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2022, Vol. 39(6): 109-116    DOI: 10.13353/j.issn.1004.9533.20216004
Prediction of corrosion rate of submarine oil and gas pipelines based on ASO-BP neural network
XIAO Rongge, WANG Dong, WANG Qinxue
Shaanxi Key Laboratory of Advanced Stimulation Technology for Oil & Gas Reservoirs, College of Petroleum Engineering, Xi'an Shiyou University, Xi'an 710065, China
Received 2021-08-30  Revised 2021-09-27
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