Replication Data for: Uncertainty propagation through a point model for steady-state two-phase pipe flow (doi:10.18710/OWKABR)

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Part 2: Study Description
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Document Description

Citation

Title:

Replication Data for: Uncertainty propagation through a point model for steady-state two-phase pipe flow

Identification Number:

doi:10.18710/OWKABR

Distributor:

DataverseNO

Date of Distribution:

2020-01-30

Version:

2

Bibliographic Citation:

Strand, Andreas, 2020, "Replication Data for: Uncertainty propagation through a point model for steady-state two-phase pipe flow", https://doi.org/10.18710/OWKABR, DataverseNO, V2

Study Description

Citation

Title:

Replication Data for: Uncertainty propagation through a point model for steady-state two-phase pipe flow

Identification Number:

doi:10.18710/OWKABR

Authoring Entity:

Strand, Andreas (NTNU – Norwegian University of Science and Technology)

Other identifications and acknowledgements:

Smith, Ivar Eskerud

Other identifications and acknowledgements:

Unander, Tor Erling

Other identifications and acknowledgements:

Steinsland, Ingelin

Other identifications and acknowledgements:

Hellevik, Leif Rune

Producer:

NTNU – Norwegian University of Science and Technology

SINTEF Industry

Equinor

Software used in Production:

Python

Grant Number:

267620

Distributor:

DataverseNO

Distributor:

NTNU – Norwegian University of Science and Technology

Access Authority:

Strand, Andreas

Depositor:

Strand, Andreas

Date of Deposit:

2020-01-20

Holdings Information:

https://doi.org/10.18710/OWKABR

Study Scope

Keywords:

Engineering, Mathematical Sciences, Physics, two-phase flow, unit cell, uncertainty quantification, sensitivity analysis, monte carlo, polynomial chaos

Abstract:

Code and data for performing uncertainty quantification and sensitivity analysis of a multiphase flow model. The software computes the uncertainty in model predictions in the presence of uncertain input variables. The analysis also determines which variables the predictions are sensitive two. Both Monte Carlo simulations and polynomial chaos expansions are implemented.

Kind of Data:

Source code

Methodology and Processing

Sources Statement

Data Access

Other Study Description Materials

Related Publications

Citation

Title:

Uncertainty propagation through a point model for steady-state two-phase pipe flow. Andreas Strand, Ivar E. Smith, Tor E. Unander, Ingelin Steinsland and Leif R. Hellevik. Algorithms 2020, 13, 53.

Identification Number:

10.3390/a13030053

Bibliographic Citation:

Uncertainty propagation through a point model for steady-state two-phase pipe flow. Andreas Strand, Ivar E. Smith, Tor E. Unander, Ingelin Steinsland and Leif R. Hellevik. Algorithms 2020, 13, 53.

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00_ReadMe.txt

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mc.py

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mc_functions.py

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mc_input.py

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pc.py

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pc_functions.py

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pc_input.py

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pc_setup.py

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plot_functions.py

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pointmodel.py

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requirements.txt

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