From Data to Decisions
Bridging the gap with Machine Learning
KFUPM – Dhahran - 2025
Machine Learning Competition
Challenges
This competition seeks innovative machine learning solutions to address core
challenges in oil & gas, mining engineering, and exploration. Each sector’s
unique
demands are tackled through predictive modelling and advanced data analysis,
aiming
to boost operational efficiency and decision-making capabilities.
Eligibility:
The competition is open to students and post-docs.
All majors welcome – no prior oil & gas or geological experience required.
Overview
1 Oil & Gas
Develop models to predict oil flow rates and detect anomalies in operational data for optimized production.
2 Mining
Create models for mineral identification and characterization, leveraging complex geological datasets.
3 Exploration
Restore missing seismic traces to improve subsurface continuity and support accurate geological exploration.
Important Details
Competition Logistics
Group Size: 1 or 2 participants per team.
Submission: Private GitHub repo link.
Presentations: Virtual via Zoom.
Timeline
Registration Closes: Nov 20,
2024
Dispatch Problem Details: Nov 20, 2024
Submission Deadline: Dec 20, 2024
Finalists Notification by: Jan 20, 2025
Presentation Date: Feb 8, 2025