Results 151 to 160 of about 80,133 (209)

Characterization and source analysis of soil pollution in aluminum processing industry based on source inventory. [PDF]

iScience
Wu Y, Sang J, Jia H, Liu X, Zhang H, Cui G, Ding W, Xie Y, Shi P.   +8 more
europepmc   +1 more source

Explainable machine learning methods for predicting electricity consumption in a long distance crude oil pipeline. [PDF]

Sci Rep
Chen H, Gao T, Wang L, Guo P.
europepmc   +1 more source

Design and control strategy of a heavy-duty independent suspension system based on distributed hydraulic sources. [PDF]

Sci Prog
ShiCheng Z, Sijia C, Jingkun W, Jihong Z, Xiaming Y.   +4 more
europepmc   +1 more source

Study on CCS source-sink matching and its cluster deployment in multi-type geological bodies in Anhui Province of China. [PDF]

Sci Rep
Fang H, Gu C, Ye K, Yu S.
europepmc   +1 more source

Analysis of static electricity risks in nonmetallic pipelines for hydrogen transportation. [PDF]

Sci Rep
Wang G, Shi J, Wang Z, Yao R.
europepmc   +1 more source

Geological and Technical Foundations of Offshore CO₂ Storage in Depleted Reservoirs. [PDF]

ACS Omega
Shah MS, Zendehboudi S, Duan X, Khan F, Saady NMC, Mohamadi-Baghmolaei M, Heagle DJ.   +6 more
europepmc   +1 more source

Numerical study on small hole leakage and diffusion of hydrogen in buried pipelines. [PDF]

Sci Rep
Dong L, Pang X, Zhang R.
europepmc   +1 more source

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Artificial neural network models for predicting condition of offshore oil and gas pipelines

Automation in Construction, 2014
Abstract Pipelines daily transport and distribute huge amounts of oil and gas across the world. They are considered the safest method of transporting oil and gas because of their limited number of failures. However, pipelines are subject to deterioration and degradation.
Mohammed S. El-Abbasy, Ahmed Senouci, Tarek Zayed, Farid Mirahadi, Laya Parvizsedghy   +4 more
openaire   +3 more sources

China's oil and gas demand forecast and pipeline network layout optimization analysis

Advances in Economics and Management Research, 2023
In order to accelerate the speed of pipeline network construction and expand the scale of oil and gas pipeline network, we need to forecast the total oil and gas demand and regional demand structure, so as to better serve the future construction of national oil and gas network.
Fengxue Li, Zhongxun Zhao, Baomin Hong, Xintong Miu   +3 more
openaire   +1 more source

Defect identification for oil and gas pipeline safety based on autonomous deep learning network

Computer Communications, 2022
Min Zhang, Yanbao Guo, Qiuju Xie, Yuansheng Zhang, Deguo Wang, Jinzhong Chen   +5 more
openaire   +3 more sources