• No results found

Reservoir Multiscale Data Assimilation Using the Ensemble Kalman Filter

N/A
N/A
Protected

Academic year: 2020

Share "Reservoir Multiscale Data Assimilation Using the Ensemble Kalman Filter"

Copied!
16
0
0

Loading.... (view fulltext now)

Full text

Loading

Figure

Figure 1. Schematic illustration of upscaling (not to scale): bold lines indicate a coarse-scale partitioning, while thin lines  show a fine-scale partitioning within coarse-grid cells
Figure 2. Natural logarithm of 50 × 50 true permeability field.
Figure 3. Fractional flow prediction with 256 initial ensemble members (no data assimilation); ensemble members (green
Figure 4. Water cut prediction using assimilated (regular EnKF for 2400 days) ensemble members, note the improved fit of
+6

References

Related documents

• The outgoing traffic from a IPv6 hosts to an IPv4 host may pass through different NAT64s. • Therefore, if uRPF is deployed, some packets may be regarded as suspicious and then

General License D-1 extends beyond the original General License D—which had authorized the exportation to Iran of fee-based services incident to the exchange of

There is a significant difference in organizational culture influence because, in the previous study, the object was government organization (a non-profit

These methods and further extensions have resulted in the established statistical framework called multilevel data analysis [ 10 ], which includes a variety of statistical methods

However, even though the receive power constraint of the served users is considered, there might be cases where at some regions of the multibeam coverage area, the signal power

The objective of this study is to provide an alternative characterization of the optimal value function of a certain Black- Scholes-type optimal stopping problem where the underlying

Cumulative deaths (85-year integration) from all spontaneous neoplasms were 19 273.4, and from radiation-induced neoplasms were 0.5 and 1.3 as calculated by the absolute and

This research proposes a methodological framework for using Latent Dirichlet Allocation to sculpt categories from the natural distribution of contract topics, and assesses