| Insight into the nanoscale pore structure of organic-rich shales in the Bakken Formation, USA X Wang, J Hou, S Li, L Dou, S Song, Q Kang, D Wang Journal of Petroleum Science and Engineering 191, 107182, 2020 | 101 | 2020 |
| Combining pressure-controlled porosimetry and rate-controlled porosimetry to investigate the fractal characteristics of full-range pores in tight oil reservoirs X Wang, J Hou, S Song, D Wang, L Gong, K Ma, Y Liu, Y Li, L Yan Journal of Petroleum Science and Engineering 171, 353-361, 2018 | 99 | 2018 |
| Lithology identification using well logs: A method by integrating artificial neural networks and sedimentary patterns X Ren, J Hou, S Song, Y Liu, D Chen, X Wang, L Dou Journal of Petroleum Science and Engineering 182, 106336, 2019 | 97 | 2019 |
| GANSim: Conditional facies simulation using an improved progressive growing of generative adversarial networks (GANs) S Song, T Mukerji, J Hou Mathematical Geosciences, 1-32, 2021 | 60 | 2021 |
| Geological facies modeling based on progressive growing of generative adversarial networks (GANs) S Song, T Mukerji, J Hou Computational Geosciences 25, 1251-1273, 2021 | 56 | 2021 |
| Bridging the gap between geophysics and geology with generative adversarial networks S Song, T Mukerji, J Hou IEEE Transactions on Geoscience and Remote Sensing 60, 1-11, 2021 | 41 | 2021 |
| Geologist-level wireline log shape identification with recurrent neural networks S Song, J Hou, L Dou, Z Song, S Sun Computers & geosciences 134, 104313, 2020 | 30 | 2020 |
| Architectural features of fault-controlled karst reservoirs in the Tahe oilfield Y Li, J Sun, H Wei, S Song Journal of Petroleum Science and Engineering 181, 106208, 2019 | 27 | 2019 |
| GANSim‐3D for conditional geomodeling: theory and field application S Song, T Mukerji, J Hou, D Zhang, X Lyu Water Resources Research 58 (7), e2021WR031865, 2022 | 22 | 2022 |
| Paleokarst reservoir features and their influence on production in the Tahe Oilfield, Tarim basin, China Y Li, J Hou, J Sun, Z Kang, Y Liu, S Song, D Han Carbonates and Evaporites 33, 705-716, 2018 | 17 | 2018 |
| Sedimentary characteristics of hyperpycnites in a shallow lacustrine environment: A case study from the Lower Cretaceous Xiguayuan Formation, Luanping Basin, Northeast China L Dou, J Hou, S Song, L Zhang, Y Liu, S Sun, Y Li, X Wang, X Ren, ... Geological Journal 55 (5), 3344-3360, 2020 | 13 | 2020 |
| Sedimentary infill of shallow water deltaic sand bodies controlled by small-scale syndepositional faults related paleogeomorphology: Insights from the paleogene Shahejie … L Dou, J Hou, Y Liu, L Zhang, S Song, X Wang Marine and Petroleum Geology 118, 104420, 2020 | 12 | 2020 |
| Local optimization of DFN by integrating tracer data based on improved simulated annealing S Song, J Hou, S Sun, Y Li, X Wang, L Dou, Y Liu, Q Kang, S Huang Journal of Petroleum Science and Engineering 170, 858-872, 2018 | 4 | 2018 |
| Conditional facies modeling using an improved progressive growing of generative adversarial networks (GANs) S Song, T Mukerji, J Hou non-peer reviewed preprint submitted to EarthArXiv, DOI 10, 0 | 3 | |
| GANSim-surrogate: An integrated framework for stochastic conditional geomodelling S Song, D Zhang, T Mukerji, N Wang Journal of Hydrology 620, 129493, 2023 | 2 | 2023 |
| The investigation of normal fault under upwelling force and its critical stress state S Sui-hong, C Shu-ping, HE Ming-yu 地质力学学报 18 (2), 149-157, 2012 | 2 | 2012 |
| GANSim-surrogate: An integrated framework for conditional geomodelling and uncertainty analysis S Song, D Zhang, T Mukerji, N Wang EarthArXiv, 2022 | 1 | 2022 |
| A perfect play of salt, bamboo and gas: The first petroleum well (breakthrough) in the world S Song, J Hou, Y Liu, C Cao AAPG Annual Convention and Exhibition, 0 | 1 | |
| GANSim-surrogate: A combined framework for conditional geomodelling of subsurface reservoirs S Song, D Zhang, T Mukerji, N Wang AGU Fall Meeting Abstracts 2022, H33B-02, 2022 | | 2022 |
| Physics-Informed Multi-Grid Neural Operator: Theory and an Application to Porous Flow Simulation S Song, T Mukerji, D Zhang Available at SSRN 4696415, 0 | | |
