Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Data Assimilation for a Geological Process Model Using the Ensemble
  Kalman Filter   We consider the problem of conditioning a geological process-based computer
simulation, which produces basin models by simulating transport and deposition
of sediments, to data. Emphasising uncertainty quantification, we frame this as
a Bayesian inverse problem, and propose to characterize the posterior
probability distribution of the geological quantities of interest by using a
variant of the ensemble Kalman filter, an estimation method which linearly and
sequentially conditions realisations of the system state to data.
  A test case involving synthetic data is used to assess the performance of the
proposed estimation method, and to compare it with similar approaches. We
further apply the method to a more realistic test case, involving real well
data from the Colville foreland basin, North Slope, Alaska.

1
The categories of this paper are: cs
2
The categories of this paper are: math
13
The categories of this paper are: quant-ph
12
The categories of this paper are: nucl-th
30
The categories of this paper are: q-alg
15
The categories of this paper are: nucl-ex
27
The categories of this paper are: comp-gas
0
The categories of this paper are: hep-ph
7
The categories of this paper are: hep-th
36
The categories of this paper are: cmp-lg
8
The categories of this paper are: hep-ex
21
The categories of this paper are: adap-org
10
The categories of this paper are: q-bio
14
The categories of this paper are: math-ph
20
The categories of this paper are: acc-phys
28
The categories of this paper are: alg-geom