History Matching and Conditioning Reservoir Models to Dynamic Data
Disciplines: Management | Reservoir
This course explores ways to incorporate production data into high-resolution reservoir models, using both conventional and fast-flow simulation techniques. 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 be covered. Field applications from various parts of the world will be discussed to illustrate the current state of the art, its advantages, and its limitations.
- Background and theory of production data integration
- Streamline approach to flow simulation through geologic models
- Streamline-based production data integration
- Assisted history matching/inverse modeling with finite difference models
- Experimental design background and applications
- Recent developments in EnKF and MCMC history matching methods
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.
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) are awarded for this 1-day course.
All cancellations must be received no later than 14 days prior to the course start date. Cancellations made after the 14-day window will not be refunded. Refunds will not be given due to no show situations.
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SPE reserves the right to cancel or re-schedule courses at will. Notification of changes will be made as quickly as possible; please keep this in mind when arranging travel, as SPE is not responsible for any fees charged for cancelling or changing travel arrangements.
We reserve the right to substitute course instructors as necessary.
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.