Event Detail

Event Type: 
Applied Mathematics and Computation Seminar
Monday, April 28, 2014 - 05:00 to 06:00
MLM 234

Speaker Info

Stanford University, Institute for Computational and Mathematical Engineering

Large scale production of very heavy oil is gaining momentum because of the decline of easy to produce reservoirs, the increasing oil demand and subsequent rising oil price, which makes such resources more economical. Considering the pressure on the oil market and our still very heavy dependence on oil, this move to heavy oil production seems inevitable.
Typically, heavy oil reservoirs are stimulated thermally. Injecting steam that is generated at the surface is not always viable or desirable. An alternative technique for production is In-Situ Combution (ISC) where a steam drive is generated in the reservoir itself. In this process, (enriched) air is injected in the reservoir. After ignition a combustion front develops in-situ that burns a small percentage of the oil in place and slowly moves through the reservoir producing steam along the way. A side benefit of this process is that the heat thus generated often cracks the oil into heavy, undesirable components (the ?guck?) that stay behind in the reservoir and lighter, more valuable components that can be brought up to the surface. Performance prediction of ISC projects is rather tricky and poses many computational challenges. In this talk I?ll discuss our work in ISC simulation, which is centered around the design of upscaling methods for kinetics and critical reservoir heterogeneities supported by laboratory experimentation.

Margot is an Associate Professor at Stanford University in the Department of Energy Resources Engineering. She is also the director of the Institute for Computational & Mathematical Engineering at Stanford. Margot received her PhD from Stanford in Scientific Computing in 1996. After 5 years in New Zealand, she returned to Stanford in 2001. Margot's main interests are in computational mathematics and fluid dynamics. She has worked in oil and gas reservoir simulation, sail design optimization, coastal ocean flow dynamics and tidal energy, amongst others.

At Stanford, she teaches courses in numerical analysis, numerical linear algebra, reservoir simulation and renewable energy processes. Margot left her home country of The Netherlands in search of sunnier and hillier places and spends her free time roaming hills with her son and dog.