Method of wavelet estimation and multiple prediction in full wavefield inversion

US8990053B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-8990053-B2
Application numberUS-201213356342-A
CountryUS
Kind codeB2
Filing dateJan 23, 2012
Priority dateMar 31, 2011
Publication dateMar 24, 2015
Grant dateMar 24, 2015

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Abstract

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Wavelet estimation method, particularly advantageous for full wavefield inversion (“FWI”) of seismic data, that makes use of both the primary and multiple reflections in the data. The inventive method uses an FWI algorithm to generate a subsurface model from primary reflections ( 101 ) in a shallow layer before first arrival of multiple reflections ( 101 ). The model is then used to simulate multiples ( 102 ). The wavelet is subsequently modified ( 104 ) such that the simulated multiples closely match the true recorded multiples ( 103 ). The simulated multiples may then be subtracted from the measured data ( 105 ) thereby creating a deeper top layer of data substantially free of multiples, and the method may then be repeated to extend the subsurface model to a greater depth ( 106 ).

First claim

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The invention claimed is: 1. A computer-implemented method for inversion of measured seismic data from a subsurface region, comprising: (a) selecting a shallow layer from the seismic data, with the layer's depth determined to include primary reflections (shallow primaries), but exclude first arrivals of multiple reflections of interest (multiples); (b) inverting the shallow primaries, using an estimated seismic source wavelet, to obtain a shallow model of a physical property aff…

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What does patent US8990053B2 cover?
Wavelet estimation method, particularly advantageous for full wavefield inversion (“FWI”) of seismic data, that makes use of both the primary and multiple reflections in the data. The inventive method uses an FWI algorithm to generate a subsurface model from primary reflections ( 101 ) in a shallow layer before first arrival of multiple reflections ( 101 ). The model is then used to simulate mu…
Who is the assignee on this patent?
Lazaratos Spyridon K, Wang Ke, Exxonmobil Upstream Res Co
What technology area does this patent fall under?
Primary CPC classification G01V1/282. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Mar 24 2015 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).