Bayesian full‐wavefield reflection coefficient inversion and uncertainty estimation

作者: Jan Dettmer , Stan E. Dosso , Charles W. Holland

DOI: 10.1121/1.4781796

关键词: Inversion (meteorology)Reflection coefficientNetwork packetMathematicsMathematical analysisSeabedBayesian probabilityOpticsBroadbandInverse problemGibbs samplingAcoustics and UltrasonicsArts and Humanities (miscellaneous)

摘要: This paper presents a Bayesian inversion technique to recover seabed geoacoustic properties of multi‐layered media from measured broadband reflection‐loss data taking full‐wavefield effects into account. Seismo‐acoustic traces are time windowed packets with reflection different sets layers increasing depth. Each packet is processed yield coefficients as function angle and frequency. The coefficient inverted using forward model. posterior probability density sampled Gibbs sampler that steps through the packages, results for one package prior knowledge constrain subsequent inversions. Prior about number their thicknesses obtained separate picked travel times. final considered full solution inverse problem interpreted in terms parameter estimates, marginal ...

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