Q-factor estimation using reconstructed source consistency inversion

M. Shustak, A. Lellouch, E. Landa, M. Reshef

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We propose a new inversion approach to estimate Q factor values, based on back propagating the seismic data to its source location. If the correct velocity and Q-factor models are used, the back-propagated frequency spectrum will be consistent in all receivers recording the same source. The Therefore, we formulate a corresponding objective function inversion problem that is solved in a global optimization scheme. This workflow doesn't require any knowledge of the source wavelet or an initial Q-factor model. In addition, it is less sensitive to noise as it takes multiple channels into account in a large frequency band. While this approach is conceptually true for any back-propagation method, we construct and show its application using the linearized ray-based approximation. Through synthetic and field data examples, we demonstrate the application and the usefulness of the suggested workflow.

Original languageEnglish
Title of host publication79th EAGE Conference and Exhibition 2017
PublisherEuropean Association of Geoscientists and Engineers, EAGE
ISBN (Electronic)9789462822177
DOIs
StatePublished - 2017
Event79th EAGE Conference and Exhibition 2017: Energy, Technology, Sustainability - Time to Open a New Chapter - Paris, France
Duration: 12 Jun 201715 Jun 2017

Publication series

Name79th EAGE Conference and Exhibition 2017

Conference

Conference79th EAGE Conference and Exhibition 2017: Energy, Technology, Sustainability - Time to Open a New Chapter
Country/TerritoryFrance
CityParis
Period12/06/1715/06/17

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