| The influence of complicated fluid-rock interactions on the geothermal exploitation in the CO2 plume geothermal system G Cui, S Ren, Z Rui, J Ezekiel, L Zhang, H Wang Applied Energy 227, 49-63, 2018 | 180 | 2018 |
| Role of heterogeneous surface wettability on dynamic immiscible displacement, capillary pressure, and relative permeability in a CO2-water-rock system R Guo, L Dalton, D Crandall, J McClure, H Wang, Z Li, C Chen Advances in Water Resources 165, 104226, 2022 | 51 | 2022 |
| Deep-learning-based workflow for boundary and small target segmentation in digital rock images using UNet++ and IK-EBM H Wang, L Dalton, M Fan, R Guo, J McClure, D Crandall, C Chen Journal of Petroleum Science and Engineering 215, 110596, 2022 | 45 | 2022 |
| Investigation of Properties Alternation during Super-Critical CO2 Injection in Shale S Wang, K Liu, J Han, K Ling, H Wang, B Jia Applied Sciences 9 (8), 1686, 2019 | 36 | 2019 |
| Laboratory experiment, production performance prediction model, and field application of multi-slug microbial enhanced oil recovery M Cheng, G Lei, J Gao, T Xia, H Wang Energy & fuels 28 (10), 6655-6665, 2014 | 19 | 2014 |
| A comprehensive review of efficient capacity estimation for large-scale CO2 geological storage J Leng, A Bump, SA Hosseini, TA Meckel, Z Wang, H Wang Gas Science and Engineering, 205339, 2024 | 17 | 2024 |
| Underground hydrogen storage: a recovery prediction using pore network modeling and machine learning Q Zhao, H Wang, C Chen Fuel 357, 130051, 2024 | 14 | 2024 |
| Thermal stability enhancement of guar‐based hydraulic fracturing fluids by phosphate treatment X Ma, H Wang, WW Boyd, M Cheng, C Yao, G Lei Journal of Applied Polymer Science 136 (9), 47119, 2019 | 14 | 2019 |
| Machine learning and deep learning for mineralogy interpretation and CO2 saturation estimation in geological carbon Storage: A case study in the Illinois Basin H Wang, S Williams-Stroud, D Crandall, C Chen Fuel 361, 130586, 2024 | 13 | 2024 |
| An economical and technical analysis of oil and gas resources of central Asia under demand and Supply Dynamics of world hydrocarbon production C Temizel, CH Canbaz, Y Palabiyik, R Moreno, AK Najy, J Xie, H Wang, ... SPE Annual Caspian Technical Conference, D033S012R001, 2018 | 13 | 2018 |
| Deep learning to estimate permeability using geophysical data MK Mudunuru, ELD Cromwell, H Wang, X Chen Advances in Water Resources 167, 104272, 2022 | 12 | 2022 |
| Application of unsupervised deep learning to image segmentation and in-situ contact angle measurements in a CO2-water-rock system H Wang, L Dalton, R Guo, J McClure, D Crandall, C Chen Advances in Water Resources 173, 104385, 2023 | 10 | 2023 |
| A novel granular profile control agent for steam flooding: synthesis and evaluation H Wang, M Rabiei, G Lei, S Wang SPE Western Regional Meeting, D031S003R005, 2017 | 10 | 2017 |
| Microfluidic insights into CO2 sequestration and enhanced oil recovery in laminated shale reservoirs: Post-fracturing interface dynamics and micro-scale mechanisms L Li, D Zhang, Y Su, X Zhang, M Lu, H Wang Advances in Geo-Energy Research 13 (3), 203-217, 2024 | 8 | 2024 |
| A deep learning-based workflow for fast prediction of 3D state variables in geological carbon storage: A dimension reduction approach H Wang, SA Hosseini, AM Tartakovsky, J Leng, M Fan Journal of Hydrology 636, 131219, 2024 | 8 | 2024 |
| Fracture Quantification Method with 3D X-Ray Image-Entropy-Assisted Indicator Kriging Method H Wang, M Rabiei, S Wang, G Cui SPE Western Regional Meeting, D031S004R008, 2018 | 7 | 2018 |
| Advancing spatiotemporal forecasts of CO2 plume migration using deep learning networks with transfer learning and interpretation analysis M Fan, H Wang, J Zhang, SA Hosseini, D Lu International Journal of Greenhouse Gas Control 132, 104061, 2024 | 4 | 2024 |
| Recovery Potential and Mechanism Investigation of the Supercritical CO2 EOR in the Bakken Tight Formation S Wang, J Han, Y Wang, K Ling, B Jia, H Wang, Y Long Carbon Management Technology Conference, CMTC-579484-MS, 2019 | 3 | 2019 |
| Comparative Assessment of U-Net-Based Deep Learning Models for Segmenting Microfractures and Pore Spaces in Digital Rocks H Wang, R Guo, LE Dalton, D Crandall, SA Hosseini, M Fan, C Chen SPE Journal 29 (11), 5779-5791, 2024 | 2 | 2024 |
| A Comparative Study of Deep Learning Models for Fracture and Pore Space Segmentation in Synthetic Fractured Digital Rocks H Wang, R Guo, J Leng, SA Hosseini, M Fan SPE Annual Technical Conference and Exhibition?, D021S028R006, 2023 | 2 | 2023 |
Cheng ChenAssociate Professor, Stevens Institute of Technology確認したメール アドレス: stevens.edu
