Abstract

In this paper, a risk analysis method of gas pipeline in karst area based on the integrated model of the decision-making trial and evaluation laboratory–interpretive structural model (DEMATEL– ISM) method and the cross-impact matrix multiplication applied to classification (MICMAC) method is proposed. Based on causal chain theory and crossed track theory, the composite causal model of accidents is established from four dimensions of human, material, environment, and management. Based on the DEMATEL–ISM method, the hierarchical structure and causal relationship between risk factors are analyzed from the perspective of chain evolution, and the surface direct cause, middle indirect cause, and deep root cause of accidents are investigated. The MICMAC method is used to analyze the dependence degree and driving force of multivariate risk factors, and all factors are divided into four clusters: the independent cluster, the dependent cluster, the linkage cluster, and the spontaneous cluster. The work presented in this paper can provide a reference for the safety management and accident prevention of gas pipelines crossing the karst area.

References

1.
Witek
,
M.
,
Batura
,
A.
,
Orynyak
,
I.
, and
Borodii
,
M.
,
2018
, “
An Integrated Risk Assessment of Onshore Gas Transmission Pipelines Based on Defect Population
,”
Eng. Struct.
,
173
, pp.
150
165
.10.1016/j.engstruct.2018.06.092
2.
Li
,
Q. C.
, and
He
,
S.
,
2021
, “
Research on Effect Factors of Mechanical Response of Cross-Fault Buried Gas Pipeline Based on Fluid-Structure Interaction
,”
ASME J. Pressure Vessel Technol.
,
143
(
6
), p.
061402
.10.1115/1.4051366
3.
Cui
,
F. P.
,
Xiong
,
C.
,
Wu
,
Q.
,
Li
,
B.
,
Luo
,
W.
, and
Pei
,
Y. Q.
,
2023
, “
Dynamic Mechanism Triggering an Underground-Mining-Induced Landslide in Karst Mountains, Southwest China
,”
Bull. Eng. Geol. Environ.
,
82
(
12
), p.
449
.10.1007/s10064-023-03475-y
4.
Wang
,
X. W.
, and
Xu
,
Y. S.
,
2022
, “
Investigation on the Phenomena and Influence Factors of Urban Ground Collapse in China
,”
Nat. Hazards
,
113
(
1
), pp.
1
33
.10.1007/s11069-022-05304-z
5.
Badida
,
P.
,
Balasubramaniam
,
Y.
, and
Jayaprakash
,
J.
,
2019
, “
Risk Evaluation of Oil and Natural Gas Pipelines Due to Natural Hazards Using Fuzzy Fault Tree Analysis
,”
J. Nat. Gas Sci. Eng.
,
66
, pp.
284
292
.10.1016/j.jngse.2019.04.010
6.
Li
,
F.
,
Wang
,
W. H.
,
Dubljevic
,
S.
,
Khan
,
F.
,
Xu
,
J.
, and
Yi
,
J.
,
2019
, “
Analysis on Accident-Causing Factors of Urban Buried Gas Pipeline Network by Combining DEMATEL, ISM and BN Methods
,”
J. Loss Prev. Process Ind.
,
61
, pp.
49
57
.10.1016/j.jlp.2019.06.001
7.
Qin
,
G. J.
,
Li
,
R. L.
,
Yang
,
M.
,
Wang
,
B. H.
,
Ni
,
P. G.
, and
Wang
,
Y. H.
,
2024
, “
Failure Probability Estimation of Natural Gas Pipelines Due to Hydrogen Embrittlement Using an Improved Fuzzy Fault Tree Approach
,”
J. Cleaner Prod.
,
448
, p.
141601
.10.1016/j.jclepro.2024.141601
8.
Medeiros
,
C. P.
,
Alencar
,
M. H.
, and
de Almeida
,
A. T.
,
2017
, “
Multidimensional Risk Evaluation of Natural Gas Pipelines Based on a Multicriteria Decision Model Using Visualization Tools and Statistical Tests for Global Sensitivity Analysis
,”
Reliab. Eng. Syst. Saf.
,
165
, pp.
268
276
.10.1016/j.ress.2017.04.002
9.
Hong
,
W. B.
, and
Sheng
,
W.
,
2023
, “
A DEMATEL-ISM-BN Model of Mine Water Inrush Accidents
,”
Mine Water Environ.
,
42
(
1
), pp.
178
186
.10.1007/s10230-022-00907-1
10.
Chen
,
J. K.
,
2021
, “
Improved DEMATEL-ISM Integration Approach for Complex Systems
,”
PloS One
,
16
(
7
), p.
e0254694
.10.1371/journal.pone.0254694
11.
Mkedder
,
N.
, and
Das
,
M.
,
2024
, “
Metaverse Integration Challenges: An In-Depth ISM and MICMAC Analysis
,”
J. Retail. Consum. Serv.
,
77
, p.
103684
.10.1016/j.jretconser.2023.103684
12.
Dixit
,
C.
, and
Kumar
,
R.
,
2024
, “
Analyzing Managerial and Technological Barriers to the Adoption of Industry 4.0: An ‘ISM’ and ‘MICMAC’ Approach
,”
IEEE Trans. Eng. Manage.
,
71
, pp.
3389
3401
.10.1109/TEM.2023.3343527
13.
Li
,
Q. C.
, and
Chen
,
J. H.
,
2023
, “
Research on Effect Factors of Mechanical Response of Polyethylene Gas Pipeline in Karst Area Based on Element Birth and Death Technique
,”
ASME J. Pressure Vessel Technol.
,
145
(
5
), p.
054501
.10.1115/1.4062972
14.
Demirci
,
H. E.
,
Karaman
,
M.
, and
Bhattacharya
,
S.
,
2021
, “
Behaviour of Buried Continuous Pipelines Crossing Strike-Slip Faults: Experimental and Numerical Study
,”
J. Nat. Gas Sci. Eng.
,
92
, p.
103980
.10.1016/j.jngse.2021.103980
15.
Jung
,
J. K.
,
O'Rourke
,
T. D.
, and
Argyrou
,
C.
,
2016
, “
Multi-Directional Force-Displacement Response of Underground Pipe in Sand1
,”
Can. Geotech. J.
,
53
(
11
), pp.
1763
1781
.10.1139/cgj-2016-0059
16.
Zhu
,
B. K.
,
Yang
,
X.
,
Wang
,
J.
,
Shao
,
C. H.
,
Li
,
F.
,
Hong
,
B. Y.
,
Song
,
D. B.
, and
Guo
,
J.
,
2022
, “
Third-Party Damage Model of a Natural Gas Pipeline Based on a Bayesian Network
,”
Energies
,
15
(
16
), p.
6067
.10.3390/en15166067
17.
Seiti
,
H.
,
Makui
,
A.
,
Hafezalkotob
,
A.
,
Khalaj
,
M.
, and
Hameed
,
I. A.
,
2022
, “
R.Graph: A New Risk-Based Causal Reasoning and Its Application to COVID-19 Risk Analysis
,”
Process Saf. Environ. Prot.
,
159
, pp.
585
604
.10.1016/j.psep.2022.01.010
18.
Jiang
,
X.
,
Wang
,
J. W.
,
Wang
,
Y. W.
,
Yang
,
S. Q.
,
Yao
,
C. M.
, and
Jin
,
L. H.
,
2023
, “
Study on Coupling Evolution of Collapse Risk of Deep Underground Tunnel From Perspective of Catastrophe
,”
China Saf. Sci. J.
,
33
(
5
), pp.
103
111
.10.16265/j.cnki.issn1003-3033.2023.05.1494
19.
Liu
,
J.
,
Wan
,
L. T.
,
Wang
,
W. Q.
,
Yang
,
G. D.
,
Ma
,
Q.
,
Zhou
,
H. W.
,
Zhao
,
H. Y.
, and
Lu
,
F.
,
2023
, “
Integrated Fuzzy DEMATEL-ISM-NK for Metro Operation Safety Risk Factor Analysis and Multi-Factor Risk Coupling Study
,”
Sustainability-Basel
, 15(7), p. 5898.10.3390/su15075898
20.
Katiyar, R., Panigrahi, S. S., Ghatak, R. R., and Singh, R.,
2024
, “
Exploring Barriers Towards Effective Coal Supply-A Non-Core Perspective Using ISM-DEMATEL
,”
Resour. Policy
, 92, p.
105010
.10.1016/j.resourpol.2024.105010
21.
Zhang
,
Y.
, and
Wang
,
X. Y.
,
2020
, “
Study on Causes of Unsafe Behaviors of Construction Workers Based on DEMAREL-ISM-BN
,”
J. Saf. Sci. Technol.
,
16
(
11
), pp.
110
116
.
22.
Bagherian
,
A.
,
2023
, “
Analyzing the Relationship Between Digitalization and Energy Sustainability: A Comprehensive ISM-MICMAC and DEMATEL Approach
,”
Expert Syst. Appl.
,
236
, p.
121193
.10.1016/j.eswa.2023.121193
23.
Tian
,
S. C.
,
Mao
,
J. R.
, and
Li
,
H. X.
,
2022
, “
Disaster-Causing Mechanism of Hidden Disaster-Causing Factors of Major and Extraordinarily Serious Gas Explosion Accidents in Coal Mine Goafs
,”
Sustainability-Basel
,
14
(
19
), p.
12018
.10.3390/su141912018
24.
Fauzdar
,
C.
,
Gupta
,
N.
,
Goswami
,
M.
, and
Kumar
,
R.
,
2022
, “
MICMAC Analysis of Industry 4.0 in Indian Automobile Industry
,”
J. Sci. Ind. Res. India
,
81
(
8
), pp.
873
881
.10.56042/jsir.v81i08.61847
25.
Witek
,
M.
,
2018
, “
Validation of In-Line Inspection Data Quality and Impact on Steel Pipeline Diagnostic Intervals
,”
J. Nat. Gas Sci. Eng.
,
56
, pp.
121
133
.10.1016/j.jngse.2018.05.036
26.
Silva
,
L. M. F.
,
de Oliveira
,
A. C. R.
,
Leite
,
M. S. A.
, and
Marins
,
F. A. S.
,
2021
, “
Risk Assessment Model Using Conditional Probability and Simulation: Case Study in a Piped Gas Supply Chain in Brazil
,”
Int. J. Prod. Res.
,
59
(
10
), pp.
2960
2976
.10.1080/00207543.2020.1744764
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