A Metropolis Sampling Method to Assess Uncertainty of Seismic Impedance Inverted from Seismic Amplitude Data

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Abstract/Contents

Abstract: Inversion for geomodeling from data measurement is often ill-posed due to the large model dimension and the sparse, limited, and indirect data measurement, and the solution of the ill-posed inversion is a Posterior Probability Density (PPD) of the models. It is not feasible to represent the PPD due to its large number of dimensions. However one could sample the PPD to assess uncertainty of a modeling property. In this study, a Metropolis sampling method was applied to assess uncertainty of seismic impedance from seismic amplitude data for four synthetic case studies, one base case with single geological scenario and three cases with two geological scenarios, and results were compared to Rejection sampling and Sampling within tolerance.

Type of resource	text
Date created	June 2010

Author	Wang, Jing
Primary advisor	Caers, Jef
Degree granting institution	Stanford University, Department of Energy Resources Engineering

Subject	School of Earth Energy & Environmental Sciences
Genre	Thesis

Location	https://purl.stanford.edu/ch090ff5484

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Preferred Citation: Wang, Jing. (2010). A Metropolis Sampling Method to Assess Uncertainty of Seismic Impedance Inverted from Seismic Amplitude Data. Stanford Digital Repository. Available at: https://purl.stanford.edu/ch090ff5484

Master's Theses, Doerr School of Sustainability

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