AWARDS
Top 3 finalists: All-paid internship at KFUPM and nearby industry research centers.
First-place winner(s): Travel to an international conference on ML
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 graduate 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
