Oilfield operations increasingly rely on digital tools to enhance productivity and reduce downtime. Python has become the preferred programming language for engineers due to its flexibility, libraries, and ability to handle complex production data. This course provides a structured path from Python basics to advanced applications such as water cut forecasting, pipeline hydraulics, and interactive dashboards, ensuring participants gain both programming proficiency and production engineering insight.

• Develop Python coding skills tailored for subsurface and production workflows.
  
• Manipulate, filter, and visualize production datasets effectively.
  
• Apply machine learning models to production forecasting and diagnostics.
  
• Build automated reporting pipelines for surveillance and decision support.
  
• Create interactive dashboards for real-time production monitoring.

• Faster, more accurate production analysis through automation.
  
• Improved decision-making with data-driven tools and dashboards.
  
• Reduced operational risk by forecasting water cut, liquid loading, and wellbore integrity.
  
• Standardized and efficient reporting across teams and assets.

• Gain confidence in coding and applying Python to oil and gas problems.
  
• Reduce reliance on manual spreadsheets by building automated workflows.
  
• Improve ability to analyze well behavior and optimize artificial lift.
  
• Strengthen employability with sought-after data and programming skills.

• Reservoir Engineers
  
• Production Engineers
  
• Drilling and Workover Engineers
  
• Geologists and Petrophysicists
  
• Chemical Engineers

On successful completion of this training course, PEA Certificate will be awarded to the delegates