Jianming Zhang | Seismic tomography and inversions | Best Researcher Award

Dr. Jianming Zhang | Seismic tomography and inversions | Best Researcher Award

Postdoctoral Researcher at Ocean University of China, China

Zhang Jianming is a rising geophysics researcher recognized for his impactful contributions to seismic tomography and wavefield inversion. As a doctoral candidate at Tongji University, he has led advancements in Eikonal-equation-based methods for seismic velocity modeling, making substantial technical contributions to geophysical imaging and inversion theory. His innovative work has been featured in top-tier journals and international conferences, reflecting his growing influence in both academic and applied geophysics communities. Zhang’s interdisciplinary expertise integrates geophysical modeling, algorithm development, and field-data interpretation, positioning him as a promising early-career scientist.

Profile

Google Scholar

Education

Zhang’s academic foundation is deeply rooted in applied geophysics. He earned his Bachelor’s degree in Applied Geophysics from the China University of Geosciences (Wuhan) in 2019, where he graduated with distinction and was honored for his thesis on 3D source-independent waveform inversion using envelope methods. In the same year, he commenced a direct-entry PhD program in Geophysics at Tongji University. His doctoral research focuses on seismic traveltime tomography based on the Eikonal equation, encompassing adjoint-state methods and anisotropic velocity modeling, which has significantly shaped his research identity.

Experience

Throughout his academic tenure, Zhang has undertaken research at the frontier of seismic imaging. He has developed robust algorithms for fast traveltime computation in vertical transversely isotropic (VTI) media, and has implemented wave-equation-based inversion frameworks for subsurface modeling. Zhang’s experience spans both theoretical development and application to real datasets, with successful field deployments demonstrating the reliability of his methods. He has presented at multiple high-impact conferences such as EAGE, SEG, and IMAGE, often contributing as a lead author and speaker. His active role as a reviewer for journals such as Geophysics and Geophysical Prospecting attests to his engagement and credibility in the professional community.

Research Interest

Zhang’s research interests include geophysical modeling and inversion, particularly seismic traveltime and waveform inversion, Eikonal solvers, and elastic wave propagation in anisotropic media. He is passionate about integrating numerical methods with field data to resolve complex geological structures. His work focuses on increasing computational efficiency and accuracy in seismic tomography, especially through innovations in first-arrival and reflection waveform techniques. He is also engaged in wave-equation modeling and multi-parameter inversion strategies tailored for VTI media, with applications in both academia and the energy industry.

Awards

Zhang received the Wiley “Top Downloaded Article” Award in 2023 for his co-authored work on preconditioned transmission and reflection joint traveltime tomography, published in Geophysical Prospecting. This award highlights the relevance and reach of his contributions in the geophysical community. In addition to journal recognition, his work has been featured in key oral and poster sessions at international geoscience conferences, often spotlighted for methodological novelty and practical impact.

Publications

Among Zhang’s many publications, the following represent the breadth and depth of his research contributions:

  1. Zhang J., Dong L., Liu Y., et al. (2025). “Eikonal-equation-based elastic velocities reconstruction for multi-component seismic reflection data.” Geophysics, 90(4), U47–U58. [Cited by 4 articles]

  2. Zhang J., Dong L., Huang C. (2024). “A shortest-path-aided fast sweeping method in VTI media.” Geophysical Prospecting, 72(7), 2761–2771. [Cited by 6 articles]

  3. Zhang J., Dong L., Wang J., et al. (2024). “Adjoint-state characteristic reflection traveltime tomography.” Geophysics, 89(1), U17–U30. [Cited by 5 articles]

  4. Zhang J., Dong L., Wang J., et al. (2023). “Preconditioned transmission + reflection joint tomography.” Geophysical Prospecting, 71(2), 171–190. [Cited by 12 articles]

  5. Zhang J., Dong L., Wang J., Wang Y. (2023). “Illumination compensation in VTI media.” Journal of Applied Geophysics, 211, 104964. [Cited by 3 articles]

  6. Zhang J., Dong L., Wang J., Wang Y. (2022). “Multi-parameter traveltime inversion in VTI media.” Chinese Journal of Geophysics, 65(10), 4028–4046. [Cited by 8 articles]

  7. Dong L., Zhang J., Han P. (2021). “Improved traveltime tomography via adjoint-state method.” Chinese Journal of Geophysics, 64(3), 982–992. [Cited by 7 articles]

Conclusion

Zhang Jianming exemplifies the qualities of a promising geophysicist through his methodological innovations, peer-reviewed publications, and international recognition. His focused research on Eikonal-equation-based traveltime tomography and anisotropic inversion models advances both the theoretical and practical aspects of geophysics. His work is highly cited, and his contributions have already impacted seismic imaging practices in both academia and industry. With a strong trajectory of achievement, Zhang is an exceptional candidate for recognition through this award nomination.

Jinyou Dai | Oil and gas field Development and Geology | Best Researcher Award

Assoc. Prof. Dr. Jinyou Dai | Oil and gas field Development and Geology | Best Researcher Award

Associate Professor at China University of Petroleum, Beijing, China

Dr. Jinyou Dai is an accomplished Associate Professor at the School of Petroleum Engineering, China University of Petroleum (Beijing), with over two decades of academic and research experience in petroleum engineering and reservoir geology. He has contributed significantly to the understanding and advancement of enhanced oil recovery (EOR), tight gas reservoir development, and pore-scale modeling. His combined academic rigor and applied research efforts have made notable impacts in both academia and industry.

Profile

Scopus

Education

Dr. Dai earned his Bachelor’s degree in Petroleum and Natural Gas Geological Exploration from China University of Petroleum (East China) in 1997. He pursued a Master’s in Mineral Survey and Exploration at China University of Petroleum (Beijing), graduating in 2000, and completed his Ph.D. in Geological Resources and Geological Engineering in 2003 from the same institution. He subsequently conducted postdoctoral research at China University of Petroleum (Beijing) from 2003 to 2005.

Experience

Following his postdoctoral fellowship, Dr. Dai began his academic career as a Lecturer in 2005 and became an Associate Researcher in 2008 at China University of Petroleum (Beijing). In 2021, he was promoted to Associate Professor. His work encompasses both academic teaching and leading-edge research. He has led or participated in several state and industry-funded research projects, collaborating with leading oilfield companies including Changqing and Daqing Oilfields, focusing on reservoir characterization, production optimization, and enhanced oil recovery.

Research Interest

Dr. Dai’s primary research interests include tight sandstone reservoir development, EOR mechanisms, polymer-water flow in porous media, and pore-throat structure simulation using advanced modeling techniques. He integrates theoretical approaches with field data to optimize oil and gas recovery, and has made key contributions to understanding capillary pressure behavior, recovery factor evaluation, and multi-phase flow characteristics in complex reservoirs.

Award

Dr. Dai has received multiple prestigious recognitions for his scientific contributions. Notably, he was a co-recipient of the First-Class Provincial Award for Invention in 2023 from the China Petroleum and Chemical Automation Application Association, honoring his innovations in efficient development of large tight sandstone gas fields. In 2007, he also received the Second-Class Science and Technology Progress Award from the Ministry of Education for his contributions to complex gas reservoir development theory and applications.

Publication

Dr. Dai has authored numerous impactful publications, including:

(1) Research on the integrated calculation method of current recovery and limited recovery in tight sandstone gas reservoirs, Frontiers in Earth Science, 2024 — cited for its novel recovery modeling approach.
(2) Study on Applicability of Ball-and-Stick Model in Reservoir Pore-Throat Network Simulation, Processes, 2025 — foundational for pore-throat network modeling.
(3) 常规压汞-恒速压汞联合曲线构型模式及其指示意义, 新疆石油地质, 2024 — explored capillary pressure curves and their implications.
(4) Distribution regularity and formation mechanism of gas and water in the western area of Sulige gas field, Petroleum Exploration and Development, 2012 — a detailed study of gas-water distribution mechanisms.
(5) 鄂尔多斯盆地延长组绿泥石膜的形成机制, Journal of China University of Petroleum (Natural Science Edition), 2016 — on the formation mechanisms of chlorite films.

These works have been cited in studies related to pore-scale modeling, reservoir simulation, and EOR strategies, illustrating their academic and practical value.

Conclusion

Dr. Jinyou Dai represents a rare blend of academic excellence and applied industry relevance. Through his pioneering research, extensive publication record, and innovative technologies, he continues to influence petroleum engineering practices both within China and internationally. His commitment to advancing reservoir engineering theory and his role in transforming field operations through scientific insight make him a highly deserving candidate for this award.