Visualization and Analysis of Oil and Gas Pipeline Corrosion Research: A Bibliometric Data-Mining Approach-Reference-Cited by-同舟云学术

Visualization and Analysis of Oil and Gas Pipeline Corrosion Research: A Bibliometric Data-Mining Approach

Published:2024-08 Issue:3 Volume:15 Page:
ISSN:1949-1190
Container-title:Journal of Pipeline Systems Engineering and Practice
language:en
Short-container-title:J. Pipeline Syst. Eng. Pract.

Author:

Xu Lei¹,Yu Pengfei²,Wen Shaomu³,Tang Yongfan⁴,Wang Yunfu⁵,Tian Yuan⁶,Mao Ting⁷,Li Changjun⁸

Affiliation:

1. Senior Engineer, Research Institute of Natural Gas Technology, PetroChina Southwest Oil & Gasfield Company, Chengdu, Sichuan 610213, China (corresponding author).

2. Postgraduate Student, National Engineering Laboratory for Pipeline Safety, China Univ. of Petroleum, Beijing 102200 China.

3. Professor Engineer, PetroChina Southwest Oil & Gasfield Company, No. 34, Section 1, Fuqing Rd., Chenghua District, Chengdu, Sichuan 610051, China.

4. Professor Engineer, Research Institute of Natural Gas Technology, PetroChina Southwest Oil & Gasfield Company, Chengdu, Sichuan 610213, China.

5. Senior Engineer, PetroChina Southwest Oil & Gasfield Company, No. 34, Section 1, Fuqing Rd., Chenghua District, Chengdu, Sichuan 610051, China.

6. Engineer, Research Institute of Natural Gas Technology, PetroChina Southwest Oil & Gasfield Company, Chengdu, Sichuan 610213, China.

7. Engineer, Research Institute of Natural Gas Technology, PetroChina Southwest Oil & Gasfield Company, Chengdu, Sichuan 610213, China; National Energy R&D Center of High Sulfur Gas Exploitation, Chengdu, Sichuan, China.

8. Professor, Petroleum Engineering School, Southwest Petroleum Univ., Chengdu, Sichuan 610500, China.

Publisher

American Society of Civil Engineers (ASCE)

Link

https://ascelibrary.org/doi/pdf/10.1061/JPSEA2.PSENG-1605

Reference84 articles.

1. Metallurgical characterization of a failed A106 Gr-B carbon steel welded condensate pipeline in a petroleum refinery

2. Corrosion inhibition of carbon steel pipelines by some novel Schiff base compounds during acidizing treatment of oil wells studied by electrochemical and quantum chemical methods

3. Predictive deep learning for pitting corrosion modeling in buried transmission pipelines

4. Window-type rupture of carbon steel pipe in a hydroprocessing plant of a petroleum refinery due to ammonium bisulfide corrosion

5. Prediction of the internal corrosion rate for oil and gas pipeline: Implementation of ensemble learning techniques

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