PNNL

Piyoosh Jaysaval is a computational geophysicist at Pacific Northwest National Laboratory (PNNL), acclaimed for his innovative work in high-performance supercomputing software for geophysics. His expertise spans numerical modeling and data inversion, blending traditional algorithms with advanced artificial intelligence and deep learning techniques. His impactful work includes developing algorithms for subsurface imaging across various geophysical methods, such as electrical resistivity tomography, frequency-domain electromagnetic, magnetotellurics, controlled source audio magnetotellurics, controlled-source electromagnetic, airborne electromagnetic, and seismic methods. These innovative tools have revolutionized the handling of large geophysical datasets, providing unprecedented insight into subsurface structures.

Jaysaval's academic journey culminated in earning his PhD degree from the University of Oslo in 2016. Following this achievement, he furthered his research as a postdoctoral researcher at the University of Texas at Austin before joining PNNL in 2019. Jaysaval has significantly impacted the scientific community through his robust publication record and his invaluable role as a peer reviewer. He is highly regarded for his contributions to journals such as Geophysics, Geophysical Journal International, Geophysical Prospecting, Journal of Applied Geophysics, and Computers & Geosciences, with over 70 reviews completed in the span of seven years. Beyond manuscript reviews, Jaysaval has also reviewed proposals for the Department of Energy and has played a pivotal role as a technical chair at numerous national and international conferences, including conferences organized by Society of Exploration Geophysicists, Environmental and Engineering Geophysical Society, and Society of Industrial and Applied Mathematics.

• Bayesian Methods
• C++
• Carbon Sequestration
• Computational Electromagnetics
• Environmental Remediation
• Finite Difference Method
• Finite Element Analysis
• Finite Volume
• Fortran
• Geophysical Data Processing
• Geophysics
• Geothermal
• High-Performance Computing
• Inversion
• Mineral Exploration
• Modeling and Simulation
• MPI
• Numerical Simulations
• Oil and Gas Exploration
• OpenMP
• Optimization
• Python
• Rare Earths
• Seismic Imaging
• Seismic Inversion
• Subsurface Technology Development

• PhD in geophysics, University of Oslo, Norway, 2016
• MTech in geophysics, Indian Institute of Technology Roorkee, India, 2012
• BSc (Honors) in physics, University of Delhi, India, 2009

• Society of Exploration Geophysicists
• American Geophysical Union

• 2024 – Environmental and Engineering Geophysics and Geonics Early Career Award
• 2012 – Dr. A.N. Khosla Medal for obtaining the highest grade in all MSc / MTech (science) courses at the Indian Institute of Technology Roorkee
• 2011 – AGIP-Scholarship awarded for academic excellence by the Society of Exploration Geophysicists at the global level
• 2010 – Gold Medal for obtaining the highest grade in BSc (Honors) physics at the University of Delhi

2023

• Jaysaval P., G.E. Hammond, and T.C. Johnson. 2023. "Massively Parallel Modeling and Inversion of Electrical Resistivity Tomography data using PFLOTRAN." Geoscientific Model Development 16, no. 3:961-976. PNNL-SA-170636. doi:10.5194/gmd-16-961-2023
• Robinson J.L., J.T. St. Clair, J.N. Thomle, P. Jaysaval, J. Cambeiro, K.A. Peta, and F.D. Day-Lewis, et al. 2023. "Using multiple geophysical methods to refine a stratigraphic conceptual site model at a nuclear waste site." Environmental Processes 10. PNNL-SA-177749. doi:10.1007/s40710-023-00622-1

2022

• Schwering P.C., C.L. Winn, P. Jaysaval, H.A. Knox, D.L. Siler, C. Hardwick, and B.F. Ayling, et al. 2022. "Advancing Geophysical Techniques to Image a Stratigraphic Hydrothermal Resource." In Geothermal Rising Conference: Using the Earth to Save the Earth (GRC 2022), August 18-31, 2022, Reno, NV. Transactions - Geothermal Resources Council, 976 - 991. Davis, California:Geothermal Resources Council. PNNL-SA-174160.

2021

• Jaysaval P., J.L. Robinson, and T.C. Johnson. 2021. "Stratigraphic Identification with Airborne Electromagnetic Methods at the Hanford Site, Washington." Journal of Applied Geophysics 192. PNNL-SA-156134. doi:10.1016/j.jappgeo.2021.104398

2019

• Miller Q., H.T. Schaef, S.K. Nune, K. Jung, J.A. Burghardt, P.F. Martin, and M.S. Prowant, et al. 2019. "Geophysical Monitoring with Seismic Metamaterial Contrast Agents." In Unconventional Resources Technology Conference (URTeC 2019), July 22-24, 2019, Denver, CO, Paper No 1123. Richardson, Texas:Society of Petroleum Engineers. PNNL-SA-148890. doi:10.15530/urtec-2019-1123

Selected Publications

2017

• Shantsev, D., Jaysaval, P., de la Kethulle de Ryhove, S., Amestoy, P. R., Buttari, A., L'Excellent, J.-Y., and Mary, T., Large scale 3D frequency-domain EM modeling with a Block Low-Rank multifrontal sparse direct solver: Geophysical Journal International.

2016

• Jaysaval, P., Shantsev, D., de la Kethulle de Ryhove, S., and Bratteland, T., Fully anisotropic 3-D EM modelling on a Lebedev grid with a multigrid preconditioner: Geophysical Journal International.

2015

• Jaysaval, P., Shantsev, D., and de la Kethulle de Ryhove, S., Efficient 3D controlled-source electromagnetic modelling using an exponential finite-difference method: Geophysical Journal International.

2014

• Jaysaval, P., Shantsev, D., and de la Kethulle de Ryhove, S., Fast multimodel finite-difference controlled- source electromagnetic simulations based on a Schur complement approach: Geophysics.