| Classification of reservoir facies using well log and 3D seismic attributes for prospect evaluation and field development: A case study of Sawan gas field, Pakistan U Ashraf, P Zhu, Q Yasin, A Anees, M Imraz, HN Mangi, S Shakeel Journal of Petroleum Science and Engineering 175, 338-351, 2019 | 135 | 2019 |
| Impact of thermal maturity on the diagenesis and porosity of lacustrine oil-prone shales: Insights from natural shale samples with thermal maturation in the oil generation window B Liu, Y Wang, S Tian, Y Guo, L Wang, Q Yasin, J Yang International Journal of Coal Geology 261, 104079, 2022 | 48 | 2022 |
| Knowledge-based machine learning techniques for accurate prediction of CO2 storage performance in underground saline aquifers HV Thanh, Q Yasin, WJ Al-Mudhafar, KK Lee Applied Energy 314, 118985, 2022 | 47 | 2022 |
| Application of robust intelligent schemes for accurate modelling interfacial tension of CO2 brine systems: Implications for structural CO2 trapping M Safaei-Farouji, HV Thanh, DS Dashtgoli, Q Yasin, AE Radwan, ... Fuel 319, 123821, 2022 | 45 | 2022 |
| Characterizing clay textures and their impact on the reservoir using deep learning and Lattice-Boltzmann simulation applied to SEM images N Golsanami, MN Jayasuriya, W Yan, SG Fernando, X Liu, L Cui, X Zhang, ... Energy 240, 122599, 2022 | 45 | 2022 |
| Prediction of reservoir quality from log-core and seismic inversion analysis with an artificial neural network: A case study from the Sawan Gas Field, Pakistan Z Qiang, Q Yasin, N Golsanami, Q Du Energies 13 (2), 486, 2020 | 43 | 2020 |
| Fracturing index-based brittleness prediction from geophysical logging data: application to Longmaxi shale Q Yasin, Q Du, GM Sohail, A Ismail Geomechanics and Geophysics for Geo-Energy and Geo-Resources 4, 301-325, 2018 | 43 | 2018 |
| Estimation of petrophysical parameters from seismic inversion by combining particle swarm optimization and multilayer linear calculator Q Yasin, GM Sohail, Y Ding, A Ismail, Q Du Natural Resources Research 29, 3291-3317, 2020 | 42 | 2020 |
| Impact of organic contents and brittleness indices to differentiate the brittle-ductile transitional zone in shale gas reservoir Q Yasin, Q Du, GM Sohail, A Ismail Geosciences Journal 21, 779-789, 2017 | 41 | 2017 |
| A new integrated workflow for improving permeability estimation in a highly heterogeneous reservoir of Sawan Gas Field from well logs data Q Yasin, Q Du, A Ismail, A Shaikh Geomechanics and Geophysics for Geo-Energy and Geo-Resources 5, 121-142, 2019 | 39 | 2019 |
| Application of machine learning tool to predict the porosity of clastic depositional system, Indus Basin, Pakistan Q Yasin, GM Sohail, P Khalid, S Baklouti, Q Du Journal of Petroleum Science and Engineering 197, 107975, 2021 | 36 | 2021 |
| Evaluation of shale gas reservoirs in complex structural enclosures: A case study from Patala Formation in the Kohat-Potwar Plateau, Pakistan Q Yasin, S Baklouti, P Khalid, SH Ali, CD Boateng, Q Du Journal of Petroleum Science and Engineering 198, 108225, 2021 | 33 | 2021 |
| An integrated petrophysical and geomechanical characterization of Sembar Shale in the Lower Indus Basin, Pakistan, using well logs and seismic data GM Sohail, CD Hawkes, Q Yasin Journal of Natural Gas Science and Engineering 78, 103327, 2020 | 32 | 2020 |
| A comparative study of empirical, statistical and virtual analysis for the estimation of pore network permeability A Ismail, Q Yasin, Q Du, AA Bhatti Journal of Natural Gas Science and Engineering 45, 825-839, 2017 | 31 | 2017 |
| Organic geochemical evaluation of Cretaceous Talhar Shale for shale oil and gas potential from Lower Indus Basin, Pakistan RS Awan, C Liu, N Aadil, Q Yasin, A Salaam, A Hussain, S Yang, ... Journal of Petroleum Science and Engineering 200, 108404, 2021 | 30 | 2021 |
| Data-driven sequence stratigraphy of the Cretaceous depositional system, Punjab Platform, Pakistan P Khalid, F Qayyum, Q Yasin Surveys in Geophysics 35, 1065-1088, 2014 | 28 | 2014 |
| Combining classification and regression for improving shear wave velocity estimation from well logs data Q Du, Q Yasin, A Ismail, GM Sohail Journal of Petroleum Science and Engineering 182, 106260, 2019 | 27 | 2019 |
| Integrating core and wireline log data to evaluate porosity of Jurassic formations of Injra-1 and Nuryal-2 wells, Western Potwar, Pakistan P Khalid, Q Yasin, GMD Sohail, JM Kashif Journal of the Geological Society of India 86, 553-562, 2015 | 26 | 2015 |
| An integrated fracture parameter prediction and characterization method in deeply-buried carbonate reservoirs based on deep neural network Q Yasin, Y Ding, S Baklouti, CD Boateng, Q Du, N Golsanami Journal of Petroleum Science and Engineering 208, 109346, 2022 | 22 | 2022 |
| Fracture prediction based on deep learning: Application to a buried hill carbonate reservoir in the S area Y Ding, QZ Du, Q Yasin, Q Zhang, L Liu Geophysical Prospecting for Petroleum 59 (2), 267-275, 2020 | 18 | 2020 |
Qizhen DuProfessor, China University of Petroleum, QingdaoVerified email at upc.edu.cn
