your peers. We're looking forward to your comments, questions, or suggestions – and to your submittal of exciting articles or regional updates to spe-dsea-newsletter@googlegroups.com.
    Enjoy Reading!
     
    Claude Baudoin Jim Crompton Meisong Yan, PE Luca Motti Sushma Bhan
    SPE DSEATS Newsletter Subcommittee

    #analyticsengineering #data #digitaltransformation #datascience #engineering #oil #spe #DSEATS #oilandgas #analytics #artificialintelligence Silviu Livescu Gregory Hickey Paul Cleverley Siddharth Misra Becky Thomas Aarti Dange Amr El-Bakry Carol Piovesan Michelle Pflueger Pushpesh Sharma, PhD Utkarsh Sinha Patrick von Pattay Nefeli Moridis, Ph.D. Wassem M. Alward Garth Naldrett Xiao-Hui Wu Alex Valdes-Perez Sebastien Matringe Serkan Dursun Sophia Weaver Josh Etkind Dr. Lionel Bryan Small Rajesh Sharma Syed Abdullah Habeeb Yogini Lakhani Steve Flinn Bruno William . Harsh Sahani Andrei S. Popa Xuejia (Morgan) Du Matthias Hartung

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    SushmaBhan
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    Attachment(s)

    pdf
    DSEA-2022-12-FINAL.pdf   2.51 MB 1 version


  • 2.  RE: DSEATS Newsletter Dec 2022

    Posted 12-04-2022 09:24 PM
    All,



    Re: DSEATS Newsletter Dec 2022, here is an eminently relevant shameless
    plug:



    Streaming this coming Wednesday, 7th Dec 2022, as part of the SPE
    Distinguished Lecturer Series



    A Survival Guide for Digital Transformation

    Abstract:

    When organizations everywhere are racing to embrace Digital Transformation,
    it is easy to get excited about the claimed possibilities and to overlook
    the fundamentals. It is also unclear what this will mean for most of us, our
    organizations and employment prospects. Hence it is reasonable to ponder and
    assess our readiness for these changes and the opportunities they may bring.

    Digital Transformation arguably began a long time ago. It was in the late
    1980s that just about everyone in the oil and gas industry started using
    computers. These were first introduced as "productivity tools" in support of
    conventional work. With the benefit of experience and technological
    progress, organizations have evolved new workflows. Today, Information
    Technology projects are increasingly seen as corporate gamechangers.

    In this lecture, an experienced geoscientist offers his take on what Digital
    Transformation may mean, and suggests how to prepare to ride the wave and
    succeed. Specific topics will include the need for a reliable data
    inventory, pre-requisites for the integration of multiple data sets and for
    the rigorous quantification of uncertainty. All these can be implemented
    without disruption, at low incremental cost and great potential value to all
    parties.

    The main takeaway point is that regardless of what Digital Transformation
    turns out to be, some actions should be taken now rather than later to ready
    the organization. These actions all revolve around the systematic
    consolidation of specific data fundamentals. In the process, the people
    involved will also become better prepared and more valuable to their
    organization.

    Speaker: Martin Storey <https: www.linkedin.com/in/martincstorey/=""> , Well
    Data QA

    Register here: https://www.spe.org/en/dl/schedule/



    Regards,

    Martin.

    SPE member, 2022-23 SPE DL Speaker