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RESEARCH PAPER · Energy · 2022

Energy consumption prediction for crude oil pipelines based on integrating mechanism analysis and data mining

Xinru Zhang, Lei Hou, Jiaquan Liu, Kai Yang, Chong Chai, Yanhao Li, Sichen He

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42 direct citing works

Energy consumption prediction for crude oil pipelines based on integrating mechanism analysis and data miningOriginalImproving energy efficiency prediction under aberrant measurement using deep compensation networks: A case study of petrochemical process24Mid-term energy consumption predicting model for natural gas pipeline considering the effects of operating strategy17Energy efficiency and savings analysis with multirate sampling for petrochemical process using convolutional neural network-based transfer learning21An Energy-Efficiency Prediction Method in Crude Distillation Process Based on Long Short-Term Memory Network6Forecast and structural characteristics of China's oil product consumption embedded in bottom-line thinking2Effect of shear on durability of viscosity reduction of electrically-treated waxy crude oils19Hydrate aggregation in oil-gas pipelines: Unraveling the dual role of asphalt and water13Research on Pipeline Hydrate Deposition Prediction Based on Neural Networks0Rolling theory-guided prediction of hot-rolled plate width based on parameter transfer strategy16Digital twin-aided transfer learning for energy efficiency optimization of thermal spray dryers: Leveraging shared drying characteristics across chemicals with limited data25Machine learning application in batch scheduling for multi-product pipelines: A review13Prediction of Oil Pipeline Process Operating Parameters Based on Mechanism and Data Mining3Multiscale graph based spatio-temporal graph convolutional network for energy consumption prediction of natural gas transmission process28Energy efficiency characteristics analysis for process diagnosis under anomaly using self-adaptive-based SHAP guided optimization14Understanding the enhancement mechanism of critical electric field strength for salt-laden droplets electric coalescence through synchronous coupled magnetic field9Prediction of hydrate formation boundaries in pure water and salt/alcohol containing systems based on prior knowledge and artificial intelligence5Development of physics-guided neural network framework for acid-base treatment prediction using carbon dioxide-based tubular reactor6Law of conservation-guided neural network with gradient aggregation for improved energy efficiency optimization in industrial processes7Proposing a Method Using Graph Attention Networks for Predicting Water Injection and Energy Consumption: A Case Study of a Surface Oil and Gas Gathering Station in Jilin Oilfield1Degradation prediction and explainable analyses of the corroded subsea pipelines based on INSGAII-PGNN and SHAP algorithm7Economic viability of liquefied natural gas pipeline construction: Influence of cascaded utilization of cold energy and distance-volume factors2Physics guided neural network framework for predicting shear strength of corroded reinforced concrete beams10A hybrid physical information deep learning framework for energy consumption forecasting of forging heating furnace3Mixed-interval steam consumption modeling for industrial energy optimization via meta-learning through shared attention2Multi-stage cross-modal alignment with LLMs for energy consumption prediction in natural gas networks3Artificial Neural Network-Based Surrogate Modeling for Energy-Efficient Operation of the Oilfield Gathering and Transportation System0Research on a novel long-distance crude oil pipeline heating system based on medium-depth geothermal and heat pump coupling0Data-Driven Energy Optimization of Nigerian Midstream Pipeline Systems Using Hybrid Machine Learning and Process Simulation0

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  1. Improving energy efficiency prediction under aberrant measurement using deep compensation networks: A case study of petrochemical process

    Energy · 2022-10-26

    Chanin Panjapornpon, Santi Bardeeniz, M. Azlan Hussain

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  2. Mid-term energy consumption predicting model for natural gas pipeline considering the effects of operating strategy

    Energy Conversion and Management · 2022-11-17

    Chongyuan Shui, Dengji Zhou, Jiarui Hao, Na Zhang, Chen Wang, Xiangqi Bu, Tiemin Shao

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  3. Energy efficiency and savings analysis with multirate sampling for petrochemical process using convolutional neural network-based transfer learning

    Energy and AI · 2023-03-22

    Chanin Panjapornpon, Santi Bardeeniz, M. Azlan Hussain, Kanthika Vongvirat, Chayanit Chuay-ock

    Read original paper ↗ ·

  4. An Energy-Efficiency Prediction Method in Crude Distillation Process Based on Long Short-Term Memory Network

    Processes · 2023-04-19

    Yu Zhang, Zhe Cui, Mingzhang Maple Wang, Bin Liu, Fan Xiaomin, Wende Tian

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  5. Forecast and structural characteristics of China's oil product consumption embedded in bottom-line thinking

    Energy · 2023-05-19

    Xiaokong Zhang, Jian Chai, Lingyue Tian, Ying Yang, Zhe George Zhang, Yue Pan

    Read original paper ↗ ·

  6. Effect of shear on durability of viscosity reduction of electrically-treated waxy crude oils

    Energy · 2023-07-31

    Yiwei Xie, Hongying Li, Miaomiao Xu, Yang Su, Chaoyue Zhang, Shanpeng Han, Shanpeng Han

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  7. Hydrate aggregation in oil-gas pipelines: Unraveling the dual role of asphalt and water

    Energy · 2023-12-21

    Zherui Chen, Zherui Chen, Sining Dai, Cong Chen, Huangwu Lyu, Shuheng Zhang, Yanghui Li, Yanghui Li

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  8. Research on Pipeline Hydrate Deposition Prediction Based on Neural Networks

    Lecture notes in civil engineering · 2024-01-01

    Jian Wang, Jiafang Xu, Bowen Wang, Tingji Ding, Yahua Wang, Jie Chen, Xiaohui Wang, Xiaolong Yang

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  9. Rolling theory-guided prediction of hot-rolled plate width based on parameter transfer strategy

    ISA Transactions · 2024-01-12

    Zishuo Dong, Li Na Xu, Feng Luan, Chunyuan Cui, Jingguo Ding, Dianhua Zhang

    Read original paper ↗ ·

  10. Digital twin-aided transfer learning for energy efficiency optimization of thermal spray dryers: Leveraging shared drying characteristics across chemicals with limited data

    Applied Thermal Engineering · 2024-01-21

    Santi Bardeeniz, Chanin Panjapornpon, Chalermpan Fongsamut, Pailin Ngaotrakanwiwat, M. Azlan Hussain

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  11. Machine learning application in batch scheduling for multi-product pipelines: A review

    Journal of Pipeline Science and Engineering · 2024-02-15

    Renfu Tu, Hao Zhang, Bin Xu, Xiaoyin Huang, Yiyuan Che, Jian Du, Chang Wang, Rui Qiu, Yongtu Liang

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  12. Prediction of Oil Pipeline Process Operating Parameters Based on Mechanism and Data Mining

    Journal of Energy Resources Technology · 2024-07-15

    Lixin Wei, Lan Wang, Qiang Zhou, Yuhang Gao

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  13. Multiscale graph based spatio-temporal graph convolutional network for energy consumption prediction of natural gas transmission process

    Energy · 2024-07-17

    Chen Wang, Dengji Zhou, Xiaoguo Wang, Song Liu, Tiemin Shao, Chongyuan Shui, Jun Yan

    Read original paper ↗ ·

  14. Energy efficiency characteristics analysis for process diagnosis under anomaly using self-adaptive-based SHAP guided optimization

    Energy · 2024-09-02

    Santi Bardeeniz, Chanin Panjapornpon, Chalermpan Fongsamut, Pailin Ngaotrakanwiwat, M. Azlan Hussain

    Read original paper ↗ ·

  15. Understanding the enhancement mechanism of critical electric field strength for salt-laden droplets electric coalescence through synchronous coupled magnetic field

    Colloids and Surfaces A Physicochemical and Engineering Aspects · 2024-09-05

    Mofan Li, Donghai Yang, Shiyi Lv, Xinming Zhao, Jianwei Wang, Minmin Xia, Limin He

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  16. Prediction of hydrate formation boundaries in pure water and salt/alcohol containing systems based on prior knowledge and artificial intelligence

    Fuel · 2024-09-21

    Shu-Kai Chen, Xiaofang Lv, Jianping Ding, Yang Liu, Ji-Miao Duan, Hui Du, Chuanshuo Wang, Mingguo Peng, Qianli Ma, Shidong Zhou

    Read original paper ↗ ·

  17. Development of physics-guided neural network framework for acid-base treatment prediction using carbon dioxide-based tubular reactor

    Engineering Applications of Artificial Intelligence · 2024-10-20

    Chanin Panjapornpon, Patcharapol Chinchalongporn, Santi Bardeeniz, Kulpavee Jitapunkul, M. Azlan Hussain, Thanatip Satjeenphong

    Read original paper ↗ ·

  18. Law of conservation-guided neural network with gradient aggregation for improved energy efficiency optimization in industrial processes

    Energy and AI · 2025-01-18

    Santi Bardeeniz, Chanin Panjapornpon, Moonyong Lee

    Read original paper ↗ ·

  19. Proposing a Method Using Graph Attention Networks for Predicting Water Injection and Energy Consumption: A Case Study of a Surface Oil and Gas Gathering Station in Jilin Oilfield

    Energy & Fuels · 2025-01-28

    Chuanglei Li, Daqian Liu, Xiaoping Li, Hai-lian Zhou, Bohui Shi, Jing Gong

    Read original paper ↗ ·

  20. Degradation prediction and explainable analyses of the corroded subsea pipelines based on INSGAII-PGNN and SHAP algorithm

    Ocean Engineering · 2025-05-26

    Qian Chen, Huang Wei, Ya Wen, Bohong Wang, Gang Liu

    Read original paper ↗ ·

  21. Economic viability of liquefied natural gas pipeline construction: Influence of cascaded utilization of cold energy and distance-volume factors

    Journal of Pipeline Science and Engineering · 2025-07-27

    Bo Zhang, Bin Xu, Ning Xu, Rui Qiu, Qi Liao, Haoran Zhang, Yongtu Liang

    Read original paper ↗ ·

  22. Physics guided neural network framework for predicting shear strength of corroded reinforced concrete beams

    Engineering Failure Analysis · 2025-08-06

    Chenxin Wang, Hongyuan Guo, Chao Jiang, You Dong, Hongzhi Cui

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  23. A hybrid physical information deep learning framework for energy consumption forecasting of forging heating furnace

    Energy · 2025-11-07

    Yuankai Peng, Zhili Hu, Lin Hua, Rui Wang, Xunpeng Qin, Mingwei Huang

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  24. Mixed-interval steam consumption modeling for industrial energy optimization via meta-learning through shared attention

    Energy · 2026-02-03

    Santi Bardeeniz, Chayanit Chuay-ock, David Shan‐Hill Wong, Yuan Yao, Jia‐Lin Kang, Chanin Panjapornpon

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  25. Multi-stage cross-modal alignment with LLMs for energy consumption prediction in natural gas networks

    Neurocomputing · 2026-02-15

    Chen Wang, Dengji Zhou, Tiemin Shao, Xiaoguo Wang, Song Liu, Bo Wang, Dawen Huang

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  26. Artificial Neural Network-Based Surrogate Modeling for Energy-Efficient Operation of the Oilfield Gathering and Transportation System

    Energies · 2026-04-23

    Donghai Yang, Changxiao Zhu, Xueling Zhao, Jiaxu Miao, Peng Hu

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  27. Research on a novel long-distance crude oil pipeline heating system based on medium-depth geothermal and heat pump coupling

    Energy · 2026-05-02

    Xinyu Bai, Peng Wang, Lijie Zhang, Dongxu Han, Kun Wang, Jie Wang, Yujie Chen, Qiulin Wang, Bo Yu

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  28. Data-Driven Energy Optimization of Nigerian Midstream Pipeline Systems Using Hybrid Machine Learning and Process Simulation

    SPE Nigeria Annual International Conference and Exhibition · 2026-08-10

    D. G. Ameh, H. O. Suleiman, F. K. Ayeni

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