Strategic Optimization of Industrial Lubricants for Energy Efficiency and Asset Reliability in Saudi Arabia’s Oil and Gas Sector: A Vision 2030 Framework

References

[1] Wanasinghe, T.R., Wroblewski, L., Petersen, B.K., et al. (2020). Digital Twin for the Oil and Gas Industry: Overview, Research Trends, Opportunities, and Challenges. IEEE Access, 8, 104175–104197. IEEE

[2] Meng, Y., Xu, J., Jin, Z., et al. (2020). A review of recent advances in tribology. Friction, 8, 221–300. Springer

[3] Luo, J., & Zhou, X. (2020). Superlubricitive engineering—Future industry nearly getting rid of wear and frictional energy consumption. Friction, 8, 643–665. Springer

[4] Chen, Y., Jha, S., Raut, A., Zhang, W., & Liang, H. (2020). Performance Characteristics of Lubricants in Electric and Hybrid Vehicles: A Review of Current and Future Needs. Frontiers in Mechanical Engineering, 6, 571464. Frontiers

[5] Cai, M., Yu, Q., Liu, W., & Zhou, F. (2020). Ionic liquid lubricants: when chemistry meets tribology. Chemical Society Reviews, 49, 7753–7818. Royal Society of Chemistry

[6] Liu, H., Liu, H., Zhu, C., & Parker, R.G. (2020). Effects of lubrication on gear performance: A review. Mechanism and Machine Theory, 145, 103701. ScienceDirect

[7] Olesen, J.F., & Shaker, H.R. (2020). Predictive Maintenance for Pump Systems and Thermal Power Plants: State-of-the-Art Review, Trends and Challenges. Sensors, 20, 2425. MDPI

[8] Amran, Y.H.A., Amran, Y.H.M., Alyousef, R., & Alabduljabbar, H. (2020). Renewable and sustainable energy production in Saudi Arabia according to Saudi Vision 2030; Current status and future prospects. Journal of Cleaner Production, 247, 119602. ScienceDirect

[9] Mahmood, H., Alkhateeb, T.T.Y., & Furqan, M. (2020). Oil sector and CO2 emissions in Saudi Arabia: asymmetry analysis. Humanities and Social Sciences Communications, 6, 88.

[10] Ahmed, Q. (2021). Reliability-based fault analysis models with industrial applications: A systematic literature review. Quality and Reliability Engineering International, 37, 1307–1333.

[11] Yakoot, M.S., Elgibaly, A.A., Ragab, A.M.S., & Mahmoud, O. (2021). Well integrity management in mature fields: a state-of-the-art review on the system structure and maturity. Journal of Petroleum Exploration and Production Technology, 11, 1833–1853. Springer

[12] Rachman, A., Zhang, T., & Ratnayake, R.M.C. (2021). Applications of machine learning in pipeline integrity management: A state-of-the-art review. International Journal of Pressure Vessels and Piping, 193, 104471. ScienceDirect

[13] Manikandan, S., & Duraivelu, K. (2021). Fault diagnosis of various rotating equipment using machine learning approaches – A review. Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering, 235, 629–642. SAGE

[14] Zhao, J., Huang, Y., He, Y., et al. (2021). Nanolubricant additives: A review. Friction, 9, 891–917. Springer

[15] Alomari, M.A., & Heffron, R.J. (2021). Utilising law in the transition of the Kingdom of Saudi Arabia to a low-carbon economy. Environmental Innovation and Societal Transitions, 39, 107–118. ScienceDirect

[16] Wen, Y., Rahman, M.F., Xu, H., & Tseng, T.L.B. (2022). Recent advances and trends of predictive maintenance from data-driven machine prognostics perspective. Measurement, 187, 110276. ScienceDirect

[17] Teh, J.L., Walvekar, R., Nagarajan, T., et al. (2022). A review on the properties and tribological performance of recent non-aqueous miscible lubricants. Journal of Molecular Liquids, 366, 120274. ScienceDirect

[18] Pawar, R.V., Hulwan, D.B., & Mandale, M.B. (2022). Recent advancements in synthesis, rheological characterization, and tribological performance of vegetable oil-based lubricants enhanced with nanoparticles for sustainable lubrication. Journal of Cleaner Production, 378, 134454. ScienceDirect

[19] Lakal, N., Shehri, A.H., Brashler, K.W., Wankhede, S.P., Morse, J., & Du, X. (2022). Sensing technologies for condition monitoring of oil pump in harsh environment. Sensors and Actuators A: Physical, 346, 113864. ScienceDirect

[20] Yilmaz, M., Önüt, A., Lohner, T., & Stahl, K. (2022). Gear and bearing power losses: from dip to minimum quantity lubrication. Industrial Lubrication and Tribology, 74, 985–994. Emerald

[21] Sattari, F., Lefsrud, L., Kurian, D., & Macciotta, R. (2022). A theoretical framework for data-driven artificial intelligence decision making for enhancing the asset integrity management system in the oil & gas sector. Journal of Loss Prevention in the Process Industries, 74, 104648. ScienceDirect

[22] Pichler, J., Eder, R.M., Besser, C., et al. (2023). A comprehensive review of sustainable approaches for synthetic lubricant components. Green Chemistry Letters and Reviews, 16, 2185547. Taylor & Francis

[23] Khadem, M., Kang, W.B., & Kim, D.E. (2023). Green Tribology: A Review of Biodegradable Lubricants—Properties, Current Status, and Future Improvement Trends. International Journal of Precision Engineering and Manufacturing-Green Technology, 11, 565–583.

[24] Belaïd, F., & Massié, C. (2023). The viability of energy efficiency in facilitating Saudi Arabia's journey toward net-zero emissions. Energy Economics, 124, 106765. ScienceDirect

[25] Mohamed Almazrouei, S., Dweiri, F., Aydin, R., & Alnaqbi, A. (2023). A review on the advancements and challenges of artificial intelligence based models for predictive maintenance of water injection pumps in the oil and gas industry. SN Applied Sciences, 5, 391. Springer

[26] Li, D., Gao, H., Yang, K., Zhou, F., & Shi, X. (2023). Abnormal identification of oil monitoring based on LSTM and SVDD. Wear, 526–527, 204793. ScienceDirect

[27] Al-Hajri, A., Abdella, G.M., Al-Yafei, H., Aseel, S., & Hamouda, A.M. (2024). A Systematic Literature Review of the Digital Transformation in the Arabian Gulf’s Oil and Gas Sector. Sustainability, 16, 6601. MDPI

[28] Silva-Álvarez, D.F., Dominguez-Lopez, I., Vidales-Hurtado, M.A., et al. (2024). A review on the menagerie of green fluids and nanoparticles to develop sustainable biolubricant technologies. Environmental Technology & Innovation, 33, 103532. ScienceDirect

[29] Alshibani, A., Alkhathami, S.M., Hassanain, M.A., Tuffaha, F., Ouis, D., & Mohammed, A. (2024). Hybrid Framework for Investigating Digital Transformation Barriers in the Oil and Gas Sector. Energies, 17, 6151. MDPI

[30] Alsuhaibany, Y. (2025). Digital Innovation and Circular Economy: A Nexus for Sustainable Oil and Gas Sector Transformation in Saudi Arabia. Sustainability, 17, 1325. MDPI

@article{1723746,
      author = {Mohammad Imran Khan},
      title = {Strategic Optimization of Industrial Lubricants for Energy Efficiency and Asset Reliability in Saudi Arabia’s Oil and Gas Sector: A Vision 2030 Framework},
      journal = {Iconic Research And Engineering Journals},
      year = {2026},
      volume = {10},
      number = {4},
      pages = {498-510},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1723746.pdf},
      abstract = {Industrial lubrication is usually regarded as a maintenance item rather than as a means of achieving energy efficiency, asset reliability, and lifecycle value. This difference is important in Saudi Arabia's oil and gas industry, since pumps, compressors, turbines, gearboxes, hydraulic systems and auxiliary equipment have to operate under heavy loads, thermal stress, a risk of contamination and strict availability requirements. This study brings together peer-reviewed evidence published between 2020 and 2025 in order to look at how lubricant selection, application engineering, contamination control, condition monitoring, predictive analytics and sustainable formulation can be incorporated into a strategic lubrication framework that is in line with Saudi Vision 2030. To do this, a structured integrative approach is applied drawing on the fields of tribology, reliability engineering, condition monitoring, digital transformation and the literature on Saudi energy transition. The evidence shows that lubricant optimisation improves efficiency by reducing friction and churning losses, enhances reliability by ensuring good film integrity and controlling wear, and has an impact on maintenance costs by enabling earlier detection of degradation and allowing for better timing of interventions. Yet value is sacrificed when lubricant decisions are left scattered among the procurement, operations, laboratories and maintenance departments. It is therefore suggested that a framework geared towards Saudi Vision 2030 should be based on five interconnected capabilities: asset criticality, application-specific lubricant engineering, condition-based surveillance, data-driven decision support, and circular resource management. The review concludes that the greatest opportunity does not lie in simply using higher-performance oils, but in treating lubrication as an asset-management system that delivers measurable results in the areas of energy, reliability, environment and localisation.},
      month = {October},
  }