| Discriminating induced seismicity from natural earthquakes using moment tensors and source spectra H Zhang, DW Eaton, G Li, Y Liu, RM Harrington Journal of Geophysical Research: Solid Earth 121 (2), 972-993, 2016 | 129 | 2016 |
| Induced seismicity characterization during hydraulic‐fracture monitoring with a shallow‐wellbore geophone array and broadband sensors DW Eaton, N Igonin, A Poulin, R Weir, H Zhang, S Pellegrino, ... Seismological Research Letters 89 (5), 1641-1651, 2018 | 113 | 2018 |
| Source‐mechanism analysis and stress inversion for hydraulic‐fracturing‐induced event sequences near Fox Creek, Alberta H Zhang, DW Eaton, G Rodriguez, SQ Jia Bulletin of the Seismological Society of America 109 (2), 636-651, 2019 | 79 | 2019 |
| Inversion for Shear‐Tensile Focal Mechanisms Using an Unsupervised Physics‐Guided Neural Network H Zhang, KA Innanen, DW Eaton Seismological Research Letters 92 (4), 2282-2294, 2021 | 8 | 2021 |
| Source mechanism and stress inversion for hydraulic fracturing induced microseismicity in Glutenite reservoir R Feng, S Memon, L Zeng, Q Xie, SQ Jia, H Zhang, D Du, W Pu, J Sarout, ... SPE Asia Pacific Oil and Gas Conference and Exhibition, D012S002R006, 2020 | 8 | 2020 |
| A regularized approach for estimation of a composite focal mechanism from a set of microearthquakes H Zhang, DW Eaton Geophysics 83 (5), KS65-KS75, 2018 | 7 | 2018 |
| Time difference-based velocity model inversion for microseismic event location Y Tan, C He, H Zhang SEG International Exposition and Annual Meeting, SEG-2013-0165, 2013 | 6 | 2013 |
| A physics-guided neural network-based approach to velocity model calibration for microseismic data H Zhang, J Akram, KA Innanen Geophysical Prospecting, 2022 | 4 | 2022 |
| Velocity model inversion for microseismic monitoring based on Occam inversion algorithm [J] Z ZHAO, Y TAN, H ZHANG Acta Scientiarum Naturalium Universitatis Pekinensis 51 (1), 43-49, 2015 | 4 | 2015 |
| Induced Seismicity Near Fox Creek, Alberta: Interpretation of Source Mechanisms H Zhang, DW Eaton SPE/AAPG/SEG Unconventional Resources Technology Conference, D023S044R003, 2018 | 3 | 2018 |
| A machine learning-based study of multifactor susceptibility and risk control of induced seismicity in unconventional reservoirs G Hui, ZX Chen, H Wang, ZJ Song, SH Wang, HL Zhang, DM Zhang, F Gu Petroleum Science 20 (4), 2232-2243, 2023 | 2 | 2023 |
| Simultaneous Bayesian inversion for effective anisotropy parameters and source locations: a physical modelling study H Zhang, J Dettmer, J Wong, KA Innanen Geophysical Journal International 230 (1), 145-159, 2022 | | 2022 |
| Traveltime computation using a supervised learning approach J Akram, DB Peter, DW Eaton, H Zhang First International Meeting for Applied Geoscience & Energy, 1696-1700, 2021 | | 2021 |
| Bayesian source-mechanism inversion for microearthquakes H Zhang, J Akram, J Dettmer, KA Innanen First International Meeting for Applied Geoscience & Energy, 2036-2040, 2021 | | 2021 |
| Bayesian inversion for elastic properties and microseismic event locations in HTI media: A physical modeling study H Zhang, J Dettmer, J Wong, KA Innanen SEG Technical Program Expanded Abstracts 2020, 2120-2124, 2020 | | 2020 |
| Enhanced source hardware and tank for physical modelling J Wong, K Bertram, H Zhang, K Hall, K Innanen CREWES Research Report, 2020 | | 2020 |
| Moment tensor and stress inversion based on hydraulic-fracturing induced events H Zhang, DW Eaton SEG International Exposition and Annual Meeting, SEG-2018-2989220, 2018 | | 2018 |
| Bayesian inversion for source mechanisms of microearthquakes H Zhang, KA Innanen | | |
| Simultaneous Bayesian inversion for effective anisotropic parameters and microseismic event locations: a physical modelling study H Zhang, J Dettmer, J Wong, KA Innanen | | |
| Physics-guided neural network for velocity calibration using downhole microseismic data H Zhang, J Akram, KA Innanen | | |
