Introduction to Distributed Temperature Sensing (DTS)
This course is an introduction to the emerging technology of Distributed Temperature Sensing (DTS), and a historic look at the reasons behind the need for DTS and its usage to date. The course looks at how DTS technology has been applied and the reasons behind applying this technology. Such systems have found application in high-cost horizontal and multilateral wells where reentry with a logging tool is difficult if not impossible. A hands-on demonstration is included in the class.
- Fiber-optic technology for DTS measurements
- Typical installations and recordings
- Oil well installations and hardware
- Application and interpretation of DTS in oil and gas wells
- Quality control
- A demonstration of Plato software
The science behind DTS and its applications are still emerging. If you are looking ways to improve analysis
of well performance, this course is for you.
Who Should Attend
This course is for petroleum engineers, geologists and anyone else interested in learning more about DTS and the latest advances in the technology.
0.8 CEUs (Continuing Education Units) awarded for this 1-day course.
To receive a full refund, all cancellations must be received in writing no later than 14 days prior to the course start date. Cancellations made after the 14-day window will not be refunded. Send cancellation requests by email to firstname.lastname@example.org; by fax to +1.866.460.3032 (US) or +1.972.852.9292 (outside US); or mail to SPE Registration, PO Box 833836, Richardson, TX 75083.
James J. Smolen has more than 30 years of experience in cased hole well logging, applications, related research, and training. He began in the oil industry in 1970 with Schlumberger and since 1980, has been an officer and director of Petroleum Computing, as well as an international consultant and trainer. He has numerous publications to his credit, including the 1996 PennWell text, Cased Hole and Production Log Evaluation. Smolen was a Distinguished Lecturer for SPE and SPWLA. He holds a BS from Northwestern University, and earned his MS and PhD degrees from the University of California, Berkeley.