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Erschienen in:
24.08.2016 | Erratum
Erratum to: Characterizing interwell connectivity in waterflooded reservoirs using data-driven and reduced-physics models: a comparative study
Erschienen in: Neural Computing and Applications | Ausgabe 7/2017
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Excerpt
Unfortunately, in the original published article, Accuracy subsection of Section 3.2, Table 4 and Table 5 were not correct. The correct text for the Accuracy subsection and Tables 4 and 5 are given below.
Table 4
Characteristics of data-driven and reduced-physics modeling approaches in various aspects
|
Data-driven modeling (ANN)
|
Reduced-physics modeling (CRM)
|
|
|---|---|---|
|
Accuracy (based on the specific example presented in this study and a qualitative field-wide comparison)
|
80 %
|
70 %
|
|
Accuracy (based on the specific example presented in this study and a quantitative injector-based comparison)
|
Correlation coefficient = 0.84
|
Correlation coefficient = 0.86
|
|
Data requirements
|
Flexible
|
Fixed
|
|
Modeling approach
|
Flexible data-driven model
|
Physics-based, include assumptions
|
|
Training algorithm
|
Flexible
|
Flexible
|
|
Training speed
|
Fast
|
Fast
|
|
Expertise requirements
|
Moderate
|
Moderate
|
|
To develop the tool
|
ANN background needed
|
Reservoir eng. background needed
|
|
To train
|
ANN background needed
|
Optimization knowledge (for fine-tuning)
|
Table 5
List of connectivity values from the numerical, data-driven and reduced-physics models
|
Well pair
|
Connectivity (based on qualitative, field-wide comparison)
|
Connectivity (based on quantitative, injector-based comparison)
|
||||||
|---|---|---|---|---|---|---|---|---|
|
No.
|
Injector
|
Producer
|
Numerical
|
Data-driven
|
Reduced-physics
|
Numerical
|
Data-driven
|
Reduced-physics
|
|
1
|
I1
|
P1
|
1.000
|
1.000
|
1.000
|
0.694
|
0.572
|
0.990
|
|
2
|
I2
|
P1
|
0.233
|
0.117
|
0.548
|
0.345
|
0.119
|
0.553
|
|
3
|
I3
|
P1
|
0.169
|
0.206
|
0.057
|
0.146
|
0.178
|
0.053
|
|
4
|
I4
|
P1
|
0.104
|
0.239
|
0.117
|
0.155
|
0.122
|
0.122
|
|
5
|
I5
|
P1
|
0.104
|
0.213
|
0.126
|
0.155
|
0.169
|
0.126
|
|
6
|
I1
|
P2
|
0.233
|
0.250
|
0.002
|
0.162
|
0.143
|
0.002
|
|
7
|
I2
|
P2
|
0.104
|
0.177
|
0.003
|
0.155
|
0.181
|
0.003
|
|
8
|
I3
|
P2
|
0.169
|
0.205
|
0.010
|
0.146
|
0.177
|
0.009
|
|
9
|
I4
|
P2
|
0.233
|
0.903
|
0.178
|
0.345
|
0.462
|
0.186
|
|
10
|
I5
|
P2
|
0.104
|
0.239
|
0.001
|
0.155
|
0.190
|
0.001
|
|
11
|
I1
|
P3
|
0.104
|
0.293
|
0.003
|
0.072
|
0.168
|
0.003
|
|
12
|
I2
|
P3
|
0.233
|
0.521
|
0.137
|
0.345
|
0.532
|
0.138
|
|
13
|
I3
|
P3
|
0.169
|
0.184
|
0.033
|
0.146
|
0.159
|
0.031
|
|
14
|
I4
|
P3
|
0.104
|
0.373
|
0.001
|
0.155
|
0.191
|
0.001
|
|
15
|
I5
|
P3
|
0.233
|
0.402
|
0.106
|
0.345
|
0.319
|
0.106
|
|
16
|
I1
|
P4
|
0.104
|
0.204
|
0.005
|
0.072
|
0.117
|
0.005
|
|
17
|
I2
|
P4
|
0.104
|
0.165
|
0.303
|
0.155
|
0.168
|
0.306
|
|
18
|
I3
|
P4
|
0.651
|
0.561
|
0.974
|
0.563
|
0.485
|
0.907
|
|
19
|
I4
|
P4
|
0.233
|
0.438
|
0.662
|
0.345
|
0.224
|
0.691
|
|
20
|
I5
|
P4
|
0.233
|
0.405
|
0.766
|
0.345
|
0.322
|
0.767
|