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AI/ML Analyst: Machine Learning in Oil & Gas Operations

Introduction:

In the era of digital transformation, the oil and gas industry increasingly relies on Artificial Intelligence (AI) and Machine Learning (ML) to enhance operational efficiency, predict failures, and reduce costs.
This program is designed to provide an in-depth understanding of how AI/ML technologies can be used to analyze operational data and make smart, data-driven decisions.

Who Should Attend:

  • Petroleum and production engineers
  • Data analysts in the energy sector
  • Technical project managers
  • Digital transformation specialists
  • Engineering or computer science students and graduates interested in the oil sector
  • Anyone interested in AI technologies in industrial applications
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Course Contents:

Day 1: Introduction to AI and Machine Learning

  • Differences between AI, ML, and Deep Learning
  • General applications of AI
  • How AI can transform the future of energy ⚡

Day 2: Data in the Oil and Gas Sector

  • Types of data (exploration, production, maintenance, safety)
  • How data is collected and stored
  • Basics of data preprocessing

Day 3: Machine Learning Algorithms

  • Supervised and unsupervised learning
  • Regression & Classification techniques
  • Popular algorithms like Decision Trees, Random Forest, and SVM

Day 4: Practical Applications in Oil & Gas

  • Predictive maintenance of equipment
  • Well production optimization
  • Oil and gas leakage analysis
  • Real-world case studies

Day 5: Projects and Advanced Tools

  • Introduction to tools like Python, TensorFlow, and Power BI
  • Building a simple model using real data
  • Future challenges in the field
  • Open discussion

 

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