![Peidong Shi](https://profiles-cardiff.imgix.net/attachments/7187?w=200&h=200&auto=format&crop=faces&fit=crop&q=90")
Dr Peidong Shi
(e/fe)
- Ar gael fel goruchwyliwr ôl-raddedig
Timau a rolau for Peidong Shi
Darlithydd mewn Geoffiseg
Trosolwg
Mae fy ymchwil yn pontio geoffiseg, dysgu peiriannau, a gwyddoniaeth daeargryn, gan fynd i'r afael â heriau fel seismigrwydd ysgogedig, datrysiadau ynni cynaliadwy, a monitro seismig amser real. Gyda phrofiad ymchwil ar draws gwahanol sefydliadau yn ETH Zurich, ISTerre, a Phrifysgol Leeds, rwy'n ymroddedig i ymchwil sy'n integreiddio AI, gwyddor data, efeilliaid digidol, a chyfrifiadura perfformiad uchel i ymchwilio i brosesau deinamig y Ddaear, gyda ffocws ar ffiseg daeargryn, geo-beryglon ac atebion geo-ynni adnewyddadwy. Fy nod ymchwil yw hyrwyddo ein dealltwriaeth o brosesau ffisegol daeargryn ar gyfer lliniaru peryglon seismig ac optimeiddio prosiectau geo-ynni. Trwy ymchwil a chydweithrediadau rhyngwladol, rwy'n angerddol am yrru darganfyddiadau gwyddonol effeithiol ac ysbrydoli'r genhedlaeth nesaf o ymchwilwyr. Archwiliwch fy ymchwil, fy mhrosiectau a'm cyhoeddiadau i ddysgu sut y gallwn gydweithio tuag at ddyfodol mwy gwydn a chynaliadwy.
Cyfleoedd i ymuno â ni:
(1) Cyfleoedd PhD a ariennir yn llawn:
Ar gyfer myfyrwyr rhyngwladol (pob gwlad dramor) a'r DU sy'n chwilio am swydd PhD:
- MineSentinel: Monitro a Rhagfynegi wedi'u Pweru gan AI ar gyfer Mwyngloddio Mwynau Critigol Mwy Diogel a Chynaliadwy, rhaglen DTP TARGET, Dyddiad dechrau: 1 Hydref 2026, Dyddiad cau ceisiadau: Dydd Mercher 7 Ionawr 2026 (GMT), Porth Ceisiadau: gwiriwch https://target.le.ac.uk/how-to-apply/
- Datgloi'r Pos Rhagflaenydd Daeargryn: o Ganfod AI i Ffiseg Rhagflaenwyr, rhaglen DLTP GW4+, Dyddiad dechrau: 1 Hydref 2026, Dyddiad cau ceisiadau: Dydd Iau 8 Ionawr 2026 am 2359 (GMT), Porth Ceisiadau: gwiriwch yma.
- Delweddu sy'n dibynnu ar amser o ffracio a diffygion o seismigrwydd a achosir gan fwynglawdd, rhaglen DTP TARGET, Dyddiad dechrau: 1 Hydref 2026, Dyddiad cau ceisiadau: Dydd Mercher 7 Ionawr 2026 (GMT), Porth ceisiadau: gwiriwch https://target.le.ac.uk/how-to-apply/
Ar gyfer myfyrwyr Tsieineaidd sy'n chwilio am swydd PhD:
- Pynciau ar seismoleg daeargryn, AI, Geohazard, a Georesources, Ysgoloriaeth PhD Cyngor Ysgoloriaeth Tsieina, Dyddiad dechrau: 1 Hydref yn flynyddol, Dyddiad cau ymgeisio: Dechrau Tachwedd, Porth ceisio: cyswllt [email protected]
(2) Cyfleoedd Cydymaith Ymchwil Ôl-ddoethurol (PDRA) a ariennir yn llawn:
Ar gyfer ymchwilwyr byd-eang ac ymgeiswyr PhD (gyda gradd PhD neu a fydd yn derbyn y radd yn fuan):
- Cymrodoriaethau Ôl-ddoethurol Marie Skłodowska-Curie, Dyddiad cau ceisiadau: Medi bob blwyddyn. I wneud cais am y cynllun hwn, cysylltwch â [email protected] i drafod prosiectau a chael cefnogaeth.
- Cymrodoriaethau Rhyngwladol y Gymdeithas Frenhinol Newton, Dyddiad cau ar gyfer ceisiadau: Fel arfer yn gynnar ym mis Mawrth bob blwyddyn. I wneud cais am y cynllun hwn, cysylltwch â [email protected] i drafod prosiectau a chael cefnogaeth.
Ar gyfer ymchwilwyr Tsieineaidd ac ymgeiswyr PhD (gyda gradd PhD neu byddant yn derbyn y radd yn fuan):
- Cynllun Ôl-ddoethurol Cyngor Ysgoloriaethau Tsieineaidd, Dyddiad cau ceisio: gwiriwch wefan swyddogol. I wneud cais am y cynllun hwn, cysylltwch â [email protected] i drafod prosiectau a chael cefnogaeth.
(3) Cyfleoedd Ysgolheigion Gwadd a Myfyrwyr wedi'u hariannu'n llawn:
Ar gyfer ysgolheigion a myfyrwyr gwadd Tsieineaidd:
- Cynllun Ymweld Cyngor Ysgoloriaethau Tsieineaidd, dyddiad cau ceisiadau: edrychwch ar wefan swyddogol. I wneud cais am y cynllun hwn, cysylltwch â [email protected] i drafod prosiectau a chael cefnogaeth.
Cyhoeddiad
2025
- Ermert, L. A. et al., 2025. Toward a digital twin for seismic waves of induced events in a geothermal reservoir. Bulletin of the Seismological Society of America 115 (6), pp.2705-2720. (10.1785/0120250125)
- Schultz, R. et al., 2025. The bound growth of induced earthquakes could de-risk hydraulic fracturing. Communications Earth & Environment 6 995. (10.1038/s43247-025-02881-2)
- He, Y. et al., 2025. Experimental observation of moduli dispersion and attenuation at seismic frequencies in saturated tight rock: effect of microstructure and fluid viscosity. Geophysical Journal International 240 , pp.1308–1330. (10.1093/gji/ggae442)
2024
- Shi, P. et al. 2024. From labquakes to megathrusts: scaling deep learning based pickers over 15 orders of magnitude. Journal of Geophysical Research: Machine Learning and Computation 11 (4) e2024JH000220. (10.1029/2024JH000220)
- He, Y. -. et al., 2024. Experimental investigation of pore-filling substitution effect on frequency-dependent elastic moduli of Berea sandstone. Geophysical Journal International 238 (2), pp.902–921. (10.1093/gji/ggae195)
- He, Y. et al., 2024. Laboratory experiments and theoretical study of pressure and fluid influences on acoustic response in tight rocks with pore microstructure. Geophysical Prospecting 72 (5), pp.1896-1918. (10.1111/1365-2478.13466)
- Finger, C. et al., 2024. Spatio-temporal evolution of hypocenters and moment tensors derived from time-reverse imaging. Presented at: EGU General Assembly 2024 Vienna, Austria 14-19 April 2024. (10.5194/egusphere-egu24-14828)
- Shi, P. et al. 2024. Machine learning based real-time microseismic monitoring and stimulated fracture characterization at the Utah FORGE Geothermal site. Presented at: EGU General Assembly 2024 Vienna, Austria 14–19 Apr 2024. (10.5194/egusphere-egu24-15621)
- Parastatidis, E. et al., 2024. Multichannel coherence migration grid search (MCMgs) in locating microseismic events recorded by a surface array. Geophysical Journal International 236 (2), pp.1042–1052. (10.1093/gji/ggad465)
- Obermann Anne, A. et al., 2024. High-resolution seismic methods for geothermal exploration and monitoring across the Hengill volcanic area. Presented at: EGU General Assembly 2024 Vienna, Austria 14–19 Apr 2024. (10.5194/egusphere-egu24-21112)
2023
- Mohammadigheymasi, H. et al., 2023. IPIML: A deep-scan earthquake detection and location workflow Integrating Pair-Input deep learning model and Migration Location method. IEEE Transactions on Geoscience and Remote Sensing 61 (10.1109/tgrs.2023.3293914)
- He, Y. et al., 2023. A physical modelling study of waveform amplification effects of reservoir heterogeneity on time‐lapse seismic attribute analysis. Geophysical Prospecting 71 (2), pp.206-226. (10.1111/1365-2478.13298)
- Yan, B. , Ji, Y. and Shi, P. 2023. Frequency-dependent inversion based on spherical-wave reflection coefficient in elastic medium: Theory and methodology. Journal of Applied Geophysics 209 104908. (10.1016/j.jappgeo.2022.104908)
- De solda, M. et al., 2023. A deep learning-based workflow for microseismic event detection. Presented at: EGU General Assembly 2023 Vienna, Austria 23 - 28 April 2023. (10.5194/egusphere-egu23-1638)
- Ermert, L. et al., 2023. Modeling the waveforms of induced seismicity sequences with application to Utah FORGE. Presented at: EGU General Assembly 2023 Vienna, Austria 23 - 28 April 2023. (10.5194/egusphere-egu23-11883)
- Mohammadigheymasi, H. et al., 2023. An automated earthquake detection algorithm by combining pair-input deep learning and migration location methods. Presented at: EGU General Assembly 2023 Vienna, Austria 23 - 28 April 2023. (10.5194/egusphere-egu23-15180)
- Nakata, N. et al., 2023. Elastic Characterization at Utah FORGE: P-wave Tomography and VSP Subsurface Imaging. Presented at: 48th Workshop on Geothermal Reservoir Engineering California, USA 6-8 February 2023. Proceedings 48th Workshop on Geothermal Reservoir Engineering. Vol. 1.Stanford Geothermal Program. , pp.1159-1170.
- Shi, P. et al. 2023. Near-real-time microseismic monitoring with machine-learning and waveform back-projection at the Utah FORGE geothermal site. Presented at: EGU General Assembly 2023 Vienna, Austria 23 - 28 April 2023. (10.5194/egusphere-egu23-13227)
2022
- Obermann, A. et al., 2022. Combined large-N seismic arrays and DAS fiber optic cables across the Hengill geothermal field, Iceland. Seismological Research Letters 93 (5), pp.2498-2514. (10.1785/0220220073)
- Shi, P. et al. 2022. MALMI: An automated earthquake detection and location workflow based on machine learning and waveform migration. Seismological Research Letters 93 (5), pp.2467-2483. (10.1785/0220220071)
- Ermert, L. et al., 2022. Modeling induced micro-earthquakes for an experimental enhanced geothermal system site. Presented at: 20th Swiss Geoscience Meeting 2022 Lausanne, Switzerland 18-20 November 2022.
- Shi, P. et al. 2022. MALMI: towards combining machine learning and waveform migration for fully automated earthquake detection and location. Presented at: EGU General Assembly 2022 Vienna, Austria 23-27 May 2022. Copernicus {GmbH}(10.5194/egusphere-egu22-6087)
2021
- Shi, P. , Seydoux, L. and Poli, P. 2021. Unsupervised learning of seismic wavefield features: clustering continuous array seismic data during the 2009 L'Aquila earthquake. Journal of Geophysical Research: Solid Earth 126 (1) e2020JB020506. (10.1029/2020JB020506)
- Parastatidis, E. et al., 2021. Minimising the computational time of a waveform based location algorithm. Presented at: EGU General Assembly (online) 2021 Online 19 - 30 April 2021. (10.5194/egusphere-egu21-15664)
2020
- Li, L. et al., 2020. Recent advances and challenges of waveform‐based seismic location methods at multiple scales. Reviews of Geophysics 58 (1) e2019RG000667. (10.1029/2019RG000667)
- Yuan, S. et al., 2020. Goal-oriented inversion-based NMO correction using a Convex l 2,1 -norm. IEEE Geoscience and Remote Sensing Letters 17 (1), pp.162-166. (10.1109/LGRS.2019.2915520)
- Shi, P. , Seydoux, L. and Poli, P. 2020. Direct fault states assessment from wavefield properties: application to the 2009 L'Aquila earthquake. Presented at: EGU General Assembly 2020 Online 4-8 May 2020. (10.5194/egusphere-egu2020-11655)
2019
- Yuan, S. et al., 2019. Sparse bayesian learning-based seismic high-resolution time-frequency analysis. {IEEE} Geoscience and Remote Sensing Letters 16 (4), pp.623-627. (10.1109/lgrs.2018.2883496)
- Shi, P. et al. 2019. Automated seismic waveform location using multichannel coherency migration (MCM)–I: theory. Geophysical Journal International 216 (3), pp.1842-1866. (10.1093/gji/ggy132)
- Shi, P. et al. 2019. Automated seismic waveform location using Multichannel Coherency Migration (MCM)—II. Application to induced and volcano-tectonic seismicity. Geophysical Journal International 216 (3), pp.1608-1632. (10.1093/gji/ggy507)
- Wang, T. et al., 2019. AVAZ inversion for fracture weakness based on three-term Rüger equation. Journal of Applied Geophysics 162 , pp.184-193. (10.1016/j.jappgeo.2018.12.013)
2018
- Shi, P. et al. 2018. Fracture identification in a tight sandstone reservoir: A seismic anisotropy and automatic multisensitive attribute fusion framework. IEEE Geoscience and Remote Sensing Letters 15 (10), pp.1525-1529. (10.1109/LGRS.2018.2853631)
- Shi, P. et al. 2018. Microseismic full waveform modeling in anisotropic media with moment tensor implementation. Surveys in Geophysics: An International Review Journal Covering the Entire Field of Earth and Space Sciences 39 (4), pp.567–611. (10.1007/s10712-018-9466-2)
- Yuan, S. et al., 2018. Seismic waveform classification and first-break picking using convolution neural networks. IEEE Geoscience and Remote Sensing Letters 15 (2), pp.272-276. (10.1109/lgrs.2017.2785834)
- Shi, P. 2018. Microseismic full waveform modeling and location. PhD Thesis , University of Leeds.
2017
- Yan, B. et al., 2017. Improved eigenvalue-based coherence algorithm with dip scanning. Geophysics 82 (2), pp.1MA-Z12. (10.1190/geo2016-0149.1)
2014
- Chen, Y. et al., 2014. Irregular seismic data reconstruction using a percentile-half-thresholding algorithm. Journal of Geophysics and Engineering 11 (6) 065001. (10.1088/1742-2132/11/6/065001)
- Chuai, X. et al., 2014. Applications of texture attribute analysis to seismic interpretation. Journal of Central South University 21 (9), pp.3617–3626. (10.1007/s11771-014-2344-2)
Cynadleddau
- Finger, C. et al., 2024. Spatio-temporal evolution of hypocenters and moment tensors derived from time-reverse imaging. Presented at: EGU General Assembly 2024 Vienna, Austria 14-19 April 2024. (10.5194/egusphere-egu24-14828)
- Shi, P. et al. 2024. Machine learning based real-time microseismic monitoring and stimulated fracture characterization at the Utah FORGE Geothermal site. Presented at: EGU General Assembly 2024 Vienna, Austria 14–19 Apr 2024. (10.5194/egusphere-egu24-15621)
- Obermann Anne, A. et al., 2024. High-resolution seismic methods for geothermal exploration and monitoring across the Hengill volcanic area. Presented at: EGU General Assembly 2024 Vienna, Austria 14–19 Apr 2024. (10.5194/egusphere-egu24-21112)
- De solda, M. et al., 2023. A deep learning-based workflow for microseismic event detection. Presented at: EGU General Assembly 2023 Vienna, Austria 23 - 28 April 2023. (10.5194/egusphere-egu23-1638)
- Ermert, L. et al., 2023. Modeling the waveforms of induced seismicity sequences with application to Utah FORGE. Presented at: EGU General Assembly 2023 Vienna, Austria 23 - 28 April 2023. (10.5194/egusphere-egu23-11883)
- Mohammadigheymasi, H. et al., 2023. An automated earthquake detection algorithm by combining pair-input deep learning and migration location methods. Presented at: EGU General Assembly 2023 Vienna, Austria 23 - 28 April 2023. (10.5194/egusphere-egu23-15180)
- Nakata, N. et al., 2023. Elastic Characterization at Utah FORGE: P-wave Tomography and VSP Subsurface Imaging. Presented at: 48th Workshop on Geothermal Reservoir Engineering California, USA 6-8 February 2023. Proceedings 48th Workshop on Geothermal Reservoir Engineering. Vol. 1.Stanford Geothermal Program. , pp.1159-1170.
- Shi, P. et al. 2023. Near-real-time microseismic monitoring with machine-learning and waveform back-projection at the Utah FORGE geothermal site. Presented at: EGU General Assembly 2023 Vienna, Austria 23 - 28 April 2023. (10.5194/egusphere-egu23-13227)
- Ermert, L. et al., 2022. Modeling induced micro-earthquakes for an experimental enhanced geothermal system site. Presented at: 20th Swiss Geoscience Meeting 2022 Lausanne, Switzerland 18-20 November 2022.
- Shi, P. et al. 2022. MALMI: towards combining machine learning and waveform migration for fully automated earthquake detection and location. Presented at: EGU General Assembly 2022 Vienna, Austria 23-27 May 2022. Copernicus {GmbH}(10.5194/egusphere-egu22-6087)
- Parastatidis, E. et al., 2021. Minimising the computational time of a waveform based location algorithm. Presented at: EGU General Assembly (online) 2021 Online 19 - 30 April 2021. (10.5194/egusphere-egu21-15664)
- Shi, P. , Seydoux, L. and Poli, P. 2020. Direct fault states assessment from wavefield properties: application to the 2009 L'Aquila earthquake. Presented at: EGU General Assembly 2020 Online 4-8 May 2020. (10.5194/egusphere-egu2020-11655)
Erthyglau
- Ermert, L. A. et al., 2025. Toward a digital twin for seismic waves of induced events in a geothermal reservoir. Bulletin of the Seismological Society of America 115 (6), pp.2705-2720. (10.1785/0120250125)
- Schultz, R. et al., 2025. The bound growth of induced earthquakes could de-risk hydraulic fracturing. Communications Earth & Environment 6 995. (10.1038/s43247-025-02881-2)
- He, Y. et al., 2025. Experimental observation of moduli dispersion and attenuation at seismic frequencies in saturated tight rock: effect of microstructure and fluid viscosity. Geophysical Journal International 240 , pp.1308–1330. (10.1093/gji/ggae442)
- Shi, P. et al. 2024. From labquakes to megathrusts: scaling deep learning based pickers over 15 orders of magnitude. Journal of Geophysical Research: Machine Learning and Computation 11 (4) e2024JH000220. (10.1029/2024JH000220)
- He, Y. -. et al., 2024. Experimental investigation of pore-filling substitution effect on frequency-dependent elastic moduli of Berea sandstone. Geophysical Journal International 238 (2), pp.902–921. (10.1093/gji/ggae195)
- He, Y. et al., 2024. Laboratory experiments and theoretical study of pressure and fluid influences on acoustic response in tight rocks with pore microstructure. Geophysical Prospecting 72 (5), pp.1896-1918. (10.1111/1365-2478.13466)
- Parastatidis, E. et al., 2024. Multichannel coherence migration grid search (MCMgs) in locating microseismic events recorded by a surface array. Geophysical Journal International 236 (2), pp.1042–1052. (10.1093/gji/ggad465)
- Mohammadigheymasi, H. et al., 2023. IPIML: A deep-scan earthquake detection and location workflow Integrating Pair-Input deep learning model and Migration Location method. IEEE Transactions on Geoscience and Remote Sensing 61 (10.1109/tgrs.2023.3293914)
- He, Y. et al., 2023. A physical modelling study of waveform amplification effects of reservoir heterogeneity on time‐lapse seismic attribute analysis. Geophysical Prospecting 71 (2), pp.206-226. (10.1111/1365-2478.13298)
- Yan, B. , Ji, Y. and Shi, P. 2023. Frequency-dependent inversion based on spherical-wave reflection coefficient in elastic medium: Theory and methodology. Journal of Applied Geophysics 209 104908. (10.1016/j.jappgeo.2022.104908)
- Obermann, A. et al., 2022. Combined large-N seismic arrays and DAS fiber optic cables across the Hengill geothermal field, Iceland. Seismological Research Letters 93 (5), pp.2498-2514. (10.1785/0220220073)
- Shi, P. et al. 2022. MALMI: An automated earthquake detection and location workflow based on machine learning and waveform migration. Seismological Research Letters 93 (5), pp.2467-2483. (10.1785/0220220071)
- Shi, P. , Seydoux, L. and Poli, P. 2021. Unsupervised learning of seismic wavefield features: clustering continuous array seismic data during the 2009 L'Aquila earthquake. Journal of Geophysical Research: Solid Earth 126 (1) e2020JB020506. (10.1029/2020JB020506)
- Li, L. et al., 2020. Recent advances and challenges of waveform‐based seismic location methods at multiple scales. Reviews of Geophysics 58 (1) e2019RG000667. (10.1029/2019RG000667)
- Yuan, S. et al., 2020. Goal-oriented inversion-based NMO correction using a Convex l 2,1 -norm. IEEE Geoscience and Remote Sensing Letters 17 (1), pp.162-166. (10.1109/LGRS.2019.2915520)
- Yuan, S. et al., 2019. Sparse bayesian learning-based seismic high-resolution time-frequency analysis. {IEEE} Geoscience and Remote Sensing Letters 16 (4), pp.623-627. (10.1109/lgrs.2018.2883496)
- Shi, P. et al. 2019. Automated seismic waveform location using multichannel coherency migration (MCM)–I: theory. Geophysical Journal International 216 (3), pp.1842-1866. (10.1093/gji/ggy132)
- Shi, P. et al. 2019. Automated seismic waveform location using Multichannel Coherency Migration (MCM)—II. Application to induced and volcano-tectonic seismicity. Geophysical Journal International 216 (3), pp.1608-1632. (10.1093/gji/ggy507)
- Wang, T. et al., 2019. AVAZ inversion for fracture weakness based on three-term Rüger equation. Journal of Applied Geophysics 162 , pp.184-193. (10.1016/j.jappgeo.2018.12.013)
- Shi, P. et al. 2018. Fracture identification in a tight sandstone reservoir: A seismic anisotropy and automatic multisensitive attribute fusion framework. IEEE Geoscience and Remote Sensing Letters 15 (10), pp.1525-1529. (10.1109/LGRS.2018.2853631)
- Shi, P. et al. 2018. Microseismic full waveform modeling in anisotropic media with moment tensor implementation. Surveys in Geophysics: An International Review Journal Covering the Entire Field of Earth and Space Sciences 39 (4), pp.567–611. (10.1007/s10712-018-9466-2)
- Yuan, S. et al., 2018. Seismic waveform classification and first-break picking using convolution neural networks. IEEE Geoscience and Remote Sensing Letters 15 (2), pp.272-276. (10.1109/lgrs.2017.2785834)
- Yan, B. et al., 2017. Improved eigenvalue-based coherence algorithm with dip scanning. Geophysics 82 (2), pp.1MA-Z12. (10.1190/geo2016-0149.1)
- Chen, Y. et al., 2014. Irregular seismic data reconstruction using a percentile-half-thresholding algorithm. Journal of Geophysics and Engineering 11 (6) 065001. (10.1088/1742-2132/11/6/065001)
- Chuai, X. et al., 2014. Applications of texture attribute analysis to seismic interpretation. Journal of Central South University 21 (9), pp.3617–3626. (10.1007/s11771-014-2344-2)
Gosodiad
- Shi, P. 2018. Microseismic full waveform modeling and location. PhD Thesis , University of Leeds.
Ymchwil
Ceisiadau Seismigrwydd a Geo-ynni Ysgogedig
Mae seismigrwydd ysgogedig yn peri heriau sylweddol i brosiectau geo-ynni fel systemau geothermol gwell, atafaelu daearegol carbon, a storio nwy naturiol. Mae fy ymchwil yn ymchwilio i'r rhyngweithio cymhleth rhwng dynameg hylif, newidiadau straen, a phriodweddau creigiau i ddatrys mecanweithiau seismig a achosir o dan amodau is-wyneb realistig. Trwy hyrwyddo ein dealltwriaeth o'r prosesau hyn, rwy'n anelu at liniaru risgiau daeargryn a ysgogwyd, gan alluogi ecsbloetio diogel a chynaliadwy o adnoddau geo-ynni ac arferion atafaelu carbon.
Ffiseg Daeargryn a Lliniaru Peryglon
Mae deall mecaneg rhwygo daeargryn yn ddiddordeb sylfaenol yn y Gwyddorau Daear ac mae hefyd yn hanfodol i liniaru peryglon seismig. Mae fy ymchwil yn archwilio paramedrau ffynhonnell daeargryn, gan gynnwys geometreg ffynhonnell, mecanwaith ffocal, a gostyngiad straen i ymchwilio i brosesau paratoi daeargryn a chnewyllol . Yn ogystal, rwy'n integreiddio amodau safle-benodol, dynameg ffawt, a modelau tebygolrwydd i wella asesu a rhagfynegi risg daeargryn, gan gyfrannu at strategaethau lliniaru peryglon rhagweithiol.
AI a Seismoleg Dysgu Peirianyddol
Mae dyfodiad AI a dysgu dwfn wedi chwyldroi dadansoddi data seismig ac yn addo siapio dyfodol astudiaethau seismoleg. Mae fy ymchwil yn ymroddedig i ddatblygu modelau/technegau dysgu peirianyddol o'r radd flaenaf i awtomeiddio dadansoddiadau seismoleg a chodi cywirdeb prosesau hanfodol, gyda ffocws ar gymwysiadau amser real. Inspired by the remarkable "emergent ability" of generative models, I are particularly interested in pioneering earthquake foundation models for sophisticated seismological studies. Mae'r modelau hyn yn addewid aruthrol ar gyfer darganfod gwybodaeth mewn data geoffisegol cymhleth ac enfawr, gan danio datblygiadau arloesol mewn seismoleg.
Monitro a Delweddu Geoffisegol ar gyfer Ynni Cynaliadwy
Mae'r trawsnewid i ddyfodol cynaliadwy a charbon-niwtral yn dibynnu ar dechnolegau ynni effeithlon a diogel, megis ynni geothermol a storio carbon. Mae fy ymchwil yn datblygu dulliau / offer monitro a delweddu geoffisegol arloesol i wneud y mwyaf o effeithlonrwydd ecsbloetio a storio ynni wrth liniaru geo-beryglon posibl. Gall y datblygiadau ein grymuso i nodi safleoedd ffafriol, optimeiddio strategaethau ecsbloetio, delweddu diffygion cudd, a dad-risg prosesau cysylltiedig yn effeithiol, gan gefnogi'r trawsnewidiad ynni byd-eang.
Efeilliaid Digidol System y Ddaear a Dinas Smart
Mae adeiladu efeilliaid digidol o systemau'r Ddaear ac amgylcheddau trefol yn cynnig posibiliadau trawsnewidiol ar gyfer rhagfynegi peryglon, cynllunio gwytnwch, ac optimeiddio datblygu trefol. Mae gen i ddiddordeb arbennig mewn integreiddio delweddu geoffisegol, data geo-ofodol, a thechnegau efelychu, i greu efeilliaid digidol aml-raddfa. Gyda'r arloesiadau hyn, rwy'n gobeithio creu efeilliaid digidol hynod realistig sy'n adlewyrchu cymhlethdodau'r byd go iawn ar draws graddfeydd amrywiol - o raddfeydd daearegol lleol a dinasoedd i'r systemau Ddaear gyfan, gan gefnogi atebion rhyngddisgyblaethol ar gyfer dinasoedd clyfar a datblygu cynaliadwy.
Prosiect Cyfredol:
- EFFSIMMSI: Rhagfynegi Daeargryn a Ysgogwyd gan Ddaeargryn a Dynameg Ffracio trwy Fonitro Seismig Arloesol a Integreiddio Aml-Synhwyrydd, Cyllid Prosiect Sefydliad Gwyddoniaeth Cenedlaethol y Swistir (SNSF), Prosiect PI, Cyllideb: 316'960 CHF.
Addysgu
- Cyfrifiadura Cymhwysol ar gyfer Cynaliadwyedd Amgylcheddol
- Peryglon, Risg a Gwytnwch
- Astudiaethau Achos Peryglon Amgylcheddol
- Dadansoddiad Petrolewm, Geo-ynni a Basn
- Modelu a Chymwysiadau Systemau'r Ddaear a'r Amgylchedd
- Modelu rhifiadol o brosesau Peryglon Amgylcheddol
- Sgiliau Maes Daearyddiaeth
Bywgraffiad
- 2019 Ph.D. mewn Geoffiseg, Prifysgol Leeds, y DU.
- 2015 Meistr mewn Geoffiseg Gymhwysol, Prifysgol Petrolewm-Beijing, Tsieina.
- 2012 Baglor mewn Geoffiseg Archwilio, Prifysgol Petrolewm-Beijing, Tsieina.
Anrhydeddau a dyfarniadau
- 2022 Wiley Top Cited Erthygl 2020-2021
- 2021 Gwobr Eithriadol Cystadleuaeth Geoffiseg Archwilio Cwpan BGP 1af
Aelodaethau proffesiynol
- Undeb Geoffisegol America (AGU)
- Undeb Geowyddorau Ewrop (EGU)
- Cymdeithas Ewropeaidd Geowyddonwyr a Pheirianwyr (EAGE)
- Cymdeithas Geoffisegwyr Archwilio (SEG)
Safleoedd academaidd blaenorol
- 2024 - Darlithydd bellach , Ysgol Gwyddorau'r Ddaear a'r Amgylchedd, Prifysgol Caerdydd, y DU.
- 2023 - 2024 Uwch Ymchwilydd (Oberassistent), Gwasanaeth Seismolegol y Swistir, ETH Zürich, Y Swistir.
- 2021 - 2023 Cymrawd Ymchwil Ôl-ddoethurol, Gwasanaeth Seismolegol y Swistir, ETH Zürich, Y Swistir.
- 2019 - 2021 Cymrawd Ymchwil Ôl-ddoethurol, ISTerre, Université Grenoble Alpes, Ffrainc.
- 2015 - 2019 Addysgu AssistanT, Ysgol y Ddaear a'r Amgylchedd, Prifysgol Leeds, UK.
Pwyllgorau ac adolygu
- Adolygydd: Cyfathrebu Natur; Cyfathrebu Natur Ddaear a'r Amgylchedd; Geophysical Journal International; Journal of Geophysical Research: Machine Learning and Computation; Llythyrau Ymchwil Seismolegol; Bwletin Cymdeithas Seismolegol America; Geoffiseg; Chwilio geoffisegol; Adroddiadau gwyddonol; Ffiniau mewn Gwyddor Ddaear; Cylchgrawn prosesu signal IEEE; Trafodion IEEE ar Geowyddoniaeth a Synhwyro o Bell; IEEE Geowyddoniaeth a Llythyrau Synhwyro o Bell ; Geomateg, peryglon naturiol a risg; Gwyddoniaeth petrolewm; Journal of Geoffiseg Gymhwysol ; Cyfrifiaduron a Geotechneg; Ddaear, planedau a'r gofod; Egni; Geophysica Acta; Journal of Geoffiseg a Pheirianneg; Bwletin Gwyddoniaeth Petrolewm; Geoffiseg Archwilio; Gwyddorau Cymhwysol SN .
- Trefnydd a Golygydd Gwadd y rhifyn arbennig "Machine Learning Approaches for Geophysical Data Analysis" yn y Gwyddorau Cymhwysol.
Meysydd goruchwyliaeth
- Ceisiadau Seismicity a Geo-ynni a achosir
- AI a Dysgu Peiriant Seismology
- Ffiseg Daeargryn a Lliniaru Perygl
- System Ddaear Digital Twins a Smart City
- Monitro a Delweddu Geoffisegol ar gyfer Ynni Cynaliadwy
- Monitro Seismig Uwch a Dadansoddiad Amser Real
Goruchwyliaeth gyfredol
Shengyuan Zhang
Prosiectau'r gorffennol
- Advancing Rhagwelir Daeargryn a Deinameg Fracturing trwy Fonitro Seismig Arloesol Scale-Invariant a Integreiddio Aml-Synhwyrydd Cyllid Prosiect Sefydliad Gwyddoniaeth Cenedlaethol y Swistir (SNSF)
Contact Details
Themâu ymchwil
Arbenigeddau
- Seismoleg dysgu peiriant
- Ffiseg daeargrynfeydd
- Gwyddor data mewn geoffiseg
- Ecsbloetio geo-ynni
- Monitro a lliniaru geohazard