Why Choose this Training Course

This highly practical data science training course is designed to equip Oil & Gas professionals with a thorough introduction to essential machinlearning methods and a solid hands-on experience in data science and machine learning applications.

Throughout this data science training, participants will acquire comprehensive knowledge and develop practical skills necessary for integrating data science and machine learning into their daily work. By mastering these techniques, participants will improve efficiency and effectiveness in both current and future projects, ultimately leading to significant improvements in overall performance and substantial value creation for their companies.

Who Should Attend

Geologists, petrophysicists, reservoir engineers, production engineers, drilling engineers and other Oil & Gas professionals keen to obtain a fundamental understanding and practical skills in Machine Learning and Data Science.

Prerequisite:

• Participants should have strong upstream domain knowledge and at least 5 years of experience.
• Prior programming experience (Python) is an advantage. Recommended pre-reading material on Python can be provided upon request.

Key Learning Objectives

• Comprehensive Introduction: Gain a foundational understanding of both supervised and unsupervised learning algorithms, including advanced topics such as deep learning and model explainability.
• Hands-On Experience: Build practical skills through detailed, step-by-step guidance on applying various machine learning methods to real-world Oil & Gas problems.
• Confidence Building: Start with simple, clear explanations of each method, gradually progressing to more complex applications and techniques.
• Capability enhancement: Learn how to implement the knowledge gained, using carefully crafted code examples that can be directly applied to ongoing and future projects, enhancing overall performance.
• Business impact assessment: Develop the ability to identify actual Oil & Gas industry challenges and solve them
  effectively by leveraging Machine Learning and Data Science methods.

Enquiry Form