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Research on Safety Management of Oil and Gas Pipelines in Petrochemical Enterprises
Mapping Intimacies
◽
10.47939/et.v2i10.319
◽
2021
◽
Keyword(s):
Oil And Gas
◽
Safety Management
◽
Gas Pipelines
◽
Oil And Gas Pipelines
Download Full-text
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References
Safety Management of Localized Employees in International Projects of Oil and Gas Pipelines
Journal of Oil and Gas Technology
◽
10.12677/jogt.2018.403046
◽
2018
◽
Vol 40
(03)
◽
pp. 10-13
Author(s):
文虎 蔡
Keyword(s):
Oil And Gas
◽
Safety Management
◽
Gas Pipelines
◽
Oil And Gas Pipelines
◽
International Projects
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Use of unmanned aerial vehicles for identification of leakages from oil and gas pipelines
Automation Telemechanization and Communication in Oil Industry
◽
10.33285/0132-2222-2019-1(546)-21-25
◽
2019
◽
pp. 21-25
Author(s):
L.I. Kochetkova
◽
◽
L.B. Senkevich
◽
N.A. Shandra
◽
◽
...
Keyword(s):
Unmanned Aerial Vehicles
◽
Oil And Gas
◽
Gas Pipelines
◽
Aerial Vehicles
◽
Oil And Gas Pipelines
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Features of pits drying technology during thermomechanical development of frozen soils when constructing oil and gas pipelines
Equipment and Technologies for Oil and Gas Complex
◽
10.33285/1999-6934-2020-6(120)-95-97
◽
2020
◽
pp. 95-97
Author(s):
B.L. Zhitomirsky
◽
Keyword(s):
Oil And Gas
◽
Gas Pipelines
◽
Frozen Soils
◽
Oil And Gas Pipelines
◽
Drying Technology
Download Full-text
Map of Colorado showing test wells for oil and gas, pipelines, oil and gas fields, and areas of pre-cambrian rocks
10.3133/om116
◽
1951
◽
Keyword(s):
Oil And Gas
◽
Gas Pipelines
◽
Oil And Gas Fields
◽
Oil And Gas Pipelines
◽
Gas Fields
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An effective method for differentiating inside and outside defects of oil and gas pipelines based on additional eddy current in low-frequency electromagnetic detection technique
Japanese Journal of Applied Physics
◽
10.35848/1347-4065/abaf0c
◽
2020
◽
Vol 59
(9)
◽
pp. 096505
Author(s):
Lijian Yang
◽
Ping Huang
◽
Shi Bai
◽
Songwei Gao
◽
Teruyoshi Sasayama
Keyword(s):
Eddy Current
◽
Oil And Gas
◽
Low Frequency
◽
Detection Technique
◽
Gas Pipelines
◽
Electromagnetic Detection
◽
Oil And Gas Pipelines
Download Full-text
Estimation of Internal Pit Depth Growth and Reliability of Aged Oil and Gas Pipelines— A Monte Carlo Simulation Approach
CORROSION
◽
10.5006/1543
◽
2015
◽
Vol 71
(8)
◽
pp. 977-991
◽
Cited By ~ 13
Author(s):
Chinedu I. Ossai
◽
Brian Boswell
◽
Ian J. Davies
Keyword(s):
Monte Carlo Simulation
◽
Monte Carlo
◽
Oil And Gas
◽
Simulation Approach
◽
Gas Pipelines
◽
Oil And Gas Pipelines
◽
Pit Depth
Download Full-text
Degradation Evaluation of HDPE in Oil and Gas Pipelines using Electrochemical Impedance Spectroscopy Technique
2020 Second International Sustainability and Resilience Conference: Technology and Innovation in Building Designs(51154)
◽
10.1109/ieeeconf51154.2020.9319945
◽
2020
◽
Author(s):
Hafiz Usman Khalid
◽
Mokhtar Che Ismail
◽
Norlin Nosbi
◽
Muhammad Yusri Hafiz Bin Ab Aziz
Keyword(s):
Electrochemical Impedance Spectroscopy
◽
Impedance Spectroscopy
◽
Oil And Gas
◽
Electrochemical Impedance
◽
Gas Pipelines
◽
Spectroscopy Technique
◽
Oil And Gas Pipelines
◽
Impedance Spectroscopy Technique
◽
Degradation Evaluation
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Efficient dual-function inhibitors for prevention of gas hydrate formation and CO2/H2S corrosion inside oil and gas pipelines
Chemical Engineering Journal
◽
10.1016/j.cej.2021.134098
◽
2021
◽
pp. 134098
Author(s):
Abdolreza Farhadian
◽
Woojin Go
◽
Soyoung Yun
◽
Alireza Rahimi
◽
Mohammad Reza Nabid
◽
...
Keyword(s):
Gas Hydrate
◽
Oil And Gas
◽
Hydrate Formation
◽
Dual Function
◽
Gas Pipelines
◽
H2s Corrosion
◽
Gas Hydrate Formation
◽
Oil And Gas Pipelines
Download Full-text
Improved Wear Resistance of the IGR Shutoff Valve in Oil and Gas Pipelines
Russian Engineering Research
◽
10.3103/s1068798x21030072
◽
2021
◽
Vol 41
(3)
◽
pp. 206-210
Author(s):
I. N. Karelin
◽
V. D. Sedykh
◽
L. V. Sedykh
Keyword(s):
Wear Resistance
◽
Oil And Gas
◽
Gas Pipelines
◽
Oil And Gas Pipelines
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Detection and sizing of metal-loss defects in oil and gas pipelines using pattern-adapted wavelets and machine learning
Applied Soft Computing
◽
10.1016/j.asoc.2016.10.040
◽
2017
◽
Vol 52
◽
pp. 247-261
◽
Cited By ~ 15
Author(s):
Mohamed Layouni
◽
Mohamed Salah Hamdi
◽
Sofiène Tahar
Keyword(s):
Machine Learning
◽
Oil And Gas
◽
Metal Loss
◽
Gas Pipelines
◽
Oil And Gas Pipelines
Download Full-text
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