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Energy and Environment Directorate

Piyoosh Jaysaval

Piyoosh Jaysaval

(509) 372-6802


Piyoosh Jaysaval has over 5 years of experience in computational geophysics. He joined PNNL in February 2019. His primary research has been focused on developing numerical modeling and inversion methods for electromagnetic (EM) and seismic wave propagation in the 2D/3D earth. He has developed several large-scale novel forward modelling and inversion methods during his research tenure with the main objective of computing results that are more accurate or reducing total modeling and inversion times.

Research Interests

  • Large scale geophysical modeling and inversion
  • Joint inversion of geophysical data
  • Direct and iterative solvers
  • Full-waveform inversion
  • Controlled-source electromagnetics and magnetotelluric
  • Seismic and reservoir geophysics
  • Bayesian Inversion
  • Deep learning application for geophysical inversion

Education and Credentials

  • Ph.D. Geophysics, University of Oslo, Norway, 2016
  • M.Tech. Geophysics, Indian Institute of Technology Roorkee, India, 2012
  • B.Sc. (Honors) Physics, University of Delhi, India, 2009

Affiliations and Professional Service

  • Society of Exploration Geophysicists
  • American Geophysical Union

Awards and Recognitions

  • 2012 – Dr. A.N. Khosla Medal for obtaining the highest grade in all M.Sc. / M.Tech. (Science) courses in IIT 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 B.Sc. (Honors) Physics in the University of Delhi.

PNNL Publications


  • 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


  • 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.


  • 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


  • 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


  • 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.


  • 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.


  • 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.


  • 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.

Energy and Environment

Core Research Areas