This one-day course will provide overview on Artificial Lift and Real-Time Optimization in Digital Oilfield. 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.
| Code | Date | Location | price (€)* |
|---|---|---|---|
| DAT 606 | 11 Jul 2024 | Online | 450 |
| DAT 606 | 13-14 Nov 2024 | Online | 450 |
* Prices are subject to VAT and local terms. Ph.D. students, groups (≥ 3 persons) and early bird registrants (8 weeks in advance) are entitled to a DISCOUNT!
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 oil fields. This one-day course will provide overview on Artificial Lift and Real-Time Optimization in Digital Oilfield. 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 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.
Dr. Rajan Chokshi works as an artificial lift and production ‘Optimizer’ for Accutant Solutions, a consulting firm out of Houston, USA. He has over 34 years of experience working with a national oil company, research consortia, consulting and software firms, and a service company in various roles from engineer, software developer, project manager, trainer, consultant, and a senior business leader. Dr. Chokshi has worked on projects globally in the areas of multi-phase flow, artificial lift, production webinars and trainings, Dr. Chokshi continues to conduct workshops for practicing professionals globally in SPE and private forums. As an adjunct faculty, he has taught at Texas Tech, Missouri S&T, U of Southern California, and continues to teach at the U of Houston. He has served on various SPE committees like production & facilities advisory, global training and production awards. He is incoming chair of awards & recognition committee. He was co-chair of an SPE artificial lift workshop, and is co-chair of SPE forum on production issues in unconventional. He has been selected twice as an SPE Distinguished Lecturer for the 20152016 and 2018-2019 years.
o Anyone interested in learning about what digital oilfield means for artificial lift and product optimization
o Production, reservoir, completion, drilling and facilities engineers
o Project and asset managers interested in improving performance of their assets.
o Intermediate to Advanced
o This course will help trainees understand and appreciate related aspects while providing them applicable solution paths.
Registration is now OPEN!
* Prices are subject to VAT and local terms. Ph.D. students, groups (≥ 3 persons) and early bird registrants (8 weeks in advance) are entitled to a DISCOUNT!
For more details and registration please send email to: register@petro-teach.com
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