GNGTS 2024 - Atti del 42° Convegno Nazionale

Session 3.3 GNGTS 2024 References Aleardi M., Vinciguerra A. and Hojat A.; 2021a: A Convolutonal Neural Network approach to Electrical Resistvity Tomography. Journal of Applied Geophysics, 193. Aleardi, M., Vinciguerra, A., and Hojat, A.; 2021b: Ensemble-Based Electrical Resistvity Tomography with Data and Model Space Compression. Pure and Applied Geophysics, 178, 1781-1803. Britanak, V., Yip, P.C., and Rao, K.R.; 2010: Discrete cosine and sine transforms: General propertes, fast algorithms and integer approximatons. Elsevier. Emerick, A.A., and Reynolds, A.C.; 2013: Ensemble smoother with multple data assimilaton. Computers and Geosciences, 55, 3-15. Louboutn, M., Lange, M., Luporini, F., Kukreja, N., Wite, P.A., Herrmann, F.J., Velesko, P., and Gorman, G.J.; 2019: Devito (v3.1.0): an embedded domain-specifc language for fnite diferences and geophysical exploraton. Geoscientfc Model Development, 12(3), 1165-1187. Miller, J., Allis, R., and Hardwick, C.; 2018: Seismic Refecton Profling at the FORGE Utah EGS Site. GRC Transactons, vol. 42. Roe, P., Almendral Vazquez, A., and Hanea, R.; 2016: Distnguishing Signal from Noise in History Matching – Analysis of Ensemble Collapse on a Synthetc Data Set. 15 th European Conference on the Mathematcs of Oil Recovery, 29 August – 1 September 2016, Amsterdam, Netherlands. Thurin, J., Brossier, R., and Métvier, L.; 2019: Ensemble-based uncertainty estmaton in full waveform inversion. Geophysical Journal Internatonal, 219(3), 1613-1635. Fabio Macelloni, fabio.macelloni@phd.unipi.it