This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Bo, C. H. E. N., Zhiyong, Y. U., Yong, L. Y. U., Xiaojian, L. I., & Chunfang, L. I. (2017). A new type of anti-heave semi-submersible drilling platform. Petroleum Exploration and Development, 44(3), 487-494.BoC. H. E. N.ZhiyongY. U.YongL. Y. U.XiaojianL. I. & ChunfangL. I. (2017). A new type of anti-heave semi-submersible drilling platform. Petroleum Exploration and Development, 44(3), 487-494.Search in Google Scholar
Ignatenko, A. V., & Kuznetsov, S. E. (2018). Electric-energy systems of dynamic-positioning drilling vessels. Russian Electrical Engineering, 89(2), 85-92.IgnatenkoA. V. & KuznetsovS. E. (2018). Electric-energy systems of dynamic-positioning drilling vessels. Russian Electrical Engineering, 89(2), 85-92.Search in Google Scholar
Liu, S., Zhang, J., Wang, L. S., & Xu, J. Y. (2020). Separation mechanism and influential factor study on vane-type-associated petroleum gas separator. Separation and Purification Technology, 250, 117274.LiuS.ZhangJ.WangL. S. & XuJ. Y. (2020). Separation mechanism and influential factor study on vane-type-associated petroleum gas separator. Separation and Purification Technology, 250, 117274.Search in Google Scholar
Li, Q., Li, Q., & Han, Y. (2024). A Numerical Investigation on Kick Control with the Displacement Kill Method during a Well Test in a Deep-Water Gas Reservoir: A Case Study. Processes, 12(10).LiQ.LiQ. & HanY. (2024). A Numerical Investigation on Kick Control with the Displacement Kill Method during a Well Test in a Deep-Water Gas Reservoir: A Case Study. Processes, 12(10).Search in Google Scholar
Li, Z., Zhang, H., Meng, J., Long, Y., Yan, Y., Li, M., ... & Liang, Y. (2020). Reducing carbon footprint of deep-sea oil and gas field exploitation by optimization for Floating Production Storage and Offloading. Applied Energy, 261.LiZ.ZhangH.MengJ.LongY.YanY.LiM. ... & LiangY. (2020). Reducing carbon footprint of deep-sea oil and gas field exploitation by optimization for Floating Production Storage and Offloading. Applied Energy, 261.Search in Google Scholar
Hansen, L. S., Pedersen, S., & Durdevic, P. (2019). Multi-Phase Flow Metering in Offshore Oil and Gas Transportation Pipelines: Trends and Perspectives. Sensors (Basel, Switzerland), 19(9).HansenL. S.PedersenS. & DurdevicP. (2019). Multi-Phase Flow Metering in Offshore Oil and Gas Transportation Pipelines: Trends and Perspectives. Sensors (Basel, Switzerland), 19(9).Search in Google Scholar
Vrålstad, T., Saasen, A., Fjær, E., Øia, T., Ytrehus, J. D., & Khalifeh, M. (2019). Plug & abandonment of offshore wells: Ensuring long-term well integrity and cost-efficiency. Journal of Petroleum Science and Engineering, 173, 478-491.VrålstadT.SaasenA.FjærE.ØiaT.YtrehusJ. D. & KhalifehM. (2019). Plug & abandonment of offshore wells: Ensuring long-term well integrity and cost-efficiency. Journal of Petroleum Science and Engineering, 173, 478-491.Search in Google Scholar
Olugu, E. U., Wong, K. Y., Chung Ee, J. Y., & Mammedov, Y. D. (2022). Incorporating Sustainability and Maintenance for Performance Assessment of Offshore Oil and Gas Platforms: A Perspective. Sustainability (2071-1050), 14(2).OluguE. U.WongK. Y.Chung EeJ. Y. & MammedovY. D. (2022). Incorporating Sustainability and Maintenance for Performance Assessment of Offshore Oil and Gas Platforms: A Perspective. Sustainability (2071-1050), 14(2).Search in Google Scholar
Santos, N. O., Abel, M., Rodrigues, F. H., & Schmidt, D. (2022). Towards an ontology of offshore petroleum production equipment. FOMI, 22, 12th.SantosN. O.AbelM.RodriguesF. H. & SchmidtD. (2022). Towards an ontology of offshore petroleum production equipment. FOMI, 22, 12th.Search in Google Scholar
Bashkin, V. N., & Trubitsina, O. Р. (2022). Geoecological and Geopolitical Risks for the Oil and Gas Industry in the Arctic: Challenges and threats (Vol. 29). Springer Nature.BashkinV. N. & TrubitsinaO. Р. (2022). Geoecological and Geopolitical Risks for the Oil and Gas Industry in the Arctic: Challenges and threats (Vol. 29). Springer Nature.Search in Google Scholar
Almada, G. V. D. M. B., & Bernardino, A. F. (2017). Conservation of deep-sea ecosystems within offshore oil fields on the Brazilian margin, SW Atlantic. Biological Conservation, 100(206), 92-101.AlmadaG. V. D. M. B. & BernardinoA. F. (2017). Conservation of deep-sea ecosystems within offshore oil fields on the Brazilian margin, SW Atlantic. Biological Conservation, 100(206), 92-101.Search in Google Scholar
Brkic, D., & Stajic, Z. (2021). Offshore Oil and Gas Safety: Protection against Explosions. Safe, Secure and Sustainable Oil and Gas Drilling, Exploitation and Pipeline Transport Offshore, 9, 3.BrkicD. & StajicZ. (2021). Offshore Oil and Gas Safety: Protection against Explosions. Safe, Secure and Sustainable Oil and Gas Drilling, Exploitation and Pipeline Transport Offshore, 9, 3.Search in Google Scholar
Liang, J., Feng, J. C., Zhang, S., Cai, Y., Yang, Z., Ni, T., & Yang, H. Y. (2021). Role of deep-sea equipment in promoting the forefront of studies on life in extreme environments. Iscience, 24(11).LiangJ.FengJ. C.ZhangS.CaiY.YangZ.NiT. & YangH. Y. (2021). Role of deep-sea equipment in promoting the forefront of studies on life in extreme environments. Iscience, 24(11).Search in Google Scholar
Aalsalem, M. Y., Khan, W. Z., Gharibi, W., Khan, M. K., & Arshad, Q. (2018). Wireless Sensor Networks in oil and gas industry: Recent advances, taxonomy, requirements, and open challenges. Journal of Network and Computer Applications, 113, 87-97.AalsalemM. Y.KhanW. Z.GharibiW.KhanM. K. & ArshadQ. (2018). Wireless Sensor Networks in oil and gas industry: Recent advances, taxonomy, requirements, and open challenges. Journal of Network and Computer Applications, 113, 87-97.Search in Google Scholar
Mohammadpoor, M., & Torabi, F. (2020). Big Data analytics in oil and gas industry: An emerging trend. Petroleum, 6(4), 321-328.MohammadpoorM. & TorabiF. (2020). Big Data analytics in oil and gas industry: An emerging trend. Petroleum, 6(4), 321-328.Search in Google Scholar
Sircar, A., Yadav, K., Rayavarapu, K., Bist, N., & Oza, H. (2021). Application of machine learning and artificial intelligence in oil and gas industry. Petroleum Research, 6(4), 379-391.SircarA.YadavK.RayavarapuK.BistN. & OzaH. (2021). Application of machine learning and artificial intelligence in oil and gas industry. Petroleum Research, 6(4), 379-391.Search in Google Scholar
Bucelli, M., Landucci, G., Haugen, S., Paltrinieri, N., & Cozzani, V. (2018). Assessment of safety barriers for the prevention of cascading events in oil and gas offshore installations operating in harsh environment. Ocean Engineering, 158.BucelliM.LanducciG.HaugenS.PaltrinieriN. & CozzaniV. (2018). Assessment of safety barriers for the prevention of cascading events in oil and gas offshore installations operating in harsh environment. Ocean Engineering, 158.Search in Google Scholar
Zeqi Wei,Hui Wang,Zhibin Zhao,Zheng Zhou & Ruqiang Yan. (2025). Gearbox fault diagnosis based on temporal shrinkage interpretable deep reinforcement learning under strong noise. Engineering Applications of Artificial Intelligence(PB),109644-109644.WeiZeqiWangHuiZhaoZhibinZhouZheng & YanRuqiang. (2025). Gearbox fault diagnosis based on temporal shrinkage interpretable deep reinforcement learning under strong noise. Engineering Applications of Artificial Intelligence(PB),109644-109644.Search in Google Scholar
Xiang Ning,Lingfeng Yu,Xianqi Liao,Zengguang Lai,Hu Cheng & Dahai Liao. (2025). Extraction of asymptotic edges of microcracks in silicon nitride bearings based on adaptive nonlocal mean filtering and iterative tracking algorithm. Measurement(PD),116215-116215.NingXiangYuLingfengLiaoXianqiLaiZengguangChengHu & LiaoDahai. (2025). Extraction of asymptotic edges of microcracks in silicon nitride bearings based on adaptive nonlocal mean filtering and iterative tracking algorithm. Measurement(PD),116215-116215.Search in Google Scholar
Cheng Huang,Tao Wang,Shuaikang Wang & Jiazhong Xu. (2025). Dynamic path planning for spacecraft rendezvous and approach based on hybrid honey badger algorithm. Journal of the Franklin Institute(1), 107398-107398.HuangChengWangTaoWangShuaikang & XuJiazhong. (2025). Dynamic path planning for spacecraft rendezvous and approach based on hybrid honey badger algorithm. Journal of the Franklin Institute(1), 107398-107398.Search in Google Scholar
Yan Wan,Yujia Zhai,Can Cui & Dexuan Song. (2024). Indoor energy-saving strategy optimization based on deep reinforcement learning and DDPG algorithm. Computing(1),26-26.WanYanZhaiYujiaCuiCan & SongDexuan. (2024). Indoor energy-saving strategy optimization based on deep reinforcement learning and DDPG algorithm. Computing(1),26-26.Search in Google Scholar
Manjunatha B. A.,Shastry K. Aditya,Naresh E.,Pareek Piyush Kumar & Reddy Kadiri Thirupal. (2023). A network intrusion detection framework on sparse deep denoising auto-encoder for dimensionality reduction. Soft Computing(5),4503-4517.ManjunathaB. A.AdityaShastry K.NareshE.KumarPareek Piyush & ThirupalReddy Kadiri. (2023). A network intrusion detection framework on sparse deep denoising auto-encoder for dimensionality reduction. Soft Computing(5),4503-4517.Search in Google Scholar