![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)
Darlithydd mewn Geoffiseg
- Ar gael fel goruchwyliwr ôl-raddedig
Trosolwyg
Mae fy ymchwil yn pontio geoffiseg, dysgu peiriannau, a gwyddoniaeth daeargryn, gan fynd i'r afael â heriau fel seismicity ysgogedig, datrysiadau ynni cynaliadwy, a monitro seismig amser real. Gyda phrofiad ymchwil ar draws gwahanol sefydliadau yn ETH Zurich, ISTerre, a Phrifysgol Leeds, rwyf wedi ymrwymo i ymchwil sy'n integreiddio AI®, gwyddor data, efeilliaid digidol, a chyfrifiadura perfformiad uchel i ymchwilio i brosesau deinamig y Ddaear, gan ganolbwyntio 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 prosiect geo-ynni. Trwy ymchwil a chydweithrediadau rhyngwladol, rwy'n angerddol am ysgogi darganfyddiadau gwyddonol dylanwadol ac ysbrydoli'r genhedlaeth nesaf o ymchwilwyr. Archwiliwch fy ymchwil, prosiectau a chyhoeddiadau i ddysgu sut y gallwn gydweithio tuag at ddyfodol mwy gwydn a chynaliadwy.
Cyhoeddiad
2025
- 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), article number: e2024JH000220. (10.1029/2024JH000220)
- He, Y. -., Wang, S. X., Tang, G. Y., Dong, C. H., Sun, C., Yuan, S. Y. and Shi, P. D. 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., Tuinstra, K., Niemz, P., Shi, P., Ermert, L. and Lanza, F. 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., Schultz, R., Lanza, F., Scarabello, L., Ermert, L. and Weimer, S. 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., Pytharouli, S., Stankovic, L., Stankovic, V., Shi, P. and Hildyard, M. W. 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., Goertz-Allmann, B., Sanchez-Pastor, P., Shi, P., Wu, S. and Hjórleifsdóttir, V. 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, article number: 104908. (10.1016/j.jappgeo.2022.104908)
- Ermert, L., Lanza, F., Ciardo, F., Shi, P., Afanasiev, M. and Wiemer, S. 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)
- De solda, M., Grigoli, F., Shi, P., Lanza, F. and Wiemer, S. 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)
- Shi, P., Lanza, F., Grigoli, F. and Wiemer, S. 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)
- 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 2023Proceedings 48th Workshop on Geothermal Reservoir Engineering.
- Mohammadigheymasi, H., Tavakolizadeh, N., Shi, P., Xiao, Z., Mousavi, S. M. and Fernandes, R. 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)
2022
- Shi, P., Grigoli, F., Lanza, F., Beroza, G. C., Scarabello, L. and Wiemer, S. 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)
- 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)
- Ermert, L., Lanza, F., Shi, P., Tuinstra, K. and Wiemer, S. 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., Grigoli, F., Lanza, F. and Wiemer, S. 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), article number: e2020JB020506. (10.1029/2020JB020506)
- Parastatidis, E., Pytharouli, S., Stankovic, L., Stankovic, V. and Shi, P. 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. 2021. Towards real-time monitoring of induced microseismicity in enhanced geothermal systems. Presented at: 19th Swiss Geoscience Meeting, Geneva, Switzerland, 19-20 November 2021. pp. 19-19.
2020
- Li, L. et al. 2020. Recent advances and challenges of waveform‐based seismic location methods at multiple scales. Reviews of Geophysics 58(1), article number: e2019RG000667. (10.1029/2019RG000667)
- Yuan, S., Wei, W., Wang, D., Shi, P. and Wang, S. 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., Ji, Y., Shi, P., Zeng, J., Gao, J. and Wang, S. 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., Nowacki, A., Rost, S. and Angus, D. 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)
- Shi, P., Angus, D., Rost, S., Nowacki, A. and Yuan, S. 2019. Automated seismic waveform location using multichannel coherency migration (MCM)–I: theory. Geophysical Journal International 216(3), pp. 1842-1866. (10.1093/gji/ggy132)
- Wang, T., Yuan, S., Shi, P., Shuai, D., Luo, C. and Wang, S. 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. 2018. Microseismic full waveform modeling and location. PhD Thesis, University of Leeds.
- Shi, P., Yuan, S., Wang, T., Wang, Y. and Liu, T. 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., Angus, D., Nowacki, A., Yuan, S. and Wang, Y. 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., Liu, J., Wang, S., Wang, T. and Shi, P. 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)
2017
- Yan, B., Yuan, S., Wang, S., OuYang, Y., Wang, T. and Shi, P. 2017. Improved eigenvalue-based coherence algorithm with dip scanning. Geophysics 82(2), pp. 1MA-Z12. (10.1190/geo2016-0149.1)
2014
- Chen, Y., Chen, K., Shi, P. and Wang, Y. 2014. Irregular seismic data reconstruction using a percentile-half-thresholding algorithm. Journal of Geophysics and Engineering 11(6), article number: 65001. (10.1088/1742-2132/11/6/065001)
- Chuai, X., Wang, S., Shi, P., Wei, X. and Chen, W. 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)
Articles
- 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), article number: e2024JH000220. (10.1029/2024JH000220)
- He, Y. -., Wang, S. X., Tang, G. Y., Dong, C. H., Sun, C., Yuan, S. Y. and Shi, P. D. 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., Pytharouli, S., Stankovic, L., Stankovic, V., Shi, P. and Hildyard, M. W. 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, article number: 104908. (10.1016/j.jappgeo.2022.104908)
- Shi, P., Grigoli, F., Lanza, F., Beroza, G. C., Scarabello, L. and Wiemer, S. 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)
- 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., 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), article number: 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), article number: e2019RG000667. (10.1029/2019RG000667)
- Yuan, S., Wei, W., Wang, D., Shi, P. and Wang, S. 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., Ji, Y., Shi, P., Zeng, J., Gao, J. and Wang, S. 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., Nowacki, A., Rost, S. and Angus, D. 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)
- Shi, P., Angus, D., Rost, S., Nowacki, A. and Yuan, S. 2019. Automated seismic waveform location using multichannel coherency migration (MCM)–I: theory. Geophysical Journal International 216(3), pp. 1842-1866. (10.1093/gji/ggy132)
- Wang, T., Yuan, S., Shi, P., Shuai, D., Luo, C. and Wang, S. 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., Yuan, S., Wang, T., Wang, Y. and Liu, T. 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., Angus, D., Nowacki, A., Yuan, S. and Wang, Y. 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., Liu, J., Wang, S., Wang, T. and Shi, P. 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., Yuan, S., Wang, S., OuYang, Y., Wang, T. and Shi, P. 2017. Improved eigenvalue-based coherence algorithm with dip scanning. Geophysics 82(2), pp. 1MA-Z12. (10.1190/geo2016-0149.1)
- Chen, Y., Chen, K., Shi, P. and Wang, Y. 2014. Irregular seismic data reconstruction using a percentile-half-thresholding algorithm. Journal of Geophysics and Engineering 11(6), article number: 65001. (10.1088/1742-2132/11/6/065001)
- Chuai, X., Wang, S., Shi, P., Wei, X. and Chen, W. 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)
Conferences
- Finger, C., Tuinstra, K., Niemz, P., Shi, P., Ermert, L. and Lanza, F. 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., Schultz, R., Lanza, F., Scarabello, L., Ermert, L. and Weimer, S. 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., Goertz-Allmann, B., Sanchez-Pastor, P., Shi, P., Wu, S. and Hjórleifsdóttir, V. 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)
- Ermert, L., Lanza, F., Ciardo, F., Shi, P., Afanasiev, M. and Wiemer, S. 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)
- De solda, M., Grigoli, F., Shi, P., Lanza, F. and Wiemer, S. 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)
- Shi, P., Lanza, F., Grigoli, F. and Wiemer, S. 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)
- 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 2023Proceedings 48th Workshop on Geothermal Reservoir Engineering.
- Mohammadigheymasi, H., Tavakolizadeh, N., Shi, P., Xiao, Z., Mousavi, S. M. and Fernandes, R. 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)
- Ermert, L., Lanza, F., Shi, P., Tuinstra, K. and Wiemer, S. 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., Grigoli, F., Lanza, F. and Wiemer, S. 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., Pytharouli, S., Stankovic, L., Stankovic, V. and Shi, P. 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. 2021. Towards real-time monitoring of induced microseismicity in enhanced geothermal systems. Presented at: 19th Swiss Geoscience Meeting, Geneva, Switzerland, 19-20 November 2021. pp. 19-19.
- 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)
Thesis
- Shi, P. 2018. Microseismic full waveform modeling and location. PhD Thesis, University of Leeds.
Ymchwil
Ceisiadau Seismicity a Geo-ynni a achosir
Mae seismicity a achosir yn peri heriau sylweddol i brosiectau geo-ynni megis systemau geothermol gwell, dal daearegol carbon, a storio nwy naturiol. Mae fy ymchwil yn ymchwilio i'r cydadwaith cymhleth rhwng dynameg hylif, newidiadau straen, ac eiddo creigiau i ddatrys mecanweithiau seismicity a achosir gan y feirws o dan amodau is-wyneb realistig. Drwy ddatblygu ein dealltwriaeth o'r prosesau hyn, fy nod yw lliniaru risgiau daeargrynfeydd a achosir gan alluogi manteisio ar adnoddau geo-ynni ac arferion dal carbon yn ddiogel a chynaliadwy.
Ffiseg Daeargryn a Lliniaru Perygl
Mae deall mecaneg rhwygo daeargryn yn mynd ar drywydd sylfaenol mewn 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 a chnewyllo daeargryn. Yn ogystal, rwy'n integreiddio amodau safle-benodol, dynameg fai, a modelau tebygolrwydd i wella asesu a rhagweld risg daeargryn, gan gyfrannu at strategaethau lliniaru peryglon rhagweithiol.
Monitro a Delweddu Geoffisegol ar gyfer Ynni Cynaliadwy
Mae'r newid i ddyfodol cynaliadwy a carbon-niwtral yn dibynnu ar dechnolegau ynni effeithlon a diogel, fel ynni geothermol a storio carbon. Mae fy ymchwil yn datblygu dulliau / offer monitro geoffisegol a delweddu arloesol i wneud y mwyaf o effeithlonrwydd ecsbloetio a storio ynni wrth liniaru peryglon geo-beryglon posibl. Gall y datblygiadau ein grymuso i nodi safleoedd ffafriol, optimeiddio strategaethau ecsbloetio, namau cudd delwedd, a phrosesau cysylltiedig sy'n gysylltiedig â di-risg yn effeithiol, gan gefnogi'r trawsnewidiad ynni byd-eang.
System Ddaear Digital Twins a Smart City
Mae adeiladu efeilliaid digidol o systemau ac amgylcheddau trefol y Ddaear yn cynnig posibiliadau trawsnewidiol ar gyfer rhagweld 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 amlraddfa. Gyda'r datblygiadau arloesol hyn, rwy'n gobeithio creu efeilliaid digidol hynod realistig sy'n adlewyrchu cymhlethdodau'r byd go iawn ar draws graddfeydd amrywiol - o raddfeydd a dinasoedd daearegol lleol i systemau cyfan y Ddaear, gan gefnogi atebion rhyngddisgyblaethol ar gyfer dinasoedd craff a datblygu cynaliadwy.
Prosiect Cyfredol:
- EFFSIMMSI: Hyrwyddo Rhagweld Daeargryn a Deinameg Fracturing trwy Monitro Seismig ac Integreiddio Aml-Synhwyrydd arloesol ar Raddfa Arloesol, Cyllid Prosiect Sefydliad Gwyddoniaeth Cenedlaethol y Swistir (SNSF), Prosiect PI®, Cyllideb: 316'960 CHF.
Addysgu
- Peryglon, Risg a Gwydnwch
- Astudiaethau Achos Peryglon Amgylcheddol a Dŵr
- Dadansoddiad Petrolewm, Geo-ynni a Basn
- Modelu a Chymwysiadau System Ddaear ac Amgylcheddol
- Modelu rhifiadol prosesau Perygl 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
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