Electrical Resistivity Tomography in HPC Environments: Review of a Recent Study
Abstract
Electrical Resistivity Tomography (ERT) is a geophysical technique applied to subsurface investigation, with applications in mineral exploration, environmental monitoring, and large-scale geological studies. Efficient data interpretation demands advanced algorithms capable of processing large volumes of information. Due to the complexity and size of these datasets, the use of High-Performance Computing (HPC) systems becomes essential to enable intensive simulations. This work reviews a recent study that proposes a massively parallel implementation for the modeling and inversion of 3D ERT data using the open-source PFLOTRAN code, with an emphasis on computational performance aspects observed in HPC environments.References
Balay, S., Abhyankar, S., Adams, M., Benson, S., Brown, J., Brune, P., et al. (2021). Petsc/tao users manual, argonne national laboratory. Technical report, ANL-21/39-Revision 3.17, 2022. Available from: [link].
Hammond, G. E., Lichtner, P. C., and Mills, R. (2014). Evaluating the performance of parallel subsurface simulators: An illustrative example with pflotran. Water resources research, 50(1):208–228.
Jahandari, H. and Farquharson, C. G. (2014). A finite-volume solution to the geophysical electromagnetic forward problem using unstructured grids. Geophysics, 79(6):E287–E302.
Jaysaval, P., Hammond, G. E., and Johnson, T. C. (2022). Massively parallel modeling and inversion of electrical resistivity tomography data using pflotran. Geoscientific Model Development Discussions, 2022:1–26.
Lichtner, P. C., Hammond, G. E., Lu, C., Karra, S., Bisht, G., Andre, B., Mills, R., and Kumar, J. (2015). Pflotran user manual: A massively parallel reactive flow and transport model for describing surface and subsurface processes. Technical report.
Wright, S. J. (2006). Numerical optimization.
Hammond, G. E., Lichtner, P. C., and Mills, R. (2014). Evaluating the performance of parallel subsurface simulators: An illustrative example with pflotran. Water resources research, 50(1):208–228.
Jahandari, H. and Farquharson, C. G. (2014). A finite-volume solution to the geophysical electromagnetic forward problem using unstructured grids. Geophysics, 79(6):E287–E302.
Jaysaval, P., Hammond, G. E., and Johnson, T. C. (2022). Massively parallel modeling and inversion of electrical resistivity tomography data using pflotran. Geoscientific Model Development Discussions, 2022:1–26.
Lichtner, P. C., Hammond, G. E., Lu, C., Karra, S., Bisht, G., Andre, B., Mills, R., and Kumar, J. (2015). Pflotran user manual: A massively parallel reactive flow and transport model for describing surface and subsurface processes. Technical report.
Wright, S. J. (2006). Numerical optimization.
Published
2025-05-28
How to Cite
LANNES, Ana Clara; GOLDMAN, Alfredo.
Electrical Resistivity Tomography in HPC Environments: Review of a Recent Study. In: REGIONAL SCHOOL OF HIGH PERFORMANCE COMPUTING FROM SÃO PAULO (ERAD-SP), 16. , 2025, São José do Rio Preto/SP.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2025
.
p. 86-89.
DOI: https://doi.org/10.5753/eradsp.2025.9744.
