Recurrent neural network-based model for estimating the life condition of a dry gas pipeline
The use of expansive pipeline networks guarantees domestic and industrial users for accessing a continuous flow of valuable liquids and gases. These pipeline systems were considered the most economical and safest pipeline of transport for oil and gas and are of great strategic importance. The risks...
| Main Authors: | Shaik, N.B., Benjapolakul, W., Pedapati, S.R., Bingi, K., Thien Le, N., Asdornwised, W., Chaitusaney, S. |
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| Format: | Article |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.33340 / |
| Published: |
Institution of Chemical Engineers
2022
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| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85132918469&doi=10.1016%2fj.psep.2022.06.047&partnerID=40&md5=04dfd16cb6b8598981b264f355a21d61 http://eprints.utp.edu.my/33340/ |
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