Abstract
This work focuses on the development of a new method for history matching problem that through a deterministic search finds a geologically feasible solution. Complex geology is taken into account
evaluating multiple point statistics from earth model prototypes - training images. Further a function that measures similarity between statistics of a training image and statistics of any smooth model is introduced and its analytical gradient is computed. This allows us to apply any gradientbased method to history matching problem and guide a solution until it satisfies both production data and complexity of a prior model with desired accuracy. As a consequence of the approach, we sufficiently decrease the amount of forward simulations needed to resolve historical data and prior information.
evaluating multiple point statistics from earth model prototypes - training images. Further a function that measures similarity between statistics of a training image and statistics of any smooth model is introduced and its analytical gradient is computed. This allows us to apply any gradientbased method to history matching problem and guide a solution until it satisfies both production data and complexity of a prior model with desired accuracy. As a consequence of the approach, we sufficiently decrease the amount of forward simulations needed to resolve historical data and prior information.
| Original language | English |
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| Publication date | 2012 |
| Number of pages | 5 |
| Publication status | Published - 2012 |
| Event | EAGE Integrated Reservoir Modelling: Are we doing it right? - Dubai, United Arab Emirates Duration: 25 Nov 2012 → 28 Nov 2012 |
Conference
| Conference | EAGE Integrated Reservoir Modelling: Are we doing it right? |
|---|---|
| Country/Territory | United Arab Emirates |
| City | Dubai |
| Period | 25/11/2012 → 28/11/2012 |