|
|
Dr. Margot Gerritsen (Stanford University)
| Speaker: |
Dr. Margot Gerritsen
(Stanford University)
|
| Date: |
Wednesday June 16, 2010
|
| Title: |
A
computational mathematician goes subsurface |
Abstract
|
Subsurface
flow modeling is a mecca for the computational
mathematician. The mathematical modeling, the numerical discretization
and the
inherent uncertainties in the given data all provide challenges.
In this talk, I will focus on a particular subsurface
application in the
energy area: improving oil production, both economically and
environmentally. As
the easier to produce oil reservoirs are declining, the industry moves
towards production
of non-conventional oils. These include very heavy oils that require
thermal or
other stimulation. Of the thermal enhanced oil recovery methods,
in-situ
combustion is particularly attractive. It does not require steam
injection, which
comes with a high carbon footprint. It also tends to upgrade the oil
in-situ. This
improves its economic value and reduces its environmental impact as the
produced oil is cleaner.
In-situ combustion processes can not, as yet, be predicted.
The industry is
fervently trying to improve the prediction capability. I will highlight
the obstacles
computer modelers face, and discuss the research ideas we are
developing to
help advance this field. |
|