The Nonlinear Differential Semblance Algorithm for Plane Waves in Layered Media

Simple item page
dc.contributor.authorSun, Dongen_US
dc.date.accessioned2018-06-19T17:45:05Zen_US
dc.date.available2018-06-19T17:45:05Zen_US
dc.date.issued2009-04en_US
dc.date.noteApril 2009en_US
dc.descriptionThis work was also published as a Rice University thesis/dissertation.en_US
dc.description.abstractThis paper proposes an alternative approach to the output least-squares (OLS) seismic inversion for layered-media. The latter cannot guarantee a reliable solution for either synthetic or field data, because of the existence of many spurious local minima of the objective function for typical data, which lack low-frequency energy. To recover the low-frequency lacuna of typical data, I formulate waveform inversion into a differential semblance optimization (DSO) problem with artificial low-frequency data as control variables. To my knowledge, this approach is the first version of differential semblance with nonlinear modeling that may properly accounts for nonlinear effects of wave propagation, such as multiple reflections. Numerical experiments with synthetic data indicate the smoothness and convexity of the proposed objective function. These results suggest that gradient-related algorithms may successfully approximate a global minimizer from a crude initial guess for typical band-limited data.en_US
dc.format.extent81 ppen_US
dc.identifier.citationSun, Dong. "The Nonlinear Differential Semblance Algorithm for Plane Waves in Layered Media." (2009) <a href="https://hdl.handle.net/1911/102109">https://hdl.handle.net/1911/102109</a>.en_US
dc.identifier.digitalTR09-04en_US
dc.identifier.urihttps://hdl.handle.net/1911/102109en_US
dc.language.isoengen_US
dc.titleThe Nonlinear Differential Semblance Algorithm for Plane Waves in Layered Mediaen_US
dc.typeTechnical reporten_US
dc.type.dcmiTexten_US
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
TR09-04.pdf
Size:
1.85 MB
Format:
Adobe Portable Document Format
Download
Collections
CMOR Technical Reports