History Matching and Conditioning Reservoir Models to Dynamic Data
This course explores ways to incorporate production data into high-resolution reservoir models using both conventional and fast-flow simulation techniques, and it examines the merits of various history matching workflows practiced in the industry. Both assisted history matching and automatic history matching (inverse modeling) techniques will also be covered. Field applications from various parts of the world will be discussed to illustrate the current state of the art, its advantages, and limitations.
- Production data integration: Background and theory
- Flow simulation through geologic models: Streamline approach
- Streamline-based production data integration
- Assisted history matching/inverse modeling with finite difference models
- Experimental design: Background and applications
- History Matching: Some recent developments (EnKF and MCMC)
Why You Should Attend
This course offers unique access to one of the industry’s leading contributors in the field of fast-flow simulation methods and integration of dynamic data into high-resolution geologic models.
Who Should Attend
This course is intended for engineers, geologists, and geophysicists interested in reservoir characterization, reservoir management/optimization and history matching of geologic models.
Attendees should bring a laptop computer to follow along with software exercises. Some background in reservoir engineering and numerical simulation is helpful but not required.
0.8 CEUs (Continuing Education Units) awarded for this 1-day course.
The SPE online bookstore has titles that cover the topic of history matching and conditioning reservoir models to dynamic data. SPE members get a discount on all purchases.
Reservoir Simulation (monograph)
Basic Applied Reservoir Simulation (textbook)
Streamline Simulation (textbook)
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.
For more details, please contact us at email@example.com.
Akhil Datta-Gupta is professor and holder of the LeSuer endowed chair in petroleum engineering at Texas A&M University in College Station, Texas. He has also worked for BP Exploration/Research and for the Lawrence Berkeley National Laboratory. In 2009, Datta-Gupta received the John Franklin Carll Award from SPE for distinguished contribution in the application of engineering principles to petroleum development and recovery. He also received SPE’s 2003 Lester C. Uren Award for significant technical contributions in petroleum reservoir characterization and streamline-based flow simulation. He is an SPE Distinguished Member (2001), Distinguished Lecturer (1999-2000), Distinguished Author (2000), and was selected as Outstanding Technical Editor (1996). Datta-Gupta earned his PhD from the University of Texas at Austin.