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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

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