Sammendrag
Petroleum reservoirs are typically located deep in the earth where
direct observations are expensive and sparse. The amount of
indirect data that can be collected from the surface and from well
locations, however, is massive. Using all data effectively to forecast
future behavior under different constraints is a challenge, as is
quantifying the uncertainty in those forecasts. I will survey the
types of data that may be collected, and the relationships of those
observations to properties of the subsurface. I will also discuss
methods for assimilating data into models for forecasting, methods
for estimating uncertainty in forecasts and model parameters, and
methods for optimizing the expected value of a cost function.
During the talk, i will try to identify limitations in current
methodologies. Many of the challenges in control of petroleum
reservoirs are closely related to problems of underground
sequestration of co2 and removal of pollutants from aquifers.
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