Practical Machine Learning for Oil & Gas: Classification, Prediction & Pattern Recognition

Wishlist Share
Share Course
Page Link
Share On Social Media
Free
Free access this course
  • Intermediate
  • 1 Total Enrolled
  • 1 hour 45 minutes Duration
  • January 28, 2026 Last Updated
  • Enrollment validity: Lifetime
  • Certificate of completion

About Course

Live session is scheduled on 17 March 2026 at 6pm Dubai time.

Master practical machine learning techniques tailored for the oil and gas industry using MathWorks tools. This hands-on session covers regression, classification, and clustering algorithms to predict production rates, optimize well performance, and uncover patterns in reservoir data. You will also learn how other leading companies are using machine learning for enhanced decision-making, risk reduction, and operational efficiency.

What Will You Learn?

  • Regression Algorithms – Learn how to apply linear, robust, and support vector regression models for prediction.
  • Classification Techniques – Understand classification algorithms (decision trees, ensemble methods, SVM).
  • Clustering & Pattern Recognition – Master unsupervised clustering method K-means.
  • Model Evaluation & Performance Metrics – Interpret key performance indicators (R-squared, RMSE, confusion matrices, silhouette scores) to validate model accuracy.
  • Real-World Case Studies & Applications – Explore industry examples including well productivity prediction.

Course Content

Pre-assessment

  • Pre-assessment

Live Session

Post Assessment

Earn a certificate

Add this certificate to your resume to demonstrate your skills & increase your chances of getting noticed.

selected template

Student Ratings & Reviews

No Review Yet
No Review Yet

Want to receive push notifications for all major on-site activities?

✕