| Surfactant adsorption isotherms: A review S Kalam, SA Abu-Khamsin, MS Kamal, S Patil ACS omega 6 (48), 32342-32348, 2021 | 363 | 2021 |
| A review on surfactant retention on rocks: mechanisms, measurements, and influencing factors S Kalam, SA Abu-Khamsin, MS Kamal, S Patil Fuel 293, 120459, 2021 | 81 | 2021 |
| A review on non-aqueous fracturing techniques in unconventional reservoirs S Kalam, C Afagwu, J Al Jaberi, OM Siddig, Z Tariq, M Mahmoud, ... Journal of Natural Gas Science and Engineering 95, 104223, 2021 | 46 | 2021 |
| Carbon dioxide sequestration in underground formations: review of experimental, modeling, and field studies S Kalam, T Olayiwola, MM Al-Rubaii, BI Amaechi, MS Jamal, ... Journal of Petroleum Exploration and Production 11, 303-325, 2021 | 44 | 2021 |
| Pressure-transient analysis in shale gas reservoirs: A review C Afagwu, I Abubakar, S Kalam, SF Al-Afnan, AA Awotunde Journal of Natural Gas Science and Engineering 78, 103319, 2020 | 40 | 2020 |
| EOR Perspective of microemulsions: A review A Mahboob, S Kalam, MS Kamal, SMS Hussain, T Solling Journal of Petroleum Science and Engineering 208, 109312, 2022 | 39 | 2022 |
| A novel empirical correlation to predict the dew point pressure using intelligent algorithms MR Khan, S Kalam, Z Tariq, A Abdulraheem Abu Dhabi international petroleum exhibition and conference, D031S103R004, 2019 | 33 | 2019 |
| Impact of nanoparticles stability on rheology, interfacial tension, and wettability in chemical enhanced oil recovery: A critical parametric review N Lashari, T Ganat, KA Elraies, MA Ayoub, S Kalam, TA Chandio, ... Journal of Petroleum Science and Engineering 212, 110199, 2022 | 32 | 2022 |
| A novel empirical correlation for waterflooding performance prediction in stratified reservoirs using artificial intelligence S Kalam, SA Abu-Khamsin, HY Al-Yousef, R Gajbhiye Neural Computing and Applications 33 (7), 2497-2514, 2021 | 32 | 2021 |
| Comparative analysis of intelligent algorithms to predict the minimum miscibility pressure for hydrocarbon gas flooding MR Khan, S Kalam, RA Khan, Z Tariq, A Abdulraheem Abu Dhabi International Petroleum Exhibition and Conference, D022S180R002, 2019 | 32 | 2019 |
| An ANN model to predict oil recovery from a 5-spot waterflood of a heterogeneous reservoir S Kalam, U Yousuf, SA Abu-Khamsin, UB Waheed, RA Khan Journal of Petroleum Science and Engineering 210, 110012, 2022 | 31 | 2022 |
| Adsorption mechanisms of a novel cationic gemini surfactant onto different rocks S Kalam, SA Abu-Khamsin, MS Kamal, SMS Hussain, K Norrman, ... Energy & Fuels 36 (11), 5737-5748, 2022 | 28 | 2022 |
| Navigating viscosity of GO-SiO2/HPAM composite using response surface methodology and supervised machine learning models N Lashari, T Ganat, D Otchere, S Kalam, I Ali Journal of Petroleum Science and Engineering 205, 108800, 2021 | 27 | 2021 |
| Role of counterions and nature of spacer on foaming properties of novel polyoxyethylene cationic gemini surfactants S Kalam, MS Kamal, S Patil, SMS Hussain Processes 7 (8), 502, 2019 | 26 | 2019 |
| Experimental investigation of GO-HPAM and SiO2-HPAM composite for cEOR: Rheology, interfacial tension reduction, and wettability alteration D Kumar, T Ganat, N Lashari, MA Ayoub, S Kalam, TA Chandio, ... Colloids and Surfaces A: Physicochemical and Engineering Aspects 637, 128189, 2022 | 24 | 2022 |
| Data-driven modeling approach to predict the recovery performance of low-salinity waterfloods S Kalam, RA Khan, S Khan, M Faizan, M Amin, R Ajaib, SA Abu-Khamsin Natural Resources Research 30, 1697-1717, 2021 | 23 | 2021 |
| Impact of spacer nature and counter ions on rheological behavior of novel polymer-cationic gemini surfactant systems at high temperature S Kalam, MS Kamal, S Patil, SMS Hussain Polymers 12 (5), 1027, 2020 | 22 | 2020 |
| Oil/water interfacial tension in the presence of novel polyoxyethylene cationic gemini surfactants: impact of spacer length, unsaturation, and aromaticity LT Fogang, MS Kamal, SMS Hussain, S Kalam, S Patil Energy & Fuels 34 (5), 5545-5552, 2020 | 22 | 2020 |
| A novel correlation to predict gas flow rates utilizing artificial intelligence: an industrial 4.0 approach S Kalam, MR Khan, Z Tariq, FA Siddique, A Abdulraheem, RA Khan SPE/PAPG Pakistan Section Annual Technical Conference, SPE-201170-MS, 2019 | 22 | 2019 |
| New vision into relative permeability estimation using Artificial Neural Networks S Kalam, M Khan, M Mahmoud, RA Khan, SA Abu-Khamsin SPE Asia Pacific Oil and Gas Conference and Exhibition, D023S013R002, 2020 | 21 | 2020 |
Rizwan Ahmed KhanUnited Energy PakistanVerified email at uep.com.pk
