• 1. Deep learning developments in Earth Sciences

     • Bridge the Earth Science with spatio-temporal machine learning

     • Volcanic surface deformation detection using deep neural network

     • Atmospheric correction for hyperspectral remote sensing data

     • Sea Ice Concentration (SIC) prediction using multichannel CNN + LSTM

  2. Machine learning in seismic inversion

     • Theory/Physics-Guided neural network for seismic inversion

     • Structure-Guided Full Waveform Inversion (SG-FWI)

  3. Data-driven internal multiple prediction/attenuation

     • Multidimensional Inverse Scattering Series (ISS) internal multiple prediction

     • Variant domain efficiency in ISS internal multiple prediction

     • Multiples attenuation using machine learning

Recent submissions

1. Jian Sun, Kris Innanen, Zhan Niu, Matt Eaid, 2020. Inverse scattering series internal multiple prediction in common-midpoint domain, coming soon (See preprint version in the link).

2. Tianze Zhang, Kris Innanen, Jian Sun, Daniel Trad, 2020 Numerical analysis of a deep learning formulation of elastic full waveform inversion, IEEE TGRS, under review.

Peer-reviewed Journals

1. Jian Sun, Fangcao Xu, Guido Cervone, Melissa Gervais, Christelle Wauthier, 2020. Automatic atmospheric correction for hyperspectral remote sensing data using a time-dependent deep neural network, ISPRS Journal of Photogrammetry and Remote Sensing, 174, 17-131.

2. Jian Sun, Kris Innanen, Chao Huang, 2020. Physics-guided deep learning for seismic inversion with hybrid training and uncertainty analysis, Geophysics, 86(3), pp. R303-R317.

3. Jian Sun, Christelle Wauthier, Kirsten Stephens, Melissa Gervais, Guido Cervone, Pete LaFemina, and Machel Higgins, 2020. Automatic detection of surface deformation by volcanic sources using deep learning, Journal of Geophysical Research: Solid Earth, 125, e2020JB019840.

4. Chao Guo, Tieyuan Zhu, Yongtao Gao, Shunchuan Wu, Jian Sun, 2020, AEnet: Automatic picking of P-wave first arrivals using deep learning, IEEE Transactions on Geoscience and Remote Sensing, doi: 10.1109/TGRS.2020.3010541.

5. Jian Sun, Zhan Niu, Kris Innanen, Junxiao Li, and Daniel Trad, 2020. A theory-guided deep learning formulation and optimization of seismic waveform inversion, GEOPHYSICS, 85(2), R87-R99.

6. Jian Sun and Kristopher A. Innanen 2019. A plane-wave formulation and numerical analysis of elastic multicomponent inverse scattering series internal multiple prediction. GEOPHYSICS, 84(5), V255-V269.

7. Jian Sun and Kristopher A. Innanen 2018. Multidimensional inverse-scattering series internal multiple prediction in the coupled plane-wave domain. GEOPHYSICS, 83(2), V73-V82.

8. Niantian Lin, Denghui Gao, Jian Sun, Lijie Wei, Jie Peng, 2012. Seismic attributes of the Permian and Triassic in Qingdao depression,South Yellow Sea Basin and their geological significance. ACTA PETROLEI SINICA, 6, pp.987-995.

9. NianTian Lin, Jian Sun, Jianjian Tang, Xiaodong Wang and Guihua Li, 2012. Spectral decomposition technology and its application to improving resolution of frequency spectrum. Journal of Shandong University of Science and Technology: Natural Science, 31(4), pp.18-25.

Conference papers

2020

1. Tianze Zhang, Kris Innanen, Jian Sun, Daniel Trad, 2020 Numerical analysis of a deep learning formulation of elastic full waveform inversion, SEG 90th Annual Meeting, 2020, accepted.

2019

1. Jian Sun, Christelle Wauthier, Kirsten Stephens, Melissa Gervais, Guido Cervone, Pete LaFemina, and Machel Higgins, 2019. Deep Learning Application on Volcanic Deformation Detection and Blind Source Separation in InSAR Data, AGU Annual meeting 2019.

2. Jian Sun, Zhan Niu, Kris Innanen, Junxiao Li, and Daniel Trad, 2019. "A theory-guided deep learning formulation and optimization of seismic waveform inversion", SEG 89th Annual Meeting, 2019.

3. Jian Sun, Zhan Niu, Kris Innanen, Junxiao Li, and Daniel Trad, 2019. "A deep learning perspective of the forward and inverse problems in exploration geophysics.", CSEG/CSPG/CWLS/GeoConvention, 2019.

4. Zhan Niu, Jian Sun, and Daniel Trad. ”Inversion with the Born approximation in a deep learning framework.” CSEG/CSPG/CWLS/GeoConvention, 2019.

2018

1. Kristopher A. Innanen, Jian Sun, Andy Iverson.” Making Acoustic and Elastic Internal Multiple Prediction Work Efficiently and without Artifacts.” 80th EAGE Conference & Exhibition 2018.

2. Jian Sun, Kristopher A. Innanen, Daniel Trad, and Yu Geng. ”Multicomponent inverse scattering series internal multiple prediction part I: analysis of input preparation.” CSEG/CSPG/CWLS/GeoConvention, 2018.

3. Jian Sun, Kristopher A. Innanen, Daniel Trad, and Yu Geng. ”Multicomponent inverse scattering series internal multiple prediction part II: domains and implementations.” CSEG/CSPG/CWLS/GeoConvention, 2018.

2017

1. Jian Sun and Kristopher A. Innanen. ”Multicomponent inverse scattering series internal multiple prediction in the tau-p domain.”, SEG International Exposition and 87th Annual Meeting, 2017.

2. Jian Sun, Kristopher A. Innanen.” Literature review and discussion of inverse scattering series on internal multiple prediction.” CSEG/CSPG/CWLS/GeoConvention, 2017.

2016

1. Jian Sun and Kristopher A. Innanen.” Inverse scattering series internal multiple prediction in the double plane wave domain,.”, SEG International Exposition and 86th Annual Meeting, 2016.

2. Jian Sun and Kristopher A. Innanen (2016). ”Interbed multiple prediction on land: which technology, and which domain.” RECORDER, 41(8), 24-29.

3. Jian Sun, Kristopher A. Innanen.” Extension of internal multiple prediction from 1.5D to 2D in the double plane-wave domain.” CSEG/CSPG/CWLS/GeoConvention, 2016.

4. Hong Xu, Jian Sun, Brian Russell, Kristopher A. Innanen.” Porosity prediction using cokriging with multiple secondary datasets.” CSEG/CSPG/CWLS/GeoConvention, 2016.

5. Scott Keating, Jian Sun, Pan Pan, and Kristopher A. Innanen.” Nonstationary L1 adaptive subtrraction with application to internal multiple attenuation.” CSEG/CSPG/CWLS/GeoConvention, 2016.

6. Andrew Mills, Scott Keating, Jian Sun, Kristopher A. Innanen.” The effect of the near surface on internal multiples: a test of 1.5D prediction on synthetic examples.” CREWES Research Report, 2016.

2015

1. Jian Sun, Kristopher A. Innanen.” 1.5D internal multiple prediction in the plane-wave domain.” CSEG/CSPG/CWLS/GeoConvention, 2015.

PhD Thesis

1. Computational and practical developments in single-and multi-component inverse scattering series internal multiple prediction

Penn State University University Park

POSTDOCTORAL RESEARCHER Jan 2019 – Present

• • • • • • Deep learning applicaiton with spatio-temporal data in Earth Science

University of Calgary Calgary

POSTDOCTORAL RESEARCHER Jun 2018 – Jan 2019

RESEARCH & TEACHING ASSISTANT Sep 2013 – May 2018

• • • • • • Multidimensional multiple prediction/attenuation in single- and multi-component seismic records

          • Geostatistical modeling and sequential simulation

          • Machine learning in Geophysical problem: classification, inversion, hessian-free, optimal problems

          • TA / Head TA of Introduction of Geophysics, Mining Geophysics

Institute of Geology and Geophysics, Chinese Academy of Sciences Beijing

RESEARCH INTERN ASSISTANT Jan 2012 – April 2012

• • • • • • Frequency domain Full waveform inversion and its acceleration

          • GPU implementation of frequency domain full waveform inversion on massive 3D seismic data

          • GPU implementation of deep imaging technology

Qingdao Institute of Marine Geology, China Geological Survey Qingdao

RESEARCH INTERN ASSISTANT May 2009 – April 2009

• • • • • • Velocity modeling in the South Yellow Sew Basin

          • Intelligent velocity picking based on the constrained optimization algorithm

          • Seismic data interpretation: Census of oil and gas resources of the South Yellow Sea

University of Calgary Calgary

Ph.D. in Geophysics Sep 2013 – May 2018

China University of Geoscience (Beijing) Beijing

Ph.D. in Geophysics Sep 2012 – May 2013

Shandong University of Science and Technology Qingdao

MSc in Geophysics Sep 2009 – July 2012

Shandong University of Science and Technology Qingdao

BSc in Geophysics Sep 2005 – July 2009

CREWES: Consortium for Research in Elastic Wave Exploration Seismology

CWP: Center for Wave Phenomena

SEISCOPE: High Resolution Seismic Imaging by Full Waveform Inversion

SEP: Stanford Exploration Project

SW3D: Seismic Waves in Complex 3-D Structures

AGL: Allied Geophysical Laboratories

MILAB & WTOPI : Modelling & Imaging Laboratory at UCSC & Wavelet Transform On Propagation and Imaging Consortium

KIT: Karlsruhe Institute of Technology

UTAM: Utah Tomography & Modelling/Migration Consortium

DELPHI: Delft University of Technology