Data Science and Engineering Analytics Technical Section

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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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