Data Science and Engineering Analytics Technical Section

Welcome!

The Data Science and Engineering Analytics Technical Section (DSEA) is a dynamic hub for members driving digital transformation across the energy sector—particularly in upstream. With AI, machine learning, and automation now central to unlocking operational efficiency, production optimization, and emissions reduction, DSEA empowers professionals to turn data into actionable intelligence. 

In today’s high-stakes environment, even marginal gains in performance can translate into substantial bottom-line impact. That’s why DSEA’s relevance spans all SPE disciplines—from reservoir and production to drilling, completions, and facilities—bridging technical silos and accelerating innovation. As the petroleum industry evolves toward intelligent, end-to-end workflows powered by real-time analytics and predictive models, DSEA is increasingly recognized not just by IT and data teams, but by engineers, geoscientists, and business leaders alike. It’s where cross-functional collaboration meets cutting-edge technology to shape the future of energy.

Innovative technologies and software solutions are more commonly available, enabling DSEA arena to covert big volumes of data to “smart” data for timely decision making aimed for value generation. Technology maturation, architectural agility, multidisciplinary integrated processes bundled with business focus on right strategic problems, will drive data sciences to accelerate digitalization and aspired business transformation.

The current and the future growing opportunities using AI, automation vs. manual, autonomous processes, predictive analytics for mitigating risks and failures, faster problem solving, targeted simplification – DSEA arena has tremendous potential for unlocking value across the industry with stronger collaboration with all technical disciplines driving the aspired Digital Energy journey.

Join us – Let's focus on top priorities, solve pressing challenges, adopt innovative technical solutions, and together make a difference for world’s growing energy needs.

Our Goals

The DSEA technical section will serve as knowledge sharing and learning forum for all SPE members, from varied disciplines, interested in value creation from data and information leveraging Computing, Data, and Predictive Analytics sciences.  The SPE DSEATS is intended to accelerate and enhance the digital asset life cycle management, given the current business dynamics and enable the future strategic energy transformation aspirations.

The DSEA Technical Section will drive activities focusing on the already established key arenas (refer: SPE Petrowiki taxonomy), namely:

Data Science & Engineering Analytics
I. Information Management and Systems
- Knowledge Management
- Data Integration
- Data Security
- Data Mining
- Metadata Management
- Artificial Intelligence
- Neural Networks
II. Research & Development and Emerging Technology Program
- New Technology Deployment
- New Technology Valuation
- New Technology Funding





Any other Data Science and Analytics related or relevant areas (e.g., Data Quality, Data Standards, Machine Learning, etc.) that are implicitly included within these categories, maybe addressed in the Technical Section. Additionally, any necessary updates will be considered with the DSEA Board team, and with inputs from the DSEA Advisory Board and SPE’s other disciples’ Board teams.

These foundational DSEA technical arenas will be addressed by the DSEA Board team, and with cross collaboration with SPE’s technical disciplines covering end-to-end value chain, predominantly for the Upstream business but also overarchingly across the Energy sector and outside the industry: Reservoir Engineering, Geology/Geophysics, Wells, Geothermal, Sustainability, Zero Carbon Footprint, Digital Twin, etc. supporting Digital and dynamic Energy Transformation aspirations.


 
If you are a professional member and your discussion post says "no data found," you are not a member of this community yet.

Click here to Join.


Message from the Chairperson

SushmaBhan2.jpg
Thank you SPE for the opportunity to serve as SPE’s Data Science & Engineering Analytics (DSEA) Technical Section (TS) Chair.  I deeply appreciate this honor.  I am so delighted to work with our DSEATS board and subcommittee members.  This group includes a diverse array of well-known SPE and industry leaders, recognized experts, and some very talented young professionals. Each brings to the table their own unique set of experiences, multidisciplinary knowhow, and global industry insights. It is personally gratifying to have more women colleagues stepping up to serve and contribute on this board.  

We look forward to working with all SPE technical sections and disciplines using a hub-and-spoke model and having liaisons coordinate activities with the regional chapters.

As digitalization momentum accelerates across our industry (including the evolution of the next-gen digital oil field, more end-to-end process data integration, automation and technology innovations, simpler cross-discipline processes, and increased sustainability focus) the timing is just right for the DSEATS. In the coming months, we aim to break any regional discipline or organizational silos and increase more collaborative efforts, not only within SPE, but also with our academic and industry partners.

Please join our technical section and let’s together make a difference for the increasing energy needs of the world. You can share your ideas for DSEATS program at dsea.spe@gmail.com or contact any of the board members (https://connect.spe.org/dsea/aboutus/sectionofficers).

Looking forward to a very productive, inclusive, and an impactful term.

Pushpesh Sharma


Thank you to our generous ATCE 2025 Technical Section Reception Sponsors!

Latest Discussions

There are no discussions to which you have access

Either the content you're seeking doesn't exist or it requires proper authentication before viewing.

Filtering On: Community

Select date
Calendar
Title and navigation
Title and navigation
<<<December 2025><<
December 2025
SMTWTFS
 123456
78910111213
14151617181920
21222324252627
28293031   
       

Dec, 2025

Sun
Mon
Tue
Wed
Thu
Fri
Sat
Chapter Meeting