| A core logging, machine learning and geostatistical modeling interactive approach for subsurface imaging of lenticular geobodies in a clastic depositional system, SE Pakistan U Ashraf, H Zhang, A Anees, HN Mangi, M Ali, X Zhang, M Imraz, ... Natural Resources Research 30, 2807-2830, 2021 | 120 | 2021 |
| Machine learning-A novel approach of well logs similarity based on synchronization measures to predict shear sonic logs M Ali, R Jiang, H Ma, H Pan, K Abbas, U Ashraf, J Ullah Journal of Petroleum Science and Engineering 203, 108602, 2021 | 109 | 2021 |
| Controls on reservoir heterogeneity of a shallow-marine reservoir in Sawan Gas Field, SE Pakistan: Implications for reservoir quality prediction using acoustic impedance inversion U Ashraf, H Zhang, A Anees, M Ali, X Zhang, S Shakeel Abbasi, ... Water 12 (11), 2972, 2020 | 99 | 2020 |
| Application of unconventional seismic attributes and unsupervised machine learning for the identification of fault and fracture network U Ashraf, H Zhang, A Anees, H Nasir Mangi, M Ali, Z Ullah, X Zhang Applied Sciences 10 (11), 3864, 2020 | 90 | 2020 |
| Building a rock physics model for the formation evaluation of the Lower Goru sand reservoir of the Southern Indus Basin in Pakistan M Ali, H Ma, H Pan, U Ashraf, R Jiang Journal of Petroleum Science and Engineering 194, 107461, 2020 | 80 | 2020 |
| Application of machine learning for lithofacies prediction and cluster analysis approach to identify rock type M Hussain, S Liu, U Ashraf, M Ali, W Hussain, N Ali, A Anees Energies 15 (12), 4501, 2022 | 50 | 2022 |
| Measurements and determinants of extreme multidimensional energy poverty using machine learning K Abbas, KM Butt, D Xu, M Ali, K Baz, SH Kharl, M Ahmed Energy 251, 123977, 2022 | 49 | 2022 |
| Evaluation of the geothermal parameters to decipher the thermal structure of the upper crust of the Longmenshan fault zone derived from borehole data J Ullah, M Luo, U Ashraf, H Pan, A Anees, D Li, M Ali, J Ali Geothermics 98, 102268, 2022 | 45 | 2022 |
| Classification of reservoir quality using unsupervised machine learning and cluster analysis: Example from Kadanwari gas field, SE Pakistan N Ali, J Chen, X Fu, W Hussain, M Ali, SM Iqbal, A Anees, M Hussain, ... Geosystems and Geoenvironment 2 (1), 100123, 2023 | 44 | 2023 |
| Petrophysical analysis of well logs for reservoir evaluation: a case study of “Kadanwari” gas field, middle Indus basin, Pakistan M Ali, MJ Khan, M Ali, S Iftikhar Arabian Journal of Geosciences 12, 1-12, 2019 | 38 | 2019 |
| A novel machine learning approach for detecting outliers, rebuilding well logs, and enhancing reservoir characterization M Ali, P Zhu, M Huolin, H Pan, K Abbas, U Ashraf, J Ullah, R Jiang, ... Natural Resources Research 32 (3), 1047-1066, 2023 | 37 | 2023 |
| Reservoir characterization through comprehensive modeling of elastic logs prediction in heterogeneous rocks using unsupervised clustering and class-based ensemble machine learning M Ali, P Zhu, R Jiang, M Huolin, M Ehsan, W Hussain, H Zhang, U Ashraf, ... Applied Soft Computing, 110843, 2023 | 33 | 2023 |
| Hydrocarbon potential assessment of carbonate-bearing sediments in a meyal oil field, Pakistan: Insights from logging data using machine learning and quanti elan modeling J Ali, U Ashraf, A Anees, S Peng, MU Umar, H Vo Thanh, U Khan, ... ACS omega 7 (43), 39375-39395, 2022 | 29 | 2022 |
| Estimation of porosity and facies distribution through seismic inversion in an unconventional tight sandstone reservoir of Hangjinqi area, Ordos basin U Ashraf, A Anees, W Shi, R Wang, M Ali, R Jiang, H Vo Thanh, I Iqbal, ... Frontiers in Earth Science 10, 1014052, 2022 | 29 | 2022 |
| Prediction of Cretaceous reservoir zone through petrophysical modeling: Insights from Kadanwari gas field, Middle Indus Basin N Ali, J Chen, X Fu, W Hussain, M Ali, M Hussain, A Anees, M Rashid, ... Geosystems and Geoenvironment 1 (3), 100058, 2022 | 29 | 2022 |
| Machine learning-a novel approach to predict the porosity curve using geophysical logs data: An example from the Lower Goru sand reservoir in the Southern Indus Basin, Pakistan W Hussain, M Luo, M Ali, SM Hussain, S Ali, S Hussain, AF Naz, ... Journal of Applied Geophysics 214, 105067, 2023 | 23 | 2023 |
| Quantitative characterization of shallow marine sediments in tight gas fields of middle indus basin: a rational approach of multiple rock physics diagnostic models M Ali, U Ashraf, P Zhu, H Ma, R Jiang, G Lei, J Ullah, J Ali, H Vo Thanh, ... Processes 11 (2), 323, 2023 | 17 | 2023 |
| Prospect evaluation of the cretaceous Yageliemu clastic reservoir based on geophysical log data: a case study from the Yakela gas condensate field, Tarim Basin, China W Hussain, M Ehsan, L Pan, X Wang, M Ali, SU Din, H Hussain, A Jawad, ... Energies 16 (6), 2721, 2023 | 16 | 2023 |
| Data-driven lithofacies prediction in complex tight sandstone reservoirs: a supervised workflow integrating clustering and classification models M Ali, P Zhu, R Jiang, M Huolin, U Ashraf, H Zhang, W Hussain Geomechanics and Geophysics for Geo-Energy and Geo-Resources 10 (1), 1-23, 2024 | 15 | 2024 |
| Reservoir rock typing assessment in a coal-tight sand based heterogeneous geological formation through advanced AI methods U Ashraf, W Shi, H Zhang, A Anees, R Jiang, M Ali, HN Mangi, X Zhang Scientific Reports 14 (1), 5659, 2024 | 14 | 2024 |
Umar AshrafYunnan University I Guest Editor: JPEPT (Springer) I Top 2% Global Scientists 2024 IVerified email at ynu.edu.cn