Uncertainty quantification in subsurface inversion using local ensemble-based methods
Has parts
Paper 1: Spremić, Mina; Eidsvik, Jo; Avseth, Per Åge. Bayesian rock-physics inversion using a localized ensemble-based approach — With an application to the Alvheim field. Geophysics 2024 ;Volum 89.(2). © 2024 Society of Exploration Geophysicists. Available at: http://dx.doi.org/10.1190/geo2022-0764.1Paper 2: Spremić, Mina; Eidsvik, Jo; Avseth, Hansen, Thomas Mejer. Local conditioning in posterior sampling methods with example cases in subsurface inversion. This paper is under review for publication and is therefore not included.
Paper 3: Spremić, Mina; Eidsvik, Jo; Raknes, Espen Birger. Uncertainty quantification of FWI solutions using sequential local ensemble transform Kalman filter for full waveform data. This paper is under review for publication and is therefore not included.
Paper 4: Omre, Henning; Spremić, Mina. The spatial kernel predictor based on huge observation sets. Available at arXiv: https://doi.org/10.48550/arXiv.2302.00354
Paper 5: Auestad, Karen; Mai, The Tien; Spremić, Mina; Eidsvik, Jo. A practical and efficient approach for Bayesian reservoir inversion: Insights from the Alvheim field data. This paper is submitted for publication and is therefore not included.