Online Live Streaming Course

May 12 to 16, 2025

Duration : 20 hours

Introduction: In the evolving landscape of the oil and gas industry, Data Science and Artificial Intelligence (AI) have become pivotal in enhancing exploration and production efficiency. This course is tailored for petroleum geologists and geophysicists, aiming to equip them with the necessary skills to integrate data-driven methodologies into their workflows. Through a blend of theoretical insights and practical applications, participants will learn to harness data analytics and AI to solve complex geoscientific challenges.

Objectives:

• Introduce fundamental concepts of Data Science and AI relevant to geosciences.
• Develop proficiency in data analysis and visualization using industry-standard tools.
• Apply machine learning techniques to geological and geophysical datasets.
• Enhance decision-making in exploration and production through predictive modeling.
• Foster interdisciplinary collaboration between data scientists and geoscience professionals.

Target Audience: This course is designed for petroleum geologists, geophysicists, reservoir engineers, and other geoscience professionals seeking to incorporate data science and AI into their practices. No prior experience in programming or data analytics is required, though a basic understanding of geoscientific principles is beneficial.

Course Topics:

• Introduction to Data Science and AI in Geosciences:
  • Overview of data science and AI concepts.
  • Significance in the oil and gas sector.
  • Case studies highlighting successful applications.
• Data Analysis and Visualization:
  • Data types and sources in geosciences.
  • Utilizing Python for data manipulation and visualization.
  • Exploratory data analysis techniques.
• Machine Learning Fundamentals:
  • Supervised vs. unsupervised learning.
  • Key algorithms: regression, classification, clustering.
  • Model evaluation and validation.
• Application of Machine Learning in Geology and Geophysics:
  • Predictive modeling for reservoir properties.
  • Seismic data interpretation using AI.
  • Facies classification and lithology prediction.
• Advanced Topics:
  • Deep learning applications in geosciences.
  • Integrating AI with geological modeling software.
  • Ethical considerations and data governance.
• Practical Workshops:
  • Hands-on sessions with real-world datasets.
  • Building and deploying machine learning models.
  • Collaborative projects simulating industry scenarios.

Methodology: The course combines lectures, interactive discussions, and practical workshops. Participants will engage in hands-on exercises using real datasets to reinforce learning objectives. Collaborative projects will simulate real-world challenges, fostering teamwork and practical application of concepts.

Prerequisites: A foundational understanding of petroleum geology and geophysics is recommended. While prior programming experience is not mandatory, familiarity with basic mathematical and statistical concepts will be advantageous.

This course aims to bridge the gap between traditional geosciences and modern data-driven approaches, empowering professionals to leverage AI and Data Science in their exploration and production endeavors.