Year 2021

  1. Lalji, S. M., Khan, M. A., Haneef, J., Ali, S. I., Arain, A. H., & Shah, S. S. (2023). Nano-particles adapted drilling fluids for the swelling inhibition for the Northern region clay formation of Pakistan. Applied Nanoscience, 13(1), 503-517. https://doi.org/10.1007/s13204-021-01825-4
  2. Ali, S.I., Lalji, S.M., Haneef, J. et al. Comprehensive Analysis of Asphaltene Stability Predictors under Different Conditions. Pet. Chem.61, 446–454 (2021).https://doi.org/10.1134/S0965544121050091
  3. Ali, S.I., Lalji, S.M., Haneef, J. et al. Critical analysis of different techniques used to screen asphaltene stability in crude oils, Fuel, Volume 299,(2021). https://doi.org/10.1016/j.fuel.2021.120874
  4. Ali, S.I., Lalji, S.M., Haneef, J. et al. Estimation of asphaltene adsorption on MgO nanoparticles using ensemble learning, Chemo metrics and Intelligent Laboratory Systems, Volume 208, 104220, (2021). https://doi.org/10.1016/j.chemolab.2020.104220
  5. Khan, M.A., Haneef, J., Lalji, S.M. et al. Experimental study and modeling of water-based fluid imbibitions process in Middle and Lower Indus Basin Formations of Pakistan. J Petrol Explor Prod Technol 11, 425–438(2021).https://doi.org/10.1007/s13202-020-01022-z
  6. Lalji, S.M., Ali, S.I., Ahmed, R. et al. Comparative performance analysis of different swelling kinetic models for the evaluation of shale swelling. J Petrol Explor Prod Technol (2021). https://doi.org/10.1007/s13202-021-01387-9
  7. Ali, S.I., Haneef, J., Tirmizi, S.T. et al. Prediction of Asphaltene Precipitation Envelope (APE) Using Empirical Equations and Equation of State Model. Pet. Chem. 61, 1217–1227 (2021). https://doi.org/10.1134/S0965544121110219
  8. Lalji, S.M., Ali, S.I., Awan, Z.U.H. et al. A novel technique for the modeling of shale swelling behavior in water-based drilling fluids. J Petrol Explor Prod Technol 11, 3421–3435 (2021). https://doi.org/10.1007/s13202-021-01236-9
  9. Ali, S.I., Lalji, S.M., Haneef, J. et al. Asphaltene precipitation modeling in dead crude oils using scaling equations and non-scaling models: comparative study. J Petrol Explor Prod Technol 11, 3599– 3614(2021). https://doi.org/10.1007/s13202-021-01233-y

 

 

Year 2022

  1. Arain, A. H., Ridha, S., Ilyas, S. U., Mohyaldinn, M. E., & Suppiah, R. R. (2022). Evaluating the influence of graphene nanoplatelets on the performance of invert emulsion drilling fluid in high-temperature wells. Journal of Petroleum Exploration and Production Technology, 12(9), 2467-2491. https://doi.org/10.1007/s13202-022-01501-5
  2. Arain, A. H., Ridha, S., Mohyaldinn, M. E., & Suppiah, R. R. (2022). Improving the performance of invert emulsion drilling fluid using boron nitride and graphene nanoplatelets for drilling of unconventional high-temperature shale formations. Journal of Molecular Liquids, 363, 119806. https://doi.org/https://doi.org/10.1016/j.molliq.2022.119806
  3. Arain, A. H., Ridha, S., Suppiah, R. R., Irawan, S., & Ilyas, S. U. (2022). Developing an efficient ester-based drilling fluid based on CalophyllumInophyllum oil for eco-friendly drilling of unconventional shale formation. Journal of Petroleum Science and Engineering, 219, 111141. https://doi.org/https://doi.org/10.1016/j.petrol.2022.111141
  4. Arain, A. H., Ridha, S., & Ali, I. (2023). Development and performance evaluation of castor oil based biodiesel as an eco-friendly ester-based drilling fluid. Petroleum Science and Technology, 41(19), 1831-1851. https://doi.org/10.1080/10916466.2022.2097260
  5. Ali, S.I, Awan, Z., Lalji, S.M., Laboratory evaluation experimental techniques of asphaltene precipitation and deposition controlling chemical additives., Fuel, Volume 310, Part A, 122194, (2022)https://doi.org/10.1016/j.fuel.2021.122194
  6. Ali, S. I., Lalji, S. M., Haneef, J. et al. Phenomena, factors of wax deposition and its management strategies. Arab J. Geosci. 15, 133 (2022). https://doi.org/10.1007/s12517-021-09221-6
  7. Lalji, S.M., Ali, S.I., Awan, Z.U.H. et al. Development of modified scaling swelling model for the prediction of shale swelling. Arab J Geosci 15, 353 (2022). https://doi.org/10.1007/s12517-022- 09607-0
  8. Saboor, A., Yousaf, N., Haneef, J. et al. Performance of asphaltene stability predicting models in field environment and development of new stability predicting model (ANJIS). J Petrol Explor Prod Technol 12, 1423–1436 (2022). https://doi.org/10.1007/s13202-021-01407-8
  9. Lalji, S., Ali, S., Ahmed, R. et al. Study the effects of mineral content on water diffusion mechanism and swelling characteristics in shale formations of Pakistan. Arab J Geosci 15, 864 (2022). https://doi.org/10.1007/s12517-022-10133-2
  10. Lalji, S.M., Ali, S.I., Ahmed, R. et al. Influence of graphene oxide on salt-polymer mud rheology and Pakistan shale swelling inhibition behavior. Arab J Geosci 15, 612 (2022). https://doi.org/10.1007/s12517-022-09800-1
  11. Lalji, S.M., Ali, S.I., Haneef, J. et al. Changes in Pakistan crude oil properties contaminated by waterbased drilling fluids with varying KCL concentrations. Chem. Pap. 76, 4189–4201 (2022). https://doi.org/10.1007/s11696-022-02154-8
  12. Lalji, S.M., Ali, S.I., Sohail, H. et al. Combine effect of graphene oxide, pure-bore and sodium alginate on rheological and filtration properties and cutting carrying capacity of water-based drilling fluid. Chem. Pap. (2022). https://doi.org/10.1007/s11696-022-02337-3
  13. Ali, S.I., Lalji, S.M., Haneef, J. et al. Determination of Asphaltene Stability in crude oils using a deposit level test coupled with a spot test: A simple and Qualitative approach. ACS OMEGA, 6, 16, 14165-14179. https://doi.org/10.1021/acsomega.2c00777
  14. Ali, S.I., Lalji, S.M., Haneef, J. et al. Performance evaluation of asphaltene inhibitors using integrated method—ADT coupled with spot test. Arab J Geosci 15, 674 (2022). https://doi.org/10.1007/s12517- 022-09994-4
  15. Ali, S.I., Lalji, S.M., Awan, Z. et al. Performance analysis of kinetic models in predicting asphaltene precipitation rate under different conditions of temperature and percentage of precipitant molecular weight. Arab J Geosci 15, 1475 (2022). https://doi.org/10.1007/s12517-022-10761-8
  16. Ali, S.I., Lalji, S.M., Awan, Z. et al. Performance analysis of kinetic models in predicting asphaltene precipitation rate under different conditions of temperature and percentage of precipitant molecular weight. Arab J Geosci 15, 1475(2022).https://doi.org/10.1007/s12517-022-10761-8

 

Year 2023

  1. Ali, S.I., Lalji, S.M., Awan, Z. et al. ―Prediction of asphaltene stability in crude oils using machine learning algorithms‖, Chemo metrics and Intelligent Laboratory Systems, Vol 235, 104784 (2023) https://doi.org/10.1016/j.chemolab.2023.104784
  2. Ali, S.I., Lalji, S.M., Awan, Z. et al. ―Evaluation of different parameters affecting the performance of asphaltene controlling chemical additives in crude oils using multiple experimental approaches assisted with image processing technique‖, Geoenergy Science and Engineering 225, 211676, (2023) https://doi.org/10.1016/j.geoen.2023.211676
  3. Lalji, S.M., Ali, S. I. & Asad, M. Experimental Effect of Biopolymers, Synthetic and Modified Polymers on Western Pakistan Shale (GHAZIJ) Stability. Arab J Sci Eng 48, 16639–16653 (2023). https://doi.org/10.1007/s13369-023-07737-5
  4. Lalji, S.M., Ali, S.I., Khan, M.A. et al. Investigation of rheological behavior, filtration characteristics and microbial activity of biopolymer water-based drilling fluids containing monovalent and divalent cations. Chem. Pap. 77, 4693–4704 (2023). https://doi.org/10.1007/s11696-023-02819-y
  5. Ali, S.I., Lalji, S.M., Awan, Z. et al. Comprehensive performance analysis of kinetic models used to estimate asphaltene adsorption kinetics on nanoparticles. Chem. Pap. 77, 1017–1031 (2023). https://doi.org/10.1007/s11696-022-02539-9
  6. Lalji, S.M., Ali, S.I., Ullah, R. et al. Experimental investigation of rheological behavior and stability of mud system using novel image processing application in presence of activated carbon and silica-coated iron oxide nanoparticles. Appl Nanosci 13, 6405–6420 (2023). https://doi.org/10.1007/s13204-023- 02935-x
  7. Ali, S.I., Lalji, S.M., Rizwan, M. et al. Factorial Analysis of Experimental Parameters Effecting Asphaltene Precipitation in Dead Crude Oils. Arab J Sci Eng 48, 9519–9533 (2023). https://doi.org/10.1007/s13369-023-07702-2
  8. Lalji, S.M., Ali, S.I. & Khan, M.A. Study of Rheological Characteristics of a Water-Based Drilling Fluid in Presence of Biopolymers, Synthetic Polymer, and Modified Natural Polymer. Pet. Chem. 63, 906–916 (2023). https://doi.org/10.1134/S0965544123060178
  9. Lalji, S.M., Ali, S.I., Yousufi, M.M. et al. Factorial analysis for the impact on filtration properties of water-based drilling fluid after the addition of graphene oxide, pure-bore, and sodium alginate. Arab J Geosci 16, 132 (2023). https://doi.org/10.1007/s12517-023-11227-1
  10. Ali, S.I., Lalji, S.M., Haneef, J. et al. HSE hazard ranking of chemicals related to Petroleum Drilling Laboratory of University using Fuzzy TOPSIS. OPSEARCH 60, 1386–1406 (2023). https://doi.org/10.1007/s12597-023-00666-9
  11. Lalji, S.M., Ali, S.I., Hussain, S. et al. Variations in cold flow and physical properties of Northern Pakistan gas condensate oil after interacting with different polymeric drilling mud systems. Arab J Geosci 16, 477 (2023). https://doi.org/10.1007/s12517-023-11589-6
  12. Lalji, S.M., Ali, S.I., Khan, M.A. et al. Statistical approach used to evaluate the performances of different diffusion correlations in modeling Pakistan shale swelling characteristics. Chem. Pap. 77, 4705–4717(2023). https://doi.org/10.1007/s11696-023-02820-5
  13. Lalji, S.M., Ali, S.I., Asad, M. et al. Earth’s Magnetic Declination Error Influence on Wellbore Positioning in Pakistan Region and Norwegian Sea. Case Study. Geomagn. Aeron. 63 (Suppl 1), S59– S70 (2023).https://doi.org/10.1134/S0016793223601138

Year 2024

  1. Arain, A. H., Negash, B. M., Farooqi, A. S., & Alshareef, R. S. (2024). Improving Oil Recovery through Low Salinity Waterflooding and Nanoparticles: A Mini Review. Energy & Fuels, 38(18), 17109-17127. https://doi.org/10.1021/acs.energyfuels.4c01135
  2. Arain, A. H., Negash, B. M., Yekeen, N., Farooqi, A. S., & Alshareef, R. S. (2024). Synergising nanoparticles and low salinity waterflooding for enhanced oil recovery: A state-of-the-art review. Journal of Molecular Liquids, 400, 124495. https://doi.org/https://doi.org/10.1016/j.molliq.2024.124495
  3. Rasool, M.H., Jaffari, R., Ahmad, M., Siddiqui, N.A., Junejo, A.Z., Abbas, M.A., (2024). Novel Deep Learning Framework for Efficient Pressure Zone Detection Via Analysis of Pore Pressure Profiling. Arab J Sci Eng 50, 237–248 (2025). https://doi.org/10.1007/s13369-024-09052-z
  4. Khan, Munira Akhtar, _, Ayesha, Siddiqui, Rida, Lalji, Shaine Mohammadali, Ali, Syed Imran, Haneef, Javed, and Muhammad Adeem Abbas (2024). Extraction of Halophytic Oil and its Application in the Formulation Of Oil-Based Mud System. Paper presented at the International Petroleum Technology Conference, Dhahran, Saudi Arabia, February 2024. https://doi.org/10.2523/IPTC-24212-MS
  5. Ali, S.I., Lalji, S.M., Hashmi, S. et al. quantification and ranking of oilfield sand wells facing asphaltene deposition problem using fuzzy TOPSIS coupled with AHP, Ain Shams Engineering Journal 15(1),102289,(2024), https://doi.org/10.1016/j.asej.2023.102289
  6. Ali, S.I., Lalji, S.M., Haider, S.A., et al. ―Risk prioritization in acore preparation experiment using fuzzy VIKOR integrated with Shannon entropy method‖, Ain Shams Engineering Journal 15 (2), (2024), https://doi.org/10.1016/j.asej.2023.102421
  7. Huang, X., Dai, Z., Zhang, C., et al. ―Improving the performance of a polyamine shale inhibitor by introducing a hydrophobic group in oil and gas development‖, FUEL 235, 129435, https://doi.org/10.1016/j.fuel.2023.129435
  8. Lashari, Z. A., Lalji, S. M., Ali, S. I. et al. Physiochemical analysis of titanium dioxide and polyacrylamide nano fluid for enhanced oil recovery at low salinity. Chem. Pap. (2024). https://doi.org/10.1007/s11696-024-03334-4
  9. Lalji, S. M., Ali, S. I. & Lashari, Z. A. Synthesized silica-coated iron oxide nanoparticles and its application as rheology modifier in water-based drilling fluid. Chem. Pap. (2024). https://doi.org/10.1007/s11696-024-03317-5
  10. Ali, S.I., Lalji, S.M., Ali, S.M., et al., ―Risk ranking of rig up operation activities using multi-criteria decision-making methods based on fuzzy environment‖, Journal of Engineering Research, (2024), https://doi.org/10.1016/j.jer.2024.01.011
  11. Lalji, S.M., Haneef, J. & Hashmi, S. Exploring the effect of AC/TiO2 nanoparticles and Polyanionic cellulose on water-based drilling fluid properties: an integrated approach of experiment and CCD. Chem. Pap. (2024). https://doi.org/10.1007/s11696-023-03270-9
  12. Haider, G., Lalji, S. M., Ali, S. I. et al. Synthesis of coal-bio mass blended fuel through coal-wet briquetting technology. Arab J Geosci 17, 111 (2024). https://doi.org/10.1007/s12517-024-11922-7
  13. Lalji, S.M., Haneef, J. & Hashmi, S. Formulation of a newly developed shale-swelling model as a function of compaction pressure and temperature. Multiscale and Multidiscip. Model. Exp. and Des. (2024). https://doi.org/10.1007/s41939-024-00390-x
  14. Lalji, S.M., Haneef, J. & Hashmi, S. Mitigating Paleocene age Ranikot shale formation swelling characteristics using carbon supported anatase-titanium dioxide (MWCNT/TiO2, GO/TiO2 and AC/TiO2) nanomaterial water-based mud—chemical and rock interaction study. Chem. Pap. (2024). https://doi.org/10.1007/s11696-024-03396-4
  15. Ali, S.I., Lalji, S.M., Ahsan, U. et al. Predicting asphaltene adsorption on Fe3O4 nanoparticle using machine learning algorithms. Arab J Geosci 17, 143 (2024). https://doi.org/10.1007/s12517-024- 11943-2
  16. Lalji, S.M., Haneef, J. & Hashmi, S. Application of graphene oxide/titanium dioxide nanoparticle on the rheological, filtration and shale swelling characteristics in water-based mud system: experimental and full factorial design study. Chem. Pap. (2024). https://doi.org/10.1007/s11696-024-03454-x
  17.  Asad, M., Lalji, S.M., Ali, S.I. et al. Influence of green chemicals, biopolymers, and nanoparticles on torque and drag forces during drilling activity. Chem. Pap. (2024). https://doi.org/10.1007/s11696- 024-03469-4
  18. Lalji, S.M., Ali, S.I., Ali, S.M. et al. Investigation of silica coated iron oxide nanoparticles and activated carbon as a potential fluid loss additive and Pakistan shale inhibitor in water-based mud system coupled with advance image processing technique. Chem. Pap. (2024). https://doi.org/10.1007/s11696-024-03505-3
  19. Khan, M.A., M.-C.L., Kaihe Lv, et al. Cellulose derivatives as environmentally friendly additives in water-based drilling fluids: A review, Carbohydrate Polymers, 2024. 342 (122355). https://doi.org/10.1016/j.carbpol.2024.122355
  20. Lalji, S.M., Ali, S.I., Khan, M.A. et al. Combined effect of quaternary amine [NR4] + solution and Polyanionic cellulose on shale inhibition behavior. Chem. Pap. (2024). https://doi.org/10.1007/s11696-024-03608-x
  21. Lalji, S.M., Haneef, J. & Hashmi, S. Improving the characteristics of water-based mud using titanium dioxide doped with activated carbon prepared from grapefruit waste material. Chem. Pap. 78, 7651– 7665 (2024). https://doi.org/10.1007/s11696-024-03629-6
  22. Khan, M. A., S. M. Lalji, S. I. Ali, M.-C. Li and M. Burney (2024). "Application of Hydrothermal Synthesized Titanium Dioxide – Doped Multi walled Carbon Nanotubes on Filtration Properties Response Surface Methodology Study."ACS Omega 9 (32): 34765- 34776.https://doi.org/10.1021/acsomega.4c04177
  23. Lalji, S.M., Ali, S.I., Lashari, Z.A. et al. Performance evaluation of Si/Fe3O4 nanoparticles in waterbased mud in presence of different Mg2+, K+ , Na+ salts: experimental and stability visualization study. Chem. Pap. (2024). https://doi.org/10.1007/s11696-024-03678-x
  24. Kanwal, F., Lalji, S. M., Ali, S. I. et al. Flaxseed mucilage—a green additive for the enhancement of water-based mud system characteristics. Arab J Geosci 17, 256 (2024). https://doi.org/10.1007/s12517-024-12061-9
  25. Khan M.A., Abbasi, F.A, Lalji, S.M., Ali, S.I., Li, M.-C., Mateen, M., Mustafa, M, A., Novel Technique in Determining Mud Cake Permeability in SiO2 Nanoparticles and KCl Salt Water Based Drilling Fluid using Deep Learning Algorithm. Int. J. Pet. Technol. [Internet]. 2024 Oct. 28 [cited 2024 Nov. 5]; 11: 29-3. Available from: https://avantipublishers.com/index.php/ijpt/article/view/1549
  26. Abbasi, F.A., Sajjad, A., Ayubi, M. et al. Predicting permeability in sandstone reservoirs from mercury injection capillary pressure data using advanced machine learning algorithms. Arab J Geosci 17, 329 (2024). https://doi.org/10.1007/s12517-024-12145-6
  27. Ali, S.I., Lalji, S.M., Awan, Z. et al. Understanding live oil composition effect on asphaltene precipitation as a function of temperature change during depressurization using machine learning techniques. Chem. Pap. (2024). https://doi.org/10.1007/s11696-024-03784-w
  28. Lalji, S.M., Ayubi, M., Ali, S.I. et al. Investigating different kinetic models for CO2 adsorption on amine silica sorbent. Discov. Chem. 1, 71 (2024). https://doi.org/10.1007/s44371-024-00077-9

          Year 2025

  1. Lalji, S.M., Ali, S.I., Ayubi, M. et al. Introducing a novel nano-based drilling fluid: synergic use of murree shale, titanium dioxide, and graphene oxide nanoparticles. Multiscale and Multidiscip. Model. Exp. and Des. 8, 6 (2025). https://doi.org/10.1007/s41939-024-00611-3
  2. Lalji, S.M., Ali, S.I., Ayubi, M. et al. Introducing a novel nano-based drilling fluid: synergic use of murree shale, titanium dioxide, and graphene oxide nanoparticles. Multiscale and Multidiscip. Model. Exp. and Des. 8, 6 (2025). https://doi.org/10.1007/s41939-024-00611-3
  3. Lashari, Z.A., Aamir, M., Kumar, B. et al. Stability analysis of nanofluid with aluminum oxide and polyacrylamide for enhanced oil recovery: insight into experimental investigation. Multiscale and Multidiscip. Model. Exp. and Des. 8, 63 (2025). https://doi.org/10.1007/s41939-024-00654-6
  4. Mohammadali, S., Haneef, J. & Hashmi, S. Investigating the influence of rutile-Tio2 and MWCNTs composite on shale swelling and mechanical properties. Chem. Pap. (2025). https://doi.org/10.1007/s11696-025-03888-x