Abstract

Data from the distributed control system (DCS) or supervisory control and data acquisition (SCADA) system provide useful information critical to the evaluation of the performance and transportation efficiency of a gas pipeline system with compressor stations. The pipeline performance data provide correction factors for compressors as part of the operation optimization of natural gas transmission pipelines. This paper presents methods, procedures, and an example of model validation-based performance analysis of a gas pipeline based on actual system operational data. An analysis approach based on statistical methods is demonstrated with actual DCS gas pipeline measurement data. These methods offer practical ways to validate the pipeline hydraulics model using the DCS data. The validated models are then used as performance analysis tools in assessing the pipeline hydraulics parameters that influence the pressure drop in the pipeline such as corrosion (inside diameter change), roughness changes, or basic sediment and water deposition.

References

1.
Cheng
,
D.
, and
Arce
,
M. A.
,
2018
, “
Performance Testing Data Interpretation Using Markov Chain Monte Carlo Methods for a Natural Gas Transmission Pipeline With Compressor Station
,”
Pipeline Simulation Interest Group Annual Conference
, Deer Valley, UT, May 15–18, Paper No.
PSIG-1809
.https://www.onepetro.org/conference-paper/PSIG-1809
2.
Cheng
,
D.
,
Arce
,
M.
, and
Portillo
,
R.
,
2017
, “
Simulation Based Performance Test of a Natural Gas Transmission Pipeline With Compressor Station
,”
Pipeline Simulation Interest Group Annual Conference
, Atlanta, GA, May 9–12, Paper No.
PSIG-1712
.https://www.onepetro.org/conference-paper/PSIG-1712
3.
Kaliatka
,
A.
,
Uspuras
,
E.
, and
Vaisnoras
,
M.
,
2006
, “
Uncertainty and Sensitivity Analysis of Parameters Affecting Water Hammer Pressurewave Behavior
,”
Kerntechnik
,
71
(
5–6
), pp.
270
278
.
4.
Brooks
,
S.
,
Gelman
,
A.
,
Jones
,
G.
, and
Xiao-Li
,
M.
,
2011
,
Handbook of Markov Chain Monte Carlo
,
CRC Press
,
Boca Raton, FL
.
5.
Dixit
,
A. K.
, and
Pindyck
,
R. S.
,
1994
,
Investment Under Uncertainty
,
Princeton University Press
,
Princeton, NJ
.
You do not currently have access to this content.