Novel water-based coatings of acrylic-polyurethane reinforced with mixed metal pigment for oil and gas pipelines protection

Progress in Organic Coatings ◽

10.1016/j.porgcoat.2020.105941 ◽

2020 ◽

Vol 149 ◽

pp. 105941

Author(s):

M.G. Mohamed ◽

N.M. Ahmed ◽

W.S. Mohamed ◽

M.R. Mabrouk

Keyword(s):

Oil And Gas ◽

Gas Pipelines ◽

Mixed Metal ◽

Oil And Gas Pipelines ◽

Water Based ◽

Acrylic Polyurethane

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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

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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

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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

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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

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Research on Safety Management of Oil and Gas Pipelines in Petrochemical Enterprises

10.47939/et.v2i10.319 ◽

2021 ◽

Keyword(s):

Oil And Gas ◽

Safety Management ◽

Gas Pipelines ◽

Oil And Gas Pipelines

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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

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