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 | 107 | 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 | 95 | 2021 |
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 | 40 | 2022 |
Sand-ratio distribution in an unconventional tight sandstone reservoir of Hangjinqi area, Ordos Basin: Acoustic impedance inversion-based reservoir quality prediction A Anees, H Zhang, U Ashraf, R Wang, HV Thanh, AE Radwan, J Ullah, ... Frontiers in Earth Science 10, 1018105, 2022 | 26 | 2022 |
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 | 25 | 2022 |
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 | 18 | 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 | 12 | 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 148, 110843, 2023 | 11 | 2023 |
Impacts of urbanization, LULC, LST, and NDVI changes on the static water table with possible solutions and water policy discussions: A case from Islamabad, Pakistan MT Sohail, Z Manzoor, M Ehsan, N Al-Ansari, MB Khan, A Shafi, J Ullah, ... Frontiers in Environmental Science 11, 1018500, 2023 | 6 | 2023 |
Knowledge-based machine learning for mineral classification in a complex tectonic regime of Yingxiu-Beichuan fault zone, Sichuan basin J Ullah, H Li, U Ashraf, P Heping, M Ali, M Ehsan, M Asad, A Anees, ... Geoenergy Science and Engineering 229, 212077, 2023 | 5 | 2023 |
A multidisciplinary approach to facies evaluation at regional level using well log analysis, machine learning, and statistical methods U Jar, L Huan, A Umar, E Muhsan, A Muhammad Geomechanics and Geophysics for Geo-Energy and Geo-Resources 152 (9), 2023 | 3 | 2023 |
Optimizing geothermal reservoir modeling: A unified bayesian PSO and BiGRU approach for precise history matching under uncertainty J Ullah, H Li, P Soupios, M Ehsan Geothermics 119, 102958, 2024 | 1 | 2024 |
Unconventional Reservoir Characterization of Patala Formation, Upper Indus Basin, Pakistan M Ehsan, R Chen, MAU Latif, K Abdelrahman, A Ali, J Ullah, MS Fnais ACS omega 9 (13), 15573-15589, 2024 | 1 | 2024 |
Harvesting Earth's heat: A deep learning Odyssey for reservoir characterization and sustainable geothermal energy management U Jar, H Li, HJ Förster, RM Abdalla, M Ahsan, M Faisal Geoenergy Science and Engineering, 212921, 2024 | | 2024 |
Aqsa Anees1, Hucai Zhang1, Umar Ashraf1, Ren Wang2, 3, Hung Vo Thanh4, Ahmed E. Radwan5, Jar Ullah6, Ghazanfer Raza Abbasi7, Ibrar Iqbal8, Nafees Ali9, 10, Xiaonan Zhang1 … A Anees, H Zhang, U Ashraf, R Wang, HV Thanh, AE Radwan, J Ullah, ... | | 2022 |