This one-day course is designed to give trainees an overview of artificial lift issues and production optimization. With the increasing need to optimize dynamic production in highly constrained cost environments, opportunities and issues related to real-time measurements and optimization techniques needs to be discussed and understood. Besides introducing participants to the basics of artificial lift and real-time measurements, the training addresses how digital oilfield tools help address these challenges. Artificial lift selection and life cycle analysis are covered. Recent advances in real-time approaches to the production monitoring and lift management are also discussed using field case studies. The course closes with a session wherein trainees would discuss their challenges and plans for production using digital oilfield.
Who should attend?
- Anyone interested in learning about what digital oilfield means for artificial lift and product optimization
- Production, reservoir, completion, drilling and facilities engineers
- Project and asset managers interested in improving performance of their assets.
Learning Objectives (Why You Should Attend?)
Current pricing scenario and related cost savings and efficiency improvement drivers demand that existing assets are utilized to the fullest extent. Digital oilfield tools and techniques have been proven to address and solve optimization challenges in conventional as well as unconventional production. These toolset is a must to manage highly dynamic production short- as well as medium- to long-term. Besides more common surface controls and related remote management approaches, the production dynamics requires us to rethink about application of real-time downhole and surface sensing. Software tools available to analyze field data are inadequate. This course will help trainees understand and appreciate these aspects while providing them applicable solution paths.
Prerequisites:
- Understanding of petroleum production concepts. Attendees should have petroleum engineering background or at least five years of working experience in the industry.
Course level:
- Intermediate to Advanced level
Course contents
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Basics of Artificial Lift and Production Optimization
- Lift Life Cycle and Elimination process
- Specific Lift management challenges
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What is Digital Oilfield
- Wellsite tools
- Desktop tools
- Application case studies
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Real-time Downhole Measurements for optimization
- Available Technologies
- Role of software in visualization, analysis and surveillance
- Application case studies