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Society of Petroleum Engineers, South Australia | Events | Event Details | SPE-SA Applied Data Analytics Course
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SPE-SA Applied Data Analytics Course

Event Details
Event Date 19th Feb 2026 to 20th Feb 2026
Time 8:30 or 9AM start
 
Registration Details
Closing Date 6th Feb 2026
Registrations Available 25
SPE Member $950.00 ea
Students $800.00 ea
General $1250.00 ea
Register Now!
Description

Thursday 19- Friday 20th February

Adelaide University

8:30 for 9:00 start

$950 Members

$80 Students

$1250 Non-Members

RSVP by COB 6th February

This course introduces the theory and fundamentals of machine learning and data analytics techniques. This is a hands-on course and participants will apply data analytics and machine learning methods using real field examples.

The course covers the following topics with specific applications and examples in petroleum engineering:

  • Overview of Data Analytics
  • Introduction to programming – Python
  • Supervised and Unsupervised Machine Learning Machine Learning
  • Dimensionality reduction and feature extraction techniques
  • Classification techniques
  • Predictive models

Who should attend

This course is for reservoir and production engineers, geologists and geophysicists interested in exploring the field of Data Analytics and would like to learn to implement different data analytics and machine learning techniques on large data sets.

No previous programming experience is required.

Instructor Biography

Associate Professor ZeiniJahromi is Chevron Associate Professor in Carbon Storage Engineering and the Discipline Lead of Mining & Petroleum Engineering at the University of Adelaide. He is an expert in mathematical modelling and experimental studies of multi-phase fluid flow in porous media, with applications in a wide range of fields including energy, underground gas storage (CO2 and hydrogen), agriculture, environment, mining, and hydrology. Currently, he holds the position of Chevron Associate Professor in Carbon Storage Engineering.

He holds a BEng in Production Engineering, an MSc in Reservoir Engineering, and a PhD in Petroleum Engineering. With over 15 years of teaching experience, he currently teaches the course Data Analytics in the Oil and Gas Industry at the University of Adelaide.

Associate Professor ZeiniJahromi has authored more than 120 peer-reviewed publications, including journal articles, book chapters, and conference papers.

Venue
Venue Adelaide University
Address North Terrace
 
Contact
Email functions@spe-sa.org